LibreOffice/6.1.5.2$Linux_X86_64 LibreOffice_project/10$Build-2
0
0
14099
9999
true
$(brandbaseurl)/share/palette%3B$(user)/config/standard.sob
0
$(brandbaseurl)/share/palette%3B$(user)/config/standard.soc
$(brandbaseurl)/share/palette%3B$(user)/config/standard.sod
1270
false
$(brandbaseurl)/share/palette%3B$(user)/config/standard.sog
$(brandbaseurl)/share/palette%3B$(user)/config/standard.soh
false
false
true
true
false
false
true
false
false
false
$(brandbaseurl)/share/palette%3B$(user)/config/standard.soe
false
7
4
false
0
low-resolution
false
false
1
1
true
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 870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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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Coinfection of dengue and covid-19 clinical epidemiological
behavior in latin americ.
Coinfección del dengue y covid-19 comportamiento clínico
epidemiológico en américa latina.
Autoras:
Cornejo Sánchez, Rosa Aracely
UNIVERSIDAD ESTATAL DEL SUR DE MANABÍ
Egresada de licenciada en Laboratorio Clínico
Manabí - Ecuador.
cornejo-rosa4123@unesum.edu.ec
https://orcid.org/0000-0002-8193-5259
Mecias Zambrano, Cindy Lisbeth
UNIVERSIDAD ESTATAL DEL SUR DE MANABÍ
Egresada de licenciada en Laboratorio Clínico
Manabí - Ecuador.
mecias-cindy5227@unesum.edu.ec
https://orcid.org/0000-0001-5964-0377
Dr. Reyes Baque, Javier Martin, Msc
UNIVERSIDAD ESTATAL DEL SUR DE MANABÍ
Doctor en Ciencias de la Salud
Docente/Tutor. Facultad Ciencias de la Salud Carrera de Laboratorio Clínico
Manabí - Ecuador
javier.reyes@unesum.edu.ec
https://orcid.org/0000-0001-5895-2387
Citación/como citar este artículo: Cornejo, R., Mecias, C. y Reyes, J. (2022). Coinfección del
dengue y covid-19 comportamiento clínico epidemiológico en américa latina.
MQRInvestigar, 6(3), 870-890. https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Fechas de recepción: 01-AGO-2022 aceptación: 17-AGO-2022 publicación: 15-SEP-2022
https://orcid.org/0000-0002-8695-5005
http://mqrinvestigar.com/
iVBORw0KGgoAAAANSUhEUgAAAGAAAABdCAIAAADVHvQcAAAVYUlEQVR4nO3caZNUxdYF4IPi
gOJVlEZEAQUBERkUlEFARMMQw59rGKFMCsggiIyCIgqCTM6AOMv7cBYcyuruqlNVTXff+5of
OqqrqzJ3rlx77b0z8/TYq1evFv+2wdvYkTZgtLd/AWrT/gWoTRtdAF25cmXMmDHjxo0baUNu
ttECkFhx/vz5s2fP3n777VOmTJk4ceJIW3S9jQqALly4cOLEiaNHj545cwaDHn/88Tlz5kyf
Pn3ChAkjbdpIA/T3339/8803+/bt27Fjx4EDB3766Sdv9vX1Pfvss8uXL583b95DDz00shaO
JEAXL1786quvPvnkkw8//PDQoUNc7LbbbuNr33777S+//EKP4DV37typU6feddddI2XkiAH0
448/8qk9e/bs3bv3+PHj4KA+/AtAYCJGMPr++++BtXjx4hkzZowfP35E7BwZgI4dO8atsObT
Tz+lPn/88QdQgo6fRanZ0Nm/f/+lS5fOnTv3zDPPLFy4cNq0acNv6nAD9Ndff50+fXrLli2b
N28+derUr7/+GnSKEpTqZ2D6+eefsezkyZNffvklit15552TJk3Kh4etDStAotXnn39+8ODB
7du3HzlyhE+Bw8/iBi5Vy6+wAChocM2v0CTb3O3BBx8cNpt7BcgERKLB/hqvycegAxrRiuPw
Gu97s9GnBvyupn8sI1XiHVFPdINRvDIfHrDk9tfbytbLBHsCiECYtp+///57ccMv8iKvM8k/
//zz8uXL3AQ0YpZoFe4U5cSqbw3YGhEkWJSbupNwudI999xTKVfVMmjWTOz7z3/+wyt9sus5
dgMQOywpFlAHS8pi5G8EpQkgH/7hhx8A5PNmePfdd1ezqjNcI02QaPfu3XrjaPfff384EpY1
AoSbRQmQjJy0QxPj7rjjjtaLMWDrBiDaaTE//vhjgpLUrmkmFTr5lbm+Akeh+r777qtm29Gg
lbcmwPk1vMj7oUyjwAcv8Ek15eWLFi2aNWsWme90sh0DxBRutXPnTkKLOA+WLaRoEqPGlbeS
SocBO2xc1daoNfljFfv6fyu0Yh6uiYNff/21ReorW6ck6hig3377TZwmJVK4ZcuWyeIsUdjb
dnrFIGLc9Jm2rYmhg/XJta2lNJ3AM1j5Yi3Hju1syh0DRI+/LxuGy99Wr15NCzrtZNiaVRRD
qMF3332HTcLFLQcIV62MkfgzQYlSdtrJsDXm3XvvvUBhs6VtkZEM1roRaUEaOjAypKjUSxC9
1Y15oLGEMOpuIbsBKFG8yuK66GHYWsJ/lXZ0cYQzKjbMRnPrGKDBgtHobxWPOmodAyQ9FdTJ
EN/u9Lsj2KKbXWy8deNiceyi2zUZztZoYf3iprF1BpCwdeLECRWGPEj47HSw1k0KipXSCHlw
d6vdoinijh07NmXKFHVZNlhqts4AUppu27btgw8+kLzPnj17qJRITaBSk8gp2ayBCajCZb0P
PPBA7zDFSOu6detWJZEOH3vssfpfrwWQlEdKCpR9+/YpwVSqVrvoTaovX76Mhklw/fTaO7rF
IE5hJsHoobLlRXcHijFSUX3o0CE96Hz+/PmTJ0/OjlLbr9cCSPG1f/9+6KhowESDGjdJu2gQ
OX78OKDRXoesB41cjmfp2Xr4VedgUuU++uijTz75pLJmxowZnSalle7oVtLIfiQ9deqU4l6H
PK5tD20AYjq3Ust89NFHR44cwSMjcYGu80OTP3v2rA7VkNktsaRKFkvKocwfTLwMmy5evJhd
pKgeHJ9//vmnn36660NXlkMHj1JL6h9MjzzySGsxbQUQ+w4fPrxr1y7cAROjG3c5u2jcBzq7
d+/euHHjwYMHSTLJNOd58+bRBTCB3hDZYzUB/Dpw4ACiGd2U6BR8lyxZwvu6toH9OVPSm+VR
4s+aNavaperfBgaIanIrc7DUID9z5gzLGjeiurCs2g/csGEDqmPK3LlzV6xYYRkBNGCR7f2Z
M2dmo/bo0aNIJwVTf86ZM6e7Y7IqywWN2V25coVJFy5cyAoNuPYDmMX/v/jiix07dghY6A3s
lDMDbrvUJxRGmKQI6KcVW758OXTQx1R1wq2Ya2gyBIJoHPIDkVJYZNHHaiEUZ/QVMbRrLle7
RXTQ2qMC25YuXUrs+q/TP35nH5XxNYtmqYkOtlelaXfWVI00ErLPPvsMBM8999y6devQ2/sn
T57kRKzkRIw2+UmTJkUa2IO5Xj/11FMcnFOQpL17906bNo1sd5TONLX4AUex/ATEKJcuXRLd
pk+fTuMae74JECzAaXhMBs358+eDTjH4oUp9g6ijPnmrPuHy8ssvo4b3QbNlyxYj0uCkDgnw
0WwiaA64tmbNmoULF3IH4Q+glvCFF17o/XQsa4+5MOJolhCPDGRJqtldB4h85pYF+TQN8xnC
MsLMzT+3W8w8RgDCO++88w5fPnfuHOJYPX6EKdEFbAeQn9nMphECMy8D9MmyYWLvB/Y5F+Hg
VIUw5YqAnqss6SZA/mwCUES2Xtjbv3ENniUSsUYuQ3cmTJgAsvfLBg6xLKgJ8z6GxXycMUwi
QN4EHKOB61eyCD4k6uvr6x2gKktim/UwfTEOAvh7E6Bk996yVqIGViffGRIG5UxVwOYdtPmJ
J55AYGZZMYoLJikyp1u1ahWng8LUqVOJNNIBLtlj9g90Bdbk0whOAXCtIxRa/Cki+/DDDzOP
wBnI9Amica8BhFcp0C3v2rVrGSEEWsmmawX1R21sOjEZQFgGTEmksEqGoLgsEGJlgP6UQyu8
QCUe5AO+CA7OGEb7MLCywWwVc5xbB53BTA0DzN0QDDAunbZ+ehbX/AlprgHEBfCWNX5nLhRF
DdpJkny0xQB1ciIBAnVFKFhPKps+qc/OnTvRirJIanCnOhphtBWyhozmXF74UxhUnS+bUus7
AXVaRJZVeC35XLlyJUuKMm5gKCKz7TpAuEqYhRLgiSA0wouU0TI0/MpJbnce57tWm7MkxxO8
czCrZ6gZC6ea7tkZ0Wd8MV7PmKQnqT/0lkP3ri/DVuliDmYWLFjw6quvEkETtGzihlFWr15t
9CIaZCnYxAsw39hSAzwCKgs4JOyUQt7sDqCczedogUGcRVdUCW1xxOSh03R2mCoMEDk1Rn7g
MpKKoTnsqLU3uy7KcghsqWSbIqOkTCLKKjN99913ubaJGz0MvQYQmiEz64Xb9evXZ/+BcPoy
j2ClvwpD7K4yo+6QqrwjeGFBXKnxYywjf7nmYHnMARzeR7eUrEUZ8gWTLvKgQGORTErPkqkc
t5qyJHb79u0CKAUAfa6OXAfo9obGFwQXP8Hhy0yRpFln2UqUu+jQ1+LnCRNx1QxUlMzNFaHG
z7M1V/MYSrANnfcNzTChDabo05jL1bEhL66W97Wix3wKyjyG/sJF5SB1YM/YsuXC5HWA8iqA
+cnVpSFWjDXKJSQXZTgkpPfs2ZO1/bNsdQJZ9k/5CGpwZNOWvJi53vA0OWECai6THT58mLng
wCyaxdCkHVYIcEzn/ha//oZvFiYrYWjomA7uiEV61qeS03xxs7HkrKZ2HaDGmyuayYvBKSBR
iYyJa6aEe7QcTJzRZ6rd+xbNDMeVDeLYIQfTiaXj9uyDDueVXnjTQNZQNesd42b3A4iUEWSb
Nm0Ck3hner5enz6MZKoXhiA3iONn3EpevmvXrtxADtOLhszoJoOa8K5eJKv+tmw4ySxqbxjL
qGtraNnbAuTDKT7PlE2f+hG8li1bFpIKHEwhNMYS+JlLv5P+I79U2+iG86ZF4u+ihw5ropNQ
RVDwxYhqQJkOs62BPrmVFwPuc/0DoP5lV1XB+zLOA5tAvvnmm1ZP6WhI6PALKlsHIEKm+Jb7
4AIIFi9e7B1d6RMTSRuYkJ+VtA+tzMeye4H5iKzg4NRWaN26dVxevlvckPw6BSM/JfZU+fXX
Xxd22GNJ3n77bWxljxEHQ2dgBvVfAQurPlQZ+ALsk9p57X2v294mSX5o8c0Wk6U/EKFoeKS8
SB2bmABuOVGyD0sCtRQTVNnEcEfQYA+KIRcHJGRtb94wWCZlIMRHIjZblbfeemvz5s0WOBuY
jZNtRKoZoP5LMebGPSUomAP10SkV4CBGZaJlr3OpjQCRRl/MnUZeg4CLFi1CRpPkd9wnaSEo
/WQogHK1J0Xiw2VDJfk9JpoVT8FEmLZmUIamODhodN6wv2yNF4UG7KEug4qGGIeQTAwz+bNV
zRl02x40JkKEJMs12MeD5HtoJSSBGyOYe2/Z8nnrkcuzOQLKJmfu/UEzO9l1xtVteMFVfT3x
MWl9TZkfWIP6NwDp1DoAiDpAiqF0AZVqnS6NHSs2XykbJoodOEKGoJYtVLrTWDqk0AEQHPma
QU0vF8WgI0iT6joXDlEeNIrK7AJiK7w6uu7awcmqTvEFOU+fPk0dUoIKmXy7zi087sAvUoJH
fXWC9jnD0wOAQskk3NkPNQohp1NWnhtiHPLSFFlC6+Hip2KCFFleQnrInDc7vUl1vRar6vLW
28/IYgCfRx9iGSl98cUXuVvEtXXzGYDyI2KcwxKkiBN5E4kqgGDBEdAH48DkfXzhksnI6pwd
kzDEkQSKCSDWSVEmZZ2WSh3f7khQNAHoWBMsMLaZWFvJTmtJ8kVk4R1YY5LkNvfQg0VqvWp5
EhygJkJTaBqPgNKFtodiSIrj6hI5pwWATlH6eBfoFF1fwavOV5E/Vw/M0MxNu60kJVegO7jg
i8Q4TKyO51P353gDlMK8iAlZL9pWGERHeknjoCNmZd8r4bwjdCqX6vIKXiosXaCP5Nii4ZSp
Znci9XeLFpfR8ms26glwI0BASXTPblnbZrWEV3Iu1SI6PAvid5Wtl73j6wA1Vhj1v5zU0U9B
LScnRHFZ2TrarEEW08CX1HfFjaDpzfrHB9BR0Ap2EgIZaZ4v6+75jKJ3BlXt2rZ2uUls/fkL
aczFDLJt8etfxrijbN3ZkKcSrVC2iREnsRxAvZ87NDOoixY1Lcrd1RSWOfNWGSjT2ya7vbTE
01SekkD8zcM1iYa9jNtBJl2nRZKyScTRkIjdXkgFUanpMHeomrG4kmhFkumxcIFKxQ1SD9Uo
Q3lPurq8wlBpDhJ5DR0B6FYAhLAyKcUHzxIHE1iH6jivakMJUAL8mPKqRtJWwuT1LXoMN3tG
hiBAUg1RL4cCxZBe4x5KgGJWLujJ7h4rmwKCLqR6lsX0KJy5kpGTKK6Uo9qZM2fmqkUxpNCk
DRlAOTBIy57RM2UTqgmEUghGKlvJYdePv+tZBSf/lijD3RAyKXUZmHg0qebUuUU8hF42ZACl
gGKZJV28eLGCW8aYMwPpiWJaEqhcSJSZMmVKpzoqk1DZ6kqKDG66lif6cndPlaPczWF/DnaG
al5DBhB0eJAiW+2qImWxQJbbn5JayZucOwfqipJkAC1uBjY1XUmRd+/eDWgMEh+hY0Sg59jP
kki7gAVB8NU8tq/TegUonpUqlEMtX76cxXIfoiD6ymsxHyJor2QX3fLfJuRy3pw9e3bby8q5
op2zfFgrbqGsK4MCnU8JZCtXrjQoJVKsGRruqg2jXG33zHmd1itA2btBBz4FHdW2X4mOySC8
OYgyuQCdvSTRLYe0AjNeoFJ1NNi/4QiXkQHCOlva0ElvRskOf7ao9YZEMFq7di0ebdu2Dd1y
I6n1Bk6LefVUaoQ4Fj+bO9xqzZo11IehLJOYQMf8jaHaqI6cksKZVbavOJ255f5CU5meE3pl
cA72FBB4BJc8Xp3mtY9hIhc+W7aXXnoJTEuXLkUl44LVm0Le1fL58O4CXN0t1yZ0ijKm0NoF
CxZgAYZbNysMmvfff1/Kn7OtJvep5paEGzVMj/T6+qJFixolCe8+LhvngmYUpwK60eacX0uF
VPAkCRyILMCJD5MnT4ZsNsyKdnuBrQDqtLEpFz9yTEYjLaZpbN26ddOmTdApbuyrDfj1FEq5
FUkpxGxo6lOMS2hDKxMDdP5fh19T1g/YYXUcCsRs6aOe6DZp0qTVq1fDCO5I7a/59xCdTnZs
0UlyFc/M9eUXykZBrFtWm1vJU9rmzVVxa+YAyhk/KtGm7BbmvwEcOXKEg+TAI/cdWthZEUon
eVyer2WLVviXtcIo//qjprt0U6zmagT3njdv3ooVK/iFsbOvLDdJ4KhZQ6erBKNsS1p5HMzG
ttXmYrlpi6rV5ZA6RkKHJQDKcdv8+fOlY+PHj9ezdQW6RKyjSzx1AUrI5FZwIckw8qZ1zj9n
Q5z66FSt8g4kyn9IoWJF+Sx3TsRwJ0JWn+M5eoGvqIfaYOJuotsrr7ySPUzvU73qgaW2rQ1A
1dIhiyC1ZMkSbqViyMG53AR1yURx44iu5jTSAno8KIk41mTQlGxjunqWO31mk5NtXohrcjRs
MguZF2nLihY1lLsNQDlmmDhxImemxwIWfxZ989yhBecOvef1FRCNV0+6zvGqr+tNBMipLMFG
JapEIig3Oc+m9YA9VLdFi8EAqiKoEMCtpCo0T+ykGlJ+0WrDhg25xNtaOzuaVXXzrPfWaJIY
L2PEF0jlcghCiQZWnVr5U/4/atGPqgMD1LhuvBRxXnvtNdAgDq5KvaTIuQafpwOHZD63tGW3
k+5s3LiRx9FQ6x2hQKj169ebVNPCNFL4JkAVfoijR4jQ/zfeeEOK7KOKcnKDmVCXaDTmbKO8
xVRxQIIGILKATQBSFVXPPxEN7tZU4t5kUOOtPOj4DreS2pJknmUA+f57772XqxFCzH8LNFWr
JIkTiLmplqmSapmwEgpynusCuayX5OMfAAGPi3qXzsuMAw2AkSW7OegjW2m6cfRf1Cr5N6P8
01iJhUqAepgp2SZJ5ihxSZEYNIrGyws5CM//TFq4cCEXg0ieO8yDNz0epIySlimIblIKqemq
Vasod/4Vap50FN2qW8pFxaA8paHkQblc5OOx0pw8QYmEvf9DwlHSqgBNj5QyeUwCldRM8oCI
L0cT5nKr+xpA5p9/b6kpyrmbUEXbYZlNhgqaId8SH5EWjOIQeCDhRijoiG4SPVUud0Go8Oga
QOgj38lmqGIv211+RtsaD1L+B1ysapkamog8qERGiHT+20CecbzpYnnoIdeU80S7erqq6LIR
U/xv0aeaUVBADulLbpio2mR/2Y0rKhcryoQqT7WAkKPl0bXin7g0MWgwWg0PlN3Ruf8Uqgtt
RflIcYyvblLcfGZVI1TSQrqVq3bVpld/IFp7XH+AOtrN6z9QRx9usWCNJV5jz9VjNePGjRPv
cwun+aFev/f19SlVol79+xqs9/4G9X8W8FYA1OgsTXY2fbItQMWNXfbqUa1mgO4sW80J/L9q
/wcXiytXbmz+8gAAAABJRU5ErkJggg==
/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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iVBORw0KGgoAAAANSUhEUgAAAGAAAABcCAIAAAAeQie5AAAVgklEQVR4nO3c6XsUVdMG8EHj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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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iVBORw0KGgoAAAANSUhEUgAAAGAAAABcCAIAAAAeQie5AAAVPElEQVR4nO3caZcUxdYF4EIR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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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iVBORw0KGgoAAAANSUhEUgAAAGoAAABoCAIAAACWi/LLAAAhR0lEQVR4nO19eZAdx3lfHzPz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Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 871
/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX
FBYWGh0lHxobIxwWFiAsICMmJykqKRkfLTAtKDAlKCko/9sAQwEHBwcKCAoTCgoTKBoWGigo
KCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgo/8AAEQgA
VwBYAwERAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIB
AwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYX
GBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeI
iYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn
6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIB
AgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDTh
JfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWG
h4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm
5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A7P4+fF7WPh7rdpaaZZJNDLHvZ3XgH0oAf8Ef
jlF41ujputIkGqSN+5SMcMKAPc6APNPjN8ULP4f6S4DK2qyLugibo1AHlnws+P8Ar/i3xpYa
TdafCtvO2GeNfu0AfT1ABQAUAFABQAUAeR/tN6daz/DDUrlrNZrtAAjhcsvWgD4t8B+IrzwX
4qs9YgtyZ4T8quMZzQB+i3hnVv7V8M2OpStGrzwiRsEYUkUAfCvx98aXnjPxpNDPAoFg7QR+
WM7hQB7N+xrplu2kanPdWWLqOUbJZEwQPagD6cGaWoBTAKADvUu9wCqAKAOb+ILXqeGLltNs
4by5/hil+6aAPj74z+GvFWpwLrl/pFpY21qu0pb4yffAoATwZ8SI9N+D+uaRd6nMuryEi2Bb
lR6UAc98JfDniPU9a/t/TbOK8+zv863J4kJ+vWgD7G+E02qtp902t6Xaaawb5RBjBHvQBy3j
/wCNlro2rfYdGCXDRErKzdAa5K2J5NEfQZdkksTHmqaIxtB+Ppl1SCPVoI4rRjh3XqKini+Z
2Z14vh32UHKm7s9602/t9SsobuzkEkMq7lIPau1O+qPlpwcHyyLNMkKACgDkfip9k/4Q27/t
C9msbfjdNF95aAPG/hxZeFb7xNFAPEN/qgZGzbXGSjfXNAHknxC8OeEYPi0LS2e5XS5Jv9JK
ocRnuBQB7V8QtJ8I6VpujRward6PCYht+zAjzeOpxQBNoU9rbfDDXJPDusXmouM/vJc7l+lZ
Vm1BtHdlsIzxEYy2PH/AGhDxJ4tWyvklVZ3+aRgeK8qEHUlZn3+JxMcFQ54dDovjN4DtfBzW
0dh5k4lGScZxV1qHsnoc2WZq8fF+0Vj1D9ma6up9EvEuGlMcZAjV88D2rswkm46nznEFKEKq
cD2uus+eCgAoA5r4ifav+EXufsFjFfz/AMMEv3WoA8y+Hg8Qf8JLF9v8KafYwbTmaIDcPagD
O19/FS6/eLb+CrGaEzfLIyjc49aAOh+IY1z7HpX2Hw1ZXr+V+8SUD92cdBQBb8FHWU8Jakbz
QLOyuMnZBHja/wBamWxrQ0mtbFXwXNrcniCNbzQbO2hz/rI8ZrGK12PSrzXJ8TZufFF9TjaD
+zdLt74Y5MuOKqovIwwckvtWPOtf8b+NPBmjNqFp4etksUGZigBAp01YnGSUnvc4df2qNa/i
0uD8MVozhNnwr+0/Lea7awa1YpbWLnEkoI4qOR9xn09pWo2uqWEN5YyrLBKodWB7GtBHn/7Q
+oXWmfC/U7nTro210mNrqcHv0oA+Vfg58TdTsPH2nz+JNbun0xT+8WRsg9KAPsSfRm13X9K8
S2eqzJZRRhhAv3ZB70AfNv7TXxLlm8TW1t4V1eeEWylLhYmx81AHT/s7a3fa38Ptfk8QaxMV
RiFkZsuo9qmWxrQvzqyOm+HQ0r/hJYza+Iby7kUk+VJnBrGFr7np4nm5NYnS+Nf7O8Xw3E1j
rc1ounZWfyz3qqlmrnNhXKEuW17nHeI2tYvgj4gj03U5tUAU53ckU6TTWgY+MlL3lY8Z+A/w
hs/iJY6hPqNzNam2YKMAjPStTgLfxm+A9z4NsI9R0SR7ywRSZ3b+CgD0j9jPU72+0vWIry5k
mihKrErHOwccUAT/ALTfg/xl4p1i0j8OpLNpvlYljU4Bb3oA8JT4GeO9650lgM+v/wBagD7m
8G2M9h4M02yuV2zxWwjZfQ4oA+MvGvwX8a33ivVbq10svBNOzo2eoP4UAafw7+HXxE8MazFK
2nv9gzmWBm+R/qMVMtjeg0panvHgpdVbXiLnw3a2UTKR5qAZFZxvfY7K/IoaSucd4YnvvCHx
L1HQdVs0lsdZkLKTzx2rO7jLlfU6XTjVoqrB2cTrtE8Nah4b0zxIYNPhuBK5MFux+VhWlOHK
2cmNxCrRj3PNvGviTxzpng+/jtNBtdHtmwZZoCARj6VsecZvxI+NVpN8MbDw/pMv2ue5txFe
SOcsp/8A10Ab/wCxOpGn66SMfMvXv0oA+n6ACgAoAKAOc+IcWpT+E76PRGZb5l+Qr1qKl+XQ
6MM4KoufY+cfhR4n1wfEUadrGoznaWUxynjNclKcuazPoMZh6To81NFjTr+41L46sNUuCfJl
ZYA54HTGKzU26up21MPCGX3juenzW2p22i+JW8RahJa2TtmG4jOSg9q9CNz5Gq4tJRPAvHo0
UeF7r7H40vL+c4AtnJ+f8KowMu4+D9rBf+Ebd7/A1pQXJOPLzQB9leCPCWmeEdGgsNLhRNiB
XkAwXPqaAOhoAKACgAoAKAPPPF/wv03XNVi1Kzf7DeLnc8Y+9WM6Slqj0MNmEqKcXqjnPib8
J/7R0+31DRJWi1ezXIdeDIcVFSjpeO514PMn7Tlq/Czh/hZ4s1ptePhPxVbvfWlwxR/NGcEV
GHlJO0jpzahRnFVKRieJtGtH+PGiWF5oUFnpqy7Y1TpKvqa7D5ss/tgyHR9R8OHS2Ns8SnZ5
fG3r0oA+hPhVcz3fw/0We7kMs7wAs56k0AdZQAUAFABQAUAFABQBz2sweH9Aim1vULeCARfM
8+3ke9LlW5o6s2uVvQ+ZJ7/TdS+POh3ukay2qQzS7whbPle1MzZ6N+1N4Fh1/wANf281wY5N
NThP7wNAHW/AXxNpmueA9OttOnEk9nCEmX+6aAPSaACgAoAKACgAoAKAOd+IHhiLxh4VvdEu
JDFHcrgsO1AHkvgb9nWx8K+J7LWI9Vkme2bcEI60Aeu+OvDkfizwxeaNNKYo7ldpcdqAOV+D
nwut/htBfRW161yLogncOmKAP//Z
/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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Resumen
Los países de América Latina viven una compleja situación epidemiológica, al coexistir
en ellos dos epidemias Dengue y COVID-19. Se realizó un estudio con el objetivo de
analizar
la
coinfección
del
Dengue
y
COVID-19,
su
comportamiento
clínico
epidemiológico en América Latina. Se empleó una metodología de carácter narrativa,
documental
e
informativa.
Se
realizó
una
exhaustiva
y
completa
búsqueda
de
información actualizada de los últimos cinco años sobre el tema, se consultó en total 58
artículos de los cuales se seleccionaron 14 artículos para la investigación que abordan el
tema a investigar. Predominaron los estudios sobre población adulta (78.6 %) en relación
con la población pediátrica y en embarazadas, igual existe bibliografía limitada sobre
presentación de casos con coinfección por Dengue y COVID-19. El comportamiento
epidemiológico de ambas epidemias estuvo caracterizado
por una elevada tasa de
incidencia, no así en cuanto a la tasa de letalidad, la cual fue baja en el Dengue y elevada
en la COVID-19. Ambas presentaron un comportamiento clínico similar, predominaron
la forma no grave de la misma, sin embargo, la COVID-19 presenta un elevado por ciento
de la forma grave, destacándose la presentación asintomática en ambas enfermedades en
un porciento variable y se reporta un diagnóstico demorado en los casos con coinfección
por Dengue y COVID-19.
Palabras clave: Dengue, COVID-19, coinfección, América Latina, epidemia
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 872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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX
FBYWGh0lHxobIxwWFiAsICMmJykqKRkfLTAtKDAlKCko/9sAQwEHBwcKCAoTCgoTKBoWGigo
KCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgo/8AAEQgA
SADKAwERAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIB
AwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYX
GBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeI
iYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn
6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIB
AgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDTh
JfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWG
h4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm
5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A19YTxX4w+Juvs3iTVtK0HTbl7NItPvZIN208
EhWHPvSbE2aKeCdQb/mfPF//AINrj/4ui4XLMXgDUHBP/CeeL8Dqf7WuP/i6LhcqzeGbS2bb
dfFDxNC3o2szj/2egLkf9g6X/wBFX8R/+Dmf/wCLoC5atvBpvf8Ajw+JHiq4/wBzWJz/AOz0
XC4svgPUEOD478Xg/wDYWuP/AIui4XKz+C9RX/mfPF//AINrj/4ulcVyBvCGpD/me/F3/g2u
P/i6LhcjPhTUh/zPfi7/AMG1x/8AF0XC43/hFtS/6Hvxd/4Nrj/4ui4XD/hFtS/6Hvxd/wCD
a4/+LouFw/4RbUv+h78Xf+Da4/8Ai6LhcP8AhFtS/wCh78Xf+Da4/wDi6LhcUeFdTwT/AMJ3
4uwOp/ta4/8Ai6LhcoTWEVu5S4+J3iWNx1VtYnz/AOh0XYXYsGnx3LhLb4m+JZXP8K6xP/8A
F0XYXZePhTUwAf8AhO/F2D0/4m1x/wDF0XC4n/CLal/0Pfi7/wAG1x/8XRcLh/wi2pf9D34u
/wDBtcf/ABdFwuH/AAi2pf8AQ9+Lv/Btcf8AxdFwuH/CLal/0Pfi7/wbXH/xdFwuH/CLal/0
Pfi7/wAG1x/8XRcLh/wi2pf9D34u/wDBtcf/ABdFwuc/4vPi7wMsHiPRfFet6ja2fM9vqGoT
Sxv9VZiDTTGmfS3gbVJtc8FeH9WuwouL/T7e6kC9Azxqxx7ZNMZ5P4WXd4n8c/8AYXl/nSZL
OmnmttPspby+kWK3jGSxOKQHzn8RfjTqWq3smmeFFeJN2wSRjJemMzND+DvjvxcBe6is8cb8
qzk8/hTGdNf/ALMmtwWiyW2oGWU9U9KAOL1Pw58Rfhm32orcx2qNw4JYEUAer/C74y2fiAx6
broW3vT8quf4zSsKx6xcQ45GCDyCKQjPmTrQBUcYoAiNACUAFAASFVnc4RRlj6CgDxjxb401
nxP4k/4RzwUrFt2xpV/WmkNI6VvgXpHh7Rv7d+IXiCSNWIEmWI2se1MYknwIsNY0ZfEHw816
SVOTEAxIcjtQBh+EvGOteG/EC+HPG8TRzMcRyt3pNCaPYOMAg5DDIPtSEJQAUAFABQAUAcf8
Yv8Akmuq/wC7QgR7l8J/+SWeDf8AsC2X/ohKoo4DwZGH8T+OMnA/tiXJ9OaTEzxD9oTxvc6r
ra+G9Id9kZ2SbD980Aevfs+/Byx8PaRBrGtwJPqc6hgrjIQUxnvKIsaBUUKo4AA4FAC0AV9Q
sbXULZre9gjnhYYKuuRQB8a/tCfCWXwXqK+IvDoYWDybiq9Y2/woA9J+B3jNfF3hYQXL/wCm
Wg2vnq1JiZ29wmCaQjPlHNAFdqAG0AFAHIfFrVptF8EXNzbHEr/ux+NCBHSfsveBrPTfCcGv
XUQbU7pi5cjkCqKNT9ojxL4OtdGi0PxmlxJFcMJVWD7wx34oAt/s++JfCeoeHDo/g5Z0trMl
ik33ue5oA5n9q/whBe+GY/EVqm3UbJwdw7rQBl/DLVZda8E2V5ccy42H8Kkk6agAoAKACgAo
A4/4xf8AJNdV/wB2hAj3L4T/APJLPBv/AGBbL/0QlUUeb6RKbc/E24X70WozsPzpMTPBvgLo
/wDwmHxYF/fDzIopS7qec80xn0J8ffiunw+sYdO0xA2pSqAqj+BfWgDxmLx98WrXTYPEE0M0
mkuwIwpORQB3PjP4+32meD7X/QDb61cqP3Z6getAHDx/ED4sabZ22vXkE0ulSMCoCk5FAH0P
DcyeP/hVcS6nY+RNcW7YjYcg460AfLHwKkuNB+Kz6IxOxnZW/CgD6jv02zOPQ1JJlTDmgCo/
WgBlABQBwPx1R3+HzmNSxSUMQPShAj2H9nzVYNV+GWmSQMuUGxlHYjFUUeP/ALZXhW8uJLLx
HHzaW6eQ/sSaAND9jfwreWFhfa/OMW16gjj98GgD0L9pfVYdL+GV75pXfMdiKepJoA81+C8b
x/DqyEilWZi2D71LJZ2tABQAUAFABQBx/wAYv+Sa6r/u0IEe5fCf/klng3/sC2X/AKISqKPM
7L/jz+Kn/X/cfzpMTPL/ANj27hh8V6jBIB5sh+WmMi/a6tprX4mafqU0TNZ+UgzjgkYyKAPZ
dH+Kfg3S/hjp11eXFtKixqptBgsD9DQB88/HzWLXXPGem+I9PtmTSGjjUDbgZHWgD6Jsvil4
M0n4a6dc3txbXCLGqm0GGYH6GgDvPDHiPTvEPhH+1NMj8uyaMkLjGOKAPkLwLKk37R0skX3D
O+MfhQB9Pal/r5PqakkyJqAKb9aAGUAFAFXVbCHVNOns7hQySoVGfWgDx7wL4t1b4M+LprDU
0eTQp5M5/hAJ7VRR7l8TptK+LPw7Om+H9bs4riZ0lCyOOMdjQBN4C1HR/hR8NrfTNe1m0mub
TczLG4yc9hQB4L4w8Tar8Z/GkENpG8ehWz5GfukA0Az2ewtIrCxhtbdQscagYFSSTUAFABQA
UAFAHH/GL/kmuq/7tCBHuXwn/wCSWeDf+wLZf+iEqijz3wxb/bNT+IdoRkT6pMn5mkxM+c9A
1B/hj8aA84ZLWOf5h2Kk0xn2N4l8M6F8R/DUJvYo5opUDxyDkrmgDy20/Zi8Pw3yTyXs0kat
nyznBoA9J8Q/C7w7rPhhNFa0SOGMDYwHIPrQB5rYfsw6Bb3kc0t9NKitkxnODQB2XxS1rR/h
n8Np7W0VIPMjMMMYPO4jGcUAfPH7NWh3Gq+JrrxBOpPksTvPcmkJn0helmdjg8n0pCMuYN/d
P5UAVnVv7p/KgBmxv7p/KgA2N/dP5UAG1v7p/KgDO13QrDXbQ2+p2omX+EkdKAPNpfgmsd40
+l6xPZqTkIpPFO47joPgrG98tzqurT3oByVYnmi4XPSdG0Sx0S1FvplqIU74HWkIv7W/un8q
ADY390/lQAbG/un8qADY390/lQAbG/un8qADY390/lQBx3xjVh8NdVyD09KECPcfhP8A8ks8
G/8AYFsv/RCVRR8v6v8AFG88F/GTxXYOA2lyanIzgdQSetIVjpPix4Ps/iN4ai8QeHCj3Uab
iF6txQgON+DXxm1DwFc/2H4kSWSxRtuG+9H/APWpjPrLw/468Pa7Zxz2Wp253jOwvyKANyfU
bOCISTXUKIejFhigDz74g/GPwz4Rs3f7XHeXODiKFskHtmgD5I1vVvEfxm8aINsrWxfCov3Y
1oA9x1nV9J+D3gqGwiKPqJTovVjiluI8Tm+Ovi15GKywhSeBt6CiwWIG+Nviw9Zof++aLBYZ
/wALq8V/89of++aLBYP+F0+Kv+e0P/fNFgsH/C6fFX/PaH/vmiwWD/hdPir/AJ7Q/wDfNFgs
aOi/Ezx9rkrxaRbm7kQZZYo92KLBYdq3xJ+IGj3sVpqlsbW5lx5cckeC2TgYosFitqfxY8ba
Xdta6iq29woBMciYIB6UWCw/Ufip4501YG1CMW4nTfEXjxvX1FFgsUv+F0+Kv+e0P/fNFgsH
/C6fFX/PaH/vmiwWD/hdPir/AJ7Q/wDfNFgsH/C6fFX/AD2h/wC+aLBYP+F0+Kv+e0P/AHzR
YLB/wunxV/z2h/75osFjP8QfFPxDr2jz6bfSxm2m4YBeaLBY+7fhP/ySzwb/ANgWy/8ARCUx
nwh8df8AksHi7/sISfzoAvfCX4l3vgzUEimcy6c5wyHkKKAse4634Q8HfFXTRqGk3MNpdsNz
OCASfpSEeX3fwY8baNeN/wAI60ksRPDo2M0XC5Lc+Bfi9cwiGdrp4x0Bk/8ArU7juXfDPwD1
S/uPP8VXhtMnLbj1/E0riud7q/iTwl8JtHe00ZYZdT24yuDuNAHzF4u8S3/ijVpb7UZWZmJK
oTwo9BTGYdABQAUAFABQAUAfQX7KsnlWvi92ne2QWgzcIu5o/cUAN+Jlw83g1r6ymbWVhlUj
VLldksDAghVB7UAReC7m28feH7vWNfskuL/w3D58kpHN2vOFagDyXxr4qvfFeqm6vDthTKwQ
jpEnZRQBz1ABQAUAFABQAUAFAH6VfCf/AJJZ4N/7Atl/6ISgD5G+P/wx8VD4m6vf6Zomqapa
6jM1ykllZyTKgP8ACSoIzQB5z/wrjxx/0JviT/wVz/8AxNAGjo/hP4kaPcLLYeF/FMRU5wNN
uMfltoA9Cs/FvxrtIVii8NeItoGOdJn/APiaLCsT/wDCb/G//oWvEP8A4KZ//iaVh2MfX9X+
MmtwNFd+G/EgUjHyaVOP/ZaYHBXHgDx7cyGS48JeKJXPd9MnJ/8AQaAIv+FceOP+hN8Sf+Cu
f/4mgA/4Vx44/wChN8Sf+Cuf/wCJoAP+FceOP+hN8Sf+Cuf/AOJoAP8AhXHjj/oTfEn/AIK5
/wD4mgA/4Vx44/6E3xJ/4K5//iaAD/hXHjj/AKE3xJ/4K5//AImgA/4Vx44/6E3xJ/4K5/8A
4mgDrfh/bfFDwLPdSaL4P1//AElNkqy6TOwYfTbQA3xvZ/E7xfNG1/4O8QQxou3ybfSZ0Q+5
G3k0AVvDWj/Ezw7pmqWGm+EfESwajH5U4OlTnI/75oA53/hXHjj/AKE3xJ/4K5//AImgA/4V
x44/6E3xJ/4K5/8A4mgA/wCFceOP+hN8Sf8Agrn/APiaAD/hXHjj/oTfEn/grn/+JoAP+Fce
OP8AoTfEn/grn/8AiaAD/hXHjj/oTfEn/grn/wDiaAD/AIVx44/6E3xJ/wCCuf8A+JoA1vCv
wh8Z67rltp8/h7WdNjlODc3dhLHEn1YqAKAPvrwXpUmheDtC0id1ebT7CC0d16M0caqSPyoA
/9k=
Abstract
The countries of Latin America are experiencing a complex epidemiological situation, as
two epidemics Dengue and COVID-19 coexist in them. A study was carried out with the
objective
of
analyzing
the
coinfection
of
dengue
and
COVID-19,
its
clinical
epidemiological behavior in Latin America. A narrative, documentary and informative
methodology was used. An exhaustive and complete search of updated information of the
