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 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.
Translated title of the contribution | Aplicación del algoritmo de vigilancia para el virus Zika en Bogotá yCali (Colombia), 2015-2017 |
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Original language | English |
Number of pages | 11 |
Journal | Universitas Medica |
Volume | 63 |
Issue number | 2 |
DOIs | |
State | Published - 22 Aug 2022 |