Improved susceptible–infectious–susceptible epidemic equations based on uncertainties and autocorrelation functions - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Roy.Soc.Open Sci. Année : 2020

Improved susceptible–infectious–susceptible epidemic equations based on uncertainties and autocorrelation functions

Résumé

Compartmental equations are primary tools in the study of disease spreading processes. They provide accurate predictions for large populations but poor results whenever the integer nature of the number of agents is evident. In the latter instance, uncertainties are relevant factors for pathogen transmission. Starting from the agent-based approach, we investigate the role of uncertainties and autocorrelation functions in the susceptible–infectious–susceptible (SIS) epidemic model, including their relationship with epidemiological variables. We find new differential equations that take uncertainties into account. The findings provide improved equations, offering new insights on disease spreading processes.

Dates et versions

hal-02518155 , version 1 (25-03-2020)

Identifiants

Citer

Gilberto M. Nakamura, George C. Cardoso, Alexandre S. Martinez. Improved susceptible–infectious–susceptible epidemic equations based on uncertainties and autocorrelation functions. Roy.Soc.Open Sci., 2020, 7 (2), pp.191504. ⟨10.1098/rsos.191504⟩. ⟨hal-02518155⟩
18 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More