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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Paulista de Medicina - APM
2020
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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. |
format | Online Article Text |
id | pubmed-9685579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Associação Paulista de Medicina - APM |
record_format | MEDLINE/PubMed |
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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