ArticlePLoS neglected tropical diseases2022
Spatio-temporal clusters and patterns of spread of dengue, chikungunya, and Zika in Colombia.
Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Joint Spatial and Spatiotemporal Models in Health Research.International journal of environmental research and public health · 2023Pooled it
- Spatial, temporal, and spatiotemporal analysis of pertussis in Shapingba District, China, 2014-2024.BMC infectious diseases · 2026Article
- Gaussian process emulation for exploring complex infectious disease models.PLoS computational biology · 2025Article
- Outbreaks and incidence of vector-borne diseases in Colombia (2007-2024): Impact of climate change and deforestationBiomedica : revista del Instituto Nacional de Salud · 2025Article
- Modeling Outbreak Prediction and the Impact of Emergency Vaccination on the 2024-2025 Chikungunya Outbreak in La Réunion.Vaccines · 2025Article
- 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
- Gaussian Process Emulation for Exploring Complex Infectious Disease Models.medRxiv : the preprint server for health sciences · 2025Article
- A nationwide joint spatial modelling of simultaneous epidemics of dengue, chikungunya, and Zika in Colombia.BMC infectious diseases · 2025Article
- Comparative analysis of epidemiological and Spatiotemporal patterns in seasonal influenza and COVID-19 outbreaks.Scientific reports · 2025Article
- The effects of seasonal human mobility and Aedes aegypti habitat suitability on Zika virus epidemic severity in Colombia.PLoS neglected tropical diseases · 2024Article
- Zika emergence, persistence, and transmission rate in Colombia: a nationwide application of a space-time Markov switching model.Scientific reports · 2024Article
- Zika, chikungunya and co-occurrence in Brazil: space-time clusters and associated environmental-socioeconomic factors.Scientific reports · 2023Article
- The contribution of risk perception and social norms to reported preventive behaviour against selected vector-borne diseases in Guyana.Scientific reports · 2023Article
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7 authors.
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Abstract
backgroundColombia has one of the highest burdens of arboviruses in South America. The country was in a state of hyperendemicity between 2014 and 2016, with co-circulation of several Aedes-borne viruses, including a syndemic of dengue, chikungunya, and Zika in 2015. METHODOLOGY/PRINCIPAL
findingsWe analyzed the cases of dengue, chikungunya, and Zika notified in Colombia from January 2014 to December 2018 by municipality and week. The trajectory and velocity of spread was studied using trend surface analysis, and spatio-temporal high-risk clusters for each disease in separate and for the three diseases simultaneously (multivariate) were identified using Kulldorff's scan statistics. During the study period, there were 366,628, 77,345 and 74,793 cases of dengue, chikungunya, and Zika, respectively, in Colombia. The spread patterns for chikungunya and Zika were similar, although Zika's spread was accelerated. Both chikungunya and Zika mainly spread from the regions on the Atlantic coast and the south-west to the rest of the country. We identified 21, 16, and 13 spatio-temporal clusters of dengue, chikungunya and Zika, respectively, and, from the multivariate analysis, 20 spatio-temporal clusters, among which 7 were simultaneous for the three diseases. For all disease-specific analyses and the multivariate analysis, the most-likely cluster was identified in the south-western region of Colombia, including the Valle del Cauca department. CONCLUSIONS/SIGNIFICANCE: The results further our understanding of emerging Aedes-borne diseases in Colombia by providing useful evidence on their potential site of entry and spread trajectory within the country, and identifying spatio-temporal disease-specific and multivariate high-risk clusters of dengue, chikungunya, and Zika, information that can be used to target interventions.
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