The impact of Zika in Minas Gerais, Brazil: epidemiological profile and spatial diffusion of the disease, 2015-2019
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Saúde (Santa Maria) |
Texto Completo: | https://periodicos.ufsm.br/revistasaude/article/view/56918 |
Resumo: | Objective: To overview the epidemiological profile for Zika in MG and map its spatial diffusion from 2015 (onset of the outbreak) to 2019. Method: this is a descriptive observational study based on three secondary databases: Disease Notification System (SINAN), the Brazilian Institute of Geography and Statistics (IBGE) and the Health Surveillance Secretariat of Minas Gerais State (SVS-SES/MG). The spatial diffusion of the confirmed cases was georeferenced with Geographic Information Systems (GIS) and Geographic Database (BDG), using ArcGIS 10.3 software. Results: in Minas Gerais, the spread of Zika was similar to other regions of Brazil. 10,465 cases were confirmed and of these, 26.5% were pregnant women. Almost 80% of the reported cases were female. The first cases were recorded in 2015, reaching all 13 regions in 2016, declining in 2017 and 2018, increasing again in 2019. Final considerations: in addition to socio-economic inequalities in Minas Gerais, it can be argued that women who are young, mixed-race, with low-education and from vulnerable areas are more likely to be affected by the disease. The analysis of disease epidemiology and mapping may better access disease impact, thus contributing to more adequate public health policies and planning. |
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The impact of Zika in Minas Gerais, Brazil: epidemiological profile and spatial diffusion of the disease, 2015-2019Zika virus. Epidemiology. Medical and Health GeographyObjective: To overview the epidemiological profile for Zika in MG and map its spatial diffusion from 2015 (onset of the outbreak) to 2019. Method: this is a descriptive observational study based on three secondary databases: Disease Notification System (SINAN), the Brazilian Institute of Geography and Statistics (IBGE) and the Health Surveillance Secretariat of Minas Gerais State (SVS-SES/MG). The spatial diffusion of the confirmed cases was georeferenced with Geographic Information Systems (GIS) and Geographic Database (BDG), using ArcGIS 10.3 software. Results: in Minas Gerais, the spread of Zika was similar to other regions of Brazil. 10,465 cases were confirmed and of these, 26.5% were pregnant women. Almost 80% of the reported cases were female. The first cases were recorded in 2015, reaching all 13 regions in 2016, declining in 2017 and 2018, increasing again in 2019. Final considerations: in addition to socio-economic inequalities in Minas Gerais, it can be argued that women who are young, mixed-race, with low-education and from vulnerable areas are more likely to be affected by the disease. The analysis of disease epidemiology and mapping may better access disease impact, thus contributing to more adequate public health policies and planning.Universidade Federal de Santa Maria2021-05-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/revistasaude/article/view/5691810.5902/2236583456918Saúde (Santa Maria); Revista Saúde (Santa Maria). 2021, v. 47, n. 1Saúde (Santa Maria); Revista Saúde (Santa Maria). 2021, v. 47, n. 12236-58340103-4499reponame:Saúde (Santa Maria)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMenghttps://periodicos.ufsm.br/revistasaude/article/view/56918/pdfCopyright (c) 2021 Saúde (Santa Maria)info:eu-repo/semantics/openAccessFerreira, Raquel AparecidaNogueira, Maria JosePaulo, Gustavo LibérioNunes, JoãoPimenta, Denise NacifValle, Denise 2022-12-08T18:57:06Zoai:ojs.pkp.sfu.ca:article/56918Revistahttps://periodicos.ufsm.br/revistasaudePUBhttps://periodicos.ufsm.br/revistasaude/oairevistasaude.ufsm@gmail.com || amanda.revsaude@gmail.com || beatriz.revsaude@gmail.com2236-58342236-5834opendoar:2022-12-08T18:57:06Saúde (Santa Maria) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
The impact of Zika in Minas Gerais, Brazil: epidemiological profile and spatial diffusion of the disease, 2015-2019 |
title |
The impact of Zika in Minas Gerais, Brazil: epidemiological profile and spatial diffusion of the disease, 2015-2019 |
spellingShingle |
The impact of Zika in Minas Gerais, Brazil: epidemiological profile and spatial diffusion of the disease, 2015-2019 Ferreira, Raquel Aparecida Zika virus. Epidemiology. Medical and Health Geography |
title_short |
The impact of Zika in Minas Gerais, Brazil: epidemiological profile and spatial diffusion of the disease, 2015-2019 |
title_full |
The impact of Zika in Minas Gerais, Brazil: epidemiological profile and spatial diffusion of the disease, 2015-2019 |
title_fullStr |
The impact of Zika in Minas Gerais, Brazil: epidemiological profile and spatial diffusion of the disease, 2015-2019 |
title_full_unstemmed |
The impact of Zika in Minas Gerais, Brazil: epidemiological profile and spatial diffusion of the disease, 2015-2019 |
title_sort |
The impact of Zika in Minas Gerais, Brazil: epidemiological profile and spatial diffusion of the disease, 2015-2019 |
author |
Ferreira, Raquel Aparecida |
author_facet |
Ferreira, Raquel Aparecida Nogueira, Maria Jose Paulo, Gustavo Libério Nunes, João Pimenta, Denise Nacif Valle, Denise |
author_role |
author |
author2 |
Nogueira, Maria Jose Paulo, Gustavo Libério Nunes, João Pimenta, Denise Nacif Valle, Denise |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Ferreira, Raquel Aparecida Nogueira, Maria Jose Paulo, Gustavo Libério Nunes, João Pimenta, Denise Nacif Valle, Denise |
dc.subject.por.fl_str_mv |
Zika virus. Epidemiology. Medical and Health Geography |
topic |
Zika virus. Epidemiology. Medical and Health Geography |
description |
Objective: To overview the epidemiological profile for Zika in MG and map its spatial diffusion from 2015 (onset of the outbreak) to 2019. Method: this is a descriptive observational study based on three secondary databases: Disease Notification System (SINAN), the Brazilian Institute of Geography and Statistics (IBGE) and the Health Surveillance Secretariat of Minas Gerais State (SVS-SES/MG). The spatial diffusion of the confirmed cases was georeferenced with Geographic Information Systems (GIS) and Geographic Database (BDG), using ArcGIS 10.3 software. Results: in Minas Gerais, the spread of Zika was similar to other regions of Brazil. 10,465 cases were confirmed and of these, 26.5% were pregnant women. Almost 80% of the reported cases were female. The first cases were recorded in 2015, reaching all 13 regions in 2016, declining in 2017 and 2018, increasing again in 2019. Final considerations: in addition to socio-economic inequalities in Minas Gerais, it can be argued that women who are young, mixed-race, with low-education and from vulnerable areas are more likely to be affected by the disease. The analysis of disease epidemiology and mapping may better access disease impact, thus contributing to more adequate public health policies and planning. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-21 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufsm.br/revistasaude/article/view/56918 10.5902/2236583456918 |
url |
https://periodicos.ufsm.br/revistasaude/article/view/56918 |
identifier_str_mv |
10.5902/2236583456918 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/revistasaude/article/view/56918/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Saúde (Santa Maria) info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Saúde (Santa Maria) |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Saúde (Santa Maria); Revista Saúde (Santa Maria). 2021, v. 47, n. 1 Saúde (Santa Maria); Revista Saúde (Santa Maria). 2021, v. 47, n. 1 2236-5834 0103-4499 reponame:Saúde (Santa Maria) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Saúde (Santa Maria) |
collection |
Saúde (Santa Maria) |
repository.name.fl_str_mv |
Saúde (Santa Maria) - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
revistasaude.ufsm@gmail.com || amanda.revsaude@gmail.com || beatriz.revsaude@gmail.com |
_version_ |
1799944002333573120 |