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      Cost-effectiveness analysis of BNT162b2 COVID-19 booster vaccination in the United States

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          Abstract

          Objectives: To evaluate the cost-effectiveness of a booster strategy in the US.

          Methods: We developed a decision-analytic Markov model of COVID-19 to evaluate the cost-effectiveness of a booster strategy of Pfizer-BioNTech BNT162b2 (administered 6 months after 2 nd dose) among older adults, from a healthcare system perspective.

          Results: Compared with 2-doses of BNT162b2 without a booster, the booster strategy in a 100,000 cohort of older adults would incur an additional cost of $3.4 million in vaccination cost, but save $6.7 million in direct medical cost and gain 3.7 QALYs in 180 days. This corresponds to a benefit-cost ratio of 1.95 and a net monetary benefit of $3.4 million. Probabilistic sensitivity analysis indicates that a booster strategy has a high chance (67%) of being cost-effective. Notably, the cost-effectiveness of the booster strategy is highly sensitive to the population incidence of COVID-19, with a cost-effectiveness threshold of 8.1/100,000 person-day. If vaccine efficacies reduce by 10%, 30%, and 50%, this threshold will increase to 9.7/100,000, 13.9/100,000, and 21.9/100,000 person-day, respectively.

          Conclusion: Offering BNT162b2 booster to older adults aged ≥65 years in the US is likely to be cost-effective. Less efficacious vaccines and boosters may still be cost-effective in settings of high SARS-COV-2 transmission.

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          Author and article information

          Journal
          Int J Infect Dis
          Int J Infect Dis
          International Journal of Infectious Diseases
          The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
          1201-9712
          1878-3511
          22 March 2022
          22 March 2022
          Affiliations
          [1 ]China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China
          [2 ]Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, 710061, China
          [3 ]Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia
          [4 ]Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
          [5 ]Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China.
          [6 ]Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
          [7 ]Department of Obstetrics, Gynaecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
          [8 ]School of Public Health, Shaanxi University of Chinese Medicine, Xi'an, Shaanxi, 712046, China
          Author notes
          [* ] Corresponding authors: Lei Zhang, China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
          Article
          S1201-9712(22)00168-0
          10.1016/j.ijid.2022.03.029
          8938315
          35338008
          5166abff-f713-4229-a2ee-a4ae45d343f0
          © 2022 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.

          Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

          History
          : 5 January 2022
          : 28 February 2022
          : 16 March 2022
          Categories
          Article

          Infectious disease & Microbiology
          covid-19,booster,cost-effective analysis,markov model,bnt162b2
          Infectious disease & Microbiology
          covid-19, booster, cost-effective analysis, markov model, bnt162b2

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