scholarly journals Lottery-Based Incentives and COVID-19 Vaccination Rates in the US

Author(s):  
Anica C. Law ◽  
Daniel Peterson ◽  
Allan J. Walkey ◽  
Nicholas A. Bosch
Keyword(s):  
2021 ◽  
Author(s):  
Clara Di Germanio ◽  
Graham Simmons ◽  
Chloe Thorbrogger ◽  
Rachel Martinelli ◽  
Mars Stone ◽  
...  

Background: COVID-19 convalescent plasma (CCP) was widely used as passive immunotherapy during the first waves of SARS-CoV-2 infection in the US. However, based on observational studies and randomized controlled trials, beneficial effects of CCP were limited, and its use was virtually discontinued early in 2021, in concurrence with increased vaccination rates and availability of monoclonal antibody (mAb) therapeutics. However, as new variants of the SARS-CoV-2 spread, interest in CCP derived from vaccine-boosted CCP donors is resurging. The effect of vaccination of previously infected CCP donors on antibodies against rapidly spreading variants of concern (VOC) is still under investigation. Study Design/Methods: In this study, paired samples from 11 CCP donors collected before and after vaccination were tested to measure binding antibodies levels and neutralization activity against the ancestral and SARS-CoV-2 variants (Wuhan-Hu-1, B.1.1.7, B.1.351, P.1, D614G, B.1.617.2, B.1.427) on the Ortho Vitros Spike Total Ig and IgG assays, the MSD V-PLEX SARS-CoV-2 Panel 6 arrays for IgG binding and ACE2 inhibition, and variant-specific Spike Reporter Viral Particle Neutralization (RVPN) assays. Results/Findings: Binding and neutralizing antibodies were significantly boosted by vaccination, with several logs higher neutralization for all the variants tested post-vaccination compared to the pre-vaccination samples, with no difference found among the individual variants. Discussion: Vaccination of previously infected individuals boosts antibodies including neutralizing activity against all SARS-CoV-2 VOC, including the current spreading delta (B.1.617.2) variant. Animal model and human studies to assess clinical efficacy of vaccine boosted CCP are warranted, especially since 15-20% of current donations in the US are from previously infected vaccine-boosted donors.


2020 ◽  
Vol 110 (5) ◽  
pp. 718-724 ◽  
Author(s):  
Dror Walter ◽  
Yotam Ophir ◽  
Kathleen Hall Jamieson

Objectives. To understand how Twitter accounts operated by the Russian Internet Research Agency (IRA) discussed vaccines to increase the credibility of their manufactured personas. Methods. We analyzed 2.82 million tweets published by 2689 IRA accounts between 2015 and 2017. Combining unsupervised machine learning and network analysis to identify “thematic personas” (i.e., accounts that consistently share the same topics), we analyzed the ways in which each discussed vaccines. Results. We found differences in volume and valence of vaccine-related tweets among 9 thematic personas. Pro-Trump personas were more likely to express antivaccine sentiment. Anti-Trump personas expressed support for vaccination. Others offered a balanced valence, talked about vaccines neutrally, or did not tweet about vaccines. Conclusions. IRA-operated accounts discussed vaccines in manners consistent with fabricated US identities. Public Health Implications. IRA accounts discussed vaccines online in ways that evoked political identities. This could exacerbate recently emerging partisan gaps relating to vaccine misinformation, as differently valenced messages were targeted at different segments of the US public. These sophisticated targeting efforts, if repeated and increased in reach, could reduce vaccination rates and magnify health disparities.


Vaccines ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 4
Author(s):  
Amy B. Middleman ◽  
Judy Klein ◽  
Jane Quinn

To assess attitudes and intentions related to the COVID-19 vaccine during the pandemic, we surveyed adolescents aged 13–18 years and the parents of 13–18-year-olds using national research panels on three occasions or “waves”: before the COVID-19 vaccine was available, after it was available for adults, and after it was available for ages ≥12 years. Data on experiences with COVID-19, the importance of adolescent vaccines, and intentions regarding COVID-19 vaccination were analyzed across time points. We found that parental concerns about vaccine safety significantly increased from Wave 1 to 2. Social media had a negative influence on parents’ and adolescents’ opinions about vaccine safety. Demographic variables were associated with vaccination rates reported in Wave 3, consistent with known inequities related to vaccine access. Parents (70%) were supportive of concomitant COVID-19 vaccination with other adolescent vaccines for teens. It is important to address variables associated with vaccine hesitancy to increase COVID-19 vaccine coverage rates in the US.


2020 ◽  
Vol 18 (3) ◽  
pp. 21
Author(s):  
Katherine Hickey ◽  
Annie Emmons

Recent data from the US Department of Health and Human Services indicate a small but growing number of unvaccinated children under the age of two. Low vaccination rates can result in outbreaks of preventable diseases and even death. The World Health Organization (WHO) identified vaccine hesitancy as one of the top ten threats to global health in 2019.


