Epidemic Progression in a Heterogeneously Distributed Population

The chapter is devoted to a compartmental epidemiological model of infection progression in a space-distributed multipatch population with communication between the patches due to the movement of individuals. The subpopulations inside the patches consist of different groups with respect to the intensity of disease transmission both within and between groups. The heterogeneity of the population and its transfer between the patches influence the rate of epidemic progression, the final size of the epidemic, and the number of infected individuals. © 2022, Bentham Books imprint.

Авторы
Banerjee M. , Ghosh S. , Volpert V.
Издательство
Bentham Science Publishers
Язык
Английский
Страницы
276-317
Статус
Опубликовано
Год
2022
Организации
  • 1 Indian Institute of Technology Kanpur, Kanpur - 208016, India
  • 2 University Lyon, France
  • 3 INRIA Lyon La Doua, France
  • 4 Peoples Friendship University of Russia, Russian Federation
Ключевые слова
COVID-19 epidemiology; Heterogeneous population; Multipatch model
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Другие записи

Uchamprina V.A., Bobrova E.I., Startseva N.M., Anikeev A.S., Sviridova M.I.
Журнал акушерства и женских болезней. Научно-исследовательский институт акушерства, гинекологии и репродуктологии им. Д.О. Отта, ООО "Эко-Вектор". Том 71. 2022. С. 39-47