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Modeling comparative cost-effectiveness of SARS-CoV-2 vaccine dose fractionation in India.
Du, Zhanwei; Wang, Lin; Pandey, Abhishek; Lim, Wey Wen; Chinazzi, Matteo; Piontti, Ana Pastore Y; Lau, Eric H Y; Wu, Peng; Malani, Anup; Cobey, Sarah; Cowling, Benjamin J.
  • Du Z; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.
  • Wang L; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, Hong Kong, China.
  • Pandey A; Department of Genetics, University of Cambridge, Cambridge, UK.
  • Lim WW; Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA.
  • Chinazzi M; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.
  • Piontti APY; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA.
  • Lau EHY; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA.
  • Wu P; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.
  • Malani A; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, Hong Kong, China.
  • Cobey S; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.
  • Cowling BJ; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, Hong Kong, China.
Nat Med ; 28(5): 934-938, 2022 05.
Article in English | MEDLINE | ID: covidwho-1713204
ABSTRACT
Given global Coronavirus Disease 2019 (COVID-19) vaccine shortages and inequity of vaccine distributions, fractionation of vaccine doses might be an effective strategy for reducing public health and economic burden, notwithstanding the emergence of new variants of concern. In this study, we developed a multi-scale model incorporating population-level transmission and individual-level vaccination to estimate the costs of hospitalization and vaccination and the economic benefits of reducing COVID-19 deaths due to dose-fractionation strategies in India. We used large-scale survey data of the willingness to pay together with data of vaccine and hospital admission costs to build the model. We found that fractional doses of vaccines could be an economically viable vaccination strategy compared to alternatives of either full-dose vaccination or no vaccination. Dose-sparing strategies could save a large number of lives, even with the emergence of new variants with higher transmissibility.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / COVID-19 Type of study: Experimental Studies / Observational study Topics: Vaccines / Variants Limits: Humans Language: English Journal: Nat Med Journal subject: Molecular Biology / Medicine Year: 2022 Document Type: Article Affiliation country: S41591-022-01736-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / COVID-19 Type of study: Experimental Studies / Observational study Topics: Vaccines / Variants Limits: Humans Language: English Journal: Nat Med Journal subject: Molecular Biology / Medicine Year: 2022 Document Type: Article Affiliation country: S41591-022-01736-z