Table 3.

Included studies covering spatio-temporal monitoring of disease spread with machine learning and Bayesian models and their key aspects.

Study	Key aspects
Stojanović et al. (41)	Introduced a spatio-temporal kernel function
Al-qaness et al. (42)	Forecast for the upcoming days with a fair amount of data
Fong et al. (43)	Develop forecasting model with insufficient amount of available data
Mehta et al. (44)	Estimate outbreak probability on county level
Pavlyshenko et al. (45)	Investigated impact on stock market
Suzuki et al. (46)	Use binary classification to see if number of cases will exceed a threshold
Ibrahim et al. (47)	Implement urban characteristics and index for NPIs
Nader et al. (48)	Estimate growth rate depending on specific NPI
Yeung et al. (49)	Compared non-time series ML algorithms to model pandemic

NPI, Non-Pharmaceutical Intervention; ML, machine learning.