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Incidence and spatial distribution of cases of dengue, from 2010 to 2019: an ecological study

BACKGROUND: Dengue is an arbovirus that has caused serious problem in Brazil, putting the public health system under severe stress. Understanding its incidence and spatial distribution is essential for disease control and prevention. OBJECTIVE: To perform an analysis on dengue incidence and spatial...

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Autores principales: de Morais, Petrúcio Luiz Lins, Castanha, Priscila Mayrelle Silva, Montarroyos, Ulisses Ramos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação Paulista de Medicina - APM 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685579/
https://www.ncbi.nlm.nih.gov/pubmed/33331605
http://dx.doi.org/10.1590/1516-3180.2020.0111.R1.24092020
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author de Morais, Petrúcio Luiz Lins
Castanha, Priscila Mayrelle Silva
Montarroyos, Ulisses Ramos
author_facet de Morais, Petrúcio Luiz Lins
Castanha, Priscila Mayrelle Silva
Montarroyos, Ulisses Ramos
author_sort de Morais, Petrúcio Luiz Lins
collection PubMed
description BACKGROUND: Dengue is an arbovirus that has caused serious problem in Brazil, putting the public health system under severe stress. Understanding its incidence and spatial distribution is essential for disease control and prevention. OBJECTIVE: To perform an analysis on dengue incidence and spatial distribution in a medium-sized, cool-climate and high-altitude city. DESIGN AND SETTING: Ecological study carried out in a public institution in the city of Garanhuns, Pernambuco, Brazil. METHODS: Secondary data provided by specific agencies in each area were used for spatial analysis and elaboration of kernel maps, incidence calculations, correlations and percentages of dengue occurrence. The Geocentric Reference System for the Americas (Sistema de Referência Geocêntrico para as Américas, SIRGAS), 2000, was the software of choice. RESULTS: The incidence rates were calculated per 100,000 inhabitants. Between 2010 and 2019, there were 6,504 cases and the incidence was 474.92. From 2010 to 2014, the incidence was 161.46 for a total of 1,069 cases. The highest incidence occurred in the period from 2015 to 2019: out of a total of 5,435 cases, the incidence was 748.65, representing an increase of 485.97%. Population density and the interaction between two climatic factors, i.e. atypical temperature above 31 °C and relative humidity above 31.4%, contributed to the peak incidence of dengue, although these variables were not statistically significant (P > 0.05). CONCLUSION: The dengue incidence levels and spatial distribution reflected virus and vector adjustment to the local climate. However, there was no correlation between climatic factors and occurrences of dengue in this city.
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spelling pubmed-96855792022-11-25 Incidence and spatial distribution of cases of dengue, from 2010 to 2019: an ecological study de Morais, Petrúcio Luiz Lins Castanha, Priscila Mayrelle Silva Montarroyos, Ulisses Ramos Sao Paulo Med J Original Article BACKGROUND: Dengue is an arbovirus that has caused serious problem in Brazil, putting the public health system under severe stress. Understanding its incidence and spatial distribution is essential for disease control and prevention. OBJECTIVE: To perform an analysis on dengue incidence and spatial distribution in a medium-sized, cool-climate and high-altitude city. DESIGN AND SETTING: Ecological study carried out in a public institution in the city of Garanhuns, Pernambuco, Brazil. METHODS: Secondary data provided by specific agencies in each area were used for spatial analysis and elaboration of kernel maps, incidence calculations, correlations and percentages of dengue occurrence. The Geocentric Reference System for the Americas (Sistema de Referência Geocêntrico para as Américas, SIRGAS), 2000, was the software of choice. RESULTS: The incidence rates were calculated per 100,000 inhabitants. Between 2010 and 2019, there were 6,504 cases and the incidence was 474.92. From 2010 to 2014, the incidence was 161.46 for a total of 1,069 cases. The highest incidence occurred in the period from 2015 to 2019: out of a total of 5,435 cases, the incidence was 748.65, representing an increase of 485.97%. Population density and the interaction between two climatic factors, i.e. atypical temperature above 31 °C and relative humidity above 31.4%, contributed to the peak incidence of dengue, although these variables were not statistically significant (P > 0.05). CONCLUSION: The dengue incidence levels and spatial distribution reflected virus and vector adjustment to the local climate. However, there was no correlation between climatic factors and occurrences of dengue in this city. Associação Paulista de Medicina - APM 2020-12-14 /pmc/articles/PMC9685579/ /pubmed/33331605 http://dx.doi.org/10.1590/1516-3180.2020.0111.R1.24092020 Text en © 2022 by Associação Paulista de Medicina https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons license.
spellingShingle Original Article
de Morais, Petrúcio Luiz Lins
Castanha, Priscila Mayrelle Silva
Montarroyos, Ulisses Ramos
Incidence and spatial distribution of cases of dengue, from 2010 to 2019: an ecological study
title Incidence and spatial distribution of cases of dengue, from 2010 to 2019: an ecological study
title_full Incidence and spatial distribution of cases of dengue, from 2010 to 2019: an ecological study
title_fullStr Incidence and spatial distribution of cases of dengue, from 2010 to 2019: an ecological study
title_full_unstemmed Incidence and spatial distribution of cases of dengue, from 2010 to 2019: an ecological study
title_short Incidence and spatial distribution of cases of dengue, from 2010 to 2019: an ecological study
title_sort incidence and spatial distribution of cases of dengue, from 2010 to 2019: an ecological study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685579/
https://www.ncbi.nlm.nih.gov/pubmed/33331605
http://dx.doi.org/10.1590/1516-3180.2020.0111.R1.24092020
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