Application of the Surveillance Algorithmfor Zika Virus in Bogota and Cali –Colombia, 2015-2017

Karen Sarmiento Acuña; Lina María  Ibáñez-Correa; Gabriela  Botta Méndez; Gloria Milena  Gracia Charry; Jorge Alirio Holguín Ruiz; Ignacio Manuel Zarante Montoya; Paula Margarita  Hurtado-Villa

doi:10.11144/Javeriana.umed63-2.zika

Application of the Surveillance Algorithmfor Zika Virus in Bogota and Cali –Colombia, 2015-2017

Título traducido de la contribución: Aplicación del algoritmo de vigilancia para el virus Zika en Bogotá yCali (Colombia), 2015-2017

Karen Sarmiento Acuña, Lina María Ibáñez-Correa, Gabriela Botta Méndez, Gloria Milena Gracia Charry, Jorge Alirio Holguín Ruiz, Ignacio Manuel Zarante Montoya, Paula Margarita Hurtado-Villa

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Resumen

Objetivo: Evaluar la aplicación del algoritmo de vigilancia para Zika del Instituto Nacional de Salud de Colombia en recién nacidos y gestantes desde octubre de 2015 a junio de 2017 en Bogotá y Cali (Colombia). Métodos: Estudio descriptivo. Los datos se obtuvieron de fichas del Sistema Nacional de Vigilancia en Salud Pública y los Programas de Vigilancia y Seguimiento de Niños con Defectos Congénitos de Bogotá y Cali. Se calculó frecuencia de sexo, afiliación al sistema de salud y de defectos congénitos de los recién nacidos (RN); además, el cumplimiento del algoritmo y su diagnóstico presuntivo. Resultados: Se obtuvieron un total de 597 registros. El 49,9 % de los RN fueron de sexo masculino y el 79 % presentaron anomalías del sistema nervioso central (SNC), microcefalia (29 %) e hidrocefalia (20 %). De las gestantes con información, se reportó Zika positivo en el 16 %; toxoplasmosis, en el 4 %, y citomegalovirus y sífilis, cada una con un 2 %. De RN con exámenes, las anomalías del SNC se detectaron con ecografía cerebral (39 %), resonancia magnética (38 %) y tomografía axial computarizada (35 %). Conclusiones: El INS generó un algoritmo ajustado a los parámetros internacionales de vigilancia que permite identificar de forma temprana posibles complicaciones, por lo que su incorporación total debe servir para reducir discapacidad y mortalidad. La evaluación de la aplicación de este protocolo, debido a las múltiples fuentes de información, dificulta sacar conclusiones definitivas, dado el contexto del sistema de salud colombiano.

Título traducido de la contribución	Aplicación del algoritmo de vigilancia para el virus Zika en Bogotá yCali (Colombia), 2015-2017
Idioma original	Inglés
Número de páginas	11
Publicación	Universitas Medica
Volumen	63
N.º	2
DOI	https://doi.org/10.11144/Javeriana.umed63-2.zika
Estado	Publicada - 22 ago. 2022

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@article{48109bd06448482ba233d99ff574e838,

title = "Application of the Surveillance Algorithmfor Zika Virus in Bogota and Cali –Colombia, 2015-2017",

abstract = "Objective: To evaluate the application of the Surveillance algorithmfor Zika of the National Institute of Health of Colombia, in newbornsand pregnant women from October 2015 to June 2017 in Bogot{\'a} andCali, Colombia. Methods: Descriptive study. The data were obtainedfrom files of the National Public Health Surveillance System andthe Surveillance and Follow-up Programs for children with CongenitalDefects of Bogot{\'a} and Cali. Frequency of sex, affiliation to the healthsystem and frequency of congenital defects were calculated. Compliancewith the studies proposed by the algorithm and its presumptive diagnosiswere analyzed. Results: A total of 597 records were obtained. 49.9%were male and 79% had central nervous system (CNS) abnormalities,with microcephaly (29%) and hydrocephalus (20%). Ofthe pregnant women with information, Zika was positivein 16%, toxoplasmosis 4%, and CMV and syphilis eachin 2%. Of the newborns, abnormalities of CNS weredetected with brain ultrasound (39%), magnetic resonanceimaging (38%) and computerized axial tomography(35%). Conclusions: The INS generated an algorithmadjusted to international surveillance parameters thatallows early identification of possible complications, so itsfull incorporation should serve to reduce disability andmortality. The evaluation of the application of this protocoldue to the multiple sources of information makes it difficultto draw definitive conclusions given the context of theColombian health system.",

