Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19.
Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19.
复制标题
预测二价疫苗和 nirmatrelvir-ritonavir 针对 COVID-19 的公共卫生影响。
DOI:
10.1101/2023.05.18.23289533
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发表时间:
2023
期刊:
影响因子:
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通讯作者:
Lo,NathanC
中科院分区:
文献类型:
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作者:
Park,HaileyJ;Tan,SophiaT;León,TomásM;Jain,Seema;Schechter,Robert;Lo,NathanC
BackgroundUptake of COVID-19 bivalent vaccines and oral medication nirmatrelvir-ritonavir (Paxlovid) has remained low across the United States. Assessing the public health impact of increasing uptake of these interventions in key risk groups can guide further public health resources and policy.MethodsThis modeling study used person-level data from the California Department of Public Health on COVID-19 cases, hospitalizations, deaths, and vaccine administration from July 23, 2022 to January 23, 2023. We modeled the impact of additional uptake of bivalent COVID-19 vaccines and nirmatrelvir-ritonavir during acute illness in different risk groups defined by age (50+, 65+, 75+ years) and vaccination status (everyone, primary series only, previously vaccinated). We predicted the number of averted COVID-19 cases, hospitalizations, and deaths and number needed to treat (NNT).ResultsFor both bivalent vaccines and nirmatrelvir-ritonavir, the most efficient strategy (based on NNT) for averting severe COVID-19 was targeting the 75+ years group. We predicted that perfect coverage of bivalent boosters in the 75+ years group would avert 3,920 hospitalizations (95%UI: 2,491-4,882; 7.8% total averted; NNT 387) and 1,074 deaths (95%UI: 774-1,355; 16.2% total averted; NNT 1,410). Perfect uptake of nirmatrelvir-ritonavir in the 75+ years group would avert 5,644 hospitalizations (95%UI: 3,947-6,826; 11.2% total averted; NNT 11) and 1,669 deaths (95%UI: 1,053-2,038; 25.2% total averted; NNT 35).ConclusionsThese findings suggest prioritizing uptake of bivalent boosters and nirmatrelvir-ritonavir among the oldest age groups would be efficient and have substantial public health impact in reducing the burden of severe COVID-19, but would not address the entire burden of severe COVID-19.