ArticlePLoS neglected tropical diseases2022
How heterogeneous is the dengue transmission profile in Brazil? A study in six Brazilian states.
Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Beyond the metropolises: the decentralization of chikungunya to non-metropolitan areas across Brazil.Cadernos de saude publica · 2026Article
- Predicting high dengue incidence in municipalities of Brazil using path signatures.Scientific reports · 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
- Large-scale epidemiological modelling: scanning for mosquito-borne diseases spatio-temporal patterns in Brazil.Royal Society open science · 2025Article
- Spatial patterns and clustering of dengue incidence in Mexico: Analysis of Moran's index across 2,471 municipalities from 2022 to 2024.PloS one · 2025Article
- [Surveillance and public health at the borders: an analysis of immediate reporting events in Paraná State, Brazil (2010-2019)].Cadernos de saude publica · 2025Article
- The greatest Dengue epidemic in Brazil: Surveillance, Prevention, and Control.Revista da Sociedade Brasileira de Medicina Tropical · 2024Review
- Disentangling local and global climate drivers in the population dynamics of mosquito-borne infections.Science advances · 2023Article
- Article
- Assessing temporal causal effects of climate on dengue incidence in Peninsular Malaysia.The journal of climate change and healthArticle
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3 authors.
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Abstract
Dengue is a vector-borne disease present in most tropical countries, infecting an average of 50 to 100 million people per year. Socioeconomic, demographic, and environmental factors directly influence the transmission cycle of the dengue virus (DENV). In Brazil, these factors vary between regions producing different profiles of dengue transmission and challenging the epidemiological surveillance of the disease. In this article, we aimed at classifying the profiles of dengue transmission in 1,823 Brazilian municipalities, covering different climates, from 2010 to 2019. Time series data of dengue cases were obtained from six states: Ceará and Maranhão in the semiarid Northeast, Minas Gerais in the countryside, Espírito Santo and Rio de Janeiro in the tropical Atlantic coast, and Paraná in the subtropical region. To describe the time series, we proposed a set of epi-features of the magnitude and duration of the dengue epidemic cycles, totaling 13 indicators. Using these epi-features as inputs, a multivariate cluster algorithm was employed to classify the municipalities according to their dengue transmission profile. Municipalities were classified into four distinct dengue transmission profiles: persistent transmission (7.8%), epidemic (21.3%), episodic/epidemic (43.2%), and episodic transmission (27.6%). Different profiles were associated with the municipality's population size and climate. Municipalities with higher incidence and larger populations tended to be classified as persistent transmission, suggesting the existence of critical community size. This association, however, varies depending on the state, indicating the importance of other factors. The proposed classification is useful for developing more specific and precise surveillance protocols for regions with different dengue transmission profiles, as well as more precise public policies for dengue prevention.
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