author = "Acu{\~n}a, {Karen Sarmiento} and Ib{\'a}{\~n}ez-Correa, {Lina Mar{\'i}a} and {Botta M{\'e}ndez}, Gabriela and {Gracia Charry}, {Gloria Milena} and {Holgu{\'i}n Ruiz}, {Jorge Alirio} and {Zarante Montoya}, {Ignacio Manuel} and Hurtado-Villa, {Paula Margarita}",

year = "2022",

month = aug,

day = "22",

doi = "10.11144/Javeriana.umed63-2.zika",

language = "English",

volume = "63",

journal = "Universitas Medica",

issn = "0041-9095",

publisher = "Pontificia Universidad Javeriana",

number = "2",

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T1 - Application of the Surveillance Algorithmfor Zika Virus in Bogota and Cali –Colombia, 2015-2017

AU - Acuña, Karen Sarmiento

AU - Ibáñez-Correa, Lina María

AU - Botta Méndez, Gabriela

AU - Gracia Charry, Gloria Milena

AU - Holguín Ruiz, Jorge Alirio

AU - Zarante Montoya, Ignacio Manuel

AU - Hurtado-Villa, Paula Margarita

PY - 2022/8/22

Y1 - 2022/8/22

N2 - Objective: To evaluate the application of the Surveillance algorithmfor Zika of the National Institute of Health of Colombia, in newbornsand pregnant women from October 2015 to June 2017 in Bogotá andCali, Colombia. Methods: Descriptive study. The data were obtainedfrom files of the National Public Health Surveillance System andthe Surveillance and Follow-up Programs for children with CongenitalDefects of Bogotá and Cali. Frequency of sex, affiliation to the healthsystem and frequency of congenital defects were calculated. Compliancewith the studies proposed by the algorithm and its presumptive diagnosiswere analyzed. Results: A total of 597 records were obtained. 49.9%were male and 79% had central nervous system (CNS) abnormalities,with microcephaly (29%) and hydrocephalus (20%). Ofthe pregnant women with information, Zika was positivein 16%, toxoplasmosis 4%, and CMV and syphilis eachin 2%. Of the newborns, abnormalities of CNS weredetected with brain ultrasound (39%), magnetic resonanceimaging (38%) and computerized axial tomography(35%). Conclusions: The INS generated an algorithmadjusted to international surveillance parameters thatallows early identification of possible complications, so itsfull incorporation should serve to reduce disability andmortality. The evaluation of the application of this protocoldue to the multiple sources of information makes it difficultto draw definitive conclusions given the context of theColombian health system.

AB - Objective: To evaluate the application of the Surveillance algorithmfor Zika of the National Institute of Health of Colombia, in newbornsand pregnant women from October 2015 to June 2017 in Bogotá andCali, Colombia. Methods: Descriptive study. The data were obtainedfrom files of the National Public Health Surveillance System andthe Surveillance and Follow-up Programs for children with CongenitalDefects of Bogotá and Cali. Frequency of sex, affiliation to the healthsystem and frequency of congenital defects were calculated. Compliancewith the studies proposed by the algorithm and its presumptive diagnosiswere analyzed. Results: A total of 597 records were obtained. 49.9%were male and 79% had central nervous system (CNS) abnormalities,with microcephaly (29%) and hydrocephalus (20%). Ofthe pregnant women with information, Zika was positivein 16%, toxoplasmosis 4%, and CMV and syphilis eachin 2%. Of the newborns, abnormalities of CNS weredetected with brain ultrasound (39%), magnetic resonanceimaging (38%) and computerized axial tomography(35%). Conclusions: The INS generated an algorithmadjusted to international surveillance parameters thatallows early identification of possible complications, so itsfull incorporation should serve to reduce disability andmortality. The evaluation of the application of this protocoldue to the multiple sources of information makes it difficultto draw definitive conclusions given the context of theColombian health system.

UR - https://doi.org/10.11144/Javeriana.umed63-2.zika

U2 - 10.11144/Javeriana.umed63-2.zika

DO - 10.11144/Javeriana.umed63-2.zika

M3 - Article

SN - 0041-9095

VL - 63

JO - Universitas Medica

JF - Universitas Medica

IS - 2

ER -

Application of the Surveillance Algorithmfor Zika Virus in Bogota and Cali –Colombia, 2015-2017

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