@article{99938,
  keywords = {Remote Sensing, Vector-Borne Diseases, Public Health, Disease Ecology, Climate Change},
  author = {Oluwole Olakunle Ajayi  and Busayo Wright-Ajayi  and Lateefat Abiodun Mosaku  and Godson Kofi Davies  and Kenechukwu Chiadika Moneke  and Oluwaseun Regina Adeleke  and Damilola Sherifat Shaba  and Oladimeji Mudele },
  title = {Application of satellite imagery for vector-borne disease monitoring in sub-Saharan Africa: An overview},
  abstract = {<p>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.</p>
},
  year = {2024},
  journal = {GSC Advanced Research and Reviews},
  volume = {18},
  pages = {400-411},
  publisher = {GSC Online Press},
  issn = {2582-4597},
  url = {https://gsconlinepress.com/journals/gscarr/sites/default/files/GSCARR-2024-0119.pdf},
  doi = {10.30574/gscarr.2024.18.3.0119},
  language = {Eng},
}