ArticleScientific reports2020
Epidemiological study on dengue in southern Brazil under the perspective of climate and poverty.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.
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Who cites it
27 citing papers in PubMed, 2 syntheses or guidelines 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
- [Relationship between air temperature and dengue incidence: time series study in Minas Gerais, Brazil (2010-2019)].Cadernos de saude publica · 2024Pooled it
- Assessing the association between floods and dengue incidence in Vietnam: A time series study.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Article
- Diagnostic Techniques for Dengue Virus.Current topics in microbiology and immunology · 2026Review
- Understanding the social determinants of Aedes-borne diseases in Iran: A qualitative exploration of challenges and policy solutions.PLoS neglected tropical diseases · 2025Article
- Designing a multidimensional vulnerability index for supervising dengue cases from 2015 to 2020 in a low/middle-income country: A spatial principal component analysis.PLoS neglected tropical diseases · 2025Observational
- Introduction, establishment, and distribution ofLancet regional health. Americas · 2025Article
- A novel approach to quantify the optimal range and causal effect of rainfall on vector-borne diseases: a case study of dengue epidemics.Journal of the Royal Society, Interface · 2025Article
- Article
- Epidemiological and Geographical Factors Associated with Dengue in Bangladesh: A Multicenter Study of the 2023 Dengue Epidemic.The American journal of tropical medicine and hygiene · 2025Article
- ARBOALVO: A Bayesian spatiotemporal learning and predictive model for dengue cases in the endemic Northeast city of Natal, Rio Grande do Norte, Brazil.PLoS neglected tropical diseases · 2025Article
- Understanding Dengue Underreporting: An Analysis of the Impacts for the World, Latin America and Brazil.TheScientificWorldJournal · 2025Review
- "Dengue fever is not just urban or rural: Reframing its spatial categorization."Social science & medicine (1982) · 2024Article
- Spatial and temporal trends of dengue infections in Curaçao: A 21-year analysis.Parasite epidemiology and control · 2024Article
- Climate change impacts on dengue transmission areas in Espírito Santo state, Brazil.Oxford open immunology · 2024Article
- Viremia and Inflammatory Cytokines in Dengue: Interleukin-2 as a Biomarker of Infection, and Interferon-α and -γ as Markers of Primary versus Secondary Infection.Pathogens (Basel, Switzerland) · 2023Article
- Socio-economic factors and its influence on the association between temperature and dengue incidence in 61 Provinces of the Philippines, 2010-2019.PLoS neglected tropical diseases · 2023Observational
- Spatiotemporal Drivers of the African Swine Fever Epidemic in Lao PDR.Transboundary and emerging diseases · 2023Article
- Estimating the effect of the wMel release programme on the incidence of dengue and chikungunya in Rio de Janeiro, Brazil: a spatiotemporal modelling study.The Lancet. Infectious diseases · 2022Article
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14 authors.
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Abstract
Social and epidemiological aspects of dengue were evaluated in an important metropolitan area in southern Brazil, from August 2012 to September 2014. Demographic, clinical, serological data were collected from patients with acute dengue symptoms treated at public health system units (HSUs). A systematic approach to analyze the spatial and temporal distribution of cases was developed, considering the temporal cross-correlation between dengue and weather, and the spatial correlation between dengue and income over the city's census tracts. From the 878 patients with suggestive symptoms, 249 were diagnosed as positive dengue infection (28%). Considering the most statistically significant census tracts, a negative correlation was found between mean income and dengue (r = -0.65; p = 0.02; 95% CI: -0.03 to -0.91). The occurrence of dengue followed a seasonal distribution, and it was found to be three and four months delayed in relation to precipitation and temperature, respectively. Unexpectedly, the occurrence of symptomatic patients without dengue infection followed the same seasonal distribution, however its spatial distribution did not correlate with income. Through this methodology, we have found evidence that suggests a relation between dengue and poverty, which enriches the debate in the literature and sheds light on an extremely relevant socioeconomic and public health issue.
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