In:
PLOS Neglected Tropical Diseases, Public Library of Science (PLoS), Vol. 15, No. 2 ( 2021-2-4), p. e0009014-
Abstract:
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. Methodology/Principal findings 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. Conclusions 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.
Type of Medium:
Online Resource
ISSN:
1935-2735
DOI:
10.1371/journal.pntd.0009014
DOI:
10.1371/journal.pntd.0009014.g001
DOI:
10.1371/journal.pntd.0009014.g002
DOI:
10.1371/journal.pntd.0009014.g003
DOI:
10.1371/journal.pntd.0009014.t001
DOI:
10.1371/journal.pntd.0009014.t002
DOI:
10.1371/journal.pntd.0009014.t003
DOI:
10.1371/journal.pntd.0009014.s001
DOI:
10.1371/journal.pntd.0009014.s002
DOI:
10.1371/journal.pntd.0009014.s003
DOI:
10.1371/journal.pntd.0009014.s004
DOI:
10.1371/journal.pntd.0009014.s005
DOI:
10.1371/journal.pntd.0009014.s006
DOI:
10.1371/journal.pntd.0009014.s007
DOI:
10.1371/journal.pntd.0009014.r001
DOI:
10.1371/journal.pntd.0009014.r002
DOI:
10.1371/journal.pntd.0009014.r003
DOI:
10.1371/journal.pntd.0009014.r004
DOI:
10.1371/journal.pntd.0009014.r005
DOI:
10.1371/journal.pntd.0009014.r006
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2429704-5
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