Spatial analysis of dengue cases in a municipality in the semi-arid pernambucano
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/15473 |
Resumo: | Brazilian semiarid is compound of more than 1,260 municipalities, comprising states of northeastern and northern Minas Gerais. Due to periods of prolonged drought, residents store water indiscriminately, favoring the proliferation of Aedes aegypti, transmitter of arboviruses. Therefore, this paper aimed to analyze the distribution of confirmed cases, as well as the number of eggs collected by ovitraps, correlating them with meteorological variables in a municipality of semiarid region. Secondary data were collected regarding the number of cases, number of eggs per ovitrap (infestation), meteorological variables for the period 2010-2013. Then, a spatial database, subsequent spatial distribution analysis using the method Inverse Distance (IDW), statistical analysis of correlation between meteorological variables, number of confirmed cases and infestation was done. It was observed that correlation between temperature and humidity, with confirmed cases, was considered weak. While precipitation in 2012 showed a strong correlation. However, these same variables were considered weak in 2013. Regarding the spatial distribution of confirmed cases, there was a concentration in the most densely populated neighborhoods. Thus, it was concluded that geotechnology enables the identification of risk areas, helping to realize more efficient strategies. |
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Spatial analysis of dengue cases in a municipality in the semi-arid pernambucanoAnálisis espacial de casos de dengue en un municipio del semiarido pernambucanoAnálise espacial de casos de dengue em município no semiárido pernambucanoAedes aegyptiGeotecnologiaInfestación.Aedes aegyptiGeotecnologiasInfestação.Aedes aegyptiGeotecnologyInfestation. Brazilian semiarid is compound of more than 1,260 municipalities, comprising states of northeastern and northern Minas Gerais. Due to periods of prolonged drought, residents store water indiscriminately, favoring the proliferation of Aedes aegypti, transmitter of arboviruses. Therefore, this paper aimed to analyze the distribution of confirmed cases, as well as the number of eggs collected by ovitraps, correlating them with meteorological variables in a municipality of semiarid region. Secondary data were collected regarding the number of cases, number of eggs per ovitrap (infestation), meteorological variables for the period 2010-2013. Then, a spatial database, subsequent spatial distribution analysis using the method Inverse Distance (IDW), statistical analysis of correlation between meteorological variables, number of confirmed cases and infestation was done. It was observed that correlation between temperature and humidity, with confirmed cases, was considered weak. While precipitation in 2012 showed a strong correlation. However, these same variables were considered weak in 2013. Regarding the spatial distribution of confirmed cases, there was a concentration in the most densely populated neighborhoods. Thus, it was concluded that geotechnology enables the identification of risk areas, helping to realize more efficient strategies.El semiárido brasileño tiene más de 1.260 municipios, formados por los estados nororiental y norteño de Minas Gerais. Debido a un período prolongado de sequía, los residentes almacenan agua de manera indiscriminada, lo que favorece la proliferación de Aedes aegypti, transmisor de arbovirus. Por tanto, el objetivo fue analizar la distribución de casos confirmados, así como el número de huevos recolectados por ovitrampas, correlacionándolos con variables meteorológicas, en un municipio de una región semiárida. Se recolectaron datos secundarios con respecto al número de casos, número de huevos por ovitrampa (infestación), variables meteorológicas para el período de 2010 a 2013. Luego, una base de datos espacial y posterior análisis de distribución espacial utilizando un método de Distancia Inversa (IDW), además del análisis estadístico de correlación entre variables meteorológicas, número de casos confirmados e infestación. Se observó que la correlación entre temperatura y humedad, con casos confirmados, se consideró débil, mientras que la precipitación en 2012 mostró una fuerte correlación. Sin embargo, estas mismas variables fueron consideradas débiles en 2013. En cuanto a la distribución espacial de los casos confirmados, hubo una concentración en los barrios con mayor densidad poblacional. Así, la geotecnología permite identificar áreas de riesgo, ayudando en la construcción de estrategias eficientes.O semiárido brasileiro possui mais de 1.260 municípios, formado pelos Estados do nordeste e norte de Minas Gerais. Devido a período de estiagem prolongada, os moradores armazenam água indiscriminadamente, favorecendo a proliferação do Aedes aegypti, transmissor de arboviroses. Portanto, objetivou-se analisar a distribuição dos casos confirmados, bem como, número de ovos coletados por ovitrampas, correlacionado-os com variáveis meteorológicas, em um município de região semiárida. Coletou-se dados secundários a respeito do número de casos, número de ovos por ovitrampa (infestação), variáveis meteorológicas referentes ao período de 2010 a 2013. Em seguida, confeccionou-se um banco de dados espacial e subsequente