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.info:eu-repo/semantics/publishedVersio