last five years on the subject was carried out, a total of 58 articles were consulted, of
which 14 articles were selected for the investigation that address the subject to be
investigated. Studies on the adult population prevailed (78.6 %) in relation to the pediatric
population and in pregnant women, there is also limited bibliography on the presentation
of cases with coinfection by dengue and COVID-19. The epidemiological behavior of
both epidemics was characterized by a high incidence rate, but not in terms of the fatality
rate, which was low in Dengue and high in COVID-19. Both presented a similar clinical
behavior, the non-severe form of it predominated, however, COVID-19 presents a high
percentage of the severe form, highlighting the asymptomatic presentation in both
diseases in a variable percentage and a delayed diagnosis is reported in cases with
coinfection by Dengue and COVID-19.
Keywords: Dengue, COVID-19, coinfection, Latin America, epidemic
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 873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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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Introducciòn
El Dengue es una de las enfermedades infecciosas reemergentes más importante en el
mundo, la infección por virus dengue constituye una de las arbovirosis más significativas
y de más amplia distribución en las regiones tropicales y subtropicales del planeta. En las
últimas décadas, esta infección viral ha mostrado un dramático incremento en su
incidencia en las regiones tropicales de América Latina, el Caribe y Asia, con una
estimación de hasta 390 millones de infecciones por año (1).
La
Organización
Mundial
de
la
Salud
(OMS)
consideró
al
dengue
entre
las
10
enfermedades de mayor importancia a nivel mundial y en las últimas décadas se ha
incrementado el número de enfermos por esa causa, dado el incremento de los mosquitos
y las condiciones para su proliferación, así como el constante movimiento de la población
(1).
Las Américas registra el más drástico incremento en la actividad del dengue en las últimas
décadas, sostenible en los últimos 25 años, con brotes epidémicos que se repiten de
manera cíclica especialmente en Brasil, Colombia, Cuba, Ecuador, Perú, Venezuela y
Paraguay. La situación epidemiológica del dengue es de alta complejidad, lo que obliga
a redoblar los esfuerzos para la implementación de una estrategia de gestión integrada
(2).
El nuevo coronavirus SARS-CoV-2 se ha convertido en una pandemia que desde entonces
avanza a pasos agigantados afectando a más de 180 países. La COVID-19, por su impacto
biopsicosocial, centra la atención de los gobiernos y del personal de salud, sin embargo,
autoridades internacionales advierten de la asociación letal de esta enfermedad y el
dengue. Desde la llegada del SARS-CoV-2, la atención de los especialistas y la población
se ha centrado en la COVID-19, no obstante, es importante recordar que aparejado a ese
virus coexiste otra amenaza también preocupante: el dengue. En los países y regiones
endémicas de dengue inciden ambas enfermedades, lo que hace posible que se produzcan
coinfecciones. Ambos padecimientos presentan similitudes y diferencias clínicas que
hacen complejo el diagnóstico diferencial entre uno y otro, trayendo como consecuencia
una evolución tórpida de la enfermedad y un desenlace fatal si no se realiza un diagnóstico
y tratamiento adecuado (6,7).
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 874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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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Actualmente es un desafío diagnosticar y enfrentar simultáneamente la infección por
dengue y el virus SARS CoV-2, solo se realizará si se amplían y actualizan los
conocimientos sobre estas epidemias. Todo lo anterior justifica la realización del presente
trabajo que tiene como objetivo realizar una sistematización de la bibliografía nacional e
internacional actualizada sobre la prevalencia de dengue y COVID-19 en la región, en
relación
con
el
criterio
epidemiológico,
la
sucesión
de
la
presentación
de
las
manifestaciones clínicas y los principales resultados de laboratorio, el cual contribuirá a
un mejor conocimiento sobre el comportamiento clínico-epidemiológico y humoral de
estas infecciones virales, premisa para el diagnóstico positivo y diferencial de ambas y el
tratamiento adecuado y oportuno de los pacientes afectados. De ahí el alcance de la
presente investigación, dirigido a los profesionales de la salud y de todos los trabajadores
de la salud pública (5).
Materiales y métodos
Diseño y tipo de estudio
Narrativa, documental e informativa.
Estrategias de búsqueda
Para la presente investigación se realizó una exhaustiva y completa búsqueda de
información actualizada
de
los
últimos
cinco
años
sobre
el
tema
a
investigar,
la
información científica fue consultada en revistas electrónicas de alto impacto y en
plataformas de contenido científico acorde con el campo de la salud como: OVID,
SciELO, Lilacs, Dialnet, Google Académico, Redalyc. Para poder clasificar y analizar la
información se utilizaron estrategias de búsqueda de información como términos MeSH
“coinfección,
Dengue,
COVID-19,
comportamiento,
clínica,
epidemiológica”,
y
se
descartó el uso del término “or” en los idiomas, inglés y español delimitándonos a usar
información publicada en los últimos cinco años.
Las
referencias
bibliográficas
de
cada
uno
de
los
artículos
fueron
seleccionadas
manualmente considerando las más relevantes, se emplearon los siguientes criterios de
selección:
Criterios de inclusión.
Se incluyó toda investigación publicada a nivel mundial en los últimos cinco años en
español e inglés, incluyendo artículos de investigaciones sobre prevalencia de Dengue y
COVID- 19 en el mundo y en las Américas.
Criterios de exclusión.
Se excluyeron los artículos referenciales sobre estudios de intervención en poblaciones
con
ensayos
clínicos
de
candidatos
vacunales
que
no
hicieran
referencia
al
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 875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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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comportamiento clínico y diagnóstico de ambas enfermedades, o estudios que no tuvieron
resultados confiables y de poca relevancia epidemiológica.
Manejo de la información
La investigación fue realizada por dos investigadores independientes, para lo cual
se distribuyó la lectura de los artículos prestando especial cuidado a los títulos y los
abstracts. Se seleccionó este problema de salud basándose en la importancia de conocer
el
comportamiento
de
ambas
epidemias
en
la
región
y
los
criterios
clínicos
y
epidemiológicos
que
permitan
establecer
el
diagnóstico
diferencial
entre
ellas,
permitiendo
un
diagnóstico
y
tratamiento
precoz
y
adecuado,
previniendo
las
complicaciones y los altos índices de letalidad de estas infecciones. Posterior a esto, cada
investigador procedió a realizar la lectura completa del mismo con el fin de seleccionar
los de relevancia científica, para esto se elaboró una ficha bibliográfica de cada artículo,
para luego realizar el registro de esta información en una base de datos establecida
previamente por los investigadores en un formato de registro de datos en Microsoft Excel
2010
®.
La base de datos consta del título del artículo, autores, año, región y país, población y
muestra, prevalencia de dengue y/o Covid- 19, síntomas y signos clínicos predominantes,
principales estudios de laboratorio y sus resultados, comportamiento epidemiológico y
link del articulo seleccionado, finalmente se realizó la síntesis de la información que se
incluiría en la revisión, las diferencias de criterios de selección se resolvieron mediante
el conceso y discusión de la información.
Consideraciones éticas.
La investigación se apega y respeta los aspectos éticos de toda investigación, el presente
trabajo
fue
citado
de
acuerdo
a
las
normas
Vancouver,
por
lo
cual
protege
la
propiedad intelectual
de
los
diferentes
autores
consultados,
respecto
a
la
teoría
y
conocimientos científico universal se citaron apropiadamente y se referenció cada una de
las fuentes bibliográficas en donde se encuentra publicada la información original.
Resultados
Tabla 1. Coinfección del dengue y covid-19 en la población de América Latina.
Ref.
Año de la
publicación
Estudio
población/casos
coinfección
dengue /Covid-
19
Región Más
Afectada
%
Región o País
Norte América
(2)
México
(2022)
Caracterización clínica
epidemiológica de la
coinfección por SARS-
COV-2 y Dengue
6
Población
Mexicana
75%
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 876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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX
FBYWGh0lHxobIxwWFiAsICMmJykqKRkfLTAtKDAlKCko/9sAQwEHBwcKCAoTCgoTKBoWGigo
KCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgo/8AAEQgA
SADKAwERAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIB
AwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYX
GBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeI
iYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn
6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIB
AgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDTh
JfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWG
h4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm
5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A19YTxX4w+Juvs3iTVtK0HTbl7NItPvZIN208
EhWHPvSbE2aKeCdQb/mfPF//AINrj/4ui4XLMXgDUHBP/CeeL8Dqf7WuP/i6LhcqzeGbS2bb
dfFDxNC3o2szj/2egLkf9g6X/wBFX8R/+Dmf/wCLoC5atvBpvf8Ajw+JHiq4/wBzWJz/AOz0
XC4svgPUEOD478Xg/wDYWuP/AIui4XKz+C9RX/mfPF//AINrj/4ulcVyBvCGpD/me/F3/g2u
P/i6LhcjPhTUh/zPfi7/AMG1x/8AF0XC43/hFtS/6Hvxd/4Nrj/4ui4XD/hFtS/6Hvxd/wCD
a4/+LouFw/4RbUv+h78Xf+Da4/8Ai6LhcP8AhFtS/wCh78Xf+Da4/wDi6LhcUeFdTwT/AMJ3
4uwOp/ta4/8Ai6LhcoTWEVu5S4+J3iWNx1VtYnz/AOh0XYXYsGnx3LhLb4m+JZXP8K6xP/8A
F0XYXZePhTUwAf8AhO/F2D0/4m1x/wDF0XC4n/CLal/0Pfi7/wAG1x/8XRcLh/wi2pf9D34u
/wDBtcf/ABdFwuH/AAi2pf8AQ9+Lv/Btcf8AxdFwuH/CLal/0Pfi7/wbXH/xdFwuH/CLal/0
Pfi7/wAG1x/8XRcLh/wi2pf9D34u/wDBtcf/ABdFwuc/4vPi7wMsHiPRfFet6ja2fM9vqGoT
Sxv9VZiDTTGmfS3gbVJtc8FeH9WuwouL/T7e6kC9Azxqxx7ZNMZ5P4WXd4n8c/8AYXl/nSZL
OmnmttPspby+kWK3jGSxOKQHzn8RfjTqWq3smmeFFeJN2wSRjJemMzND+DvjvxcBe6is8cb8
qzk8/hTGdNf/ALMmtwWiyW2oGWU9U9KAOL1Pw58Rfhm32orcx2qNw4JYEUAer/C74y2fiAx6
broW3vT8quf4zSsKx6xcQ45GCDyCKQjPmTrQBUcYoAiNACUAFAASFVnc4RRlj6CgDxjxb401
nxP4k/4RzwUrFt2xpV/WmkNI6VvgXpHh7Rv7d+IXiCSNWIEmWI2se1MYknwIsNY0ZfEHw816
SVOTEAxIcjtQBh+EvGOteG/EC+HPG8TRzMcRyt3pNCaPYOMAg5DDIPtSEJQAUAFABQAUAcf8
Yv8Akmuq/wC7QgR7l8J/+SWeDf8AsC2X/ohKoo4DwZGH8T+OMnA/tiXJ9OaTEzxD9oTxvc6r
ra+G9Id9kZ2SbD980Aevfs+/Byx8PaRBrGtwJPqc6hgrjIQUxnvKIsaBUUKo4AA4FAC0AV9Q
