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MULTISCALE MODELING OF NOROVIRUS IN HUMANS
10.1142/S0218339025500421
2025-10-01
0
PRE
AI
Abstract
En 中文
Noroviruses are highly contagious and the leading cause of sporadic and epidemic gastroenteritis, food poisoning, and community-acquired diarrhea across all age groups. Traditional models of foodborne infections often focus on transmission mechanisms at the macroscale, emphasizing transmission as the primary cause of disease spread. Given the high risk and significant mortality associated with foodborne diseases caused by noroviruses, developing a multiscale model is crucial. The multiscale model is based on the replication-transmission relativity theory, aims to identify key factors contributing to infection spread. The theory is designed for multiscale modeling, incorporating pathogen replication and transmission over time and space. The study proposes a nested multiscale model that integrates a macroscale submodel for norovirus transmission dynamics and a microscale submodel for replication dynamics at the infection site within a host. In this paper, we solve the proposed multiscale model using non-standard finite difference method which have important properties such as positivity and boundedness and also preserve conservation law. Numerical simulations indicate that microscale dynamics significantly impact macroscale disease progression, suggesting that targeting microscale parameters can more effectively reduce the burden of norovirus infections.
Keywords:
Multiscale Modeling
Replication-Transmission Relativity
Norovirus
Microscale
Macroscale
Non-Standard Finite Difference Method
Journal
J
IF:
1.5
Papers: 18
・
Citations: 754
Researchers
M
Maphiri, Azwindini delinah
H-index:
0
Papers: 1
・
Citations: 0
M
Muzhinji, Kizito
H-index:
0
Papers: 1
・
Citations: 0
M
Mathebula, Dephney
H-index:
0
Papers: 1
・
Citations: 0
N
Netshikweta, Rendani
H-index:
0
Papers: 1
・
Citations: 0
Organization
U
university of venda
Scholars:
180
Papers: 94
・
Citations: 0
U
University of Fort Hare
Scholars:
1.1K
Papers: 1.0K
・
Citations: 1.1K
Cited Papers