Assessing the reporting of Dengue, Chikungunya and Zika to the National Surveillance System in Colombia from 2014-2017: A Capture-recapture analysis accounting for misclassification of arboviral diagnostics.

<h4>Background</h4>Chikungunya, dengue, and Zika are three different arboviruses which have similar symptoms and are a major public health issue in Colombia. Despite the mandatory reporting of these arboviruses to the National Surveillance System in Colombia (SIVIGILA), it has been repor...

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Main Authors: Mabel Carabali, Gloria I Jaramillo-Ramirez, Vivian A Rivera, Neila-Julieth Mina Possu, Berta N Restrepo, Kate Zinszer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-02-01
Series:PLoS Neglected Tropical Diseases
Online Access:https://doi.org/10.1371/journal.pntd.0009014
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spelling doaj-79ba6276222c44fab557c52b4f4b11d12021-06-24T04:32:32ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352021-02-01152e000901410.1371/journal.pntd.0009014Assessing the reporting of Dengue, Chikungunya and Zika to the National Surveillance System in Colombia from 2014-2017: A Capture-recapture analysis accounting for misclassification of arboviral diagnostics.Mabel CarabaliGloria I Jaramillo-RamirezVivian A RiveraNeila-Julieth Mina PossuBerta N RestrepoKate Zinszer<h4>Background</h4>Chikungunya, dengue, and Zika are three different arboviruses which have similar symptoms and are a major public health issue in Colombia. Despite the mandatory reporting of these arboviruses to the National Surveillance System in Colombia (SIVIGILA), it has been reported that the system captures less than 10% of diagnosed cases in some cities.<h4>Methodology/principal findings</h4>To assess the scope and degree of arboviruses reporting in Colombia between 2014-2017, we conducted an observational study of surveillance data using the capture-recapture approach in three Colombian cities. Using healthcare facility registries (capture data) and surveillance-notified cases (recapture data), we estimated the degree of reporting by clinical diagnosis. We fit robust Poisson regressions to identify predictors of reporting and estimated the predicted probability of reporting by disease and year. To account for the potential misclassification of the clinical diagnosis, we used the simulation extrapolation for misclassification (MC-SIMEX) method. A total of 266,549 registries were examined. Overall arboviruses' reporting ranged from 5.3% to 14.7% and varied in magnitude according to age and year of diagnosis. Dengue was the most notified disease (21-70%) followed by Zika (6-45%). The highest reporting rate was seen in 2016, an epidemic year. The MC-SIMEX corrected rates indicated underestimation of the reporting due to the potential misclassification bias.<h4>Conclusions</h4>These findings reflect challenges on arboviruses' reporting, and therefore, potential challenges on the estimation of arboviral burden in Colombia and other endemic settings with similar surveillance systems.https://doi.org/10.1371/journal.pntd.0009014
collection DOAJ
language English
format Article
sources DOAJ
author Mabel Carabali
Gloria I Jaramillo-Ramirez
Vivian A Rivera
Neila-Julieth Mina Possu
Berta N Restrepo
Kate Zinszer
spellingShingle Mabel Carabali
Gloria I Jaramillo-Ramirez
Vivian A Rivera
Neila-Julieth Mina Possu
Berta N Restrepo
Kate Zinszer
Assessing the reporting of Dengue, Chikungunya and Zika to the National Surveillance System in Colombia from 2014-2017: A Capture-recapture analysis accounting for misclassification of arboviral diagnostics.
PLoS Neglected Tropical Diseases
author_facet Mabel Carabali
Gloria I Jaramillo-Ramirez
Vivian A Rivera
Neila-Julieth Mina Possu
Berta N Restrepo
Kate Zinszer
author_sort Mabel Carabali
title Assessing the reporting of Dengue, Chikungunya and Zika to the National Surveillance System in Colombia from 2014-2017: A Capture-recapture analysis accounting for misclassification of arboviral diagnostics.
title_short Assessing the reporting of Dengue, Chikungunya and Zika to the National Surveillance System in Colombia from 2014-2017: A Capture-recapture analysis accounting for misclassification of arboviral diagnostics.
title_full Assessing the reporting of Dengue, Chikungunya and Zika to the National Surveillance System in Colombia from 2014-2017: A Capture-recapture analysis accounting for misclassification of arboviral diagnostics.
title_fullStr Assessing the reporting of Dengue, Chikungunya and Zika to the National Surveillance System in Colombia from 2014-2017: A Capture-recapture analysis accounting for misclassification of arboviral diagnostics.
title_full_unstemmed Assessing the reporting of Dengue, Chikungunya and Zika to the National Surveillance System in Colombia from 2014-2017: A Capture-recapture analysis accounting for misclassification of arboviral diagnostics.
title_sort assessing the reporting of dengue, chikungunya and zika to the national surveillance system in colombia from 2014-2017: a capture-recapture analysis accounting for misclassification of arboviral diagnostics.
publisher Public Library of Science (PLoS)
series PLoS Neglected Tropical Diseases
issn 1935-2727
1935-2735
publishDate 2021-02-01
description <h4>Background</h4>Chikungunya, dengue, and Zika are three different arboviruses which have similar symptoms and are a major public health issue in Colombia. Despite the mandatory reporting of these arboviruses to the National Surveillance System in Colombia (SIVIGILA), it has been reported that the system captures less than 10% of diagnosed cases in some cities.<h4>Methodology/principal findings</h4>To assess the scope and degree of arboviruses reporting in Colombia between 2014-2017, we conducted an observational study of surveillance data using the capture-recapture approach in three Colombian cities. Using healthcare facility registries (capture data) and surveillance-notified cases (recapture data), we estimated the degree of reporting by clinical diagnosis. We fit robust Poisson regressions to identify predictors of reporting and estimated the predicted probability of reporting by disease and year. To account for the potential misclassification of the clinical diagnosis, we used the simulation extrapolation for misclassification (MC-SIMEX) method. A total of 266,549 registries were examined. Overall arboviruses' reporting ranged from 5.3% to 14.7% and varied in magnitude according to age and year of diagnosis. Dengue was the most notified disease (21-70%) followed by Zika (6-45%). The highest reporting rate was seen in 2016, an epidemic year. The MC-SIMEX corrected rates indicated underestimation of the reporting due to the potential misclassification bias.<h4>Conclusions</h4>These findings reflect challenges on arboviruses' reporting, and therefore, potential challenges on the estimation of arboviral burden in Colombia and other endemic settings with similar surveillance systems.
url https://doi.org/10.1371/journal.pntd.0009014
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