análise de distribuição espacial com método do Inverso da Distância (IDW), além da análise estatística de correlação entre as variáveis meteorológicas, número de casos confirmados e infestação. Observou-se que a correlação entre temperatura e umidade, com casos confirmados, foi considerada fraca, enquanto a precipitação em 2012 apresentou uma correlação forte. Porém, estas mesmas variáveis foram consideradas fraca em 2013. Em relação a distribuição espacial dos casos confirmados, houve uma concentração nos bairros de maior densidade populacional. Assim, a geotecnologia possibilita a identificação de áreas de risco, auxiliando na construção de estratégias eficientes.Research, Society and Development2021-05-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1547310.33448/rsd-v10i6.15473Research, Society and Development; Vol. 10 No. 6; e8510615473Research, Society and Development; Vol. 10 Núm. 6; e8510615473Research, Society and Development; v. 10 n. 6; e85106154732525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/15473/13885Copyright (c) 2021 Plinio Pereira Gomes Junior; Alan Cezar Bezerra; Edimir Xavier Leal Ferrazhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGomes Junior, Plinio Pereira Bezerra, Alan Cezar Ferraz, Edimir Xavier Leal 2021-06-10T22:51:46Zoai:ojs.pkp.sfu.ca:article/15473Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:36:17.502684Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Spatial analysis of dengue cases in a municipality in the semi-arid pernambucano Análisis espacial de casos de dengue en un municipio del semiarido pernambucano Análise espacial de casos de dengue em município no semiárido pernambucano |
title |
Spatial analysis of dengue cases in a municipality in the semi-arid pernambucano |
spellingShingle |
Spatial analysis of dengue cases in a municipality in the semi-arid pernambucano Gomes Junior, Plinio Pereira Aedes aegypti Geotecnologia Infestación. Aedes aegypti Geotecnologias Infestação. Aedes aegypti Geotecnology Infestation. |
title_short |
Spatial analysis of dengue cases in a municipality in the semi-arid pernambucano |
title_full |
Spatial analysis of dengue cases in a municipality in the semi-arid pernambucano |
title_fullStr |
Spatial analysis of dengue cases in a municipality in the semi-arid pernambucano |
title_full_unstemmed |
Spatial analysis of dengue cases in a municipality in the semi-arid pernambucano |
title_sort |
Spatial analysis of dengue cases in a municipality in the semi-arid pernambucano |
author |
Gomes Junior, Plinio Pereira |
author_facet |
Gomes Junior, Plinio Pereira Bezerra, Alan Cezar Ferraz, Edimir Xavier Leal |
author_role |
author |
author2 |
Bezerra, Alan Cezar Ferraz, Edimir Xavier Leal |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Gomes Junior, Plinio Pereira Bezerra, Alan Cezar Ferraz, Edimir Xavier Leal |
dc.subject.por.fl_str_mv |
Aedes aegypti Geotecnologia Infestación. Aedes aegypti Geotecnologias Infestação. Aedes aegypti Geotecnology Infestation. |
topic |
Aedes aegypti Geotecnologia Infestación. Aedes aegypti Geotecnologias Infestação. Aedes aegypti Geotecnology Infestation. |
description |
Brazilian semiarid is compound of more than 1,260 municipalities, comprising states of northeastern and northern Minas Gerais. Due to periods of prolonged drought, residents store water indiscriminately, favoring the proliferation of Aedes aegypti, transmitter of arboviruses. Therefore, this paper aimed to analyze the distribution of confirmed cases, as well as the number of eggs collected by ovitraps, correlating them with meteorological variables in a municipality of semiarid region. Secondary data were collected regarding the number of cases, number of eggs per ovitrap (infestation), meteorological variables for the period 2010-2013. Then, a spatial database, subsequent spatial distribution analysis using the method Inverse Distance (IDW), statistical analysis of correlation between meteorological variables, number of confirmed cases and infestation was done. It was observed that correlation between temperature and humidity, with confirmed cases, was considered weak. While precipitation in 2012 showed a strong correlation. However, these same variables were considered weak in 2013. Regarding the spatial distribution of confirmed cases, there was a concentration in the most densely populated neighborhoods. Thus, it was concluded that geotechnology enables the identification of risk areas, helping to realize more efficient strategies. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-21 |
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/15473 10.33448/rsd-v10i6.15473 |
url |
https://rsdjournal.org/index.php/rsd/article/view/15473 |
identifier_str_mv |
10.33448/rsd-v10i6.15473 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/15473/13885 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Plinio Pereira Gomes Junior; Alan Cezar Bezerra; Edimir Xavier Leal Ferraz https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Plinio Pereira Gomes Junior; Alan Cezar Bezerra; Edimir Xavier Leal Ferraz 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. 6; e8510615473 Research, Society and Development; Vol. 10 Núm. 6; e8510615473 Research, Society and Development; v. 10 n. 6; e8510615473 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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1797052677610274816 |