sbXULZre9gjnhYYKuuRQB8a/tCfCWXwXqK+IvDoYWDybiq9Y2/woA9J+B3jNfF3hYQXL/wCm
Wg2vnq1JiZ29wmCaQjPlHNAFdqAG0AFAHIfFrVptF8EXNzbHEr/ux+NCBHSfsveBrPTfCcGv
XUQbU7pi5cjkCqKNT9ojxL4OtdGi0PxmlxJFcMJVWD7wx34oAt/s++JfCeoeHDo/g5Z0trMl
ik33ue5oA5n9q/whBe+GY/EVqm3UbJwdw7rQBl/DLVZda8E2V5ccy42H8Kkk6agAoAKACgAo
A4/4xf8AJNdV/wB2hAj3L4T/APJLPBv/AGBbL/0QlUUeb6RKbc/E24X70WozsPzpMTPBvgLo
/wDwmHxYF/fDzIopS7qec80xn0J8ffiunw+sYdO0xA2pSqAqj+BfWgDxmLx98WrXTYPEE0M0
mkuwIwpORQB3PjP4+32meD7X/QDb61cqP3Z6getAHDx/ED4sabZ22vXkE0ulSMCoCk5FAH0P
DcyeP/hVcS6nY+RNcW7YjYcg460AfLHwKkuNB+Kz6IxOxnZW/CgD6jv02zOPQ1JJlTDmgCo/
WgBlABQBwPx1R3+HzmNSxSUMQPShAj2H9nzVYNV+GWmSQMuUGxlHYjFUUeP/ALZXhW8uJLLx
HHzaW6eQ/sSaAND9jfwreWFhfa/OMW16gjj98GgD0L9pfVYdL+GV75pXfMdiKepJoA81+C8b
x/DqyEilWZi2D71LJZ2tABQAUAFABQBx/wAYv+Sa6r/u0IEe5fCf/klng3/sC2X/AKISqKPM
7L/jz+Kn/X/cfzpMTPL/ANj27hh8V6jBIB5sh+WmMi/a6tprX4mafqU0TNZ+UgzjgkYyKAPZ
dH+Kfg3S/hjp11eXFtKixqptBgsD9DQB88/HzWLXXPGem+I9PtmTSGjjUDbgZHWgD6Jsvil4
M0n4a6dc3txbXCLGqm0GGYH6GgDvPDHiPTvEPhH+1NMj8uyaMkLjGOKAPkLwLKk37R0skX3D
O+MfhQB9Pal/r5PqakkyJqAKb9aAGUAFAFXVbCHVNOns7hQySoVGfWgDx7wL4t1b4M+LprDU
0eTQp5M5/hAJ7VRR7l8TptK+LPw7Om+H9bs4riZ0lCyOOMdjQBN4C1HR/hR8NrfTNe1m0mub
TczLG4yc9hQB4L4w8Tar8Z/GkENpG8ehWz5GfukA0Az2ewtIrCxhtbdQscagYFSSTUAFABQA
UAFAHH/GL/kmuq/7tCBHuXwn/wCSWeDf+wLZf+iEqijz3wxb/bNT+IdoRkT6pMn5mkxM+c9A
1B/hj8aA84ZLWOf5h2Kk0xn2N4l8M6F8R/DUJvYo5opUDxyDkrmgDy20/Zi8Pw3yTyXs0kat
nyznBoA9J8Q/C7w7rPhhNFa0SOGMDYwHIPrQB5rYfsw6Bb3kc0t9NKitkxnODQB2XxS1rR/h
n8Np7W0VIPMjMMMYPO4jGcUAfPH7NWh3Gq+JrrxBOpPksTvPcmkJn0helmdjg8n0pCMuYN/d
P5UAVnVv7p/KgBmxv7p/KgA2N/dP5UAG1v7p/KgDO13QrDXbQ2+p2omX+EkdKAPNpfgmsd40
+l6xPZqTkIpPFO47joPgrG98tzqurT3oByVYnmi4XPSdG0Sx0S1FvplqIU74HWkIv7W/un8q
ADY390/lQAbG/un8qADY390/lQAbG/un8qADY390/lQBx3xjVh8NdVyD09KECPcfhP8A8ks8
G/8AYFsv/RCVRR8v6v8AFG88F/GTxXYOA2lyanIzgdQSetIVjpPix4Ps/iN4ai8QeHCj3Uab
iF6txQgON+DXxm1DwFc/2H4kSWSxRtuG+9H/APWpjPrLw/468Pa7Zxz2Wp253jOwvyKANyfU
bOCISTXUKIejFhigDz74g/GPwz4Rs3f7XHeXODiKFskHtmgD5I1vVvEfxm8aINsrWxfCov3Y
1oA9x1nV9J+D3gqGwiKPqJTovVjiluI8Tm+Ovi15GKywhSeBt6CiwWIG+Nviw9Zof++aLBYZ
/wALq8V/89of++aLBYP+F0+Kv+e0P/fNFgsH/C6fFX/PaH/vmiwWD/hdPir/AJ7Q/wDfNFgs
aOi/Ezx9rkrxaRbm7kQZZYo92KLBYdq3xJ+IGj3sVpqlsbW5lx5cckeC2TgYosFitqfxY8ba
Xdta6iq29woBMciYIB6UWCw/Ufip4501YG1CMW4nTfEXjxvX1FFgsUv+F0+Kv+e0P/fNFgsH
/C6fFX/PaH/vmiwWD/hdPir/AJ7Q/wDfNFgsH/C6fFX/AD2h/wC+aLBYP+F0+Kv+e0P/AHzR
YLB/wunxV/z2h/75osFjP8QfFPxDr2jz6bfSxm2m4YBeaLBY+7fhP/ySzwb/ANgWy/8ARCUx
nwh8df8AksHi7/sISfzoAvfCX4l3vgzUEimcy6c5wyHkKKAse4634Q8HfFXTRqGk3MNpdsNz
OCASfpSEeX3fwY8baNeN/wAI60ksRPDo2M0XC5Lc+Bfi9cwiGdrp4x0Bk/8ArU7juXfDPwD1
S/uPP8VXhtMnLbj1/E0riud7q/iTwl8JtHe00ZYZdT24yuDuNAHzF4u8S3/ijVpb7UZWZmJK
oTwo9BTGYdABQAUAFABQAUAfQX7KsnlWvi92ne2QWgzcIu5o/cUAN+Jlw83g1r6ymbWVhlUj
VLldksDAghVB7UAReC7m28feH7vWNfskuL/w3D58kpHN2vOFagDyXxr4qvfFeqm6vDthTKwQ
jpEnZRQBz1ABQAUAFABQAUAFAH6VfCf/AJJZ4N/7Atl/6ISgD5G+P/wx8VD4m6vf6Zomqapa
6jM1ykllZyTKgP8ACSoIzQB5z/wrjxx/0JviT/wVz/8AxNAGjo/hP4kaPcLLYeF/FMRU5wNN
uMfltoA9Cs/FvxrtIVii8NeItoGOdJn/APiaLCsT/wDCb/G//oWvEP8A4KZ//iaVh2MfX9X+
MmtwNFd+G/EgUjHyaVOP/ZaYHBXHgDx7cyGS48JeKJXPd9MnJ/8AQaAIv+FceOP+hN8Sf+Cu
f/4mgA/4Vx44/wChN8Sf+Cuf/wCJoAP+FceOP+hN8Sf+Cuf/AOJoAP8AhXHjj/oTfEn/AIK5
/wD4mgA/4Vx44/6E3xJ/4K5//iaAD/hXHjj/AKE3xJ/4K5//AImgA/4Vx44/6E3xJ/4K5/8A
4mgDrfh/bfFDwLPdSaL4P1//AElNkqy6TOwYfTbQA3xvZ/E7xfNG1/4O8QQxou3ybfSZ0Q+5
G3k0AVvDWj/Ezw7pmqWGm+EfESwajH5U4OlTnI/75oA53/hXHjj/AKE3xJ/4K5//AImgA/4V
x44/6E3xJ/4K5/8A4mgA/wCFceOP+hN8Sf8Agrn/APiaAD/hXHjj/oTfEn/grn/+JoAP+Fce
OP8AoTfEn/grn/8AiaAD/hXHjj/oTfEn/grn/wDiaAD/AIVx44/6E3xJ/wCCuf8A+JoA1vCv
wh8Z67rltp8/h7WdNjlODc3dhLHEn1YqAKAPvrwXpUmheDtC0id1ebT7CC0d16M0caqSPyoA
/9k=
(63)
México
(2021)
Reporte de caso:
manifestaciones
extrapulmonares de
coinfección por Covid-19 y
Dengue
1
Población
Mexicana
13%
(21)
México
(2021)
Coinfección de un paciente
pediátrico con SARS-COV-
2 agudo con MIS-C y
DENV-2
1
Población
Mexicana
12%
Región o País
Sur América
(16)
Argentina
(2020
Característica de los
pacientes coinfectados
SARS-CoV-2/DENV
13
población de
Buenos Aires
1%
(66)
Brasil
(2021)
SARS-CoV-2/DENV Co-
infection: a Series of Cases
from the Federal District
Midwestern Brazil
13
Medio Oeste de
Brasil
1%
(67)
Perú (2021)
Coinfección de la SARS-
CoV 2 y Virus del Dengue:
Reporte de Caso
1
Zona Norte de
Perú
0,16%
(68)
Brasil
(2021)
Revious Dengue Infection
and Mortality in
Coronavirus Disease 2019
(COVID-19)
1177
Cuenca de la
Amazonia
90%
(70)
Argentina
(2021)
Modelo matemático de
coinfección de dengue y
COVID-19: una primera
aproximación
13
población de
Argentina
1%
(69)
Ecuador
(2020)
Dengue, COVID-19 y gota,
una asociación infrecuente
1
Zona Endémica
0,16%
(61)
Brasil
(2020)
Parámetros clínico y
bioquímicos de pacientes
con Covid-19 con dengue
previo o activo
43
Zona Sur -
Oeste
3%
(10)
Perú (2020)
Características de los
pacientes coinfectados
SARS-CoV-2/DENV
50
Chiclayo
4%
(20)
Brasil
(2020)
Coinfección por SARS-
CoV-2 y virus del Dengue
en un entorno de doble
circulación viral
1
Noreste
0,17%
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 877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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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Análisis e interpretación
Como se puede observar en la tabla y figura 1, describe la distribución entre Norte
América y sur América, y por ende de los diferentes estudios por región y país, dando
como resultado la presencia de coinfección de Dengue y COVID-19 en diferentes países
de América latina, haciendo énfasis muchos de ellos, en las zonas más afectadas, como
son las zonas endémicas de la región y otras. Por otro lado, podemos analizar que por
parte de Norte América en México (2022) tiene un porcentaje que denota con un 75%. Y
Sur América con un porcentaje del 90 % en el País de Brasil (2021).
Tabla 2. Epidemiología del Dengue y COVID- 19 en países de América Latina
Ref. Autores Estudio Tipo de Tasa de incidencia Tasa de letalidad
población Dengue/COVID-19 Dengue/COVID-19
X cada 100 000 habitantes
2 Castañeda Gómez
COVID-19 y su impacto en el Adulta Elevada/Elevada Baja/ Elevada
y col. control del mosquito Aedes
aegypti y la vigilancia
epidemiológica de infecciones
por arbovirus
63 Óscar Sosa
Hernández Cocirculación de COVID-19 Adulta Elevada/Elevada
Baja/Elevada
y dengue: un reto para el
sistema de salud
21
Díaz Trujillo y col.
Reflexión sobre la infección Pediátrica Elevada período Baja/ Baja
por dengue durante la pandemia lluvioso/ baja
de la COVID-19
65 Osvaldo Aguilera Dengue y COVID-19: Una Adulta En América L. Baja/ elevada más
Y col. aleación amenazadora para las muy superior al en pacientes
Américas 2019/ Elevada vulnerables
13 Eric Martínez Torres Dengue y COVID-19: Pediátrica Elevada/Baja Baja/Baja
semejanzas y
diferencias
16
Jaime
A. Cardona Dengue y COVID-19, Adulta Elevada/Elevada
Baja 0,05/Baja 3,86
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 878
/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX
FBYWGh0lHxobIxwWFiAsICMmJykqKRkfLTAtKDAlKCko/9sAQwEHBwcKCAoTCgoTKBoWGigo
KCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgo/8AAEQgA
VwBYAwERAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIB
AwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYX
GBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeI
iYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn
6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIB
AgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDTh
JfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWG
h4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm
5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A7P4+fF7WPh7rdpaaZZJNDLHvZ3XgH0oAf8Ef
jlF41ujputIkGqSN+5SMcMKAPc6APNPjN8ULP4f6S4DK2qyLugibo1AHlnws+P8Ar/i3xpYa
TdafCtvO2GeNfu0AfT1ABQAUAFABQAUAeR/tN6daz/DDUrlrNZrtAAjhcsvWgD4t8B+IrzwX
4qs9YgtyZ4T8quMZzQB+i3hnVv7V8M2OpStGrzwiRsEYUkUAfCvx98aXnjPxpNDPAoFg7QR+
WM7hQB7N+xrplu2kanPdWWLqOUbJZEwQPagD6cGaWoBTAKADvUu9wCqAKAOb+ILXqeGLltNs
4by5/hil+6aAPj74z+GvFWpwLrl/pFpY21qu0pb4yffAoATwZ8SI9N+D+uaRd6nMuryEi2Bb
lR6UAc98JfDniPU9a/t/TbOK8+zv863J4kJ+vWgD7G+E02qtp902t6Xaaawb5RBjBHvQBy3j
/wCNlro2rfYdGCXDRErKzdAa5K2J5NEfQZdkksTHmqaIxtB+Ppl1SCPVoI4rRjh3XqKini+Z
2Z14vh32UHKm7s9602/t9SsobuzkEkMq7lIPau1O+qPlpwcHyyLNMkKACgDkfip9k/4Q27/t
C9msbfjdNF95aAPG/hxZeFb7xNFAPEN/qgZGzbXGSjfXNAHknxC8OeEYPi0LS2e5XS5Jv9JK
ocRnuBQB7V8QtJ8I6VpujRward6PCYht+zAjzeOpxQBNoU9rbfDDXJPDusXmouM/vJc7l+lZ
Vm1BtHdlsIzxEYy2PH/AGhDxJ4tWyvklVZ3+aRgeK8qEHUlZn3+JxMcFQ54dDovjN4DtfBzW
0dh5k4lGScZxV1qHsnoc2WZq8fF+0Vj1D9ma6up9EvEuGlMcZAjV88D2rswkm46nznEFKEKq
cD2uus+eCgAoA5r4ifav+EXufsFjFfz/AMMEv3WoA8y+Hg8Qf8JLF9v8KafYwbTmaIDcPagD
O19/FS6/eLb+CrGaEzfLIyjc49aAOh+IY1z7HpX2Hw1ZXr+V+8SUD92cdBQBb8FHWU8Jakbz
QLOyuMnZBHja/wBamWxrQ0mtbFXwXNrcniCNbzQbO2hz/rI8ZrGK12PSrzXJ8TZufFF9TjaD
+zdLt74Y5MuOKqovIwwckvtWPOtf8b+NPBmjNqFp4etksUGZigBAp01YnGSUnvc4df2qNa/i
0uD8MVozhNnwr+0/Lea7awa1YpbWLnEkoI4qOR9xn09pWo2uqWEN5YyrLBKodWB7GtBHn/7Q
+oXWmfC/U7nTro210mNrqcHv0oA+Vfg58TdTsPH2nz+JNbun0xT+8WRsg9KAPsSfRm13X9K8
S2eqzJZRRhhAv3ZB70AfNv7TXxLlm8TW1t4V1eeEWylLhYmx81AHT/s7a3fa38Ptfk8QaxMV
RiFkZsuo9qmWxrQvzqyOm+HQ0r/hJYza+Iby7kUk+VJnBrGFr7np4nm5NYnS+Nf7O8Xw3E1j
rc1ounZWfyz3qqlmrnNhXKEuW17nHeI2tYvgj4gj03U5tUAU53ckU6TTWgY+MlL3lY8Z+A/w
hs/iJY6hPqNzNam2YKMAjPStTgLfxm+A9z4NsI9R0SR7ywRSZ3b+CgD0j9jPU72+0vWIry5k
mihKrErHOwccUAT/ALTfg/xl4p1i0j8OpLNpvlYljU4Bb3oA8JT4GeO9650lgM+v/wBagD7m
8G2M9h4M02yuV2zxWwjZfQ4oA+MvGvwX8a33ivVbq10svBNOzo2eoP4UAafw7+HXxE8MazFK
2nv9gzmWBm+R/qMVMtjeg0panvHgpdVbXiLnw3a2UTKR5qAZFZxvfY7K/IoaSucd4YnvvCHx
L1HQdVs0lsdZkLKTzx2rO7jLlfU6XTjVoqrB2cTrtE8Nah4b0zxIYNPhuBK5MFux+VhWlOHK
2cmNxCrRj3PNvGviTxzpng+/jtNBtdHtmwZZoCARj6VsecZvxI+NVpN8MbDw/pMv2ue5txFe
SOcsp/8A10Ab/wCxOpGn66SMfMvXv0oA+n6ACgAoAKAOc+IcWpT+E76PRGZb5l+Qr1qKl+XQ
6MM4KoufY+cfhR4n1wfEUadrGoznaWUxynjNclKcuazPoMZh6To81NFjTr+41L46sNUuCfJl
ZYA54HTGKzU26up21MPCGX3juenzW2p22i+JW8RahJa2TtmG4jOSg9q9CNz5Gq4tJRPAvHo0
UeF7r7H40vL+c4AtnJ+f8KowMu4+D9rBf+Ebd7/A1pQXJOPLzQB9leCPCWmeEdGgsNLhRNiB
XkAwXPqaAOhoAKACgAoAKAPPPF/wv03XNVi1Kzf7DeLnc8Y+9WM6Slqj0MNmEqKcXqjnPib8
J/7R0+31DRJWi1ezXIdeDIcVFSjpeO514PMn7Tlq/Czh/hZ4s1ptePhPxVbvfWlwxR/NGcEV
GHlJO0jpzahRnFVKRieJtGtH+PGiWF5oUFnpqy7Y1TpKvqa7D5ss/tgyHR9R8OHS2Ns8SnZ5
fG3r0oA+hPhVcz3fw/0We7kMs7wAs56k0AdZQAUAFABQAUAFABQBz2sweH9Aim1vULeCARfM
8+3ke9LlW5o6s2uVvQ+ZJ7/TdS+POh3ukay2qQzS7whbPle1MzZ6N+1N4Fh1/wANf281wY5N
NThP7wNAHW/AXxNpmueA9OttOnEk9nCEmX+6aAPSaACgAoAKACgAoAKAOd+IHhiLxh4VvdEu
JDFHcrgsO1AHkvgb9nWx8K+J7LWI9Vkme2bcEI60Aeu+OvDkfizwxeaNNKYo7ldpcdqAOV+D
nwut/htBfRW161yLogncOmKAP//Z
/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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Kovy Arteaga Livias ¿epidemias superpuestas? Un 55 585/28 240
análisis desde Colombia
66 Espíndola LS. SARS-CoV-2/DENV Adulta y Baja incidencia de Baja/Baja
Co-infection: a Series of Cases embarazadas coinfection dengue/
from the Federal District Covid-19
Midwestern Brazil
67
Moreno Soto y col.
