Fine-scale mapping of urban malaria exposure under data scarcity: an approach centred on vector ecology.

ABSTRACT:

Background

Although malaria transmission has experienced an overall decline in sub-Saharan Africa, urban malaria is now considered an emerging health issue due to rapid and uncontrolled urbanization and the adaptation of vectors to urban environments. Fine-scale hazard and exposure maps are required to support evidence-based policies and targeted interventions, but data-driven predictive spatial modelling is hindered by gaps in epidemiological and entomological data. A knowledge-based geospatial framework is proposed for mapping the heterogeneity of urban malaria hazard and exposure under data scarcity. It builds on proven geospatial methods, implements open-source algorithms, and relies heavily on vector ecology knowledge and the involvement of local experts.

Methods

A work

SUBMITTER: Vanhuysse S 

PROVIDER: S-EPMC10069057 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature