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

Author

Listed:
  • Sandra Moutinho

    (Departamento de Geografia, Faculdade de Letras e Centro de Estudos de Geografia e Ordenamento do Território, Universidade do Porto, 4150-564 Porto, Portugal)

  • Jorge Rocha

    (Instituto de Geografia e Ordenamento do Território, Universidade de Lisboa e Laboratório Associado Terra, 1600-276 Lisboa, Portugal)

  • Alberto Gomes

    (Departamento de Geografia, Faculdade de Letras e Centro de Estudos de Geografia e Ordenamento do Território, Universidade do Porto, 4150-564 Porto, Portugal)

  • Bernardo Gomes

    (EPIUnit–Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal
    Unidade de Saúde Pública Entre Douro e Vouga I. Administração Regional de Saúde do Norte, 4520-244 Porto, Portugal)

  • Ana Isabel Ribeiro

    (EPIUnit–Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal
    Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, 4200-319 Porto, Portugal
    Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Rua das Taipas 135, 4050-600 Porto, Portugal)

Abstract

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.

Suggested Citation

  • Sandra Moutinho & Jorge Rocha & Alberto Gomes & Bernardo Gomes & Ana Isabel Ribeiro, 2022. "Spatial Analysis of Mosquito-Borne Diseases in Europe: A Scoping Review," Sustainability, MDPI, vol. 14(15), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:8975-:d:868768
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    References listed on IDEAS

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    1. Adivânia Cardoso da Silva & Paulo Sérgio Scalize, 2023. "Environmental Variables Related to Aedes aegypti Breeding Spots and the Occurrence of Arbovirus Diseases," Sustainability, MDPI, vol. 15(10), pages 1-21, May.

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