Coinfección de la SARS-CoV 2 Adulta 13.48/370 Baja/Elevada
y Virus del Dengue: Reporte de
Caso
68 Odilson M Silvestre
Revious Dengue Infection and Adulta Elevada/ Baja Baja/ Baja en
Y col. Mortality in Coronavirus en zonas casos con dengue
Disease 2019 (COVID-19) endémicas de previo
(1.6%)
Dengue
70 Paula Berguero Modelo matemático de Adulta 321,58/elevada Baja (0,049%)/
coinfección de dengue y elevada
COVID-19: una primera
aproximación
20 Navarro JC y col. COVID-19 and dengue, Adulta Elevada/Elevada Baja/Elevada
co-epidemics in Ecuador
and other countries in Latin
America: Pushing strained
health care systems over the
edge
69 Jorge Luis Valdés Dengue, COVID-19 y gota, Adulta Elevada/Elevada Baja/Elevada
Y col. una asociación infrecuente
61
Azevedo LC. COVID-19 and dengue fever, Adulta Elevada/Elevada Baja/Elevada
a dangerous combination for
the health system in Brazil
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 879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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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10 Saavedra Velasco M. Coinfección entre dengue y Adulta
4.054/635 Baja/baja
Y col. COVID-19: Necesidad de
10/12
abordaje en zonas endémicas.
Análisis e interpretación
En la tabla 2 se describe la distribución de los diferentes estudios por tipo de población,
se utilizaron autores que han estudiado el comportamiento epidemiológico de las
epidemias de dengue y COVID-19 en los diferentes países de América Latina, se tomaron
como indicadores de este comportamiento las tasas de incidencia y de letalidad, las que
se expresan por cada 100.000 habitantes. Como se muestra en la Tabla 2, cada autor es
citado y atestiguado por sus artículos de PI, en los que tienen datos muy importantes de
diferentes países que contribuyeron a nuestra investigación en curso.
Tabla 3. Comportamiento clínico del Dengue y COVID-19 en los distintos países de
América Latina
Año / ref
publicación
País
Tipo de
población
Comportamiento Clínico
Dengue
COVID-19
2021(78)
México
Adulta
Sangrado gastrointestinal
dolor abdominal
Disnea
2020 (73)
México
Adulta
Fiebre, dolor retroocular,
vomito
Fiebre, Anosmia,
Ageusia
2022(75)
México
Pediatrica
Derrame, pericárdico,
shock séptico, HLH,
petequias
Neumonía
2020 (80)
Argentina
Adulta
Fiebre, Neumonía
Fiebre, Neumonía
2021 (74)
Brasil
Adulta
Mialgia, Fiebre
Mialgia, Fiebre
2021 (76)
Perú
Adulta
Fiebre, Dolor
Tos, Disminución
2021(77)
Brasil
Adulta,
Embarazada
Fiebre, cefalea, Vomito
Disnea
2021(84)
Argentina
Adulta
Malestar general muscular
Malestar general
2021(89)
Ecuador
Adulta
Cuadro febril, Mialgias
Tos seca, Dolor en la
región dorsal
2020 (81)
Brasil
Adulta
Fiebre, tos, dolor de
garganta
Diarrea, Vómitos
2020 (85)
Perú
Adulta
Fiebre y erupción Cutánea
Artralgia Escalofríos
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 880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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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Análisis e interpretación
En la tabla 3 describe la distribución de los diferentes estudios, según el año de
publicación, la población estudiada, país y el comportamiento clínico de las epidemias de
dengue, de la COVID-19 y de la coinfección de ambas enfermedades en los diferentes
países
de
América
Latina,
se
tomó
como
indicador,
el
comportamiento
clínico
predominante de la enfermedad y el diagnóstico de la coinfección. Como se observa en
la tabla los tres primeros artículos, publicados en México en el año 2021, en la población
adulta,
señalan
un
predominio
de
fiebre
y
disnea
con
una
similitud
en
ambas
enfermedades.
Discusión
El contexto epidemiológico mundial se encuentra dominado en estos momentos por la
pandemia de Covid-19 causada por la infección de coronavirus SARSCoV-2. Esta
enfermedad ha presentado una rápida propagación y afecta a cualquier persona sin
distinguir edad, sexo o raza. Mientras la preocupación del mundo está concentrada en la
pandemia del coronavirus, América Latina es víctima de la epidemia de dengue más grave
de los últimos años (1).
El contexto en Sudamérica no es ajeno a dicha realidad, donde los países de Brasil, Chile,
Ecuador, Argentina y Perú han reportado el mayor número de casos de Covid-19,
llegando a superar los 8000 casos a la fecha (11). El primer país de Latinoamérica
afectado por COVID-19 fue Brasil, mientras que la primera muerte se registró en
Argentina. En el momento, Brasil es el país latinoamericano con el mayor número de
casos, con cerca de 1.370.488 y 58.385 muertes. (71).
Los artículos analizados en los diferentes países de la región, permiten establecer que la
coinfección del dengue y Covid-19 se ha convertido en uno de los principales problemas
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 881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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX
FBYWGh0lHxobIxwWFiAsICMmJykqKRkfLTAtKDAlKCko/9sAQwEHBwcKCAoTCgoTKBoWGigo
KCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgo/8AAEQgA
SADKAwERAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIB
AwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYX
GBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeI
iYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn
6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIB
AgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDTh
JfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWG
h4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm
5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A19YTxX4w+Juvs3iTVtK0HTbl7NItPvZIN208
EhWHPvSbE2aKeCdQb/mfPF//AINrj/4ui4XLMXgDUHBP/CeeL8Dqf7WuP/i6LhcqzeGbS2bb
dfFDxNC3o2szj/2egLkf9g6X/wBFX8R/+Dmf/wCLoC5atvBpvf8Ajw+JHiq4/wBzWJz/AOz0
XC4svgPUEOD478Xg/wDYWuP/AIui4XKz+C9RX/mfPF//AINrj/4ulcVyBvCGpD/me/F3/g2u
P/i6LhcjPhTUh/zPfi7/AMG1x/8AF0XC43/hFtS/6Hvxd/4Nrj/4ui4XD/hFtS/6Hvxd/wCD
a4/+LouFw/4RbUv+h78Xf+Da4/8Ai6LhcP8AhFtS/wCh78Xf+Da4/wDi6LhcUeFdTwT/AMJ3
4uwOp/ta4/8Ai6LhcoTWEVu5S4+J3iWNx1VtYnz/AOh0XYXYsGnx3LhLb4m+JZXP8K6xP/8A
F0XYXZePhTUwAf8AhO/F2D0/4m1x/wDF0XC4n/CLal/0Pfi7/wAG1x/8XRcLh/wi2pf9D34u
/wDBtcf/ABdFwuH/AAi2pf8AQ9+Lv/Btcf8AxdFwuH/CLal/0Pfi7/wbXH/xdFwuH/CLal/0
Pfi7/wAG1x/8XRcLh/wi2pf9D34u/wDBtcf/ABdFwuc/4vPi7wMsHiPRfFet6ja2fM9vqGoT
Sxv9VZiDTTGmfS3gbVJtc8FeH9WuwouL/T7e6kC9Azxqxx7ZNMZ5P4WXd4n8c/8AYXl/nSZL
OmnmttPspby+kWK3jGSxOKQHzn8RfjTqWq3smmeFFeJN2wSRjJemMzND+DvjvxcBe6is8cb8
qzk8/hTGdNf/ALMmtwWiyW2oGWU9U9KAOL1Pw58Rfhm32orcx2qNw4JYEUAer/C74y2fiAx6
broW3vT8quf4zSsKx6xcQ45GCDyCKQjPmTrQBUcYoAiNACUAFAASFVnc4RRlj6CgDxjxb401
nxP4k/4RzwUrFt2xpV/WmkNI6VvgXpHh7Rv7d+IXiCSNWIEmWI2se1MYknwIsNY0ZfEHw816
SVOTEAxIcjtQBh+EvGOteG/EC+HPG8TRzMcRyt3pNCaPYOMAg5DDIPtSEJQAUAFABQAUAcf8
Yv8Akmuq/wC7QgR7l8J/+SWeDf8AsC2X/ohKoo4DwZGH8T+OMnA/tiXJ9OaTEzxD9oTxvc6r
ra+G9Id9kZ2SbD980Aevfs+/Byx8PaRBrGtwJPqc6hgrjIQUxnvKIsaBUUKo4AA4FAC0AV9Q
sbXULZre9gjnhYYKuuRQB8a/tCfCWXwXqK+IvDoYWDybiq9Y2/woA9J+B3jNfF3hYQXL/wCm
Wg2vnq1JiZ29wmCaQjPlHNAFdqAG0AFAHIfFrVptF8EXNzbHEr/ux+NCBHSfsveBrPTfCcGv
XUQbU7pi5cjkCqKNT9ojxL4OtdGi0PxmlxJFcMJVWD7wx34oAt/s++JfCeoeHDo/g5Z0trMl
ik33ue5oA5n9q/whBe+GY/EVqm3UbJwdw7rQBl/DLVZda8E2V5ccy42H8Kkk6agAoAKACgAo
A4/4xf8AJNdV/wB2hAj3L4T/APJLPBv/AGBbL/0QlUUeb6RKbc/E24X70WozsPzpMTPBvgLo
/wDwmHxYF/fDzIopS7qec80xn0J8ffiunw+sYdO0xA2pSqAqj+BfWgDxmLx98WrXTYPEE0M0
mkuwIwpORQB3PjP4+32meD7X/QDb61cqP3Z6getAHDx/ED4sabZ22vXkE0ulSMCoCk5FAH0P
DcyeP/hVcS6nY+RNcW7YjYcg460AfLHwKkuNB+Kz6IxOxnZW/CgD6jv02zOPQ1JJlTDmgCo/
WgBlABQBwPx1R3+HzmNSxSUMQPShAj2H9nzVYNV+GWmSQMuUGxlHYjFUUeP/ALZXhW8uJLLx
HHzaW6eQ/sSaAND9jfwreWFhfa/OMW16gjj98GgD0L9pfVYdL+GV75pXfMdiKepJoA81+C8b
x/DqyEilWZi2D71LJZ2tABQAUAFABQBx/wAYv+Sa6r/u0IEe5fCf/klng3/sC2X/AKISqKPM
7L/jz+Kn/X/cfzpMTPL/ANj27hh8V6jBIB5sh+WmMi/a6tprX4mafqU0TNZ+UgzjgkYyKAPZ
dH+Kfg3S/hjp11eXFtKixqptBgsD9DQB88/HzWLXXPGem+I9PtmTSGjjUDbgZHWgD6Jsvil4
M0n4a6dc3txbXCLGqm0GGYH6GgDvPDHiPTvEPhH+1NMj8uyaMkLjGOKAPkLwLKk37R0skX3D
O+MfhQB9Pal/r5PqakkyJqAKb9aAGUAFAFXVbCHVNOns7hQySoVGfWgDx7wL4t1b4M+LprDU
0eTQp5M5/hAJ7VRR7l8TptK+LPw7Om+H9bs4riZ0lCyOOMdjQBN4C1HR/hR8NrfTNe1m0mub
TczLG4yc9hQB4L4w8Tar8Z/GkENpG8ehWz5GfukA0Az2ewtIrCxhtbdQscagYFSSTUAFABQA
UAFAHH/GL/kmuq/7tCBHuXwn/wCSWeDf+wLZf+iEqijz3wxb/bNT+IdoRkT6pMn5mkxM+c9A
1B/hj8aA84ZLWOf5h2Kk0xn2N4l8M6F8R/DUJvYo5opUDxyDkrmgDy20/Zi8Pw3yTyXs0kat
nyznBoA9J8Q/C7w7rPhhNFa0SOGMDYwHIPrQB5rYfsw6Bb3kc0t9NKitkxnODQB2XxS1rR/h
n8Np7W0VIPMjMMMYPO4jGcUAfPH7NWh3Gq+JrrxBOpPksTvPcmkJn0helmdjg8n0pCMuYN/d
P5UAVnVv7p/KgBmxv7p/KgA2N/dP5UAG1v7p/KgDO13QrDXbQ2+p2omX+EkdKAPNpfgmsd40
+l6xPZqTkIpPFO47joPgrG98tzqurT3oByVYnmi4XPSdG0Sx0S1FvplqIU74HWkIv7W/un8q
ADY390/lQAbG/un8qADY390/lQAbG/un8qADY390/lQBx3xjVh8NdVyD09KECPcfhP8A8ks8
G/8AYFsv/RCVRR8v6v8AFG88F/GTxXYOA2lyanIzgdQSetIVjpPix4Ps/iN4ai8QeHCj3Uab
iF6txQgON+DXxm1DwFc/2H4kSWSxRtuG+9H/APWpjPrLw/468Pa7Zxz2Wp253jOwvyKANyfU
bOCISTXUKIejFhigDz74g/GPwz4Rs3f7XHeXODiKFskHtmgD5I1vVvEfxm8aINsrWxfCov3Y
1oA9x1nV9J+D3gqGwiKPqJTovVjiluI8Tm+Ovi15GKywhSeBt6CiwWIG+Nviw9Zof++aLBYZ
/wALq8V/89of++aLBYP+F0+Kv+e0P/fNFgsH/C6fFX/PaH/vmiwWD/hdPir/AJ7Q/wDfNFgs
aOi/Ezx9rkrxaRbm7kQZZYo92KLBYdq3xJ+IGj3sVpqlsbW5lx5cckeC2TgYosFitqfxY8ba
Xdta6iq29woBMciYIB6UWCw/Ufip4501YG1CMW4nTfEXjxvX1FFgsUv+F0+Kv+e0P/fNFgsH
/C6fFX/PaH/vmiwWD/hdPir/AJ7Q/wDfNFgsH/C6fFX/AD2h/wC+aLBYP+F0+Kv+e0P/AHzR
YLB/wunxV/z2h/75osFjP8QfFPxDr2jz6bfSxm2m4YBeaLBY+7fhP/ySzwb/ANgWy/8ARCUx
nwh8df8AksHi7/sISfzoAvfCX4l3vgzUEimcy6c5wyHkKKAse4634Q8HfFXTRqGk3MNpdsNz
OCASfpSEeX3fwY8baNeN/wAI60ksRPDo2M0XC5Lc+Bfi9cwiGdrp4x0Bk/8ArU7juXfDPwD1
S/uPP8VXhtMnLbj1/E0riud7q/iTwl8JtHe00ZYZdT24yuDuNAHzF4u8S3/ijVpb7UZWZmJK
oTwo9BTGYdABQAUAFABQAUAfQX7KsnlWvi92ne2QWgzcIu5o/cUAN+Jlw83g1r6ymbWVhlUj
VLldksDAghVB7UAReC7m28feH7vWNfskuL/w3D58kpHN2vOFagDyXxr4qvfFeqm6vDthTKwQ
jpEnZRQBz1ABQAUAFABQAUAFAH6VfCf/AJJZ4N/7Atl/6ISgD5G+P/wx8VD4m6vf6Zomqapa
6jM1ykllZyTKgP8ACSoIzQB5z/wrjxx/0JviT/wVz/8AxNAGjo/hP4kaPcLLYeF/FMRU5wNN
uMfltoA9Cs/FvxrtIVii8NeItoGOdJn/APiaLCsT/wDCb/G//oWvEP8A4KZ//iaVh2MfX9X+
MmtwNFd+G/EgUjHyaVOP/ZaYHBXHgDx7cyGS48JeKJXPd9MnJ/8AQaAIv+FceOP+hN8Sf+Cu
f/4mgA/4Vx44/wChN8Sf+Cuf/wCJoAP+FceOP+hN8Sf+Cuf/AOJoAP8AhXHjj/oTfEn/AIK5
/wD4mgA/4Vx44/6E3xJ/4K5//iaAD/hXHjj/AKE3xJ/4K5//AImgA/4Vx44/6E3xJ/4K5/8A
4mgDrfh/bfFDwLPdSaL4P1//AElNkqy6TOwYfTbQA3xvZ/E7xfNG1/4O8QQxou3ybfSZ0Q+5
G3k0AVvDWj/Ezw7pmqWGm+EfESwajH5U4OlTnI/75oA53/hXHjj/AKE3xJ/4K5//AImgA/4V
x44/6E3xJ/4K5/8A4mgA/wCFceOP+hN8Sf8Agrn/APiaAD/hXHjj/oTfEn/grn/+JoAP+Fce
OP8AoTfEn/grn/8AiaAD/hXHjj/oTfEn/grn/wDiaAD/AIVx44/6E3xJ/wCCuf8A+JoA1vCv
wh8Z67rltp8/h7WdNjlODc3dhLHEn1YqAKAPvrwXpUmheDtC0id1ebT7CC0d16M0caqSPyoA
/9k=
de salud que actualmente afecta a la población de los países de América Latina, que
preocupa y ocupa a los gobiernos, a los sistemas sanitarios de la región y que repercute
en la economía de los países.
Al continuar el análisis del comportamiento epidemiológico de ambas infecciones virales
en América Latina, encontramos en la sistematización de la bibliografía disponible sobre
esta problemática de salud autores como: Silvestre y colaboradores (68), quienes en un
estudio comparativo realizado en la cuenca amazónica brasileña, en un total de 2351
pacientes con diagnóstico de Covid-19 (edad media: 40,4 ± 12,7 años; 49% hombres),
compararon cantidades iguales de pacientes, 1177 casos (50%) con antecedentes de
dengue y el otro 50% sin antecedentes conocidos de esta enfermedad. El principal
hallazgo del presente estudio fue una disminución de la mortalidad, hasta los 60 días de
seguimiento, entre los pacientes con Covid-19 que tenían antecedentes de infección
sintomática por dengue.
El estudio de Silvestre y col. (68), sugiere que las personas con antecedentes de infección
por dengue tienen una menor mortalidad por Covid-19. Sin embargo, no asumen una
asociación causal entre el dengue previo y la inmunidad que mejora el pronóstico de la
infección por SARS-CoV-2. Se necesitan más estudios que comparen la exposición
previa con el virus del dengue y los diferentes resultados de Covid-19 para dilucidar la
asociación entre estos 2 virus.
Existen estudios sobre el comportamiento epidemiológico sobre Dengue y Covid-19,
como el realizado por Cardona y colaboradores en Colombia en 2020 (16), que reportan
los resultados del análisis a nivel departamental y nacional de ambas epidemias. En las
regiones con una mayor incidencia de dengue tuvieron un menor número de casos de
Covid-19 y una menor mortalidad relacionada con Covid-19. Estos hallazgos plantean la
posibilidad de que el dengue pueda inducir un grado de protección inmunológica contra
la infección por SARS-CoV-2.
