Application of satellite imagery for vector-borne disease monitoring in sub-Saharan Africa: An overview
1 Department of Sustainability and Social Justice, Clark University, Worcester, Massachusetts, USA.
2 Ireti Resource Center, Programs Section, Women’s Rights and Health Project (WRAHP), Nigeria.
3 Department of Environmental Health, School of Public Health, University of Illinois at Springfield, USA.
4 Department of Nutrition, Harvard T.H. Chan School of Public Health, Massachusetts, USA.
Research Article
GSC Advanced Research and Reviews, 2024, 8(03), 400–411.
Article DOI: 10.30574/gscarr.2024.18.3.0119
Publication history:
Received on 19 February 2024; revised on 25 March 2024; accepted on 27 March 2024
Abstract:
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.
Keywords:
Remote Sensing; Vector-Borne Diseases; Public Health; Disease Ecology; Climate Change
Full text article in PDF:
Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
