Ecoepidemiology of Schistosomiasis mansoni in a rural area of Sergipe, Brazil
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/17484 |
Resumo: | Schistosomiasis mansoni is a severe water-borne parasitic disease which etiological agent is Schistosoma mansoni. Among the municipalities of Sergipe, Malhador, has one of the highest prevalence. The present research intends to describe the echoepidemiology of schistosomiasis mansoni in a rural community. A cross-sectional epidemiological study was carried out based on primary data resulting from malacological (light exposure technique) and coproscopic (Kato-Katz method) surveys A questionnaire was applied to evaluate the epidemiological variables of interest. In the descriptive data analysis, the software BioEstat (version 5.0) was used. The spatial analysis of the infection distribution in the studied locality was done through TerraView 4.2.0, using the kernel intensity estimator. The statistical analysis was performed through the Chi-Square Test and Multiple Logistic Regression. 95 people participated of the census survey. The prevalence was 45%. As for the parasite load, the mild infection prevailed (53.49%), followed by moderate (37.1%) and high (9.30%). Regarding the dichotomous epidemiological variables analyzed, the time of residence (OR = 11.5114), degree of contact with water (OR = 3.9383), knowledge about the disease (OR = 2.0148) and gender (OR = 1.5141) were highlighted. Nine breeding sites were detected and georeferenced. This study provided information that allows health services and public managers to plan, implement and evaluate the impact of measures to be taken to control the transmission of the disease. |
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Ecoepidemiology of Schistosomiasis mansoni in a rural area of Sergipe, BrazilEcoepidemiología de la Esquistosomosis mansoni en una zona rural de Sergipe, BrasilEcoepidemiologia da Esquistossomose mansoni em área rural de Sergipe, BrasilEsquistossomose mansoniAssentamentos ruraisSaneamentoSistema de informações geográficas.Esquistosomosis mansoniAsentamientos ruralesSaneamientoSistema de información geográfica.Schistosomiasis mansoniRural settlementsSanitationGeographic information system.Schistosomiasis mansoni is a severe water-borne parasitic disease which etiological agent is Schistosoma mansoni. Among the municipalities of Sergipe, Malhador, has one of the highest prevalence. The present research intends to describe the echoepidemiology of schistosomiasis mansoni in a rural community. A cross-sectional epidemiological study was carried out based on primary data resulting from malacological (light exposure technique) and coproscopic (Kato-Katz method) surveys A questionnaire was applied to evaluate the epidemiological variables of interest. In the descriptive data analysis, the software BioEstat (version 5.0) was used. The spatial analysis of the infection distribution in the studied locality was done through TerraView 4.2.0, using the kernel intensity estimator. The statistical analysis was performed through the Chi-Square Test and Multiple Logistic Regression. 95 people participated of the census survey. The prevalence was 45%. As for the parasite load, the mild infection prevailed (53.49%), followed by moderate (37.1%) and high (9.30%). Regarding the dichotomous epidemiological variables analyzed, the time of residence (OR = 11.5114), degree of contact with water (OR = 3.9383), knowledge about the disease (OR = 2.0148) and gender (OR = 1.5141) were highlighted. Nine breeding sites were detected and georeferenced. This study provided information that allows health services and public managers to plan, implement and evaluate the impact of measures to be taken to control the transmission of the disease.La Esquistosomosis mansoni es una enfermedad parasitaria grave transmitida por el agua cuyo agente etiológico es el Schistosoma mansoni. Entre los municipios de Sergipe, Malhador tiene uno de los de mayor prevalencia. La presente investigación pretende describir la ecoepidemiología de la esquistosomosis mansoni en una comunidad rural. Se realizó un estudio epidemiológico transversal a partir de los datos primarios resultantes de una encuesta malacológica (técnica de exposición a la luz) y coproscópica (método de Kato-Katz), aplicándose un cuestionario para evaluar las variables epidemiológicas de interés. En el análisis descriptivo de los datos se utilizó el software BioEstat (versión 5.0). El análisis espacial de la distribución de la infección en la localidad estudiada se realizó a través de TerraView 4.2.0, utilizando el estimador de intensidad de Kernel. El análisis estadístico se realizó mediante la prueba de Chi-Cuadrado y Regresión Logística Múltiple. 95 personas participaron de la encuesta. La prevalencia fue del 45%. En cuanto a la carga parasitaria, predominó la infección leve (53,49%), seguida de la moderada (37,1%) y alta (9,30%). En cuanto a las variables epidemiológicas dicotómicas analizadas, el tiempo de residencia (OR = 11,5114), el grado de contacto con el agua (OR = 3.9383), el conocimiento sobre la enfermedad (OR = 2.0148) y el sexo (OR = 1.5141) fueron destacados. Se detectaron y georreferenciaron nueve criaderos. Este estudio aporta información que permite a los servicios de salud y a los gestores públicos planificar, implementar y evaluar el impacto de las medidas a tomar para controlar la transmisión de la enfermedad.A Esquistossomose mansoni é uma doença parasitária grave de veiculação hídrica cujo agente etiológico é o Schistosoma mansoni. Entre os municípios sergipanos, Malhador apresenta uma das maiores prevalências. A presente pesquisa pretende descrever a ecoepidemiologia da esquistossomose mansoni em uma comunidade rural. Realizou-se estudo epidemiológico transversal com base em dados primários de inquéritos malacológicos (técnica de exposição à luz) e coproscópicos (método Kato-Katz). Foi aplicado questionário para avaliação das variáveis epidemiológicas de interesse. Na análise descritiva dos dados, foi utilizado o software BioEstat (versão 5.0). A análise espacial da distribuição da infecção na localidade estudada foi feita através do TerraView 4.2.0, utilizando o estimador de intensidade de kernel. A análise estatística foi realizada por meio do Teste Qui-Quadrado e Regressão Logística Múltipla. 95 pessoas participaram da pesquisa do censo. A prevalência foi de 45%. Quanto à carga parasitária, prevaleceu a infecção leve (53,49%), seguida de moderada (37,1%) e alta (9,30%). Em relação às variáveis epidemiológicas dicotômicas analisadas, destacaram-se o tempo de residência (OR = 11,5114), o grau de contato com a água (OR = 3,9383), o conhecimento sobre a doença (OR = 2,0148) e o sexo (OR = 1,5141). Nove criadouros foram detectados e georreferenciados. Este estudo forneceu informações que permitem aos serviços de saúde e gestores públicos planejar, implementar e avaliar o impacto das medidas a serem tomadas para o controle da transmissão da doença.Research, Society and Development2021-07-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1748410.33448/rsd-v10i8.17484Research, Society and Development; Vol. 10 No. 8; e37710817484Research, Society and Development; Vol. 10 Núm. 8; e37710817484Research, Society and Development; v. 10 n. 8; e377108174842525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/17484/15592Copyright (c) 2021 Silvana Cecilia Vega González; Yanna Menezes Barbosa; Andréa Costa de Oliveira; Karina Conceição Gomes Machado de Araujohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGonzález, Silvana Cecilia Vega Barbosa, Yanna Menezes Oliveira, Andréa Costa de Araujo, Karina Conceição Gomes Machado de 2021-08-21T18:46:59Zoai:ojs.pkp.sfu.ca:article/17484Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:37:48.569615Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Ecoepidemiology of Schistosomiasis mansoni in a rural area of Sergipe, Brazil Ecoepidemiología de la Esquistosomosis mansoni en una zona rural de Sergipe, Brasil Ecoepidemiologia da Esquistossomose mansoni em área rural de Sergipe, Brasil |
title |
Ecoepidemiology of Schistosomiasis mansoni in a rural area of Sergipe, Brazil |
spellingShingle |
