Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/10451/53953 |
Resumo: | Mosquito-borne infections are increasing in endemic areas and previously unaffected regions. In 2020, the notification rate for Dengue was 0.5 cases per 100,000 population, and for Chikungunya <0.1/100,000. In 2019, the rate for Malaria was 1.3/100,000, and for West Nile Virus, 0.1/100,000. Spatial analysis is increasingly used in surveillance and epidemiological investigation, but reviews about their use in this research topic are scarce. We identify and describe the methodological approaches used to investigate the distribution and ecological determinants of mosquito-borne infections in Europe. Relevant literature was extracted from PubMed, Scopus, and Web of Science from inception until October 2021 and analysed according to PRISMA-ScR protocol. We identified 110 studies. Most used geographical correlation analysis (n = 50), mainly applying generalised linear models, and the remaining used spatial cluster detection (n = 30) and disease mapping (n = 30), mainly conducted using frequentist approaches. The most studied infections were Dengue (n = 32), Malaria (n = 26), Chikungunya (n = 26), and West Nile Virus (n = 24), and the most studied ecological determinants were temperature (n = 39), precipitation (n = 24), water bodies (n = 14), and vegetation (n = 11). Results from this review may support public health programs for mosquito-borne disease prevention and may help guide future research, as we recommended various good practices for spatial epidemiological studies. |
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Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping ReviewVector-borne diseasesSpatial analysisGeographic distributionGISEuropeMosquito-borne infections are increasing in endemic areas and previously unaffected regions. In 2020, the notification rate for Dengue was 0.5 cases per 100,000 population, and for Chikungunya <0.1/100,000. In 2019, the rate for Malaria was 1.3/100,000, and for West Nile Virus, 0.1/100,000. Spatial analysis is increasingly used in surveillance and epidemiological investigation, but reviews about their use in this research topic are scarce. We identify and describe the methodological approaches used to investigate the distribution and ecological determinants of mosquito-borne infections in Europe. Relevant literature was extracted from PubMed, Scopus, and Web of Science from inception until October 2021 and analysed according to PRISMA-ScR protocol. We identified 110 studies. Most used geographical correlation analysis (n = 50), mainly applying generalised linear models, and the remaining used spatial cluster detection (n = 30) and disease mapping (n = 30), mainly conducted using frequentist approaches. The most studied infections were Dengue (n = 32), Malaria (n = 26), Chikungunya (n = 26), and West Nile Virus (n = 24), and the most studied ecological determinants were temperature (n = 39), precipitation (n = 24), water bodies (n = 14), and vegetation (n = 11). Results from this review may support public health programs for mosquito-borne disease prevention and may help guide future research, as we recommended various good practices for spatial epidemiological studies.MDPIRepositório da Universidade de LisboaMoutinho, SandraRocha, JorgeGomes, AlbertoGomes, BernardoRibeiro, Ana Isabel2022-07-26T11:25:22Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/53953engMoutinho, S., Rocha, J., Gomes, A., Gomes, B., & Ribeiro, A. I. (2022). Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review. Sustainability, 14(15), 8975. https://doi.org/10.3390/su141589752071-105010.3390/su14158975info: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:RCAAP2023-11-08T17:00:15Zoai:repositorio.ul.pt:10451/53953Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:04:56.316579Repositório 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 |
Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review |
title |
Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review |
spellingShingle |
Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review Moutinho, Sandra Vector-borne diseases Spatial analysis Geographic distribution GIS Europe |
title_short |
Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review |
title_full |
Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review |
title_fullStr |
Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review |
title_full_unstemmed |
Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review |
title_sort |
Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review |
author |
Moutinho, Sandra |
author_facet |
Moutinho, Sandra Rocha, Jorge Gomes, Alberto Gomes, Bernardo Ribeiro, Ana Isabel |
author_role |
author |
author2 |
Rocha, Jorge Gomes, Alberto Gomes, Bernardo Ribeiro, Ana Isabel |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Moutinho, Sandra Rocha, Jorge Gomes, Alberto Gomes, Bernardo Ribeiro, Ana Isabel |
dc.subject.por.fl_str_mv |
Vector-borne diseases Spatial analysis Geographic distribution GIS Europe |
topic |
Vector-borne diseases Spatial analysis Geographic distribution GIS Europe |
description |
Mosquito-borne infections are increasing in endemic areas and previously unaffected regions. In 2020, the notification rate for Dengue was 0.5 cases per 100,000 population, and for Chikungunya <0.1/100,000. In 2019, the rate for Malaria was 1.3/100,000, and for West Nile Virus, 0.1/100,000. Spatial analysis is increasingly used in surveillance and epidemiological investigation, but reviews about their use in this research topic are scarce. We identify and describe the methodological approaches used to investigate the distribution and ecological determinants of mosquito-borne infections in Europe. Relevant literature was extracted from PubMed, Scopus, and Web of Science from inception until October 2021 and analysed according to PRISMA-ScR protocol. We identified 110 studies. Most used geographical correlation analysis (n = 50), mainly applying generalised linear models, and the remaining used spatial cluster detection (n = 30) and disease mapping (n = 30), mainly conducted using frequentist approaches. The most studied infections were Dengue (n = 32), Malaria (n = 26), Chikungunya (n = 26), and West Nile Virus (n = 24), and the most studied ecological determinants were temperature (n = 39), precipitation (n = 24), water bodies (n = 14), and vegetation (n = 11). Results from this review may support public health programs for mosquito-borne disease prevention and may help guide future research, as we recommended various good practices for spatial epidemiological studies. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-26T11:25:22Z 2022 2022-01-01T00:00:00Z |
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/10451/53953 |
url |
http://hdl.handle.net/10451/53953 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Moutinho, S., Rocha, J., Gomes, A., Gomes, B., & Ribeiro, A. I. (2022). Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review. Sustainability, 14(15), 8975. https://doi.org/10.3390/su14158975 2071-1050 10.3390/su14158975 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
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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 |
reponame_str |
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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