ArticlePloS one2017
Spatial patterns of dengue cases in Brazil.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- [Relationship between air temperature and dengue incidence: time series study in Minas Gerais, Brazil (2010-2019)].Cadernos de saude publica · 2024Pooled it
- The impact of hot nights on dengue incidence: a nationwide case crossover study in Brazil.Infectious diseases of poverty · 2025Article
- Impact of inter-city interactions on disease scaling.Scientific reports · 2025Article
- Article
- Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil.PLoS neglected tropical diseases · 2021Article
- Google Trends correlation and sensitivity for outbreaks of dengue and yellow fever in the state of São Paulo.Einstein (Sao Paulo, Brazil) · 2021Article
- Predicting dengue outbreaks at neighbourhood level using human mobility in urban areas.Journal of the Royal Society, Interface · 2020Article
- Article
- Spatio-temporal dynamics of dengue in Brazil: Seasonal travelling waves and determinants of regional synchrony.PLoS neglected tropical diseases · 2019Article
- Limiting global-mean temperature increase to 1.5-2 °C could reduce the incidence and spatial spread of dengue fever in Latin America.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dengue infection plays a central role in our society, since it is the most prevalent vector-borne viral disease affecting humans. We statistically investigated patterns concerning the spatial spreading of dengue epidemics in Brazil, as well as their temporal evolution in all Brazilian municipalities for a period of 12 years. We showed that the distributions of cases in municipalities follow power laws persistent in time and that the infection scales linearly with the population of the municipalities. We also found that the average number of dengue cases does not have a clear dependence on the longitudinal position of municipalities. On the other hand, we found that the average distribution of cases varies with the latitudinal position of municipalities, displaying an almost constant growth from high latitudes until reaching the Tropic of Capricorn leveling to a plateau closer to the Equator. We also characterized the spatial correlation of the number of dengue cases between pairs of municipalities, where our results showed that the spatial correlation function decays with the increase of distance between municipalities, following a power-law with an exponential cut-off. This regime leads to a typical dengue traveling distance. Finally, we considered modeling this last behaviour within the framework of a Edwards-Wilkinson equation with a fractional derivative on space.
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