Health-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFMG |
Texto Completo: | https://doi.org/10.1371/journal.pone.0259780 http://hdl.handle.net/1843/54264 https://orcid.org/0000-0002-8019-9480 https://orcid.org/0000-0001-8231-238X https://orcid.org/0000-0002-7174-6710 https://orcid.org/0000-0002-2251-7348 https://orcid.org/0000-0001-9157-5990 https://orcid.org/0000-0003-0333-3997 |
Resumo: | Amazonia and the Northeast region of Brazil exhibit the highest levels of climate vulnerability in the country. While Amazonia is characterized by an extremely hot and humid climate and hosts the world largest rainforest, the Northeast is home to sharp climatic contrasts, ranging from rainy areas along the coast to semiarid regions that are often affected by droughts. Both regions are subject to extremely high temperatures and are susceptible to many tropical diseases. This study develops a multidimensional Extreme Climate Vulnerability Index (ECVI) for Brazilian Amazonia and the Northeast region based on the Alkire-Foster method. Vulnerability is defined by three components, encompassing exposure (proxied by seven climate extreme indicators), susceptibility (proxied by sociodemographic indicators), and adaptive capacity (proxied by sanitation conditions, urbanization rate, and healthcare provision). In addition to the estimated vulnerability levels and intensity, we break down the ECVI by indicators, dimensions, and regions, in order to explore how the incidence levels of climate-sensitive infectious and parasitic diseases correlate with regional vulnerability. We use the Grade of Membership method to reclassify the mesoregions into homoclimatic zones based on extreme climatic events, so climate and population/health data can be analyzed at comparable resolutions. We find two homoclimatic zones: Extreme Rain (ER) and Extreme Drought and High Temperature (EDHT). Vulnerability is higher in the ED-HT areas than in the ER. The contribution of each dimension to overall vulnerability levels varies by homoclimatic zone. In the ER zone, adaptive capacity (39%) prevails as the main driver of vulnerability among the three dimensions, in contrast with the approximately even dimensional contribution in the ED-HT. When we compare areas by disease incidence levels, exposure emerges as the most influential dimension. Our results suggest that climate can exacerbate existing infrastructure deficiencies and socioeconomic conditions that are correlated with tropical disease incidence in impoverished areas. |
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2023-05-31T21:33:05Z2023-05-31T21:33:05Z20211611124https://doi.org/10.1371/journal.pone.02597801932-6203http://hdl.handle.net/1843/54264https://orcid.org/0000-0002-8019-9480https://orcid.org/0000-0001-8231-238Xhttps://orcid.org/0000-0002-7174-6710https://orcid.org/0000-0002-2251-7348https://orcid.org/0000-0001-9157-5990https://orcid.org/0000-0003-0333-3997Amazonia and the Northeast region of Brazil exhibit the highest levels of climate vulnerability in the country. While Amazonia is characterized by an extremely hot and humid climate and hosts the world largest rainforest, the Northeast is home to sharp climatic contrasts, ranging from rainy areas along the coast to semiarid regions that are often affected by droughts. Both regions are subject to extremely high temperatures and are susceptible to many tropical diseases. This study develops a multidimensional Extreme Climate Vulnerability Index (ECVI) for Brazilian Amazonia and the Northeast region based on the Alkire-Foster method. Vulnerability is defined by three components, encompassing exposure (proxied by seven climate extreme indicators), susceptibility (proxied by sociodemographic indicators), and adaptive capacity (proxied by sanitation conditions, urbanization rate, and healthcare provision). In addition to the estimated vulnerability levels and intensity, we break down the ECVI by indicators, dimensions, and regions, in order to explore how the incidence levels of climate-sensitive infectious and parasitic diseases correlate with regional vulnerability. We use the Grade of Membership method to reclassify the mesoregions into homoclimatic zones based on extreme climatic events, so climate and population/health data can be analyzed at comparable resolutions. We find two homoclimatic zones: Extreme Rain (ER) and Extreme Drought and High Temperature (EDHT). Vulnerability is higher in the ED-HT areas than in the ER. The contribution of each dimension to overall vulnerability levels varies by homoclimatic zone. In the ER zone, adaptive capacity (39%) prevails as the main driver of vulnerability among the three dimensions, in contrast with the approximately even dimensional contribution in the ED-HT. When we compare areas by disease incidence levels, exposure emerges as the most influential dimension. Our results suggest that climate can exacerbate existing infrastructure deficiencies and socioeconomic conditions that are correlated with tropical disease incidence in impoverished areas.porUniversidade Federal de Minas GeraisUFMGBrasilFCE - DEPARTAMENTO DE CIÊNCIAS ECONÔMICASFCE - DEPARTAMENTO DE DEMOGRAFIAPLOS ONEBrasil - ClimaAmazoniaBrasil, NordesteAmazoniaNortheast region of BrazilClimate extremesHealth-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0259780Lara de Melo Barbosa AndradeGilvan Ramalho GuedesKenya Valeria Micaela de Souza NoronhaCláudio Moisés Santos e SilvaJéferson Pereira AndradeAlbert Smith Feitosa Suassuna Martinsinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/54264/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALHealth-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazil.pdfHealth-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazil.pdfapplication/pdf1659620https://repositorio.ufmg.br/bitstream/1843/54264/2/Health-related%20vulnerability%20to%20climate%20extremes%20in%20homoclimatic%20zones%20of%20Amazonia%20and%20Northeast%20region%20of%20Brazil.pdf8e6ee152093e328328ae9c2804a5f65fMD521843/542642023-05-31 18:33:06.113oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-05-31T21:33:06Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.pt_BR.fl_str_mv |
Health-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazil |
title |
Health-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazil |
spellingShingle |
Health-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazil Lara de Melo Barbosa Andrade Amazonia Northeast region of Brazil Climate extremes Brasil - Clima Amazonia Brasil, Nordeste |
title_short |
Health-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazil |
title_full |
Health-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazil |
title_fullStr |
Health-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazil |
title_full_unstemmed |
Health-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazil |
title_sort |
Health-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazil |
author |
Lara de Melo Barbosa Andrade |
author_facet |
Lara de Melo Barbosa Andrade Gilvan Ramalho Guedes Kenya Valeria Micaela de Souza Noronha Cláudio Moisés Santos e Silva Jéferson Pereira Andrade Albert Smith Feitosa Suassuna Martins |
author_role |
author |
author2 |
Gilvan Ramalho Guedes Kenya Valeria Micaela de Souza Noronha Cláudio Moisés Santos e Silva Jéferson Pereira Andrade Albert Smith Feitosa Suassuna Martins |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lara de Melo Barbosa Andrade Gilvan Ramalho Guedes Kenya Valeria Micaela de Souza Noronha Cláudio Moisés Santos e Silva Jéferson Pereira Andrade Albert Smith Feitosa Suassuna Martins |
dc.subject.por.fl_str_mv |
Amazonia Northeast region of Brazil Climate extremes |
topic |
Amazonia Northeast region of Brazil Climate extremes Brasil - Clima Amazonia Brasil, Nordeste |
dc.subject.other.pt_BR.fl_str_mv |
Brasil - Clima Amazonia Brasil, Nordeste |
description |
Amazonia and the Northeast region of Brazil exhibit the highest levels of climate vulnerability in the country. While Amazonia is characterized by an extremely hot and humid climate and hosts the world largest rainforest, the Northeast is home to sharp climatic contrasts, ranging from rainy areas along the coast to semiarid regions that are often affected by droughts. Both regions are subject to extremely high temperatures and are susceptible to many tropical diseases. This study develops a multidimensional Extreme Climate Vulnerability Index (ECVI) for Brazilian Amazonia and the Northeast region based on the Alkire-Foster method. Vulnerability is defined by three components, encompassing exposure (proxied by seven climate extreme indicators), susceptibility (proxied by sociodemographic indicators), and adaptive capacity (proxied by sanitation conditions, urbanization rate, and healthcare provision). In addition to the estimated vulnerability levels and intensity, we break down the ECVI by indicators, dimensions, and regions, in order to explore how the incidence levels of climate-sensitive infectious and parasitic diseases correlate with regional vulnerability. We use the Grade of Membership method to reclassify the mesoregions into homoclimatic zones based on extreme climatic events, so climate and population/health data can be analyzed at comparable resolutions. We find two homoclimatic zones: Extreme Rain (ER) and Extreme Drought and High Temperature (EDHT). Vulnerability is higher in the ED-HT areas than in the ER. The contribution of each dimension to overall vulnerability levels varies by homoclimatic zone. In the ER zone, adaptive capacity (39%) prevails as the main driver of vulnerability among the three dimensions, in contrast with the approximately even dimensional contribution in the ED-HT. When we compare areas by disease incidence levels, exposure emerges as the most influential dimension. Our results suggest that climate can exacerbate existing infrastructure deficiencies and socioeconomic conditions that are correlated with tropical disease incidence in impoverished areas. |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021 |
dc.date.accessioned.fl_str_mv |
2023-05-31T21:33:05Z |
dc.date.available.fl_str_mv |
2023-05-31T21:33:05Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1843/54264 |
dc.identifier.doi.pt_BR.fl_str_mv |
https://doi.org/10.1371/journal.pone.0259780 |
dc.identifier.issn.pt_BR.fl_str_mv |
1932-6203 |
dc.identifier.orcid.pt_BR.fl_str_mv |
https://orcid.org/0000-0002-8019-9480 https://orcid.org/0000-0001-8231-238X https://orcid.org/0000-0002-7174-6710 https://orcid.org/0000-0002-2251-7348 https://orcid.org/0000-0001-9157-5990 https://orcid.org/0000-0003-0333-3997 |
url |
https://doi.org/10.1371/journal.pone.0259780 http://hdl.handle.net/1843/54264 https://orcid.org/0000-0002-8019-9480 https://orcid.org/0000-0001-8231-238X https://orcid.org/0000-0002-7174-6710 https://orcid.org/0000-0002-2251-7348 https://orcid.org/0000-0001-9157-5990 https://orcid.org/0000-0003-0333-3997 |
identifier_str_mv |
1932-6203 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.ispartof.pt_BR.fl_str_mv |
PLOS ONE |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.publisher.initials.fl_str_mv |
UFMG |
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Brasil |
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FCE - DEPARTAMENTO DE CIÊNCIAS ECONÔMICAS FCE - DEPARTAMENTO DE DEMOGRAFIA |
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Universidade Federal de Minas Gerais |
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