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Cost effectiveness of fractional doses of COVID-19 vaccine boosters in India.
Du, Zhanwei; Wang, Lin; Bai, Yuan; Feng, Shuo; Ramachandran, Sabareesh; Lim, Wey Wen; Lau, Eric H Y; Malani, Anup; 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, China; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science and Technology Pa
  • Wang L; Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK.
  • Bai Y; 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, China; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science and Technology Pa
  • Feng S; Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK.
  • Ramachandran S; Department of Economics, University of California San Diego, San Diego, CA, USA.
  • Lim WW; 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, China.
  • Lau EHY; 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, China; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science and Technology Pa
  • Malani A; Law School, University of Chicago, Chicago, IL, USA.
  • Cowling BJ; 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, China; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science and Technology Pa
Med ; 4(3): 182-190.e3, 2023 03 10.
Article in English | MEDLINE | ID: covidwho-2229614
ABSTRACT

BACKGROUND:

Coronavirus disease 2019 (COVID-19) continues to be a major global public health crisis that exacts significant human and economic costs. Booster vaccination of individuals can improve waning immunity and reduce the impact of community epidemics.

METHODS:

Using an epidemiological model that incorporates population-level severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission and waning of vaccine-derived immunity, we identify the hypothetical potential of mass vaccination with fractionated vaccine doses specific to ChAdOx1 nCoV-19 (AZD1222 [Covishield]; AstraZeneca) as an optimal and cost-effective strategy in India's Omicron outbreak.

FINDINGS:

We find that the optimal strategy is 1/8 fractional dosing under mild (Re ∼ 1.2) and rapid (Re ∼ 5) transmission scenarios, leading to an estimated $6 (95% confidence interval [CI] -13, 26) billion and $2 (95% CI -26, 30) billion in health-related net monetary benefit over 200 days, respectively. Rapid and broad use of fractional dosing for boosters, together with delivery costs divided by fractionation, could substantially gain more net monetary benefit by $11 (95% CI -10, 33) and $2 (95% CI -23, 28) billion, respectively, under the mild and rapid transmission scenarios.

CONCLUSIONS:

Mass vaccination with fractional doses of COVID-19 vaccines to boost immunity in a vaccinated population could be a cost-effective strategy for mitigating the public health costs of resurgences caused by vaccine-evasive variants, and fractional dosing deserves further clinical and regulatory evaluation.

FUNDING:

Financial support was provided by the AIR@InnoHK Program from Innovation and Technology Commission of the Government of the Hong Kong Special Administrative Region.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Asia Language: English Journal: Med Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Asia Language: English Journal: Med Year: 2023 Document Type: Article