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Effect of Human Mobility on the Spatial Spread of Airborne Diseases: An Epidemic Model with Indirect Transmission.
David, Jummy F; Iyaniwura, Sarafa A.
  • David JF; Department of Mathematics and Statistics, York University, Toronto, ON, Canada. jummy30@yorku.ca.
  • Iyaniwura SA; Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada. jummy30@yorku.ca.
Bull Math Biol ; 84(6): 63, 2022 05 04.
Article in English | MEDLINE | ID: covidwho-1824785
ABSTRACT
We extended a class of coupled PDE-ODE models for studying the spatial spread of airborne diseases by incorporating human mobility. Human populations are modeled with patches, and a Lagrangian perspective is used to keep track of individuals' places of residence. The movement of pathogens in the air is modeled with linear diffusion and coupled to the SIR dynamics of each human population through an integral of the density of pathogens around the population patches. In the limit of fast diffusion pathogens, the method of matched asymptotic analysis is used to reduce the coupled PDE-ODE model to a nonlinear system of ODEs for the average density of pathogens in the air. The reduced system of ODEs is used to derive the basic reproduction number and the final size relation for the model. Numerical simulations of the full PDE-ODE model and the reduced system of ODEs are used to assess the impact of human mobility, together with the diffusion of pathogens on the dynamics of the disease. Results from the two models are consistent and show that human mobility significantly affects disease dynamics. In addition, we show that an increase in the diffusion rate of pathogen leads to a lower epidemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Diseases / Epidemics Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Bull Math Biol Year: 2022 Document Type: Article Affiliation country: S11538-022-01020-8

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Diseases / Epidemics Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Bull Math Biol Year: 2022 Document Type: Article Affiliation country: S11538-022-01020-8