Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/39951 |
Resumo: | Dengue has broadened its global distribution substantially in the past two decades, and many endemic areas are experiencing increases in incidence. The Dominican Republic recently experienced its two largest outbreaks to date with 16,836 reported cases in 2015 and 20,123 reported cases in 2019. With continued increases in dengue transmission, developing tools to better prepare healthcare systems and mosquito control agencies is of critical importance. Before such tools can be developed, however, we must first better understand potential drivers of dengue transmission. To that end, we focus in this paper on determining relationships between climate variables and dengue transmission with an emphasis on eight provinces and the capital city of the Dominican Republic in the period 2015-2019. We present summary statistics for dengue cases, temperature, precipitation, and relative humidity in this period, and we conduct an analysis of correlated lags between climate variables and dengue cases as well as correlated lags among dengue cases in each of the nine locations. We find that the southwestern province of Barahona had the largest dengue incidence in both 2015 and 2019. Among all climate variables considered, lags between relative humidity variables and dengue cases were the most frequently correlated. We found that most locations had significant correlations with cases in other locations at lags of zero weeks. These results can be used to improve predictive models of dengue transmission in the country. |
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Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019Dominican RepublicDengueSpatial analysisCorrelation lagsDengue has broadened its global distribution substantially in the past two decades, and many endemic areas are experiencing increases in incidence. The Dominican Republic recently experienced its two largest outbreaks to date with 16,836 reported cases in 2015 and 20,123 reported cases in 2019. With continued increases in dengue transmission, developing tools to better prepare healthcare systems and mosquito control agencies is of critical importance. Before such tools can be developed, however, we must first better understand potential drivers of dengue transmission. To that end, we focus in this paper on determining relationships between climate variables and dengue transmission with an emphasis on eight provinces and the capital city of the Dominican Republic in the period 2015-2019. We present summary statistics for dengue cases, temperature, precipitation, and relative humidity in this period, and we conduct an analysis of correlated lags between climate variables and dengue cases as well as correlated lags among dengue cases in each of the nine locations. We find that the southwestern province of Barahona had the largest dengue incidence in both 2015 and 2019. Among all climate variables considered, lags between relative humidity variables and dengue cases were the most frequently correlated. We found that most locations had significant correlations with cases in other locations at lags of zero weeks. These results can be used to improve predictive models of dengue transmission in the country.BMC2024-01-04T15:49:24Z2023-06-02T00:00:00Z2023-06-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/39951eng10.1186/s41182-023-00517-9Robert, Michael A.Rodrigues, Helena SofiaHerrera, DemianCampos, Juan de Mata DonadoMorilla, FernandoDel Águila Mejía, JavierGuardado, María ElenaSkewes, RonaldColomé-Hidalgo, Manuelinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:17:51Zoai:ria.ua.pt:10773/39951Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:09:55.722582Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019 |
title |
Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019 |
spellingShingle |
Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019 Robert, Michael A. Dominican Republic Dengue Spatial analysis Correlation lags |
title_short |
Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019 |
title_full |
Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019 |
title_fullStr |
Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019 |
title_full_unstemmed |
Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019 |
title_sort |
Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019 |
author |
Robert, Michael A. |
author_facet |
Robert, Michael A. Rodrigues, Helena Sofia Herrera, Demian Campos, Juan de Mata Donado Morilla, Fernando Del Águila Mejía, Javier Guardado, María Elena Skewes, Ronald Colomé-Hidalgo, Manuel |
author_role |
author |
author2 |
Rodrigues, Helena Sofia Herrera, Demian Campos, Juan de Mata Donado Morilla, Fernando Del Águila Mejía, Javier Guardado, María Elena Skewes, Ronald Colomé-Hidalgo, Manuel |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Robert, Michael A. Rodrigues, Helena Sofia Herrera, Demian Campos, Juan de Mata Donado Morilla, Fernando Del Águila Mejía, Javier Guardado, María Elena Skewes, Ronald Colomé-Hidalgo, Manuel |
dc.subject.por.fl_str_mv |
Dominican Republic Dengue Spatial analysis Correlation lags |
topic |
Dominican Republic Dengue Spatial analysis Correlation lags |
description |
Dengue has broadened its global distribution substantially in the past two decades, and many endemic areas are experiencing increases in incidence. The Dominican Republic recently experienced its two largest outbreaks to date with 16,836 reported cases in 2015 and 20,123 reported cases in 2019. With continued increases in dengue transmission, developing tools to better prepare healthcare systems and mosquito control agencies is of critical importance. Before such tools can be developed, however, we must first better understand potential drivers of dengue transmission. To that end, we focus in this paper on determining relationships between climate variables and dengue transmission with an emphasis on eight provinces and the capital city of the Dominican Republic in the period 2015-2019. We present summary statistics for dengue cases, temperature, precipitation, and relative humidity in this period, and we conduct an analysis of correlated lags between climate variables and dengue cases as well as correlated lags among dengue cases in each of the nine locations. We find that the southwestern province of Barahona had the largest dengue incidence in both 2015 and 2019. Among all climate variables considered, lags between relative humidity variables and dengue cases were the most frequently correlated. We found that most locations had significant correlations with cases in other locations at lags of zero weeks. These results can be used to improve predictive models of dengue transmission in the country. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-06-02T00:00:00Z 2023-06-02 2024-01-04T15:49:24Z |
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.uri.fl_str_mv |
http://hdl.handle.net/10773/39951 |
url |
http://hdl.handle.net/10773/39951 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1186/s41182-023-00517-9 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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BMC |
publisher.none.fl_str_mv |
BMC |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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