Teniendo en cuenta los principales resultados obtenidos los autores proponen diferentes
escenarios que podrían explicar los fenómenos observados a nivel departamental y
nacional sobre la coinfección por dengue y Covid-19 en Colombia: (a) Disminución
estacional coincidente en los informes de dengue con una pendiente creciente de casos de
Covid-19; y (b) la interferencia viral, un proceso en el que un virus bloquea la entrada y
la replicación de otro virus, del SARS-CoV-2 sobre el DENV. Esto podría explicarse por
la alta virulencia y patogenicidad observada en la infección por SARS-CoV-2 y el
tropismo hacia las células endoteliales que presentan ambos virus, lo que podría conducir
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 882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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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a una inhibición competitiva (16). Resultados que coinciden con los de Silvestre y col.
(68).
Los autores consultados coinciden en resaltar los desafíos en el diagnóstico diferencial y
la importancia de considerar las infecciones concomitantes, especialmente para mejorar
el manejo clínico y las posibles medidas de prevención. No considerar la coinfección por
SARS-CoV-2 y DENV puede afectar tanto a nivel individual como comunitario,
especialmente en áreas endémicas. Este estudio es de vital importancia para futuras
investigaciones.
Conclusiones
Teniendo
en
cuenta
los
resultados
obtenidos
en
la
investigación
realizada
y
su
interpretación se puede establecer las siguientes conclusiones:
La región de norte américa cuenta con la menor cantidad de estudios acerca de la
coinfección Dengue y Covid-19, le continúa en orden decreciente Sur América que
se destaca como la región que más estudios presenta sobre el tema. Predominaron los
estudios sobre población adulta. Existe bibliografía limitada sobre presentación de
casos con coinfección.
El comportamiento epidemiológico de ambas epidemias estuvo caracterizado
por una
elevada tasa de incidencia, no así en cuanto a la tasa de letalidad, la cual fue baja en
el dengue y elevada en la Covid-19.
Ambas epidemias presentaron un comportamiento clínico similar, en donde las
manifestaciones clínicas más recurrentes fueron fiebre y disnea, estos críticos clínicos
sugieren que no son suficientes para diferenciar la infección por Covid-19 y Dengue
lo que refuerza al diagnóstico diferencial del laboratorio.
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 883
/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX
FBYWGh0lHxobIxwWFiAsICMmJykqKRkfLTAtKDAlKCko/9sAQwEHBwcKCAoTCgoTKBoWGigo
KCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgo/8AAEQgA
VwBYAwERAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIB
AwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYX
GBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeI
iYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn
6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIB
AgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDTh
JfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWG
h4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm
5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A7P4+fF7WPh7rdpaaZZJNDLHvZ3XgH0oAf8Ef
jlF41ujputIkGqSN+5SMcMKAPc6APNPjN8ULP4f6S4DK2qyLugibo1AHlnws+P8Ar/i3xpYa
TdafCtvO2GeNfu0AfT1ABQAUAFABQAUAeR/tN6daz/DDUrlrNZrtAAjhcsvWgD4t8B+IrzwX
4qs9YgtyZ4T8quMZzQB+i3hnVv7V8M2OpStGrzwiRsEYUkUAfCvx98aXnjPxpNDPAoFg7QR+
WM7hQB7N+xrplu2kanPdWWLqOUbJZEwQPagD6cGaWoBTAKADvUu9wCqAKAOb+ILXqeGLltNs
4by5/hil+6aAPj74z+GvFWpwLrl/pFpY21qu0pb4yffAoATwZ8SI9N+D+uaRd6nMuryEi2Bb
lR6UAc98JfDniPU9a/t/TbOK8+zv863J4kJ+vWgD7G+E02qtp902t6Xaaawb5RBjBHvQBy3j
/wCNlro2rfYdGCXDRErKzdAa5K2J5NEfQZdkksTHmqaIxtB+Ppl1SCPVoI4rRjh3XqKini+Z
2Z14vh32UHKm7s9602/t9SsobuzkEkMq7lIPau1O+qPlpwcHyyLNMkKACgDkfip9k/4Q27/t
C9msbfjdNF95aAPG/hxZeFb7xNFAPEN/qgZGzbXGSjfXNAHknxC8OeEYPi0LS2e5XS5Jv9JK
ocRnuBQB7V8QtJ8I6VpujRward6PCYht+zAjzeOpxQBNoU9rbfDDXJPDusXmouM/vJc7l+lZ
Vm1BtHdlsIzxEYy2PH/AGhDxJ4tWyvklVZ3+aRgeK8qEHUlZn3+JxMcFQ54dDovjN4DtfBzW
0dh5k4lGScZxV1qHsnoc2WZq8fF+0Vj1D9ma6up9EvEuGlMcZAjV88D2rswkm46nznEFKEKq
cD2uus+eCgAoA5r4ifav+EXufsFjFfz/AMMEv3WoA8y+Hg8Qf8JLF9v8KafYwbTmaIDcPagD
O19/FS6/eLb+CrGaEzfLIyjc49aAOh+IY1z7HpX2Hw1ZXr+V+8SUD92cdBQBb8FHWU8Jakbz
QLOyuMnZBHja/wBamWxrQ0mtbFXwXNrcniCNbzQbO2hz/rI8ZrGK12PSrzXJ8TZufFF9TjaD
+zdLt74Y5MuOKqovIwwckvtWPOtf8b+NPBmjNqFp4etksUGZigBAp01YnGSUnvc4df2qNa/i
0uD8MVozhNnwr+0/Lea7awa1YpbWLnEkoI4qOR9xn09pWo2uqWEN5YyrLBKodWB7GtBHn/7Q
+oXWmfC/U7nTro210mNrqcHv0oA+Vfg58TdTsPH2nz+JNbun0xT+8WRsg9KAPsSfRm13X9K8
S2eqzJZRRhhAv3ZB70AfNv7TXxLlm8TW1t4V1eeEWylLhYmx81AHT/s7a3fa38Ptfk8QaxMV
RiFkZsuo9qmWxrQvzqyOm+HQ0r/hJYza+Iby7kUk+VJnBrGFr7np4nm5NYnS+Nf7O8Xw3E1j
rc1ounZWfyz3qqlmrnNhXKEuW17nHeI2tYvgj4gj03U5tUAU53ckU6TTWgY+MlL3lY8Z+A/w
hs/iJY6hPqNzNam2YKMAjPStTgLfxm+A9z4NsI9R0SR7ywRSZ3b+CgD0j9jPU72+0vWIry5k
mihKrErHOwccUAT/ALTfg/xl4p1i0j8OpLNpvlYljU4Bb3oA8JT4GeO9650lgM+v/wBagD7m
8G2M9h4M02yuV2zxWwjZfQ4oA+MvGvwX8a33ivVbq10svBNOzo2eoP4UAafw7+HXxE8MazFK
2nv9gzmWBm+R/qMVMtjeg0panvHgpdVbXiLnw3a2UTKR5qAZFZxvfY7K/IoaSucd4YnvvCHx
L1HQdVs0lsdZkLKTzx2rO7jLlfU6XTjVoqrB2cTrtE8Nah4b0zxIYNPhuBK5MFux+VhWlOHK
2cmNxCrRj3PNvGviTxzpng+/jtNBtdHtmwZZoCARj6VsecZvxI+NVpN8MbDw/pMv2ue5txFe
SOcsp/8A10Ab/wCxOpGn66SMfMvXv0oA+n6ACgAoAKAOc+IcWpT+E76PRGZb5l+Qr1qKl+XQ
6MM4KoufY+cfhR4n1wfEUadrGoznaWUxynjNclKcuazPoMZh6To81NFjTr+41L46sNUuCfJl
ZYA54HTGKzU26up21MPCGX3juenzW2p22i+JW8RahJa2TtmG4jOSg9q9CNz5Gq4tJRPAvHo0
UeF7r7H40vL+c4AtnJ+f8KowMu4+D9rBf+Ebd7/A1pQXJOPLzQB9leCPCWmeEdGgsNLhRNiB
XkAwXPqaAOhoAKACgAoAKAPPPF/wv03XNVi1Kzf7DeLnc8Y+9WM6Slqj0MNmEqKcXqjnPib8
J/7R0+31DRJWi1ezXIdeDIcVFSjpeO514PMn7Tlq/Czh/hZ4s1ptePhPxVbvfWlwxR/NGcEV
GHlJO0jpzahRnFVKRieJtGtH+PGiWF5oUFnpqy7Y1TpKvqa7D5ss/tgyHR9R8OHS2Ns8SnZ5
fG3r0oA+hPhVcz3fw/0We7kMs7wAs56k0AdZQAUAFABQAUAFABQBz2sweH9Aim1vULeCARfM
8+3ke9LlW5o6s2uVvQ+ZJ7/TdS+POh3ukay2qQzS7whbPle1MzZ6N+1N4Fh1/wANf281wY5N
NThP7wNAHW/AXxNpmueA9OttOnEk9nCEmX+6aAPSaACgAoAKACgAoAKAOd+IHhiLxh4VvdEu
JDFHcrgsO1AHkvgb9nWx8K+J7LWI9Vkme2bcEI60Aeu+OvDkfizwxeaNNKYo7ldpcdqAOV+D
nwut/htBfRW161yLogncOmKAP//Z
/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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Referencias bibliográficas
1. Cabezas C, Fiestas V, García-Mendoza M, Palomino M, Mamani E, Donaires F. Dengue
en el Perú: a un cuarto de siglo de su reemergencia. Revista Peruana de Medicina
Experimental y Salud Publica. Instituto Nacional de Salud; 2019 Jan;32(1):146–156.
2. Castañeda Gómez J, González Acosta C, Jaime Rodríguez JL, Villegas Trejo A, Moreno-
García M. COVID-19 y su impacto en el control del mosquito Aedes (Stegomyia) aegypti
y la vigilancia epidemiológica de infecciones por arbovirus. Gac. Méd. Méx. Ciudad de
México 2021;157(2)
3. Lwande OW., Obanda V., Lindström A., Ahlm C., Evander M., Näslund J. & Bucht G.
(2020). Globe-Trotting Aedes aegypti and Aedes albopictus: Risk Factors for Arbovirus
Pandemics. Vector borne and zoonotic diseases (Larchmont, N.Y.), 20(2), 71–81.
https://doi.org/10.1089/vbz.2019.2486. PMID: 31556813 PMCID: PMC7041325.
4. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, Zhao X, Huang B, Shi W, Lu R, Niu P,
Zhan F, Ma X, Wang D, Xu W, Wu G, Gao GF, Tan W; China Novel Coronavirus
Investigating and Research Team. A Novel Coronavirus from Patients with Pneumonia in
China, 2019. N Engl J Med. 2020 Feb 20;382(8):727-733. doi: 10.1056/NEJMoa2001017.
5. Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, Wang W, Song H, Huang B, Zhu N, Bi Y, Ma
X, Zhan F, Wang L, Hu T, Zhou H, Hu Z, Zhou W, Zhao L, Chen J, Meng Y, Wang J, Lin
Y, Yuan J, Xie Z, Ma J, Liu WJ, Wang D, Xu W, Holmes EC, Gao GF, Wu G, Chen W,
Shi W, Tan W. Genomic characterisation and epidemiology of 2019 novel coronavirus:
implications for virus origins and receptor binding. Lancet. 2020 Feb 22;395(10224):565-
574. doi: 10.1016/S0140-6736(20)30251-8
6. Mehta P, McAuley DF, Brown M, Sanchez E, Tattersall RS, Manson JJ; HLH Across
Speciality Collaboration, UK. COVID-19: consider cytokine storm syndromes and
immunosuppression. Lancet. 2020 Mar 28;395(10229):1033-1034. doi: 10.1016/S0140-
6736(20)30628-0.
7. Mostaza-Fernández JL, Guerra Laso J, Carriedo Ule D, Ruiz de Morales JMG.
Linfohistiocitosis hemofagocítica asociada a infecciones virales: reto diagnóstico y dilema
terapéutico. Revista Clínica Española. 2014 Aug 1;214(6):320–327.
8. García SA. Revisión narrativa sobre la respuesta inmunitaria frente a coronavirus:
descripción general, aplicabilidad para SARS-COV-2 e implicaciones terapéuticas. An
Ped (Barc) [en línea]. 2020 May [citado 09/06/2020]; ANPEDI-2850: [aprox. 7 p.]. Doi:
https://doi.org/10.1016/j.anpedi.2020.04.016
9. Ministerio de Salud Pública de Cuba. Protocolo de Actuación para COVID-19, versión
1.6. La Habana, 2021.
10.Saavedra Velasco M, Chiara Chilet C, Pichardo Rodriguez R, Grandez Urbina A, Inga-
Berrospi F. Coinfección entre dengue y COVID-19: Necesidad de abordaje en zonas
endémicas. Rev Fac Cien Med Univ Nac Cordoba [Internet]. 31 de marzo de 2020 [citado
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 884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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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11 de diciembre de 2021];77(1):52-4. Disponible en:
https://revistas.unc.edu.ar/index.php/med/article/view/28031
11. Ruiy W, Hsu S-Y, Tsai H-L, Chen C-T, Tseng C-P, Chen W-T. COVID-19 mimicking
dengue fever with the initial manifestation of retroorbital pain - A Rare Case. J Formos
Med Assoc Taiwan Yi Zhi. 2020;119(11):1715-6. [ Links ]
12. Joob B, Wiwanitkit V. COVID-19 can present with a rash and be mistaken for Dengue.
J Am Acad Dermatol. 2020 Mar 22:S0190-9622(20)30454-0. doi:
10.1016/j.jaad.2020.03.036.
13. Martínez TE, Sabatier GJ. Dengue y COVID-19: semejanzas y diferencias. Rev Cubana
Ped [en línea]. 2020 [citado 09/06/2020]; 92(supl. especial COVID-19):e1211.
Disponible
en: http://www.revpediatria.sld.cu/index.php/ped/article/view/1211
14. Yan G, Lee CK, Lam LTM, Yan B, Chua YX, Lim AYN, Phang KF, Kew GS, Teng H,
Ngai CH, Lin L, Foo RM, Pada S, Ng LC, Tambyah PA. Covert COVID-19 and false-
positive dengue serology in Singapore. Lancet Infect Dis. 2020 Mar 4:S1473-
3099(20)30158-4. doi: 10.1016/S1473-3099(20)30158-4.
15. Promchertchoo P. Man diagnosed with dengue, COVID-19 dies in Thailand. Disponible
en:
https://www.channelnewsasia.com/news/asia/thailand-records-first-covid-19-death-
coronavirus-12487738.
16. Cardona J, Arteaga K, Gómez K, Pérez D. Dengue y COVID-19, ¿epidemias
superpuestas? Un análisis desde Colombia. J Med Virol. 2021 Enero; 1(93).
17. Henrina J, Putra ICS, Lawrensia S, Handoyono QF, Cahyadi A. Coronavirus Disease of
2019: a Mimicker of Dengue Infection? SN Compr Clin Med. 13 de julio de 2020;1-11.
[ Links ].
18. Alfonso Rodríguez Morales. Ministerio de Salud Pública de Colombia. Asociación
Colombiana de Infectología. 2020.
19. López LP, López ME, Benavidez I. COVID-19 en la época de dengue. Rev Latin Infect
Pediatr 2020; 33(3).
20. Navarro JC, Arrivillaga-Henríquez J. COVID-19 and dengue, co-epidemics in Ecuador
and other countries in Latin America: Pushing strained health care systems over the edge.
Travel Medicine and Infectious Disease. [Internet]. 2020. [08 April 2020]; 2 Available
in:
https://doi.org/10.1016/tmaid.2020.101656
21.
Díaz-Trujillo E, Batista-Cuenca M. Reflexión sobre la infección por dengue durante la
pandemia de la COVID-19. RIC [Internet]. 2020 [citado 22/10/2020];
99(4):[aproximadamente 2 p.]. Disponible en:
http://www.revinfcientifica.sld.cu/index.php/ric/article/view/2988 [ Links ]
22. Dantés HG, Manrique-Saide P, Vazquez-Prokopec G, Morales FC, Siqueira Junior JB,
Pimenta F, et al. Prevention and control of Aedes transmitted infections in the post-
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 885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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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pandemic scenario of COVID-19: challenges and opportunities for the region of the
Americas. Mem Inst Oswaldo Cruz. 2020; 115:e200284. [ Links ]
23. Pontes RL, de Brito BB, da Silva FAF, Figueredo MS, Correia TML, Teixeira AF, et al.
Coinfection by SARS-CoV-2 and dengue virus in a dual viral circulation setting. Travel
Med Infect Dis. octubre de 2020; 37:101862. [ Links ]
24. Epelboin L, Blondé R, Nacher M, Combe P, Collet L. COVID-19 and dengue co-
infection in a returning traveller. J Travel Med. 26 de 2020; 27(6). [ Links ]
25. Real Cotto JJ, Regato Arrata ME, Burgos Yépez VE, Jurado Cobeña ET. Evolución del
virus dengue en el Ecuador. Período 2000 a 2015. An. Fac. med. 2017;78(1). Disponible
en:
http://dx.doi.org/10.15381/anales.v78i1.13018
26. Ochoa OMR, Casanova MMC, Díaz DMA. Análisis sobre el dengue, su agente
transmisor y estrategias de prevención y control. AMC. 2015; 19: 189-202.
27. Mourão MPG, Bastos MS, Figueiredo RMP, Gimaque JBL, Alves VCR, Saraiva MGG,
et al. Arboviral diseases in the Western Brazilian Amazon: a perspective and analysis
from a tertiary health & research center in Manaus, State of Amazonas. Rev Soc Bras
Med Trop. 2015; 48(suppl 1): 20-6.
28. Dayan G, Arredondo JL, Carrasquilla G, Deseda CC, Dietze R, Luz K, et al. Prospective
cohort study with active surveillance for fever in four dengue endemic countries in Latin
America. Am J Trop Med Hyg. 2015; 93: 18-23.
