A stochastic epidemic model coupled with seasonal air pollution: analysis and data fitting

• Published in: Stochastic environmental research and risk assessment Vol. 34; no. 12; pp. 2245 - 2257
• Main Authors: He, Sha, Tang, Sanyi, Cai, Yongli, Wang, Weiming, Rong, Libin
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020; Springer Nature B.V
• Subjects: Air pollution; Air pollution control; Air quality; Aquatic Pollution; Chemistry and Earth Sciences; Computational Intelligence; Computer Science; Differential equations; Disease; Disease spread; Disease transmission; Earth and Environmental Science; Earth Sciences; Environment; Epidemic models; Epidemics; Influenza; Math. Appl. in Environmental Science; Original Paper; Outbreaks; Periodicity; Physics; Pollutant removal; Pollutants; Probability Theory and Stochastic Processes; Respiratory diseases; Statistics for Engineering; Stochastic models; Waste Water Technology; Water Management; Water Pollution Control; Air pollution; Parameter estimation; Respiratory disease; Stochastic periodic model

Air pollution increases the risk of getting respiratory diseases. Both the removal of air pollutants and the transmission of diseases can be influenced by random perturbations. In this work, we develop a stochastic differential equation (SDE) model, coupled with seasonal air pollution, to study the...