ArticleEmerging infectious diseases2019
Joint Estimation of Relative Risk for Dengue and Zika Infections, Colombia, 2015-2016.
Article in Emerging infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.Journal of the Royal Society, Interface · 2021Pooled it
- 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
- Dengue, chikungunya, and Zika virus infections in Latin America and the Caribbean: a systematic review.Revista panamericana de salud publica = Pan American journal of public health · 2023Review
- 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 · 2021Observational
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We jointly estimated relative risk for dengue and Zika virus disease (Zika) in Colombia, establishing the spatial association between them at the department and city levels for October 2015-December 2016. Cases of dengue and Zika were allocated to the 87 municipalities of 1 department and the 293 census sections of 1 city in Colombia. We fitted 8 hierarchical Bayesian Poisson joint models of relative risk for dengue and Zika, including area- and disease-specific random effects accounting for several spatial patterns of disease risk (clustered or uncorrelated heterogeneity) within and between both diseases. Most of the dengue and Zika high-risk municipalities varied in their risk distribution; those for Zika were in the northern part of the department and dengue in the southern to northeastern parts. At city level, spatially clustered patterns of dengue high-risk census sections indicated Zika high-risk areas. This information can be used to inform public health decision making.
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