29. Araujo RV, Albertini MR, Costa-da-Silva AL, Suesdek L, Franceschi NC, Bastos NM,
et al. São Paulo urban heat islands have a higher incidence of dengue than other urban
areas. Braz J Infect Dis. 2015; 19: 146-55.
30. Morato DG, Barreto FR, Braga JU, Natividade MS, Costa MdCN, Morato V, et al. The
spatiotemporal trajectory of a dengue epidemic in a medium-sized city. Mem Inst Osw
Cruz. 2015; 110: 528-33.
31. Quintero J, Brochero H, Manrique-Saide P, Barrera-Pérez M, Basso C, Romero S, et al.
Ecological, biological and social dimensions of dengue vector breeding in five urban
settings of Latin America: a multi-country study. BMC Infect Dis. 2014; 14: 38.
32. Bouzid M, Colón-González FJ, Lung T, Lake IR, Hunter PR. Climate change and the
emergence of vector-borne diseases in Europe: case study of dengue fever. BMC Public
Health. 2014; 14: 781.
33. Cruz LC, Serra OP, Leal-Santos FA, Ribeiro AL, Slhessarenko RD, Santos MA. Natural
transovarial transmission of dengue virus 4 in Aedes aegypti from Cuiabá, State of Mato
Grosso, Brazil. Rev Soc Bras Med Trop. 2015; 48: 18-25.
34. Ye, Y.X.H., et al., Wolbachia Reduces the Transmission Potential of Dengue-Infected
Aedes aegypti. PLOS Neglected Tropical Diseases, 2015. 9(6): p. e0003894.
35. Duong, V., et al., Asymptomatic humans transmit dengue virus to mosquitoes.
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 886
/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX
FBYWGh0lHxobIxwWFiAsICMmJykqKRkfLTAtKDAlKCko/9sAQwEHBwcKCAoTCgoTKBoWGigo
KCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgo/8AAEQgA
VwBYAwERAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIB
AwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYX
GBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeI
iYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn
6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIB
AgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDTh
JfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWG
h4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm
5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A7P4+fF7WPh7rdpaaZZJNDLHvZ3XgH0oAf8Ef
jlF41ujputIkGqSN+5SMcMKAPc6APNPjN8ULP4f6S4DK2qyLugibo1AHlnws+P8Ar/i3xpYa
TdafCtvO2GeNfu0AfT1ABQAUAFABQAUAeR/tN6daz/DDUrlrNZrtAAjhcsvWgD4t8B+IrzwX
4qs9YgtyZ4T8quMZzQB+i3hnVv7V8M2OpStGrzwiRsEYUkUAfCvx98aXnjPxpNDPAoFg7QR+
WM7hQB7N+xrplu2kanPdWWLqOUbJZEwQPagD6cGaWoBTAKADvUu9wCqAKAOb+ILXqeGLltNs
4by5/hil+6aAPj74z+GvFWpwLrl/pFpY21qu0pb4yffAoATwZ8SI9N+D+uaRd6nMuryEi2Bb
lR6UAc98JfDniPU9a/t/TbOK8+zv863J4kJ+vWgD7G+E02qtp902t6Xaaawb5RBjBHvQBy3j
/wCNlro2rfYdGCXDRErKzdAa5K2J5NEfQZdkksTHmqaIxtB+Ppl1SCPVoI4rRjh3XqKini+Z
2Z14vh32UHKm7s9602/t9SsobuzkEkMq7lIPau1O+qPlpwcHyyLNMkKACgDkfip9k/4Q27/t
C9msbfjdNF95aAPG/hxZeFb7xNFAPEN/qgZGzbXGSjfXNAHknxC8OeEYPi0LS2e5XS5Jv9JK
ocRnuBQB7V8QtJ8I6VpujRward6PCYht+zAjzeOpxQBNoU9rbfDDXJPDusXmouM/vJc7l+lZ
Vm1BtHdlsIzxEYy2PH/AGhDxJ4tWyvklVZ3+aRgeK8qEHUlZn3+JxMcFQ54dDovjN4DtfBzW
0dh5k4lGScZxV1qHsnoc2WZq8fF+0Vj1D9ma6up9EvEuGlMcZAjV88D2rswkm46nznEFKEKq
cD2uus+eCgAoA5r4ifav+EXufsFjFfz/AMMEv3WoA8y+Hg8Qf8JLF9v8KafYwbTmaIDcPagD
O19/FS6/eLb+CrGaEzfLIyjc49aAOh+IY1z7HpX2Hw1ZXr+V+8SUD92cdBQBb8FHWU8Jakbz
QLOyuMnZBHja/wBamWxrQ0mtbFXwXNrcniCNbzQbO2hz/rI8ZrGK12PSrzXJ8TZufFF9TjaD
+zdLt74Y5MuOKqovIwwckvtWPOtf8b+NPBmjNqFp4etksUGZigBAp01YnGSUnvc4df2qNa/i
0uD8MVozhNnwr+0/Lea7awa1YpbWLnEkoI4qOR9xn09pWo2uqWEN5YyrLBKodWB7GtBHn/7Q
+oXWmfC/U7nTro210mNrqcHv0oA+Vfg58TdTsPH2nz+JNbun0xT+8WRsg9KAPsSfRm13X9K8
S2eqzJZRRhhAv3ZB70AfNv7TXxLlm8TW1t4V1eeEWylLhYmx81AHT/s7a3fa38Ptfk8QaxMV
RiFkZsuo9qmWxrQvzqyOm+HQ0r/hJYza+Iby7kUk+VJnBrGFr7np4nm5NYnS+Nf7O8Xw3E1j
rc1ounZWfyz3qqlmrnNhXKEuW17nHeI2tYvgj4gj03U5tUAU53ckU6TTWgY+MlL3lY8Z+A/w
hs/iJY6hPqNzNam2YKMAjPStTgLfxm+A9z4NsI9R0SR7ywRSZ3b+CgD0j9jPU72+0vWIry5k
mihKrErHOwccUAT/ALTfg/xl4p1i0j8OpLNpvlYljU4Bb3oA8JT4GeO9650lgM+v/wBagD7m
8G2M9h4M02yuV2zxWwjZfQ4oA+MvGvwX8a33ivVbq10svBNOzo2eoP4UAafw7+HXxE8MazFK
2nv9gzmWBm+R/qMVMtjeg0panvHgpdVbXiLnw3a2UTKR5qAZFZxvfY7K/IoaSucd4YnvvCHx
L1HQdVs0lsdZkLKTzx2rO7jLlfU6XTjVoqrB2cTrtE8Nah4b0zxIYNPhuBK5MFux+VhWlOHK
2cmNxCrRj3PNvGviTxzpng+/jtNBtdHtmwZZoCARj6VsecZvxI+NVpN8MbDw/pMv2ue5txFe
SOcsp/8A10Ab/wCxOpGn66SMfMvXv0oA+n6ACgAoAKAOc+IcWpT+E76PRGZb5l+Qr1qKl+XQ
6MM4KoufY+cfhR4n1wfEUadrGoznaWUxynjNclKcuazPoMZh6To81NFjTr+41L46sNUuCfJl
ZYA54HTGKzU26up21MPCGX3juenzW2p22i+JW8RahJa2TtmG4jOSg9q9CNz5Gq4tJRPAvHo0
UeF7r7H40vL+c4AtnJ+f8KowMu4+D9rBf+Ebd7/A1pQXJOPLzQB9leCPCWmeEdGgsNLhRNiB
XkAwXPqaAOhoAKACgAoAKAPPPF/wv03XNVi1Kzf7DeLnc8Y+9WM6Slqj0MNmEqKcXqjnPib8
J/7R0+31DRJWi1ezXIdeDIcVFSjpeO514PMn7Tlq/Czh/hZ4s1ptePhPxVbvfWlwxR/NGcEV
GHlJO0jpzahRnFVKRieJtGtH+PGiWF5oUFnpqy7Y1TpKvqa7D5ss/tgyHR9R8OHS2Ns8SnZ5
fG3r0oA+hPhVcz3fw/0We7kMs7wAs56k0AdZQAUAFABQAUAFABQBz2sweH9Aim1vULeCARfM
8+3ke9LlW5o6s2uVvQ+ZJ7/TdS+POh3ukay2qQzS7whbPle1MzZ6N+1N4Fh1/wANf281wY5N
NThP7wNAHW/AXxNpmueA9OttOnEk9nCEmX+6aAPSaACgAoAKACgAoAKAOd+IHhiLxh4VvdEu
JDFHcrgsO1AHkvgb9nWx8K+J7LWI9Vkme2bcEI60Aeu+OvDkfizwxeaNNKYo7ldpcdqAOV+D
nwut/htBfRW161yLogncOmKAP//Z
/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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Proceedings of the National Academy of Sciences of the USA, 2015. 112(47): pp. 14688–
14693.
36. Soria Segarra C, González Rubio D, Izquierdo Estévez A, Martínez Torres E.
Contribución de Ecuador a la utilización de la clasificación de dengue de la OMS 2009.
Rev Cubana Med Trop. 2017;69(2).
37. Horstick O, Martinez E, Guzman MG, San Martin JL, Runge S. WHO Dengue Case
Classification 2009 and its usefulness in practice: an expert consensus in the Americas.
Pathog Glob Health. 2015;109(1):19-25.
38. Naoko Uno TMR. El virus del dengue y la respuesta inmune innata del huésped.
Emerging Microbes y Infections. 2018; 7(1): p. 1-11.
39. Waggoner J.J., et al., Viremia and Clinical Presentation in Nicaraguan Patients Infected
With Zika Virus, Chikungunya Virus, and Dengue Virus. Clinical Infectious Diseases,
2016. 63(12): pp. 1584-1590.
40. Correa Martínez L, Cabrera Morales C, Martínez Licor M, Martínez Núñez M.
Consideraciones clínicas y terapéuticas sobre el dengue. ccm 2016;20(1).
41. Herrera Mayora A, Sánchez Valdivieso EA. Arbovirosis febriles agudas emergentes:
Dengue, Chikungunya y Zika. Med Gen Fam 2017;6(3). Disponible en:
http://dx.doi.org/10.24038/mgyf.2017.016
42. Frantchez V, Fornelli R, Sartori G, Pérez, Arteta Z, Cabrera S, Sosa L et al. (2016).
Dengue en adultos: diagnóstico, tratamiento y abordaje de situaciones especiales. Rev.
Méd. Urug.; 32(1):43-51. Disponible en:
http://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S1688-
03902016000100006&lng=es (Acceso noviembre 2021).
43. Ramudo SV. Estudios sobre el diagnóstico, la respuesta inmune humoral en humanos y
la evaluación de la proteína prM como inmunógeno del virus dengue [Internet]. Editorial
Universitaria; 2012 [citado 11 de enero de 2017]. Disponible en: http://
core.ac.uk/download/pdf/11816309.pdf [ Links ]
44. OPS (2019). Documento operativo de aplicación del manejo integrado de vectores
adaptado al contexto de las Américas. Disponible en:
https://iris.paho.org/handle/10665.2/51760 (Acceso enero 2021).
45. Subsecretaría de Vigilancia de la Salud Pública. Dirección Nacional de Vigilancia
Epidemiológica. Enfermedades transmitidas por vectores. Gaceta DENGE-SE_10.
2017. Guayaquil: Ministerio de Salud Pública del Ecuador; 2017.
46. Conde M, Orjuela LI., Castellanos CA, Herrera-Varela M, Licastro S, Quiñones ML.
Evaluación de la sensibilidad a insecticidas en poblaciones de Aedes aegypti (Diptera:
Culicidae) del departamento de Caldas, Colombia, en 2007 y 2011. Biomédica. 2015; 35
47- Che-Mendoza A, Guillermo-May G, Herrera-Bojórquez J, Barrera-Pérez M, Dzul-
Manzanilla F, Gutiérrez-Castro C, et al. Long-lasting insecticide-treated house screens
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 887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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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and targeted treatment of productive breeding-sites for dengue vector control in
Acapulco, México. Trans R Soc Trop Med Hyg. 2015; 109: 106-15
48. Palencia Gutiérrez EM, Zea Vallejo DA, Berríos Rivas AT. Metodología de canales
endémicos del dengue en Ecuador 2015-2020: Necesidad para planificar y administrar la
salud pública. Boletín de Malariología y Salud Ambiental 2021;61(1).
49. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, Xia J,
Yu T, Zhang X, Zhang L. Epidemiological and clinical characteristics of 99 cases of
2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020
Feb 15;395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7.
50. Acosta JR, Pérez M, Rodríguez M, Morales A. COVID-19 en pediatría: aspectos clínicos,
epidemiológicos, inmunopatogenia, diagnóstico y tratamiento. Revista Cubana de
Pediatría. 2020;92.
51. Beldarrain Chaple E, Alfonso Sánchez IR, Morales Suárez I, Durán García F. Primer
acercamiento histórico epidemiológico a la COVID-19 en Cuba. Anales de la
Academia. 2020;10(2). http://revistaccuba.sld.cu/index.php/revacc/article/view/862/866
52. Chen H, Guo J, Wang C, Luo F, Yu X, Zhang W, et al. Clinical characteristics and
intrauterine vertical transmission potential of COVID-19 infection in nine pregnant
women: a retrospective review of medical records. The Lancet, 2020,
doi:10.1016/S0140- 6736(20)30360-3
53. Coutin G, Bacallao J, Castellanos L. Cuba’s Pedro Kourí Tropical Medicine Institute:
Battling COVID-19 One Study, One Test, One Patient at a Time. Medicc Review.
2020;22(2)
54. Ruan Q, Yang K, Wang W, Jiang L, Song J. Clinical predictors of mortality due to
COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intens Care
Med [en línea]. 2020 Apr [citado 09/06/2020]; 46(5):846-848. Doi:
https://doi.org/10.1007/s00134-020-05991-x
55. Guo YR, Cao QD, Hong ZS, Tan YY, Chen SD, Jin HJ, et al. The origin, transmission
and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak - an update on
the status. Mil Med Res [en línea]. 2020. [citado 09/06/2020]; 7(11):1-10. Doi:
https://doi.org/10.1186/s40779-020-00240-0
56. Centro de Investigaciones Científicas (CENIC). PROPUESTA DE ACTUACION DE
OZONOTERAPIA RECTAL EN EL PACIENTE PERSISTENTE A LA COVID 19.
Cuba, agosto 2020.
57. Peralta Barriga MA. MINUTA TECNICA COVID-19. RECOMENDACIONES DE
AUTOCUIDADO PARA EL PROFESIONAL DE LA SALUD FRENTE PANDEMIA
COVID-19 MEDIANTE TÉCNICAS DE MEDICINA TRADICIONAL CHINA (MTC).
Colegio de Enfermeras de Chile A.G. wwwcolegiodeenfermerascl-562
2 364 91 73- Miraflores 563, Santiago. Chile.
58. Wei-Hong, Liu; Sheng-nan Guo; Fang Wang, Yang Hao: “Understanding of guidance
for acupuncture and moxibustion interventions on COVID-19 (Second edition) issued by
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 888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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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CAAM“ (China Association of Acpuncture-Moxibustión). Disponible en :
https://doi.org/10.1016/j.wjam.2020.03.005
59. National Health Committee of the People´s Republic Of China: “Protocolo de
Diagnóstico y tratamiento para Covid -19 mediante Medicina Tradicional China” Marzo,
2020. Disponible en : https://doi.org/10.1016/j.acu.2020.04.002
60. Lorente, Marian: “Guía sobre el uso de Acupuntura y Moxibustión para tratar Covid-19
(Segunda edición) de grupo de expertos de la Asociación China de Acupuntura-
Moxibustión, Beijin, China” . Disponible en : https://doi.org/10.1016/j.acu.2020.04.001
61. Azevedo LC. COVID-19 and dengue fever, a dangerous combination for the health
system in Brazil. Travel Medicine and Infectious Disease [Internet]. 2020. [21 Abril
2020]; 2. Available in: https://doi.org/10.1016//j.tmaid2020.101659.
62. SIVE Subsistema de Vigilancia – Alerta del Ministerio de Salud Pública de Ecuador
(2021). Enfermedades transmitidas por vectores. Ecuador, SE 01- 53 – 2020. Disponible
en: https://www.salud.gob.ec/wpcontent/uploads/2021/01/Vectores-SE-53.pdf (Acceso
noviembre 2020).
63. Sosa Hernández O. Cocirculación de COVID-19 y dengue: un reto para el sistema de
salud. Gac. Méd. Méx 2021;157(2). https://doi.org/10.24875/gmm.20000669
64. Organización Mundial de la Salud(OMS). Coronavirus disease (COVID-19) outbreak [en
línea]. Ginebra: OMS; 2020. [citado 09/06/2020]; [aprox. 6 p.]. Disponible en:
https://www.who.int/westernpacific/emergencies/novel-coronavirus.
65. Aguilera Batista O, Hernández Perera JC. Dengue y COVID-19: Una aleación
amenazadora para las Américas. Boletín Científico del Cimeq. 2020;1(14): 3-4
66. Espindola LS. SARS-CoV-2/DENV Co-infection: a Series of Cases from the Federal
District, Midwestern Brazil. BMC Infectious Diseases 21(727):1-8
67. Moreno Soto AA, Espinoza Venegas LA, Siles Montoya CAN, Melendez Maron
MB. Coinfección de la SARS-CoV 2 y Virus del Dengue: Reporte de Caso. Acta méd.
Peru 2021;38(2). http://dx.doi.org/10.35663/amp.2021.382.2031
68. Silvestre OM, Costa LR, Lopes BVR, Barbosa MR, Botelho KP, Albuquerque KLC,
Souza AGS, Coelho LA, De Oliveira AJ, Cínthia B Barantini CB. Revious Dengue
Infection and Mortality in Coronavirus Disease 2019 (COVID-19). Clinical Infectious
Diseases 2021;73(5):219-221. https://doi.org/10.1093/cid/ciaa1895
69. Valdés González JL. Valdés González EM, Solís Cartas U, Sigcho Romero SF. Dengue,
COVID-19 y gota, una asociación infrecuente. Revista Cubana de Reumatología
2020;22(4 Extra)
70. Bergero P. Modelo matemático de coinfección de dengue y COVID-19: una primera
aproximación. Rev Argent Salud Publica. 2021;13 Supl COVID-19:e29.
