Observational studyPLoS neglected tropical diseases2021
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.
Observational study in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Epidemiological Impact of Dengue in Colombia: A Systematic Review.The American journal of tropical medicine and hygiene · 2025Pooled it
- Pooled it
- Advances in mosquito-borne disease surveillance using machine learning.New microbes and new infections · 2026Article
- The impact of elevation and population density on dengue incidence and force of infection across the Philippines: Implications for climate-adapted surveillance.PLoS neglected tropical diseases · 2026Article
- Utility of sentinel surveillance as an early warning system for emerging pathogens in a low-resource setting: Correlations of dengue, chikungunya, Zika, and COVID-19 trends between sentinel and passive surveillance systems in Puerto Rico, 2012-2023.PLOS global public health · 2026Article
- Anthropogenic landscapes and vector-borne disease dynamics: Unveiling the complex interplay between Human Footprint and disease transmission in Colombia.PLOS global public health · 2026Article
- Effect of sea surface temperature in El Niño regions on dengue dynamics in Colombia: Evidence from causal machine learning.PLOS global public health · 2026Article
- How to conduct an individual participant data meta-analysis in response to an emerging pathogen: Lessons learned from Zika and COVID-19.Research synthesis methods · 2026Review
- Spatio-temporal analysis of the distribution and co-circulation of dengue, chikungunya, and Zika in Medellín, Colombia, from 2013 to 2021.PLoS neglected tropical diseases · 2025Article
- A nationwide joint spatial modelling of simultaneous epidemics of dengue, chikungunya, and Zika in Colombia.BMC infectious diseases · 2025Article
- Understanding Dengue Underreporting: An Analysis of the Impacts for the World, Latin America and Brazil.TheScientificWorldJournal · 2025Review
- Modeling the 2014-2015 Vesicular Stomatitis Outbreak in the United States Using an SEIR-SEI Approach.Viruses · 2024Article
- Zika emergence, persistence, and transmission rate in Colombia: a nationwide application of a space-time Markov switching model.Scientific reports · 2024Article
- Age-specific case data reveal varying dengue transmission intensity in US states and territories.PLoS neglected tropical diseases · 2024Article
- Article
- The Burden of Arboviral Infections in the Military Health System 2012-2019.The American journal of tropical medicine and hygiene · 2023Article
- Identification of Hazard and Socio-Demographic Patterns of Dengue Infections in a Colombian Subtropical Region from 2015 to 2020: Cox Regression Models and Statistical Analysis.Tropical medicine and infectious disease · 2022Article
- The Influence of Anthropogenic and Environmental Disturbances on Parameter Estimation of a Dengue Transmission Model.Tropical medicine and infectious disease · 2022Article
- A Chikungunya Outbreak in a Dengue-endemic Region in Rural Northern Coastal Ecuador.The American journal of tropical medicine and hygiene · 2022Article
- Arbovirus Antibody Seroprevalence in the Human Population from Cauca, Colombia.The American journal of tropical medicine and hygiene · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundChikungunya, 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
findingsTo 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.
conclusionsThese 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.
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Registered trials
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