Table 3.

List of applications used in public health.

Reference	Application	Feature	Study Finding	Analysis Perspective
[62]	Dynamic estimation of individual exposure to air pollution.	Spatiotemporal	The results show that exposure to nitrogen dioxide (NO2) goes up by 4.3% during the week and by 0.4% on the weekends. Due to the fact that, during the week, people who live in small towns near big cities are exposed to more NO2 because they work in these cities	People’s travel patterns
[63]	Estimation of human exposure to air pollution	Spatiotemporal	The results indicate that the home-based method (HBM), which assumes that all individuals spend the entire day at their homes (individuals who are not highly mobile), is still a useful measure for estimating their exposure to air pollution	Daily mobility patterns
[64]	Controlling the spread of dengue fever	Spatiotemporal, SMS	The results show that the spatially targeting SMS policy that encourages people to avoid and cancel trips to high importation risk areas can help to reduce the risk of disease spread	Spatiotemporal travel patterns
[65,66,67]	Controlling and measuring the spatial spread of malaria	Spatiotemporal	These studies prove that mobile phone data are effective in controlling and estimating the spread of malaria parasites by analyzing the mobility patterns of individuals in countries such as Bangladesh, South Africa, and Madagascar	Human travel patterns
[60]	Investigation of the correlation between mobility patterns and COVID-19 cases	Spatiotemporal	The results indicate that a decrease in human movement (a reduction in the number of individual trips) is associated with a decrease in the growth rate of COVID-19 cases	Human daily mobility patterns
[68]	Real-time predictions of human movement during the Tokyo earthquake	Spatiotemporal	The proposed assimilation method yields encouraging results for estimating the real-time movement of people during earthquakes	Real-time human movement