71. López Ponce de León JD, Cárdenas Marín PA, Giraldo González GC, Herrera Escandón
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 889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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX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A. COVID-19 coronavirus: More than just a lung disease: what it is and what we know
about the link with the cardiovascular system. Cardiología del adulto 2020;27(3): 142-52
DOI: 10.1016/j.rccar.2020.04.006.
72. Torres C, Debat H, Viegas M. Características biológicas de las variantes de SARS-CoV-
2 de interés epidemiológico y su impacto sobre la eficacia y la efectividad vacunal,
Argentina 2020. SciELO Preprints disponible en:
https://doi.org/10.1590/SciELOPreprints.2886
73. Óscar Sosa-Hernández. COVID-19 and dengue co-circulation: a challenge for the health
system, Gac Med Mex . 2021;157(2):213. doi: 10.24875/GMM.20000669.
74. Bicudo N, Bicudo H, Duarte C, Alline J, Leite P, Barcelos B, Co-infection of SARS
2 and dengue virus: a clinical challenge. 2020 Sep-Oct;24(5):452-45
doi: 10.1016/j.bjid.2020.07.008. Epub 2020 Aug 26.
75. Navarro JC, Arrivillaga-Henríquez J. COVID-19 and dengue, co-epidemics in Ecuador
and other countries in Latin America: Pushing strained health care systems over the edge.
Travel
Medicine
and
Infectious
Disease.
2020.
[08
April
2020]
Available
in:
https://doi.org/10.1016/tmaid.2020.101656
76. Jimenez-Cauhe J. COVID 19 can present with a rash and be mistaken for dengue. J Am
Acad
Dermatol
[Internet].
2020.
1-8
Available
in:
https://doi.org/10.1016/j.
jaad.2020.04.016
77. Dewi L, Nurhayati L, Gustiani S, Deni P, Herman K, Wahyu N, Adhella M, Rizki Amalia,
Diagnosis of COVID-19 in a Dengue-Endemic Area. Am J Trop Med Hyg. 2020
Sep;103(3):1220-1222. doi: 10.4269/ajtmh.20-0676.
78. Rui L, Xinghui L, Huan H, Muhammad A, Jiesheng Z, Zhili N, Dong L, Fang L, Analysis
of adjunctive serological detection to nucleic acid test for severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) infection diagnosis. Int Immunopharmacol.
2020 Sep;86:106746. doi: 10.1016/j.intimp.2020.106746.
79. Xinting L, Hilary B, Puntani P, Pandji W, Do Thi T, Wenbiao H, Dengue outbreaks in
the
COVID-19
era:
Alarm
raised
for
Asia.
PLoS
Negl
Trop
Dis.
2021
Oct
8;15(10):e0009778. doi: 10.1371/journal.pntd.0009778. eCollection 2021 Oct.
80. Saavedra. V. Revista de la Facultad de Ciencias Médicas de Córdoba [Internet]. 2020.
[09 Abril 2020]; 77 (1): 52-54. Disponible en:
https://revistas.unc.edu.ar/index.php/med
.
81. Lokesh Tiwari 1, Shashank Shekhar 2, Anmol Bansal 2, Pradeep Kumar, COVID-19 with
dengue shock syndrome in a child: coinfection or cross-reactivity?. BMJ Case Rep. 2020
Dec 21;13(12):e239315. doi: 10.1136/bcr-2020-239315.
82. COVID-19 and the urgent need to control outbreaks of dengue and other arboviruses,
Rev
Chilena
Infectol.
2021
Jun;38(3):463-464.
doi:
10.4067/S0716-
10182021000300463.
Vol.6 No.3 (2022): Journal Scientific
Investigar ISSN: 2588–0659
https://doi.org/10.56048/MQR20225.6.3.2022.870-890
Vol.6-N° 03, 2022, pp. 870-890
Journal Scientific
MQRinvestigar 890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/9j/7gAOQWRvYmUAZAAAAAAB/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgX
FBYWGh0lHxobIxwWFiAsICMmJykqKRkfLTAtKDAlKCko/9sAQwEHBwcKCAoTCgoTKBoWGigo
KCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgo/8AAEQgA
SADKAwERAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIB
AwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYX
GBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeI
iYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn
6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIB
AgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDTh
JfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWG
h4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm
5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A19YTxX4w+Juvs3iTVtK0HTbl7NItPvZIN208
EhWHPvSbE2aKeCdQb/mfPF//AINrj/4ui4XLMXgDUHBP/CeeL8Dqf7WuP/i6LhcqzeGbS2bb
dfFDxNC3o2szj/2egLkf9g6X/wBFX8R/+Dmf/wCLoC5atvBpvf8Ajw+JHiq4/wBzWJz/AOz0
XC4svgPUEOD478Xg/wDYWuP/AIui4XKz+C9RX/mfPF//AINrj/4ulcVyBvCGpD/me/F3/g2u
P/i6LhcjPhTUh/zPfi7/AMG1x/8AF0XC43/hFtS/6Hvxd/4Nrj/4ui4XD/hFtS/6Hvxd/wCD
a4/+LouFw/4RbUv+h78Xf+Da4/8Ai6LhcP8AhFtS/wCh78Xf+Da4/wDi6LhcUeFdTwT/AMJ3
4uwOp/ta4/8Ai6LhcoTWEVu5S4+J3iWNx1VtYnz/AOh0XYXYsGnx3LhLb4m+JZXP8K6xP/8A
F0XYXZePhTUwAf8AhO/F2D0/4m1x/wDF0XC4n/CLal/0Pfi7/wAG1x/8XRcLh/wi2pf9D34u
/wDBtcf/ABdFwuH/AAi2pf8AQ9+Lv/Btcf8AxdFwuH/CLal/0Pfi7/wbXH/xdFwuH/CLal/0
Pfi7/wAG1x/8XRcLh/wi2pf9D34u/wDBtcf/ABdFwuc/4vPi7wMsHiPRfFet6ja2fM9vqGoT
Sxv9VZiDTTGmfS3gbVJtc8FeH9WuwouL/T7e6kC9Azxqxx7ZNMZ5P4WXd4n8c/8AYXl/nSZL
OmnmttPspby+kWK3jGSxOKQHzn8RfjTqWq3smmeFFeJN2wSRjJemMzND+DvjvxcBe6is8cb8
qzk8/hTGdNf/ALMmtwWiyW2oGWU9U9KAOL1Pw58Rfhm32orcx2qNw4JYEUAer/C74y2fiAx6
broW3vT8quf4zSsKx6xcQ45GCDyCKQjPmTrQBUcYoAiNACUAFAASFVnc4RRlj6CgDxjxb401
nxP4k/4RzwUrFt2xpV/WmkNI6VvgXpHh7Rv7d+IXiCSNWIEmWI2se1MYknwIsNY0ZfEHw816
SVOTEAxIcjtQBh+EvGOteG/EC+HPG8TRzMcRyt3pNCaPYOMAg5DDIPtSEJQAUAFABQAUAcf8
Yv8Akmuq/wC7QgR7l8J/+SWeDf8AsC2X/ohKoo4DwZGH8T+OMnA/tiXJ9OaTEzxD9oTxvc6r
ra+G9Id9kZ2SbD980Aevfs+/Byx8PaRBrGtwJPqc6hgrjIQUxnvKIsaBUUKo4AA4FAC0AV9Q
sbXULZre9gjnhYYKuuRQB8a/tCfCWXwXqK+IvDoYWDybiq9Y2/woA9J+B3jNfF3hYQXL/wCm
Wg2vnq1JiZ29wmCaQjPlHNAFdqAG0AFAHIfFrVptF8EXNzbHEr/ux+NCBHSfsveBrPTfCcGv
XUQbU7pi5cjkCqKNT9ojxL4OtdGi0PxmlxJFcMJVWD7wx34oAt/s++JfCeoeHDo/g5Z0trMl
ik33ue5oA5n9q/whBe+GY/EVqm3UbJwdw7rQBl/DLVZda8E2V5ccy42H8Kkk6agAoAKACgAo
A4/4xf8AJNdV/wB2hAj3L4T/APJLPBv/AGBbL/0QlUUeb6RKbc/E24X70WozsPzpMTPBvgLo
/wDwmHxYF/fDzIopS7qec80xn0J8ffiunw+sYdO0xA2pSqAqj+BfWgDxmLx98WrXTYPEE0M0
mkuwIwpORQB3PjP4+32meD7X/QDb61cqP3Z6getAHDx/ED4sabZ22vXkE0ulSMCoCk5FAH0P
DcyeP/hVcS6nY+RNcW7YjYcg460AfLHwKkuNB+Kz6IxOxnZW/CgD6jv02zOPQ1JJlTDmgCo/
WgBlABQBwPx1R3+HzmNSxSUMQPShAj2H9nzVYNV+GWmSQMuUGxlHYjFUUeP/ALZXhW8uJLLx
HHzaW6eQ/sSaAND9jfwreWFhfa/OMW16gjj98GgD0L9pfVYdL+GV75pXfMdiKepJoA81+C8b
x/DqyEilWZi2D71LJZ2tABQAUAFABQBx/wAYv+Sa6r/u0IEe5fCf/klng3/sC2X/AKISqKPM
7L/jz+Kn/X/cfzpMTPL/ANj27hh8V6jBIB5sh+WmMi/a6tprX4mafqU0TNZ+UgzjgkYyKAPZ
dH+Kfg3S/hjp11eXFtKixqptBgsD9DQB88/HzWLXXPGem+I9PtmTSGjjUDbgZHWgD6Jsvil4
M0n4a6dc3txbXCLGqm0GGYH6GgDvPDHiPTvEPhH+1NMj8uyaMkLjGOKAPkLwLKk37R0skX3D
O+MfhQB9Pal/r5PqakkyJqAKb9aAGUAFAFXVbCHVNOns7hQySoVGfWgDx7wL4t1b4M+LprDU
0eTQp5M5/hAJ7VRR7l8TptK+LPw7Om+H9bs4riZ0lCyOOMdjQBN4C1HR/hR8NrfTNe1m0mub
TczLG4yc9hQB4L4w8Tar8Z/GkENpG8ehWz5GfukA0Az2ewtIrCxhtbdQscagYFSSTUAFABQA
UAFAHH/GL/kmuq/7tCBHuXwn/wCSWeDf+wLZf+iEqijz3wxb/bNT+IdoRkT6pMn5mkxM+c9A
1B/hj8aA84ZLWOf5h2Kk0xn2N4l8M6F8R/DUJvYo5opUDxyDkrmgDy20/Zi8Pw3yTyXs0kat
nyznBoA9J8Q/C7w7rPhhNFa0SOGMDYwHIPrQB5rYfsw6Bb3kc0t9NKitkxnODQB2XxS1rR/h
n8Np7W0VIPMjMMMYPO4jGcUAfPH7NWh3Gq+JrrxBOpPksTvPcmkJn0helmdjg8n0pCMuYN/d
P5UAVnVv7p/KgBmxv7p/KgA2N/dP5UAG1v7p/KgDO13QrDXbQ2+p2omX+EkdKAPNpfgmsd40
+l6xPZqTkIpPFO47joPgrG98tzqurT3oByVYnmi4XPSdG0Sx0S1FvplqIU74HWkIv7W/un8q
ADY390/lQAbG/un8qADY390/lQAbG/un8qADY390/lQBx3xjVh8NdVyD09KECPcfhP8A8ks8
G/8AYFsv/RCVRR8v6v8AFG88F/GTxXYOA2lyanIzgdQSetIVjpPix4Ps/iN4ai8QeHCj3Uab
iF6txQgON+DXxm1DwFc/2H4kSWSxRtuG+9H/APWpjPrLw/468Pa7Zxz2Wp253jOwvyKANyfU
bOCISTXUKIejFhigDz74g/GPwz4Rs3f7XHeXODiKFskHtmgD5I1vVvEfxm8aINsrWxfCov3Y
1oA9x1nV9J+D3gqGwiKPqJTovVjiluI8Tm+Ovi15GKywhSeBt6CiwWIG+Nviw9Zof++aLBYZ
/wALq8V/89of++aLBYP+F0+Kv+e0P/fNFgsH/C6fFX/PaH/vmiwWD/hdPir/AJ7Q/wDfNFgs
aOi/Ezx9rkrxaRbm7kQZZYo92KLBYdq3xJ+IGj3sVpqlsbW5lx5cckeC2TgYosFitqfxY8ba
Xdta6iq29woBMciYIB6UWCw/Ufip4501YG1CMW4nTfEXjxvX1FFgsUv+F0+Kv+e0P/fNFgsH
/C6fFX/PaH/vmiwWD/hdPir/AJ7Q/wDfNFgsH/C6fFX/AD2h/wC+aLBYP+F0+Kv+e0P/AHzR
YLB/wunxV/z2h/75osFjP8QfFPxDr2jz6bfSxm2m4YBeaLBY+7fhP/ySzwb/ANgWy/8ARCUx
nwh8df8AksHi7/sISfzoAvfCX4l3vgzUEimcy6c5wyHkKKAse4634Q8HfFXTRqGk3MNpdsNz
OCASfpSEeX3fwY8baNeN/wAI60ksRPDo2M0XC5Lc+Bfi9cwiGdrp4x0Bk/8ArU7juXfDPwD1
S/uPP8VXhtMnLbj1/E0riud7q/iTwl8JtHe00ZYZdT24yuDuNAHzF4u8S3/ijVpb7UZWZmJK
oTwo9BTGYdABQAUAFABQAUAfQX7KsnlWvi92ne2QWgzcIu5o/cUAN+Jlw83g1r6ymbWVhlUj
VLldksDAghVB7UAReC7m28feH7vWNfskuL/w3D58kpHN2vOFagDyXxr4qvfFeqm6vDthTKwQ
jpEnZRQBz1ABQAUAFABQAUAFAH6VfCf/AJJZ4N/7Atl/6ISgD5G+P/wx8VD4m6vf6Zomqapa
6jM1ykllZyTKgP8ACSoIzQB5z/wrjxx/0JviT/wVz/8AxNAGjo/hP4kaPcLLYeF/FMRU5wNN
uMfltoA9Cs/FvxrtIVii8NeItoGOdJn/APiaLCsT/wDCb/G//oWvEP8A4KZ//iaVh2MfX9X+
MmtwNFd+G/EgUjHyaVOP/ZaYHBXHgDx7cyGS48JeKJXPd9MnJ/8AQaAIv+FceOP+hN8Sf+Cu
f/4mgA/4Vx44/wChN8Sf+Cuf/wCJoAP+FceOP+hN8Sf+Cuf/AOJoAP8AhXHjj/oTfEn/AIK5
/wD4mgA/4Vx44/6E3xJ/4K5//iaAD/hXHjj/AKE3xJ/4K5//AImgA/4Vx44/6E3xJ/4K5/8A
4mgDrfh/bfFDwLPdSaL4P1//AElNkqy6TOwYfTbQA3xvZ/E7xfNG1/4O8QQxou3ybfSZ0Q+5
G3k0AVvDWj/Ezw7pmqWGm+EfESwajH5U4OlTnI/75oA53/hXHjj/AKE3xJ/4K5//AImgA/4V
x44/6E3xJ/4K5/8A4mgA/wCFceOP+hN8Sf8Agrn/APiaAD/hXHjj/oTfEn/grn/+JoAP+Fce
OP8AoTfEn/grn/8AiaAD/hXHjj/oTfEn/grn/wDiaAD/AIVx44/6E3xJ/wCCuf8A+JoA1vCv
wh8Z67rltp8/h7WdNjlODc3dhLHEn1YqAKAPvrwXpUmheDtC0id1ebT7CC0d16M0caqSPyoA
/9k=
83. Prateek Kumar Panda 1, Indar Kumar Sharawat, Trop Doct. COVID-19 and/with dengue
infection: A curse in an overburdened healthcare system 2021 Jan;51(1):106-108. doi:
10.1177/0049475520975945. Epub 2020 Dec 3.
84. Berberian B, Dengue at the beginning of the COVID-19 pandemic in Argentina, Dengue
at the beginning of the COVID-19 pandemic in Argentina.
85. Carolina P, Solveyra L, Jorge H, Gigena Z, Dengue and SARS-CoV-2 coinfection in an
HIV positive patient. Medicina (B Aires). 2020;80 Suppl 6:94-96.
86. Henning U, M Pillat , Attila T, Dengue Fever, COVID-19 (SARS-CoV-2), and Antibody-
Dependent Enhancement (ADE): A Perspective. Cytometry A. 2020 Jul;97(7):662-667.
doi: 10.1002/cyto.a.24047. Epub 2020 Jun 7.
87. Diamond MS, Pierson TC. Molecular insight into dengue virus pathogenesis and its
implications for disease control. Cell 2015;162(3):488–492.
88. Raiiq R, COVID-19 and dengue: a deadly duo, Trop Doct. 2020 Jul;50(3):270-272. doi:
10.1177/0049475520936874. Epub 2020 Jun 26.
89. Navarro H, Arrivillaga H, Salazar L, Rodriguez M, COVID-19 and dengue, co-epidemics
in Ecuador and other countries in Latin America: Pushing strained health care systems
over
the
edge.
Travel
Med
Infect
Dis.
2020
Sep-Oct;
37:101656.
doi:
10.1016/j.tmaid.2020.101656. Epub 2020 Apr 5.
Conflicto de intereses:
Los autores declaran que no existe conflicto de interés posible.
Financiamiento:
No existió asistencia financiera de partes externas al presente artículo.
Agradecimiento:
N/A
Nota:
El artículo no es producto de una publicación anterior, tesis, proyecto, etc.