Population Vaccine Effectiveness and its Implication for Control of the Spread of COVID-19 in the US
Hu, Z.; Ge, Q.; Luo, L.; Xu, T.; Zhang, K.; Lu, H. H.; Lin, W.; Boerwinkle, E.; Jin, L.; Xiong, M.
Show abstract
Realized vaccine efficacy in population is highly different from the individual vaccine efficacy measured in clinical trial. The realized vaccine efficacy in population is substantially affected by the vaccine age-stratified prioritization strategy, population age-structure, non-pharmaceutical intervention (NPI). We proposed a population vaccine efficacy which integrated individual vaccine efficacy, vaccine prioritization strategy and NPI to measure and monitor the control of the spread of COVID-19. We found that 11 states in the US had low population vaccine efficacy and 20 states had high population efficacy. We demonstrated that although the proportion of the population who received at least one dose of COVID-19 vaccine across 11 low population vaccine efficacy states, in general, was greater than that in 20 high population vaccine efficacy states, the 11 low population vaccine efficacy states experienced the recent COVID-19 surge, while the number of new cases in the 20 high population vaccine efficacy states exponentially decreased. We demonstrated that the proportions of adults in the population across 50 states were significantly associated with the forecasted ending date of the COVID-19. We show that it was recent low proportion of adults vaccinated in Michigan that caused its COVID-19 surge. Using population vaccination efficacy, we forecasted that the earliest COVID-19 ending states were Hawaii, Arizona, Arkansas, and California (in the end of June, 2021) and the last COVID-19 ending states were Colorado, New York and Michigan (in the Spring, 2022).
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Projecting the impact of SARS-CoV-2 variants on the COVID-19 epidemic and social restoration in the United States: a mathematical modelling study 96%
- Stay-at-home and face mask policies intentions inconsistent with incidence and fatality during US COVID-19 pandemic 94%
- Assessing COVID-19 vaccination strategies in varied demographics using an individual-based model 92%
Similar papers in this journal
- The comparison of vaccine hesitancy of COVID-19 vaccination in China and the United States 94%
- Estimation of mRNA COVID-19 Vaccination Effectiveness in Tokyo for Omicron Variants BA.2 and BA.5 -Effect of Social Behavior- 94%
- Estimating the Global Spread of Epidemic Human Monkeypox with Bayesian Directed Acyclic Graphic Model 94%
Similar papers in this journal
- Effective vaccine allocation strategies, balancing economy with infection control against COVID-19 in Japan 94%
- The Impact of Vaccination to Control COVID-19 Burden in the United States: A Simulation Modeling Approach 94%
- Prediction of Daily New COVID-19 Cases - Difficulties and Possible Solutions 93%
Similar papers in this journal
- Assessing the feasibility of Phase 3 vaccine trials against Marburg Virus Disease: a modelling study 91%
- Benefit-Risk Assessment Of COVID-19 Vaccine, Mrna (Mrna-1273) For Males Age 18-64 Years 91%
- Estimating historical disease burden and the impact of vaccination by influenza type and subtype in the United States, 2016-2020 91%
Similar papers in this journal
- Safety and Immunogenicity of Inactivated SARS-CoV-2 Vaccine in High-Risk Occupational Population: a randomized, parallel, controlled clinical trial 93%
- The relative transmissibility of shigellosis among male and female individuals in Hubei Province, China: a modelling study 92%
- A mathematical model for simulating the transmission of Wuhan novel Coronavirus 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.