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Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon
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 iden...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324227/ https://www.ncbi.nlm.nih.gov/pubmed/35889130 http://dx.doi.org/10.3390/microorganisms10071411 |
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author | dos Reis, Danielle Saraiva Tuma de Brito, Mioni Thieli Figueiredo Magalhães Guimarães, Ricardo José de Paula Souza Quaresma, Juarez Antônio Simões |
author_facet | dos Reis, Danielle Saraiva Tuma de Brito, Mioni Thieli Figueiredo Magalhães Guimarães, Ricardo José de Paula Souza Quaresma, Juarez Antônio Simões |
author_sort | dos Reis, Danielle Saraiva Tuma |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9324227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93242272022-07-27 Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon dos Reis, Danielle Saraiva Tuma de Brito, Mioni Thieli Figueiredo Magalhães Guimarães, Ricardo José de Paula Souza Quaresma, Juarez Antônio Simões Microorganisms Article 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. MDPI 2022-07-13 /pmc/articles/PMC9324227/ /pubmed/35889130 http://dx.doi.org/10.3390/microorganisms10071411 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article dos Reis, Danielle Saraiva Tuma de Brito, Mioni Thieli Figueiredo Magalhães Guimarães, Ricardo José de Paula Souza Quaresma, Juarez Antônio Simões Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon |
title | 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_short | Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon |
title_sort | cryptococcosis: identification of risk areas in the brazilian amazon |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324227/ https://www.ncbi.nlm.nih.gov/pubmed/35889130 http://dx.doi.org/10.3390/microorganisms10071411 |
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