ArticleBMC infectious diseases2018
Surveillance on the endemic of Zika virus infection by meteorological factors in Colombia: a population-based spatial and temporal study.
Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Electronic data collection, management and analysis tools used for outbreak response in low- and middle-income countries: a systematic review and stakeholder survey.BMC public health · 2021Pooled it
- Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.Journal of the Royal Society, Interface · 2021Pooled it
- Factors associated with infection and hospitalization of Zika cases during the 2016-2018 outbreak in Mexico.Scientific reports · 2025Article
- Zika emergence, persistence, and transmission rate in Colombia: a nationwide application of a space-time Markov switching model.Scientific reports · 2024Article
- Mapping the risk of respiratory infections using suburban district areas in a large city in Colombia.BMC public health · 2023Article
- Positivity of dengue, chikungunya, and Zika infections in women in Northeast Brazil post-Zika epidemic.Pathogens and global health · 2023Article
- Lagged meteorological impacts on COVID-19 incidence among high-risk counties in the United States-a spatiotemporal analysis.Journal of exposure science & environmental epidemiology · 2022Article
- Association between climate variables and pulmonary tuberculosis incidence in Brunei Darussalam.Scientific reports · 2022Article
- Scoping future outbreaks: a scoping review on the outbreak prediction of the WHO Blueprint list of priority diseases.BMJ global health · 2021Article
- Early warning systems (EWSs) for chikungunya, dengue, malaria, yellow fever, and Zika outbreaks: What is the evidence? A scoping review.PLoS neglected tropical diseases · 2021Article
- Identifying high risk areas of Zika virus infection by meteorological factors in Colombia.BMC infectious diseases · 2019Article
- Joint Estimation of Relative Risk for Dengue and Zika Infections, Colombia, 2015-2016.Emerging infectious diseases · 2019Article
- Spatio-Temporal Modeling of Zika and Dengue Infections within Colombia.International journal of environmental research and public health · 2018Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundZika virus (ZIKV) infection is a pandemic and a public health emergency. It is transmitted by mosquitoes, primarily the Aedes genus. In light of no treatment currently, it is crucial to develop effective vector control programs to prevent the spread of ZIKV infection earlier when observing possible risk factors, such as weather conditions enhancing mosquito breeding and surviving.
methodsThis study collected daily meteorological measurements and weekly ZIKV infectious cases among 32 departments of Colombia from January 2015-December 2016. This study applied the distributed lag nonlinear model to estimate the association between the number of ZIKA virus infection and meteorological measurements, controlling for spatial and temporal variations. We examined at most three meteorological factors with 20 lags in weeks in the model.
resultsAverage humidity, total rainfall, and maximum temperature were more predictable of ZIKV infection outbreaks than other meteorological factors. Our models can detect significantly lagged effects of average humidity, total rainfall, and maximum temperature on outbreaks up to 15, 14, and 20 weeks, respectively. The spatial analysis identified 12 departments with a significant threat of ZIKV, and eight of those high-risk departments were located between the Equator and 6°N. The outbreak prediction also performed well in identified high-risk departments.
conclusionOur results demonstrate that meteorological factors could be used for predicting ZIKV epidemics. Building an early warning surveillance system is important for preventing ZIKV infection, particularly in endemic areas.
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