02146nas a2200289 4500000000100000008004100001260002100042653001900063653002600082653001800108653002000126653001900146100002800165700002500193700002900218700002400247700003200271700003000303700002900333700002200362245010800384856008800492300001200580490000700592520124300599022001401842 2024 d bGSC Online Press10aRemote Sensing10aVector-Borne Diseases10aPublic Health10aDisease Ecology10aClimate Change1 aOluwole Olakunle Ajayi 1 aBusayo Wright-Ajayi 1 aLateefat Abiodun Mosaku 1 aGodson Kofi Davies 1 aKenechukwu Chiadika Moneke 1 aOluwaseun Regina Adeleke 1 aDamilola Sherifat Shaba 1 aOladimeji Mudele 00aApplication of satellite imagery for vector-borne disease monitoring in sub-Saharan Africa: An overview uhttps://gsconlinepress.com/journals/gscarr/sites/default/files/GSCARR-2024-0119.pdf a400-4110 v183 a
This work presents an overview of the application of satellite imagery or remote sensing (RS) data for vector-borne disease (VBD) monitoring in sub-Saharan Africa. We discussed the different vector-borne disease conditions that are prevalent and endemic in parts of sub-Saharan Africa and how satellite imagery (RS data) can be used in monitoring these conditions. Key disease conditions considered include malaria, human African trypanosomiasis, leishmaniasis, lymphatic filariasis, loa loa filariasis, rift valley fever, dengue, yellow fever, and rickettsioses. Furthermore, we explored some of the current ways remote sensing data and geographical information systems (GIS) are being applied to monitoring these diseases. We discuss the efficacy of using strong spatial modelling techniques combined with RS data to enhance our comprehension of the role that environmental conditions play in influencing VBD vectors and transmission alongside the utilization of GIS/RS technologies for vector-borne illness surveillance, prevention, and control. Finally, we discussed how drone technology and new remote sensing platforms can provide improved monitoring and the impact of such improvements from a population health standpoint.
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