Renzhong Li, Weiwei Cui, Tianqi Song, Xiao Xie, Rui Ding, Yun Wang, Haidong Zhang, Hong Zhou, Yingcai Wu
Causality-Based Visual Analysis of Questionnaire Responses
IEEE transactions on visualization and computer graphics
mathematical modeling tool used understanding diseases dynamics discretetime model especial case modeling satisfactorily describes epidemiological dynamics discrete nature real data however discrete models reduce descriptive fitting potential assuming homogeneous population thus paper proposed contagion probability functions according two infection paradigms consider factors associated transmission dynamics example introduced probabilities establishing infectious interaction number contacts infectious level connectivity social distance within populations probabilities design overcame homogeneity assumption also evaluated proposed probabilities introduction discretetime models two diseases different study zones real data covid19 germany south korea dengue colombia also described oscillatory dynamics last one using contagion probabilities alongside parameters biological sense finally highlight implementation proposed probabilities would improve simulation public policy effect control strategies infectious disease outbreak