Cryptococcosis: identification of risk areas in the Brazilian Amazon
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Digital do Instituto Evandro Chagas (Patuá) |
Texto Completo: | https://patua.iec.gov.br/handle/iec/4595 |
Resumo: | The Brazilian Amazon has a specific epidemiological profile for cryptococcosis, considering its social and economic inequality, health reality, and low access to health services. Furthermore, Brazil and Colombia have the highest cryptococcosis incidence rates in Latin America. In this study, we identified the areas of risk for cryptococcosis in the state of Pará in the Brazilian Amazon. This was an ecological study of patients admitted to a referral hospital from 2008 to 2018, aged 13 years or older, and of both sexes. The spatial distribution was determined using ArcGis 10.3.1 software. Cryptococcosis was confirmed in 272 cases. The incidence rate was 3.41 cases/100,000 inhabitants. Spatial distribution was concentrated in the Metropolitana de Belém, Nordeste Paraense, and Marajó mesoregions. The sociodemographic profile consisted of 62% men, aged between 24 and 34 years (36%), without completed secondary education (64.7%), and with occupations varying between agricultural activities (13.8%) and household activities (22%). The mean hospitalization time was 39 days; the prevalent clinical form was neurological (89.7%). The mortality rate among patients with cryptococcosis was up to 40%. Knowledge of the real magnitude of the disease in the Brazilian Amazon makes it possible to identify areas with the greatest risks and to propose control and epidemiological surveillance programs |
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Reis, Danielle Saraiva Tuma dosBrito, Mioni Thieli Figueiredo Magalhães deGuimarães, Ricardo José de Paula Souza eQuaresma, Juarez Antônio Simões2022-08-09T18:27:03Z2022-08-09T18:27:03Z2022REIS, Danielle Saraiva Tuma dos et al. Cryptococcosis: identification of risk areas in the Brazilian Amazon. Microorganisms, v. 10, n. 7, p. 1-11, July 2022. DOI: https://doi.org/10.3390/microorganisms10071411. Acesso em: 09 ago. 2022.2076-2607https://patua.iec.gov.br/handle/iec/459510.3390/microorganisms10071411The Brazilian Amazon has a specific epidemiological profile for cryptococcosis, considering its social and economic inequality, health reality, and low access to health services. Furthermore, Brazil and Colombia have the highest cryptococcosis incidence rates in Latin America. In this study, we identified the areas of risk for cryptococcosis in the state of Pará in the Brazilian Amazon. This was an ecological study of patients admitted to a referral hospital from 2008 to 2018, aged 13 years or older, and of both sexes. The spatial distribution was determined using ArcGis 10.3.1 software. Cryptococcosis was confirmed in 272 cases. The incidence rate was 3.41 cases/100,000 inhabitants. Spatial distribution was concentrated in the Metropolitana de Belém, Nordeste Paraense, and Marajó mesoregions. The sociodemographic profile consisted of 62% men, aged between 24 and 34 years (36%), without completed secondary education (64.7%), and with occupations varying between agricultural activities (13.8%) and household activities (22%). The mean hospitalization time was 39 days; the prevalent clinical form was neurological (89.7%). The mortality rate among patients with cryptococcosis was up to 40%. Knowledge of the real magnitude of the disease in the Brazilian Amazon makes it possible to identify areas with the greatest risks and to propose control and epidemiological surveillance programsFederal University of Pará. Faculty of Nursing. Belém, PA, Brazil.Federal University of Pará. Faculty of Pharmacy. Belém, PA, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Laboratório de Geoprocesamento. Ananindeua, PA, Brasil.Federal University of Pará. Tropical Medicine Center. 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dc.title.pt_BR.fl_str_mv |
Cryptococcosis: identification of risk areas in the Brazilian Amazon |
title |
Cryptococcosis: identification of risk areas in the Brazilian Amazon |
spellingShingle |
