Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases.

ABSTRACT: Malaria remains one of the most important infectious diseases globally due to its high incidence and mortality rates. The influx of infected cases from endemic to non-endemic malaria regions like Europe has resulted in a public health concern over sporadic local outbreaks. This is facilitated by the continued presence of competent Anopheles vectors in non-endemic countries.We modelled the potential distribution of the main malaria vector across Spain using the ensemble of eight modelling techniques based on environmental parameters and the Anopheles maculipennis s.l. presence/absence data collected from 2000 to 2020. We then combined this map with the number of imported malaria cases in each municipality to detect the geographic hot spots with a higher risk of local malaria t

SUBMITTER: Taheri S 

PROVIDER: S-EPMC11073426 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature