Hotspots and super-spreaders: Modelling fine-scale malaria parasite transmission using mosquito flight behaviour.

ABSTRACT: Malaria hotspots have been the focus of public health managers for several years due to the potential elimination gains that can be obtained from targeting them. The identification of hotspots must be accompanied by the description of the overall network of stable and unstable hotspots of malaria, especially in medium and low transmission settings where malaria elimination is targeted. Targeting hotspots with malaria control interventions has, so far, not produced expected benefits. In this work we have employed a mechanistic-stochastic algorithm to identify clusters of super-spreader houses and their related stable hotspots by accounting for mosquito flight capabilities and the spatial configuration of malaria infections at the house level. Our results show that the number of super-spread

SUBMITTER: Sedda L 

PROVIDER: S-EPMC9292116 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature