Spatial analysis of mosquito-borne diseases in Europe: a scoping review

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Moutinho, Sandra (Author) Other; Rocha, Jorge (Author) Other; Gomes, António Alberto (Author) FLUP; Gomes, Bernardo (Author) FMUP; Ribeiro, Ana Isabel (Author) Other

Journal

Title: Sustainability

Serial No. Art. 8975 Vol. 14 No. 15

ISSN: 2071-1050

Publisher: MDPI

Indexing

ISI Web of Science

Scopus

ProQuest

Worldcat OCLC

DOAJ

ERIH Plus

SHERPA/RoMEO

Google Scholar

INSPEC

Current Contents

Other information

DOI: 10.3390/su14158975

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 20