@Article{CSIAM-LS-1-1,
author = {Song, Pengfei and Wu, Jianhong and Yanni, Xiao},
title = {Modelling the Effect of Human Heterogeneity on Infectious Disease Transmission Dynamics},
journal = {CSIAM Transactions  on Life Sciences},
year = {2024},
volume = {1},
number = {1},
pages = {1--21},
abstract = {<p style="text-align: justify;">Human heterogeneity is a critical issue in infectious disease transmission
dynamics modelling, and it has recently received much attention in COVID-19 studies. In this article, a general human heterogeneous disease model with mutation is
proposed to comprehensively study the effects of human heterogeneity on basic reproduction number, final epidemic size and herd immunity. We show that human
heterogeneity may increase or decrease herd immunity level, strongly depending on
some convexity of the heterogeneity function, which gives new insights and extends
the results in [Britton et al., Science, 369:846–849, 2020]. Moreover, human heterogeneity may decrease the basic reproduction number but increase the level of herd immunity, implying the unreliability of the basic reproduction number in characterizing the
spread and control of infectious diseases with human heterogeneity.</p>},
issn = {3006-2721},
doi = {https://doi.org/10.4208/csiam-ls.SO-2024-0001},
url = {https://global-sci.com/article/91031/modelling-the-effect-of-human-heterogeneity-on-infectious-disease-transmission-dynamics}
}