Cryptococcosis: identification of risk areas in the Brazilian Amazon Reis, Danielle Saraiva Tuma dos Criptococose Análise Espacial Sistemas de Informação Geográfica Perfil de Saúde Incidência Amazônia Brasileira (BR) |
title_short |
Cryptococcosis: identification of risk areas in the Brazilian Amazon |
title_full |
Cryptococcosis: identification of risk areas in the Brazilian Amazon |
title_fullStr |
Cryptococcosis: identification of risk areas in the Brazilian Amazon |
title_full_unstemmed |
Cryptococcosis: identification of risk areas in the Brazilian Amazon |
title_sort |
Cryptococcosis: identification of risk areas in the Brazilian Amazon |
author |
Reis, Danielle Saraiva Tuma dos |
author_facet |
Reis, Danielle Saraiva Tuma dos Brito, Mioni Thieli Figueiredo Magalhães de Guimarães, Ricardo José de Paula Souza e Quaresma, Juarez Antônio Simões |
author_role |
author |
author2 |
Brito, Mioni Thieli Figueiredo Magalhães de Guimarães, Ricardo José de Paula Souza e Quaresma, Juarez Antônio Simões |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Reis, Danielle Saraiva Tuma dos Brito, Mioni Thieli Figueiredo Magalhães de Guimarães, Ricardo José de Paula Souza e Quaresma, Juarez Antônio Simões |
dc.subject.decsPrimary.pt_BR.fl_str_mv |
Criptococose Análise Espacial Sistemas de Informação Geográfica Perfil de Saúde Incidência Amazônia Brasileira (BR) |
topic |
Criptococose Análise Espacial Sistemas de Informação Geográfica Perfil de Saúde Incidência Amazônia Brasileira (BR) |
description |
The Brazilian Amazon has a specific epidemiological profile for cryptococcosis, considering its social and economic inequality, health reality, and low access to health services. Furthermore, Brazil and Colombia have the highest cryptococcosis incidence rates in Latin America. In this study, we identified the areas of risk for cryptococcosis in the state of Pará in the Brazilian Amazon. This was an ecological study of patients admitted to a referral hospital from 2008 to 2018, aged 13 years or older, and of both sexes. The spatial distribution was determined using ArcGis 10.3.1 software. Cryptococcosis was confirmed in 272 cases. The incidence rate was 3.41 cases/100,000 inhabitants. Spatial distribution was concentrated in the Metropolitana de Belém, Nordeste Paraense, and Marajó mesoregions. The sociodemographic profile consisted of 62% men, aged between 24 and 34 years (36%), without completed secondary education (64.7%), and with occupations varying between agricultural activities (13.8%) and household activities (22%). The mean hospitalization time was 39 days; the prevalent clinical form was neurological (89.7%). The mortality rate among patients with cryptococcosis was up to 40%. Knowledge of the real magnitude of the disease in the Brazilian Amazon makes it possible to identify areas with the greatest risks and to propose control and epidemiological surveillance programs |
publishDate |
2022 |
dc.date.accessioned.fl_str_mv |
2022-08-09T18:27:03Z |
dc.date.available.fl_str_mv |
2022-08-09T18:27:03Z |
dc.date.issued.fl_str_mv |
2022 |
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.citation.fl_str_mv |
REIS, Danielle Saraiva Tuma dos et al. Cryptococcosis: identification of risk areas in the Brazilian Amazon. Microorganisms, v. 10, n. 7, p. 1-11, July 2022. DOI: https://doi.org/10.3390/microorganisms10071411. Acesso em: 09 ago. 2022. |
dc.identifier.uri.fl_str_mv |
https://patua.iec.gov.br/handle/iec/4595 |
dc.identifier.issn.pt_BR.fl_str_mv |
2076-2607 |
dc.identifier.doi.pt_BR.fl_str_mv |
10.3390/microorganisms10071411 |
identifier_str_mv |
REIS, Danielle Saraiva Tuma dos et al. Cryptococcosis: identification of risk areas in the Brazilian Amazon. Microorganisms, v. 10, n. 7, p. 1-11, July 2022. DOI: https://doi.org/10.3390/microorganisms10071411. Acesso em: 09 ago. 2022. 2076-2607 10.3390/microorganisms10071411 |
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https://patua.iec.gov.br/handle/iec/4595 |
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eng |
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eng |
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MDPI |
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MDPI |
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