Unknown

Dataset Information

Utilization of vector bionomics, remote sensing and larval habitat characterization data to inform larval source management decision in the high malaria burden state of Kebbi, Nigeria.


ABSTRACT:

Background

Malaria remains a public health challenge with Nigeria having the highest burden in cases and deaths worldwide. Increased outdoor and indoor biting of Anopheles gambiae sensu lato (s.l.) and large gaps in protection have become emerging challenges threatening malaria control efforts in Kebbi State, Nigeria. This study provided data on vector behaviour, the distribution, diversity, and other characteristics of larval habitats to inform the feasibility of larval source management in the state.

Methods

Routine entomological data were comparatively analyzed across six entomological monitoring sites located in Akwa Ibom, Ebonyi, Kebbi, Oyo, Plateau and Sokoto states in Nigeria. With a focus on Kebbi State, using Geographical Information System (GIS) data integrated wit

SUBMITTER: Oduola AO 

PROVIDER: S-EPMC12581326 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature