Synergistic effects of vaccination and virus testing on the transmission of an infectious disease.


Journal

Mathematical biosciences and engineering : MBE
ISSN: 1551-0018
Titre abrégé: Math Biosci Eng
Pays: United States
ID NLM: 101197794

Informations de publication

Date de publication:
08 08 2023
Historique:
medline: 6 11 2023
pubmed: 3 11 2023
entrez: 3 11 2023
Statut: ppublish

Résumé

Under the background that asymptomatic virus carriers have infectivity for an infectious disease, we establish a difference equations model with vaccination and virus testing in this paper. Assuming that the vaccine is 100% effective for susceptible people but cannot stop the infectivity of asymptomatic virus carriers, we study how to combine vaccination and virus testing at the beginning of an epidemic to effectively block the spread of infectious disease in different population sizes. By considering the daily processing capacity of the vaccine and daily proportion of testing, the corresponding numerical simulation results are obtained. It is shown that when vaccine availability and virus testing capacity are insufficient, a reasonable combination of the above two measures can slow down or even block the spread of infectious disease. Single virus testing or vaccination can also block the spread of infectious disease, but this requires a lot of manpower, material and financial resources. When the daily proportion of virus testing is fixed, the ratio of the minimum daily processing capacity of vaccines used to block the spread of infectious disease to the corresponding population size is rather stable. It demonstrates that effective protective measures of the same infectious disease in countries and regions with different population sizes can be used as a reference. These results also provide a certain reference for decision makers on how to coordinate vaccines and virus testing resources to curb the spread of such an infectious disease in a certain population size.

Identifiants

pubmed: 37920005
doi: 10.3934/mbe.2023719
doi:

Substances chimiques

Vaccines 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

16114-16130

Auteurs

Lili Han (L)

School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China.

Mingfeng He (M)

School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China.
School of Innovation and Entrepreneurship, Dalian University of Technology, Dalian 116024, China.

Xiao He (X)

Department of Mathematics, Dalian Minzu University, Dalian 116600, China.

Qiuhui Pan (Q)

School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China.
School of Innovation and Entrepreneurship, Dalian University of Technology, Dalian 116024, China.

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Classifications MeSH