Optimal vaccination program for two infectious diseases with cross-immunity spreading on a network

Yang YE, Qingpeng ZHANG, Zhidong CAO, Daniel Dajun ZENG

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

3 Citations (Scopus)
71 Downloads (CityUHK Scholars)

Abstract

There are often multiple diseases with cross-immunity competing for vaccination resources. Here we investigate the optimal vaccination program in a two-layer Susceptible-Infected-Removed (SIR) model, where two diseases with cross-immunity spread in the same population, and vaccines for both diseases are available. We identify three scenarios of the optimal vaccination program, which prevents the outbreaks of both diseases at the minimum cost. We analytically derive a criterion to specify the optimal program based on the costs for different vaccines.
Original languageEnglish
Article number46001
JournalEurophysics Letters
Volume133
Issue number4
DOIs
Publication statusPublished - Jan 2021

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  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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  • CRF: Resilient PPE Supply Chains for Hong Kong Health Systems: Current and Post Covid-19 Pandemic

    YAN, H. (Principal Investigator / Project Coordinator), CHEN, Y. F. (Co-Principal Investigator), DAI, T. (Co-Principal Investigator), FUNG, H. (Co-Principal Investigator), LI, Y. D. (Co-Principal Investigator), QIN, S. Z. J. (Co-Principal Investigator), SHUM, S. W. H. (Co-Principal Investigator), TSO, K. F. G. (Co-Principal Investigator), WONG, E. L. (Co-Principal Investigator), ZHANG, Q. (Co-Principal Investigator) & LAU, M. Y. P. (Collaborator)

    1/03/2120/10/25

    Project: Research

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