Epidemiological Impact of SARS-CoV-2 Vaccination: Mathematical Modeling Analyses
- PMID: 33182403
- PMCID: PMC7712303
- DOI: 10.3390/vaccines8040668
Epidemiological Impact of SARS-CoV-2 Vaccination: Mathematical Modeling Analyses
Abstract
This study aims to inform SARS-CoV-2 vaccine development/licensure/decision-making/implementation, using mathematical modeling, by determining key preferred vaccine product characteristics and associated population-level impacts of a vaccine eliciting long-term protection. A prophylactic vaccine with efficacy against acquisition (VES) ≥70% can eliminate the infection. A vaccine with VES <70% may still control the infection if it reduces infectiousness or infection duration among those vaccinated who acquire the infection, if it is supplemented with <20% reduction in contact rate, or if it is complemented with herd-immunity. At VES of 50%, the number of vaccinated persons needed to avert one infection is 2.4, and the number is 25.5 to avert one severe disease case, 33.2 to avert one critical disease case, and 65.1 to avert one death. The probability of a major outbreak is zero at VES ≥70% regardless of the number of virus introductions. However, an increase in social contact rate among those vaccinated (behavior compensation) can undermine vaccine impact. In addition to the reduction in infection acquisition, developers should assess the natural history and disease progression outcomes when evaluating vaccine impact.
Keywords: COVID-19; SARS-CoV-2; coronavirus; epidemiology; mathematical model; vaccine.
Conflict of interest statement
The authors declare no conflict of interest.
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