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  1. Article: [Analysis of application of herd immunity as a control strategy for COVID-19].

    Wu, Z Y

    Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi

    2020  Volume 41, Issue 7, Page(s) 986–989

    Abstract: ... versus this herd immunity strategy in real-world application to the COVID-19 epidemic. The author ... for a while, instead opting to allow herd immunity strategy to develop over time. This is a "do-nothing" strategy ... territories. China has taken action to implement containment strategies, including active COVID-19 case ...

    Abstract Novel coronavirus spreads very fast and is not easy to control. It has spread over 200 countries or territories. China has taken action to implement containment strategies, including active COVID-19 case finding, tracing, and 14-day quarantine of close contacts, and home isolation of 1.39 billion of people countrywide for at least 2 weeks, etc. The combination of these strategies has brought the epidemic under control in China. The United Kingdom had deliberately not implemented containment measures for a while, instead opting to allow herd immunity strategy to develop over time. This is a "do-nothing" strategy whereby the virus is allowed to move through communities naturally until certain proportion of people has been infected, and the epidemic ends without intervention. The author assesses containment strategies versus this herd immunity strategy in real-world application to the COVID-19 epidemic. The author suggests an innovative strategy to balance controlling the epidemic and preventing impediment to economic and social development.
    MeSH term(s) Betacoronavirus ; COVID-19 ; China ; Coronavirus Infections ; Humans ; Immunity, Herd ; Pandemics ; Pneumonia, Viral ; Quarantine ; SARS-CoV-2
    Keywords covid19
    Language Chinese
    Publishing date 2020-05-10
    Publishing country China
    Document type Journal Article
    ZDB-ID 645026-x
    ISSN 0254-6450
    ISSN 0254-6450
    DOI 10.3760/cma.j.cn112338-20200427-00657
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Analysis of multi-strain infection of vaccinated and recovered population through epidemic model: Application to COVID-19.

    Otunuga, Olusegun Michael

    PloS one

    2022  Volume 17, Issue 7, Page(s) e0271446

    Abstract: ... the proposed model and strategy to analyze the multi-strains of the COVID-19 virus, in particular, the Delta ... numerically. The effect of vaccines on the population is also analyzed and a bound for the herd immunity ... vaccinated and recovered from a specific strain k (k ≤ n) are immune to previous and present strains j = 1, 2 ...

    Abstract In this work, an innovative multi-strain SV EAIR epidemic model is developed for the study of the spread of a multi-strain infectious disease in a population infected by mutations of the disease. The population is assumed to be completely susceptible to n different variants of the disease, and those who are vaccinated and recovered from a specific strain k (k ≤ n) are immune to previous and present strains j = 1, 2, ⋯, k, but can still be infected by newer emerging strains j = k + 1, k + 2, ⋯, n. The model is designed to simulate the emergence and dissemination of viral strains. All the equilibrium points of the system are calculated and the conditions for existence and global stability of these points are investigated and used to answer the question as to whether it is possible for the population to have an endemic with more than one strain. An interesting result that shows that a strain with a reproduction number greater than one can still die out on the long run if a newer emerging strain has a greater reproduction number is verified numerically. The effect of vaccines on the population is also analyzed and a bound for the herd immunity threshold is calculated. The validity of the work done is verified through numerical simulations by applying the proposed model and strategy to analyze the multi-strains of the COVID-19 virus, in particular, the Delta and the Omicron variants, in the United State.
    MeSH term(s) Basic Reproduction Number ; COVID-19/epidemiology ; COVID-19/prevention & control ; Epidemics/prevention & control ; Humans ; SARS-CoV-2
    Language English
    Publishing date 2022-07-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0271446
    Database MEDical Literature Analysis and Retrieval System OnLINE

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