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University of South Florida (2016)

Development and Validation of a Remote Sensing Model to Identify Anthropogenic Boreholes

Kukat, James Pkemoi

Titre : Development and Validation of a Remote Sensing Model to Identify Anthropogenic Boreholes

Auteur : Kukat, James Pkemoi

Université de soutenance : University of South Florida

Grade : MS in Public Health (M.S.P.H.) 2016

Résumé
A lack of surveillance systems is an impediment to public health intervention for perennial vector-borne disease transmission in northern tropical savanna region of Kenya. The population in this area are mostly poor nomadic pastoralists with little acquired functional immunity to Plasmodium falciparum, due to infrequent challenges with the parasite. A common characteristic in tropical savanna climatic zone is the availability of riverbeds that have anthropogenic boreholes that provide malaria vector mosquitoes, such as Anopheles gambiae s.l and Anopheles funestus, with aquatic refuge habitats for proliferation and endemic transmission to proximity human households during the dry-season. Unfortunately, currently there have been no entomological investigations employing field or remotely sensed data that can characterize and model anthropogenic borehole habitats focusing on the dry-land ecology of immature Anopheles mosquitoes in sub-Sahara Africa.

Mots clés : Anthropogenic boreholes, Dry-seasonal rivers, Interpolating a spectral signature, Remote sensing model, Tropical savanna climate

Présentation de la thèse

Page publiée le 14 octobre 2016, mise à jour le 29 janvier 2018