ArticleEpidemiology and infection2021
Spatial analysis of the incidence of Dengue, Zika and Chikungunya and socioeconomic determinants in the city of Rio de Janeiro, Brazil.
Article in Epidemiology and infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Beyond the Mosquito: Social Determinants of Health and Global Strategies for Aedes-Borne Disease Control.Tropical medicine & international health : TM & IH · 2026Pooled it
- Mutations in the NS5 RdRp Domain of Zika and Dengue Viruses: Insights into Molecular Patterns in Inland Midwestern Brazil.Tropical medicine and infectious disease · 2026Article
- Global and regional burden of chikungunya from 2004 to 2024: a worldwide observational study.Journal of global health · 2026Observational
- Understanding the social determinants of Aedes-borne diseases in Iran: A qualitative exploration of challenges and policy solutions.PLoS neglected tropical diseases · 2025Article
- Mapping the risk of Zika virus infections in pregnant persons and microcephaly in newborns in relation to socioeconomic indicators in Recife, Pernambuco, Brazil: A spatial analysis (2015 to 2021).PLoS neglected tropical diseases · 2025Article
- The 2023 dengue fatality in Bangladesh: Spatial and demographic insights.IJID regions · 2025Article
- Chikungunya clusters in the state of Bahia: influence of environmental and social factors.Revista da Sociedade Brasileira de Medicina Tropical · 2025Article
- Geospatial clustering reveals dengue hotspots across Brazilian municipalities, 2024.Frontiers in public health · 2025Article
- Spatial and Temporal Dynamics of Chikungunya Incidence in Brazil and the Impact of Social Vulnerability: A Population-Based and Ecological Study.Diseases (Basel, Switzerland) · 2024Article
- Exploring Dengue Dynamics: A Multi-Scale Analysis of Spatio-Temporal Trends in Ibagué, Colombia.Viruses · 2024Article
- Space-time dispersion of dengue occurrence in epidemic and non-epidemic years in a municipality in the metropolitan region of Belo Horizonte, MG, 2011 to 2017.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024Article
- Zika, chikungunya and co-occurrence in Brazil: space-time clusters and associated environmental-socioeconomic factors.Scientific reports · 2023Article
- Spatial analysis of Chikungunya fever incidence and the associated socioeconomic, demographic, and vector infestation factors in municipalities of Pernambuco, Brazil, 2015-2021.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023Article
- Socioeconomic disparities associated with symptomatic Zika virus infections in pregnancy and congenital microcephaly: A spatiotemporal analysis from Goiânia, Brazil (2016 to 2020).PLoS neglected tropical diseases · 2022Article
- Was It Chikungunya? Laboratorial and Clinical Investigations of Cases Occurred during a Triple Arboviruses' Outbreak in Rio de Janeiro, Brazil.Pathogens (Basel, Switzerland) · 2022Article
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2 authors.
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Abstract
In 2015-2016, simultaneous circulation of dengue, Zika and chikungunya in the municipality of Rio de Janeiro (Brazil) was reported. We conducted an ecological study to analyse the spatial distribution of dengue, Zika and chikungunya cases and to investigate socioeconomic factors associated with individual and combined disease incidence in 2015-2016. We then constructed thematic maps and analysed the bivariate global Moran indices. Classical and spatial models were used. A distinct spatial distribution pattern for dengue, Zika and chikungunya was identified in the municipality of Rio de Janeiro. The bivariate global Moran indices (P < 0.05) revealed negative spatial correlations between rates of dengue, Zika, chikungunya and combined arboviruses incidence and social development index and mean income. The regression models (P < 0.05) identified a negative relationship between mean income and each of these rates and between sewage and Zika incidence rates, as well as a positive relationship between urban areas and chikungunya incidence rates. In our study, spatial analysis techniques helped to identify high-risk and social determinants at the local level for the three arboviruses. Our findings may aid in backing effective interventions for the prevention and control of epidemics of these diseases.
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