Tracking malaria cases in the State of Rio de Janeiro from 2007 to 2017
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Científica da Faculdade de Medicina de Campos |
Texto Completo: | https://www.fmc.br/ojs/index.php/RCFMC/article/view/486 |
Resumo: | Malaria is a worldwide public health problem that has been experiencing significant development in recent times. The largest number of cases is concentrated in the Amazon Region, however there is a lack of studies on the disease in other regions, as is the case in the Rio de Janeiro State. The main objective is to observe, through prevalence calculations, the most affected regions and cities in the state of Rio de Janeiro. The data used during the research to obtain the results were acquired through the “Banco de Dados do Sistema Único de Saúde” (DATASUS). With the calculated prevalence values, different graphs were constructed that made it possible to analyze the development of malaria in the regions and cities of the state. The regions that stood out with the highest prevalence of the disease were: Serrana, Norte and Metropolitana, together with the cities of Santa Maria Madalena, Macaé and Rio de Janeiro respectively. It can be said that the greatest development of malaria in the aforementioned areas is directly related to the environmental characteristics of the region, such as: vegetation, climate, sanitation and temperature, in addition to the population number and the flow of people. To minimize malaria in the regions, certain measures could be taken, such as, for example, improvement in basic sanitation with a focus on sewage treatment, improvement in housing conditions, awareness of the population along with constant home visits by health agents. |
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Tracking malaria cases in the State of Rio de Janeiro from 2007 to 2017RASTREAMENTO DOS CASOS DE MALÁRIA DO ESTADO DO RIO DE JANEIRO NO PERÍODO DE 2007 A 2017MaláriaRio de JaneiroPrevalênciaMalaria is a worldwide public health problem that has been experiencing significant development in recent times. The largest number of cases is concentrated in the Amazon Region, however there is a lack of studies on the disease in other regions, as is the case in the Rio de Janeiro State. The main objective is to observe, through prevalence calculations, the most affected regions and cities in the state of Rio de Janeiro. The data used during the research to obtain the results were acquired through the “Banco de Dados do Sistema Único de Saúde” (DATASUS). With the calculated prevalence values, different graphs were constructed that made it possible to analyze the development of malaria in the regions and cities of the state. The regions that stood out with the highest prevalence of the disease were: Serrana, Norte and Metropolitana, together with the cities of Santa Maria Madalena, Macaé and Rio de Janeiro respectively. It can be said that the greatest development of malaria in the aforementioned areas is directly related to the environmental characteristics of the region, such as: vegetation, climate, sanitation and temperature, in addition to the population number and the flow of people. To minimize malaria in the regions, certain measures could be taken, such as, for example, improvement in basic sanitation with a focus on sewage treatment, improvement in housing conditions, awareness of the population along with constant home visits by health agents.A malária é um problema mundial de saúde pública que vem tendo um desenvolvimento significativo nos últimos tempos. O maior número de casos se concentra na região Amazônica, entretanto há uma carência de estudo sobre a doença nas outras regiões, como é o caso do estado do Rio de Janeiro. O principal objetivo é observar, através de cálculos de prevalência, as regiões e as cidades do estado do Rio de Janeiro mais afetadas. Os dados utilizados durante a pesquisa para a obtenção dos resultados foram adquiridos por meio do Banco de Dados do Sistema Único de Saúde (DATASUS). Com os valores de prevalência calculados, foram construídos gráficos distintos que possibilitaram a análise do desenvolvimento de malária nas regiões e cidades do estado. As regiões que se destacaram com maior prevalência da doença foram: Serrana, Norte e Metropolitana, juntamente às cidades de Santa Maria Madalena, Macaé e Rio de Janeiro respectivamente. Pode-se dizer que o maior desenvolvimento de malária nas áreas citadas está diretamente relacionado com as características ambientais da região como: vegetação, clima, saneamento e temperatura, além do número populacional e fluxo de pessoas. Para a minimização da malária nas regiões, determinadas medidas poderiam ser realizadas, como por exemplo, melhora no saneamento básico com foco no tratamento de esgoto, melhoria nas condições de habitação, conscientização da população juntamente à visitas domiciliares constantes por agentes de saúde.Faculdade de Medicina de Campos (FMC)2021-04-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.fmc.br/ojs/index.php/RCFMC/article/view/48610.29184/1980-7813.rcfmc.486.vol.16.n1.2021Scientific Journal of the Medical School of Campos; Vol. 16 No. 1 (2021); 34-41Revista Científica da Faculdade de Medicina de Campos; v. 16 n. 1 (2021); 34-411980-7813reponame:Revista Científica da Faculdade de Medicina de Camposinstname:Faculdade de Medicina de Campos (FMC)instacron:FMCporhttps://www.fmc.br/ojs/index.php/RCFMC/article/view/486/244Copyright (c) 2021 Revista Científica da Faculdade de Medicina de Camposhttps://creativecommons.org/licenses/by-sa/4.0info:eu-repo/semantics/openAccessCota, Camila SilvaViana, Romulo da SilvaSales, Diego da SilvaNunes, Camila HenriquesRibeiro, Karla RangelSales, Camila Mendonça Romero2021-05-14T19:24:04Zoai:ojs.www.fmc.br:article/486Revistahttps://www.fmc.br/ojs/index.php/RCFMC/PRIhttps://www.fmc.br/ojs/index.php/RCFMC/oai||revista@fmc.br1980-78131980-7813opendoar:2021-05-14T19:24:04Revista Científica da Faculdade de Medicina de Campos - Faculdade de Medicina de Campos (FMC)false |
