A spatio-temporal analysis of dengue spread in a Brazilian dry climate region

Abstract We investigated the relation between the spread, time scale, and spatial arrangement of dengue in Bahia, a Brazilian dry climate region, for the period 2000 to 2009. The degree of cross-correlation is calculated for 15 economic regions. We propose a multiscale statistical analysis to datase...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Aloísio S. Nascimento Filho, Thiago B. Murari, Paulo Ferreira, Hugo Saba, Marcelo A. Moret
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/c27270c6fc7640de9d9918aefd86b66f
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:c27270c6fc7640de9d9918aefd86b66f
record_format dspace
spelling oai:doaj.org-article:c27270c6fc7640de9d9918aefd86b66f2021-12-02T15:02:48ZA spatio-temporal analysis of dengue spread in a Brazilian dry climate region10.1038/s41598-021-91306-z2045-2322https://doaj.org/article/c27270c6fc7640de9d9918aefd86b66f2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91306-zhttps://doaj.org/toc/2045-2322Abstract We investigated the relation between the spread, time scale, and spatial arrangement of dengue in Bahia, a Brazilian dry climate region, for the period 2000 to 2009. The degree of cross-correlation is calculated for 15 economic regions. We propose a multiscale statistical analysis to datasets of dengue cases in order to verify the effect of infection dispersal on the economic regions from the metropolitan region of Salvador. Our empirical results support a significant and persistent cross-correlation between most regions, reinforcing the idea that economic regions or climatic conditions are non-statistically significant in the spread of dengue in the State of Bahia. Our main contribution lies in the cross-correlation results revealing multiple aspects related to the propagation of dengue in dry climate regions.Aloísio S. Nascimento FilhoThiago B. MurariPaulo FerreiraHugo SabaMarcelo A. MoretNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Aloísio S. Nascimento Filho
Thiago B. Murari
Paulo Ferreira
Hugo Saba
Marcelo A. Moret
A spatio-temporal analysis of dengue spread in a Brazilian dry climate region
description Abstract We investigated the relation between the spread, time scale, and spatial arrangement of dengue in Bahia, a Brazilian dry climate region, for the period 2000 to 2009. The degree of cross-correlation is calculated for 15 economic regions. We propose a multiscale statistical analysis to datasets of dengue cases in order to verify the effect of infection dispersal on the economic regions from the metropolitan region of Salvador. Our empirical results support a significant and persistent cross-correlation between most regions, reinforcing the idea that economic regions or climatic conditions are non-statistically significant in the spread of dengue in the State of Bahia. Our main contribution lies in the cross-correlation results revealing multiple aspects related to the propagation of dengue in dry climate regions.
format article
author Aloísio S. Nascimento Filho
Thiago B. Murari
Paulo Ferreira
Hugo Saba
Marcelo A. Moret
author_facet Aloísio S. Nascimento Filho
Thiago B. Murari
Paulo Ferreira
Hugo Saba
Marcelo A. Moret
author_sort Aloísio S. Nascimento Filho
title A spatio-temporal analysis of dengue spread in a Brazilian dry climate region
title_short A spatio-temporal analysis of dengue spread in a Brazilian dry climate region
title_full A spatio-temporal analysis of dengue spread in a Brazilian dry climate region
title_fullStr A spatio-temporal analysis of dengue spread in a Brazilian dry climate region
title_full_unstemmed A spatio-temporal analysis of dengue spread in a Brazilian dry climate region
title_sort spatio-temporal analysis of dengue spread in a brazilian dry climate region
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/c27270c6fc7640de9d9918aefd86b66f
work_keys_str_mv AT aloisiosnascimentofilho aspatiotemporalanalysisofdenguespreadinabraziliandryclimateregion
AT thiagobmurari aspatiotemporalanalysisofdenguespreadinabraziliandryclimateregion
AT pauloferreira aspatiotemporalanalysisofdenguespreadinabraziliandryclimateregion
AT hugosaba aspatiotemporalanalysisofdenguespreadinabraziliandryclimateregion
AT marceloamoret aspatiotemporalanalysisofdenguespreadinabraziliandryclimateregion
AT aloisiosnascimentofilho spatiotemporalanalysisofdenguespreadinabraziliandryclimateregion
AT thiagobmurari spatiotemporalanalysisofdenguespreadinabraziliandryclimateregion
AT pauloferreira spatiotemporalanalysisofdenguespreadinabraziliandryclimateregion
AT hugosaba spatiotemporalanalysisofdenguespreadinabraziliandryclimateregion
AT marceloamoret spatiotemporalanalysisofdenguespreadinabraziliandryclimateregion
_version_ 1718389101691928576