ArticlePLoS neglected tropical diseases2019
Spatio-temporal dynamics of dengue in Brazil: Seasonal travelling waves and determinants of regional synchrony.
Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Expansion of Dengue Virus Serotype 3 Genetic Diversity and Changing Serotype Composition in Brazil.Pathogens (Basel, Switzerland) · 2026Article
- Dengue transmission heterogeneity across Indonesia's archipelago: Climate-driven spatiotemporal patterns and policy implications.PLoS neglected tropical diseases · 2026Article
- Variations in annual dengue intensities are explained by temperature anomalies.medRxiv : the preprint server for health sciences · 2025Article
- Multi-model approach to understand and predict past and future dengue epidemic dynamics.Royal Society open science · 2025Article
- Exploring the challenge of diagnosing and tracking Oropouche virus during Brazil's largest recorded dengue epidemic in 2024.Virology journal · 2025Article
- Hospitalisations in Brazil: an ecological time series analysis of the impact of medical decision support data as an exogenous variable.BMC public health · 2025Article
- Pre- and post-COVID-19 pandemic identification of dengue hotspots and exploration of population and environmental determinants of dengue in Quezon City, Philippines.Tropical medicine and health · 2025Article
- The spatial distribution of pertussis, but not measles or smallpox, in pre-industrial Finland matches dialects.iScience · 2025Article
- Unraveling regional variability in Dengue outbreaks in Brazil: leveraging the Moving Epidemics Method (MEM) and climate data to optimize vector control strategies.PLoS neglected tropical diseases · 2025Article
- Mapping the Incidence of Dengue Fever in the State of Pará, Eastern Amazon: Epidemiology and Relationships with Climate.Reports (MDPI) · 2025Article
- Spatiotemporal dataset of dengue influencing factors in Brazil based on geospatial big data cloud computing.Scientific data · 2025Article
- Insights Into Spatial Synchrony Enabled by Long-Term Data.Ecology letters · 2025Review
- Rising Incidence and Spatiotemporal Dynamics of Emerging and Reemerging Arboviruses in Brazil.Viruses · 2025Article
- Impact of the COVID-19 pandemic on dengue in Brazil: Interrupted time series analysis of changes in surveillance and transmission.PLoS neglected tropical diseases · 2024Article
- Phylodynamics unveils invading and diffusing patterns of dengue virus serotype-1 in Guangdong, China from 1990 to 2019 under a global genotyping framework.Infectious diseases of poverty · 2024Article
- Human movement and environmental barriers shape the emergence of dengue.Nature communications · 2024Article
- Spatial and temporal trends of dengue infections in Curaçao: A 21-year analysis.Parasite epidemiology and control · 2024Article
- Convergent trends and spatiotemporal patterns of Aedes-borne arboviruses in Mexico and Central America.PLoS neglected tropical diseases · 2023Article
- Increased interregional virus exchange and nucleotide diversity outline the expansion of chikungunya virus in Brazil.Nature communications · 2023Article
- Ecological predictors of mosquito population and arbovirus transmission synchrony estimates.Journal of medical entomology · 2023Article
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5 authors.
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Abstract
Dengue continues to be the most important vector-borne viral disease globally and in Brazil, where more than 1.4 million cases and over 500 deaths were reported in 2016. Mosquito control programmes and other interventions have not stopped the alarming trend of increasingly large epidemics in the past few years. Here, we analyzed monthly dengue cases reported in Brazil between 2001 and 2016 to better characterise the key drivers of dengue epidemics. Spatio-temporal analysis revealed recurring travelling waves of disease occurrence. Using wavelet methods, we characterised the average seasonal pattern of dengue in Brazil, which starts in the western states of Acre and Rondônia, then travels eastward to the coast before reaching the northeast of the country. Only two states in the north of Brazil (Roraima and Amapá) did not follow the countrywide pattern and had inconsistent timing of dengue epidemics throughout the study period. We also explored epidemic synchrony and timing of annual dengue cycles in Brazilian regions. Using gravity style models combined with climate factors, we showed that both human mobility and vector ecology contribute to spatial patterns of dengue occurrence. This study offers a characterization of the spatial dynamics of dengue in Brazil and its drivers, which could inform intervention strategies against dengue and other arboviruses.
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