Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review

Detalhes bibliográficos
Autor(a) principal: Moutinho, Sandra
Data de Publicação: 2022
Outros Autores: Rocha, Jorge, Gomes, Alberto, Gomes, Bernardo, Ribeiro, Ana Isabel
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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spelling 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
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dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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