Spatial patterns of dengue cases in Brazil.

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...

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Main Authors: Fernando Jose Antonio, Andreia Silva Itami, Sergio de Picoli, Jorge Juarez Vieira Teixeira, Renio Dos Santos Mendes
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5513438?pdf=render
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spelling doaj-d8d1ea0e367b4a5abc91e64796e83d832020-11-25T00:02:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01127e018071510.1371/journal.pone.0180715Spatial patterns of dengue cases in Brazil.Fernando Jose AntonioAndreia Silva ItamiSergio de PicoliJorge Juarez Vieira TeixeiraRenio Dos Santos MendesDengue 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.http://europepmc.org/articles/PMC5513438?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Fernando Jose Antonio
Andreia Silva Itami
Sergio de Picoli
Jorge Juarez Vieira Teixeira
Renio Dos Santos Mendes
spellingShingle Fernando Jose Antonio
Andreia Silva Itami
Sergio de Picoli
Jorge Juarez Vieira Teixeira
Renio Dos Santos Mendes
Spatial patterns of dengue cases in Brazil.
PLoS ONE
author_facet Fernando Jose Antonio
Andreia Silva Itami
Sergio de Picoli
Jorge Juarez Vieira Teixeira
Renio Dos Santos Mendes
author_sort Fernando Jose Antonio
title Spatial patterns of dengue cases in Brazil.
title_short Spatial patterns of dengue cases in Brazil.
title_full Spatial patterns of dengue cases in Brazil.
title_fullStr Spatial patterns of dengue cases in Brazil.
title_full_unstemmed Spatial patterns of dengue cases in Brazil.
title_sort spatial patterns of dengue cases in brazil.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description 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.
url http://europepmc.org/articles/PMC5513438?pdf=render
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