scholarly journals Comparison of pandemic intervention policies in several building types using heterogeneous population model

Author(s):  
Teddy Lazebnik ◽  
Ariel Alexi
1972 ◽  
Vol 2 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Wayne Ewy ◽  
Eugene Ackerman ◽  
Laël C. Gatewood ◽  
Lila Elveback ◽  
John P. Fox

2021 ◽  
Author(s):  
Teddy Lazebnik ◽  
Ariel Alexi

In a world where pandemics are a matter of time and increasing urbanization of the world's population, governments should be prepared with pandemic intervention policies (IPs) to minimize the crisis direct and indirect adverse effects while keeping normal life as much as possible. Successful pandemic IPs have to take into consideration the heterogeneous behavior of individuals in different types of buildings and social contexts. In this study, we propose a spatio-temporal, heterogeneous population model and in silico simulation to evaluate pandemic IPs in four types of buildings - home, office, school, and mall. We show that indeed each building type has a unique pandemic spread and therefore a different optimal IP. Moreover, we show that temporal-based IPs (such as mask wearing) have a similar influence on the pandemic spread in all four building types while spatial-based IPs (such as social distance) highly differ.


2005 ◽  
Vol 10 (4) ◽  
pp. 365-381 ◽  
Author(s):  
Š. Repšys ◽  
V. Skakauskas

We present results of the numerical investigation of the homogenous Dirichlet and Neumann problems to an age-sex-structured population dynamics deterministic model taking into account random mating, female’s pregnancy, and spatial diffusion. We prove the existence of separable solutions to the non-dispersing population model and, by using the numerical experiment, corroborate their local stability.


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