دورية أكاديمية
أعرض في EDS

Quantifying the Importance of COVID-19 Vaccination to Our Future Outlook.

التفاصيل البيبلوغرافية
العنوان: Quantifying the Importance of COVID-19 Vaccination to Our Future Outlook.
المؤلفون: Storlie CB; Department of Health Sciences Research, Mayo Clinic, Rochester, MN. Electronic address: storlie.curt@mayo.edu., Pollock BD; Department of Health Sciences Research, Mayo Clinic, Rochester, MN., Rojas RL; Department of Health Sciences Research, Mayo Clinic, Rochester, MN., Demuth GO; Department of Health Sciences Research, Mayo Clinic, Rochester, MN., Johnson PW; Department of Health Sciences Research, Mayo Clinic, Rochester, MN., Wilson PM; Department of Health Sciences Research, Mayo Clinic, Rochester, MN; Robert D. Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN., Heinzen EP; Department of Health Sciences Research, Mayo Clinic, Rochester, MN., Liu H; Department of Health Sciences Research, Mayo Clinic, Rochester, MN., Carter RE; Department of Health Sciences Research, Mayo Clinic, Rochester, MN., Habermann EB; Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN; Robert D. Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN., Kor DJ; Department of Anesthesiology, Mayo Clinic, Rochester, MN; Division of Critical Care Medicine, Mayo Clinic, Rochester, MN., Neville MR; Biostatistics, Mayo Clinic, Phoenix, AZ., Limper AH; Department of Pulmonary and Critical Care Medicine., Noe KH; Department of Neurology., Bydon M; Department of Neurologic Surgery, Mayo Clinic, Rochester, MN., Franco PM; Department of Transplant Critical Care Medicine, Mayo Clinic, Rochester, MN., Sampathkumar P; Division of Infectious Diseases, Mayo Clinic, Rochester, MN., Shah ND; Department of Health Sciences Research, Mayo Clinic, Rochester, MN; Department of Medicine, Mayo Clinic, Rochester, MN., Dunlay SM; Department of Gynecologic Surgery, Mayo Clinic College of Medicine, Rochester, MN., Dowdy SC; Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN.
المصدر: Mayo Clinic proceedings [Mayo Clin Proc] 2021 Jul; Vol. 96 (7), pp. 1890-1895. Date of Electronic Publication: 2021 Apr 27.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: [Oxford, England] Country of Publication: England NLM ID: 0405543 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1942-5546 (Electronic) Linking ISSN: 00256196 NLM ISO Abbreviation: Mayo Clin Proc Subsets: MEDLINE
أسماء مطبوعة: Publication: Jan. 2012- : [Oxford, England] : Elsevier
Original Publication: Rochester, MN : Mayo Foundation for Medical Education and Research
مواضيع طبية MeSH: COVID-19 Vaccines*, COVID-19/*prevention & control, COVID-19/epidemiology ; Forecasting ; Hospitalization/statistics & numerical data ; Hospitalization/trends ; Humans ; United States/epidemiology
مستخلص: Predictive models have played a critical role in local, national, and international response to the COVID-19 pandemic. In the United States, health care systems and governmental agencies have relied on several models, such as the Institute for Health Metrics and Evaluation, Youyang Gu (YYG), Massachusetts Institute of Technology, and Centers for Disease Control and Prevention ensemble, to predict short- and long-term trends in disease activity. The Mayo Clinic Bayesian SIR model, recently made publicly available, has informed Mayo Clinic practice leadership at all sites across the United States and has been shared with Minnesota governmental leadership to help inform critical decisions during the past year. One key to the accuracy of the Mayo Clinic model is its ability to adapt to the constantly changing dynamics of the pandemic and uncertainties of human behavior, such as changes in the rate of contact among the population over time and by geographic location and now new virus variants. The Mayo Clinic model can also be used to forecast COVID-19 trends in different hypothetical worlds in which no vaccine is available, vaccinations are no longer being accepted from this point forward, and 75% of the population is already vaccinated. Surveys indicate that half of American adults are hesitant to receive a COVID-19 vaccine, and lack of understanding of the benefits of vaccination is an important barrier to use. The focus of this paper is to illustrate the stark contrast between these 3 scenarios and to demonstrate, mathematically, the benefit of high vaccine uptake on the future course of the pandemic.
(Copyright © 2021. Published by Elsevier Inc.)
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المشرفين على المادة: 0 (COVID-19 Vaccines)
تواريخ الأحداث: Date Created: 20210705 Date Completed: 20210715 Latest Revision: 20240813
رمز التحديث: 20240813
مُعرف محوري في PubMed: PMC8075811
DOI: 10.1016/j.mayocp.2021.04.012
PMID: 34218862
قاعدة البيانات: MEDLINE
الوصف
تدمد:1942-5546
DOI:10.1016/j.mayocp.2021.04.012