Ecoepidemiology of Schistosomiasis mansoni in a rural area of Sergipe, Brazil González, Silvana Cecilia Vega Esquistossomose mansoni Assentamentos rurais Saneamento Sistema de informações geográficas. Esquistosomosis mansoni Asentamientos rurales Saneamiento Sistema de información geográfica. Schistosomiasis mansoni Rural settlements Sanitation Geographic information system. |
title_short |
Ecoepidemiology of Schistosomiasis mansoni in a rural area of Sergipe, Brazil |
title_full |
Ecoepidemiology of Schistosomiasis mansoni in a rural area of Sergipe, Brazil |
title_fullStr |
Ecoepidemiology of Schistosomiasis mansoni in a rural area of Sergipe, Brazil |
title_full_unstemmed |
Ecoepidemiology of Schistosomiasis mansoni in a rural area of Sergipe, Brazil |
title_sort |
Ecoepidemiology of Schistosomiasis mansoni in a rural area of Sergipe, Brazil |
author |
González, Silvana Cecilia Vega |
author_facet |
González, Silvana Cecilia Vega Barbosa, Yanna Menezes Oliveira, Andréa Costa de Araujo, Karina Conceição Gomes Machado de |
author_role |
author |
author2 |
Barbosa, Yanna Menezes Oliveira, Andréa Costa de Araujo, Karina Conceição Gomes Machado de |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
González, Silvana Cecilia Vega Barbosa, Yanna Menezes Oliveira, Andréa Costa de Araujo, Karina Conceição Gomes Machado de |
dc.subject.por.fl_str_mv |
Esquistossomose mansoni Assentamentos rurais Saneamento Sistema de informações geográficas. Esquistosomosis mansoni Asentamientos rurales Saneamiento Sistema de información geográfica. Schistosomiasis mansoni Rural settlements Sanitation Geographic information system. |
topic |
Esquistossomose mansoni Assentamentos rurais Saneamento Sistema de informações geográficas. Esquistosomosis mansoni Asentamientos rurales Saneamiento Sistema de información geográfica. Schistosomiasis mansoni Rural settlements Sanitation Geographic information system. |
description |
Schistosomiasis mansoni is a severe water-borne parasitic disease which etiological agent is Schistosoma mansoni. Among the municipalities of Sergipe, Malhador, has one of the highest prevalence. The present research intends to describe the echoepidemiology of schistosomiasis mansoni in a rural community. A cross-sectional epidemiological study was carried out based on primary data resulting from malacological (light exposure technique) and coproscopic (Kato-Katz method) surveys A questionnaire was applied to evaluate the epidemiological variables of interest. In the descriptive data analysis, the software BioEstat (version 5.0) was used. The spatial analysis of the infection distribution in the studied locality was done through TerraView 4.2.0, using the kernel intensity estimator. The statistical analysis was performed through the Chi-Square Test and Multiple Logistic Regression. 95 people participated of the census survey. The prevalence was 45%. As for the parasite load, the mild infection prevailed (53.49%), followed by moderate (37.1%) and high (9.30%). Regarding the dichotomous epidemiological variables analyzed, the time of residence (OR = 11.5114), degree of contact with water (OR = 3.9383), knowledge about the disease (OR = 2.0148) and gender (OR = 1.5141) were highlighted. Nine breeding sites were detected and georeferenced. This study provided information that allows health services and public managers to plan, implement and evaluate the impact of measures to be taken to control the transmission of the disease. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-14 |
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://rsdjournal.org/index.php/rsd/article/view/17484 10.33448/rsd-v10i8.17484 |
url |
https://rsdjournal.org/index.php/rsd/article/view/17484 |
identifier_str_mv |
10.33448/rsd-v10i8.17484 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/17484/15592 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 8; e37710817484 Research, Society and Development; Vol. 10 Núm. 8; e37710817484 Research, Society and Development; v. 10 n. 8; e37710817484 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052682472521728 |