ArticleBMC public health2021
Association between socio-environmental factors, coverage by family health teams, and rainfall in the spatial distribution of Zika virus infection in the city of Rio de Janeiro, Brazil, in 2015 and 2016.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Geospatial epidemiological approaches to the prevention and control of vector-borne diseases: A systematic review.Infectious diseases & immunity · 2026Review
- Bibliometric Analysis of the Evolution and Distribution of Research on Analytical Methods for Climate-Sensitive Infectious Diseases in Latin America and the Caribbean.International journal of environmental research and public health · 2025Review
- Social determinants impact both viral infections and brain development.Pediatric research · 2025Review
- A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects.Statistical methods in medical research · 2025Article
- Risk factors and clinical significance of post-stroke incident ischemic lesions.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Zika, chikungunya and co-occurrence in Brazil: space-time clusters and associated environmental-socioeconomic factors.Scientific reports · 2023Article
- Democratizing Public Health: Participatory Policymaking Institutions, Mosquito Control, and Zika in the Americas.Tropical medicine and infectious disease · 2023Article
- Socioeconomic risk markers of congenital Zika syndrome: a nationwide, registry-based study in Brazil.BMJ global health · 2022Article
- Using machine learning to understand microgeographic determinants of the Zika vector, Aedes aegypti.PloS one · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundZika virus (ZIKV) infection caused outbreak in Brazil, in 2015 and 2016. Disorganized urban growth, facilitates the concentration of numerous susceptible and infected individuals. It is useful to understand the mechanisms that can favor the increase in ZIKV incidence, such as areas with wide socioeconomic and environmental diversity. Therefore, the study analyzed the spatial distribution of ZIKV in the city of Rio de Janeiro, Brazil, in 2015 and 2016, and associations between the incidence per 1000 inhabitants and socio-environmental factors.
methodsThe census tracts were used as the analytical units reported ZIKV cases among the city's inhabitants. Local Empirical Bayesian method was used to control the incidence rates' instability effect. The spatial autocorrelation was verified with Moran's Index and local indicators of spatial association (LISA). Spearman correlation matrix was used to indicate possible collinearity. The Ordinary Least Squares (OLS), Spatial Lag Model (SAR), and Spatial Error Model (CAR) were used to analyze the relationship between ZIKV and socio-environmental factors.
resultsThe SAR model exhibited the best parameters: R
conclusionThe results demonstrate the importance of socio-environmental variables in the dynamics of ZIKV transmission and the relevance for the development of control strategies.
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