dc.title.none.fl_str_mv |
Tracking malaria cases in the State of Rio de Janeiro from 2007 to 2017 RASTREAMENTO DOS CASOS DE MALÁRIA DO ESTADO DO RIO DE JANEIRO NO PERÍODO DE 2007 A 2017 |
title |
Tracking malaria cases in the State of Rio de Janeiro from 2007 to 2017 |
spellingShingle |
Tracking malaria cases in the State of Rio de Janeiro from 2007 to 2017 Cota, Camila Silva Malária Rio de Janeiro Prevalência |
title_short |
Tracking malaria cases in the State of Rio de Janeiro from 2007 to 2017 |
title_full |
Tracking malaria cases in the State of Rio de Janeiro from 2007 to 2017 |
title_fullStr |
Tracking malaria cases in the State of Rio de Janeiro from 2007 to 2017 |
title_full_unstemmed |
Tracking malaria cases in the State of Rio de Janeiro from 2007 to 2017 |
title_sort |
Tracking malaria cases in the State of Rio de Janeiro from 2007 to 2017 |
author |
Cota, Camila Silva |
author_facet |
Cota, Camila Silva Viana, Romulo da Silva Sales, Diego da Silva Nunes, Camila Henriques Ribeiro, Karla Rangel Sales, Camila Mendonça Romero |
author_role |
author |
author2 |
Viana, Romulo da Silva Sales, Diego da Silva Nunes, Camila Henriques Ribeiro, Karla Rangel Sales, Camila Mendonça Romero |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Cota, Camila Silva Viana, Romulo da Silva Sales, Diego da Silva Nunes, Camila Henriques Ribeiro, Karla Rangel Sales, Camila Mendonça Romero |
dc.subject.por.fl_str_mv |
Malária Rio de Janeiro Prevalência |
topic |
Malária Rio de Janeiro Prevalência |
description |
Malaria is a worldwide public health problem that has been experiencing significant development in recent times. The largest number of cases is concentrated in the Amazon Region, however there is a lack of studies on the disease in other regions, as is the case in the Rio de Janeiro State. The main objective is to observe, through prevalence calculations, the most affected regions and cities in the state of Rio de Janeiro. The data used during the research to obtain the results were acquired through the “Banco de Dados do Sistema Único de Saúde” (DATASUS). With the calculated prevalence values, different graphs were constructed that made it possible to analyze the development of malaria in the regions and cities of the state. The regions that stood out with the highest prevalence of the disease were: Serrana, Norte and Metropolitana, together with the cities of Santa Maria Madalena, Macaé and Rio de Janeiro respectively. It can be said that the greatest development of malaria in the aforementioned areas is directly related to the environmental characteristics of the region, such as: vegetation, climate, sanitation and temperature, in addition to the population number and the flow of people. To minimize malaria in the regions, certain measures could be taken, such as, for example, improvement in basic sanitation with a focus on sewage treatment, improvement in housing conditions, awareness of the population along with constant home visits by health agents. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-04-30 |
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://www.fmc.br/ojs/index.php/RCFMC/article/view/486 10.29184/1980-7813.rcfmc.486.vol.16.n1.2021 |
url |
https://www.fmc.br/ojs/index.php/RCFMC/article/view/486 |
identifier_str_mv |
10.29184/1980-7813.rcfmc.486.vol.16.n1.2021 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://www.fmc.br/ojs/index.php/RCFMC/article/view/486/244 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Revista Científica da Faculdade de Medicina de Campos https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Revista Científica da Faculdade de Medicina de Campos https://creativecommons.org/licenses/by-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Faculdade de Medicina de Campos (FMC) |
publisher.none.fl_str_mv |
Faculdade de Medicina de Campos (FMC) |
dc.source.none.fl_str_mv |
Scientific Journal of the Medical School of Campos; Vol. 16 No. 1 (2021); 34-41 Revista Científica da Faculdade de Medicina de Campos; v. 16 n. 1 (2021); 34-41 1980-7813 reponame:Revista Científica da Faculdade de Medicina de Campos instname:Faculdade de Medicina de Campos (FMC) instacron:FMC |
instname_str |
Faculdade de Medicina de Campos (FMC) |
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FMC |
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FMC |
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Revista Científica da Faculdade de Medicina de Campos |
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Revista Científica da Faculdade de Medicina de Campos |
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Revista Científica da Faculdade de Medicina de Campos - Faculdade de Medicina de Campos (FMC) |
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