ABSTRACT
Disease mapping and epidemiology (DME) makes use of disease maps to show complex geographic data that offer a high-level perspective of public health in any specific geographic region. Epidemiology is concerned with determining the causes of illnesses, which frequently vary in frequency and spatial distribution. This variance in space provided an opportunity for Remote Sensing (RS) to make its way into Public Health (PH), as clinical researchers tried to understand the environmental and climatic parameters that contributed to disease onset. Numerous studies have proven the potential of RS to treat DME and to aid in surveillance and protective measures. When paired with spatial analysis tools developed for Geographical Information System (GIS), RS imagery has the potential to assist and guide existing disease monitoring and control schemes at local, regional, and even continental scales. Additionally, researchers have examined the variables that influence the patterns and distributions of vector-borne illnesses across a range of landscape sizes. However, the effective deployment of RS technology is contingent upon the ability of non-experts and end-users to access, collect, and evaluate remotely sensed data. The investigation of various options and choices available with RS-based DME is portrayed with vibrant research opportunities available.
