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1000 Titel
  • Toward Achieving a Vaccine-Derived Herd Immunity Threshold for COVID-19 in the U.S.
1000 Autor/in
  1. Gumel, Abba B. |
  2. Iboi, Enahoro A. |
  3. Ngonghala, Calistus N. |
  4. Ngwa, Gideon A. |
1000 Verlag
  • Frontiers Media S.A.
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-07-23
1000 Erschienen in
1000 Quellenangabe
  • 9:709369
1000 Copyrightjahr
  • 2021
1000 Embargo
  • 2022-01-25
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fpubh.2021.709369 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343072/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Abstract/Summary
  • <jats:p>A novel coronavirus emerged in December of 2019 (COVID-19), causing a pandemic that inflicted unprecedented public health and economic burden in all nooks and corners of the world. Although the control of COVID-19 largely focused on the use of basic public health measures (primarily based on using non-pharmaceutical interventions, such as quarantine, isolation, social-distancing, face mask usage, and community lockdowns) initially, three safe and highly-effective vaccines (by AstraZeneca Inc., Moderna Inc., and Pfizer Inc.), were approved for use in humans in December 2020. We present a new mathematical model for assessing the population-level impact of these vaccines on curtailing the burden of COVID-19. The model stratifies the total population into two subgroups, based on whether or not they habitually wear face mask in public. The resulting multigroup model, which takes the form of a deterministic system of nonlinear differential equations, is fitted and parameterized using COVID-19 cumulative mortality data for the third wave of the COVID-19 pandemic in the United States. Conditions for the asymptotic stability of the associated disease-free equilibrium, as well as an expression for the vaccine-derived herd immunity threshold, are rigorously derived. Numerical simulations of the model show that the size of the initial proportion of individuals in the mask-wearing group, together with positive change in behavior from the non-mask wearing group (as well as those in the mask-wearing group, who do not abandon their mask-wearing habit) play a crucial role in effectively curtailing the COVID-19 pandemic in the United States. This study further shows that the prospect of achieving vaccine-derived herd immunity (required for COVID-19 elimination) in the U.S., using the Pfizer or Moderna vaccine, is quite promising. In particular, our study shows that herd immunity can be achieved in the U.S. if at least 60% of the population are fully vaccinated. Furthermore, the prospect of eliminating the pandemic in the U.S. in the year 2021 is significantly enhanced if the vaccination program is complemented with non-pharmaceutical interventions at moderate increased levels of compliance (in relation to their baseline compliance). The study further suggests that, while the waning of natural and vaccine-derived immunity against COVID-19 induces only a marginal increase in the burden and projected time-to-elimination of the pandemic, adding the impacts of therapeutic benefits of the vaccines into the model resulted in a dramatic reduction in the burden and time-to-elimination of the pandemic.</jats:p>
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal face mask
lokal Humans [MeSH]
lokal Immunity, Herd [MeSH]
lokal Public Health
lokal herd immunity
lokal COVID-19
lokal vaccine
lokal Pandemics [MeSH]
lokal Vaccines [MeSH]
lokal Communicable Disease Control [MeSH]
lokal reproduction number
lokal United States/epidemiology [MeSH]
lokal COVID-19 [MeSH]
lokal social-distancing
lokal stability
lokal SARS-CoV-2 [MeSH]
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/R3VtZWwsIEFiYmEgQi4=|https://frl.publisso.de/adhoc/uri/SWJvaSwgRW5haG9ybyBBLg==|https://frl.publisso.de/adhoc/uri/TmdvbmdoYWxhLCBDYWxpc3R1cyBOLg==|https://frl.publisso.de/adhoc/uri/Tmd3YSwgR2lkZW9uIEEu
1000 Hinweis
  • DeepGreen-ID: 681365d373324f8b984a3b597fe7353c ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2024-05-22T01:44:17.495+0200
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1000 Zuletzt bearbeitet 2024-05-22T15:11:53.140+0200
1000 Objekt bearb. Wed May 22 15:11:53 CEST 2024
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