2021 ◽  
Vol 9 ◽  
Author(s):  
Hwang Kim ◽  
Vithala R. Rao

Vaccination is the only way to reach herd immunity and help people return to normal life. However, vaccination rollouts may not be as fast as expected in some regions due to individuals' vaccination hesitation. For this reason, in Detroit, Michigan, the city government has offered a $50 prepaid card to people who entice city residents to visit vaccination sites. This study examined vaccination rates in the US using Detroit, Michigan, as the setting. It sought to address two issues. First, we analyzed the vaccination diffusion process to predict whether any region would reach a vaccination completion level that ensures herd immunity. Second, we examined a natural experiment involving a vaccination incentive scheme in Detroit and discovered its causal inference. We collected weekly vaccination data and demographic Census data from the state of Michigan and employed the Bass model to study vaccination diffusion. Also, we used a synthetic control method to evaluate the causal inference of a vaccination incentive scheme utilized in Detroit. The results showed that many Michigan counties—as well as the city of Detroit—would not reach herd immunity given the progress of vaccination efforts. Also, we found that Detroit's incentive scheme indeed increased the weekly vaccination rate by 44.19% for the first dose (from 0.86 to 1.25%) but was ineffective in augmenting the rate of the second dose. The implications are valuable for policy makers to implement vaccination incentive schemes to boost vaccination rates in geographical areas where such rates remain inadequate for achieving herd immunity.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tim F. Liao

AbstractPrior research has well established the association of ethno-racial and economic inequality with COVID-19 incidence and mortality rates across counties in the US. In this ecological study, a similar association was found between ethno-racial and economic inequality and COVID-19 full vaccination rates across the 102 counties in the American state of Illinois in the early months of vaccination. Among the counties with income inequality below the median, a county’s poverty rate had a negative association with the proportion of population fully vaccinated. However, among the counties with income inequality above the median, a higher percentage of Black or Hispanic population was persistently associated with a lower proportion of fully vaccinated population over the two-month period from early February to early April of 2021.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256394
Author(s):  
Ingrid Eshun-Wilson ◽  
Aaloke Mody ◽  
Khai Hoan Tram ◽  
Cory Bradley ◽  
Alexander Sheve ◽  
...  

Background The COVID-19 vaccination campaign in the US has been immensely successful in vaccinating those who are receptive, further increases in vaccination rates however will require more innovative approaches to reach those who remain hesitant. Developing vaccination strategies that are modelled on what people want could further increase uptake. Methods and findings To inform COVID-19 vaccine distribution strategies that are aligned with public preferences we conducted a discrete choice experiment among the US public (N = 2,895) between March 15 to March 22, 2021. We applied sampling weights, evaluated mean preferences using mixed logit models, and identified latent class preference subgroups. On average, the public prioritized ease, preferring single to two dose vaccinations (mean preference: -0.29; 95%CI: -0.37 to -0.20), vaccinating once rather than annually (mean preference: -0.79; 95%CI: -0.89 to -0.70) and reducing waiting times at vaccination sites. Vaccine enforcement reduced overall vaccine acceptance (mean preference -0.20; 95%CI: -0.30 to -0.10), with a trend of increasing resistance to enforcement with increasing vaccine hesitancy. Latent class analysis identified four distinct preference phenotypes: the first prioritized inherent “vaccine features” (46.1%), the second were concerned about vaccine “service delivery” (8.8%), a third group desired “social proof” of vaccine safety and were susceptible to enforcement (13.2%), and the fourth group were “indifferent” to vaccine and service delivery features and resisted enforcement (31.9%). Conclusions This study identifies several critical insights for the COVID-19 public health response. First, identifying preference segments is essential to ensure that vaccination services meet the needs of diverse population subgroups. Second, making vaccination easy and promoting autonomy by simplifying services and offering the public choices (where feasible) may increase uptake in those who remain deliberative. And, third vaccine mandates have the potential to increase vaccination rates in susceptible groups but may simultaneously promote control aversion and resistance in those who are most hesitant.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tanmoy Bhowmik ◽  
Naveen Eluru

AbstractThe sustained COVID-19 case numbers and the associated hospitalizations have placed a substantial burden on health care ecosystem comprising of hospitals, clinics, doctors and nurses. However, as of today, only a small number of studies have examined detailed hospitalization data from a planning perspective. The current study develops a comprehensive framework for understanding the critical factors associated with county level hospitalization and ICU usage rates across the US employing a host of independent variables. Drawing from the recently released Department of Health and Human Services weekly hospitalization data, we study the overall hospitalization and ICU usage—not only COVID-19 hospitalizations. Developing a framework that examines overall hospitalizations and ICU usage can better reflect the plausible hospital system recovery path to pre-COVID level hospitalization trends. The models are subsequently employed to generate predictions for county level hospitalization and ICU usage rates in the future under several COVID-19 transmission scenarios considering the emergence of new COVID-19 variants and vaccination rates. The exercise allows us to identify vulnerable counties and regions under stress with high hospitalization and ICU rates that can be assisted with remedial measures. Further, the model will allow hospitals to understand evolving displaced non-COVID hospital demand.


2021 ◽  
Author(s):  
Margaryta Klymak ◽  
Tim Vlandas

An emerging literature documents the presence of large partisan differences in the views and behaviours of different voters towards the Covid-19 pandemic. How does this affect vaccination rates? We address this question in the case of England using a cross-sectional regression analysis of constituency level vaccination data in October 2021 matched with the latest General Election results in England. Our results show that partisanship is crucial to account for differences across English constituencies. We find a positive and robust association between the share of Conservative voters and vaccination rates in different constituencies. This effect holds when controlling for differences in house prices and wages, population composition, the health and deprivation of the constituency and past austerity, and when rerunning the analysis on vaccination rates for different age groups. Our results contrast with studies of beliefs about Covid-19 and compliance with national lockdowns in England, where Conservative voter appear more sceptic, but also with the US where Republican States and individuals tend to vaccinate less.


2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S63-S64
Author(s):  
Liping Huang ◽  
Jennifer L Nguyen ◽  
Johnna Perdrizet ◽  
Tamuno Alfred ◽  
Adriano Arguedas

Abstract Background Existing disparities in vaccination rates across different social and demographic groups in the US may have been exacerbated during the Coronavirus Disease 2019 (COVID) pandemic, leaving some children at risk for vaccine-preventable diseases. This study examined sociodemographic and risk factors of PCV13 infant primary series vaccination completion, before and during COVID. Methods Retrospective data from the Optum’s de-identified Clinformatics Data Mart Database were used to create 3 cohorts: C1, Pre-COVID; C2, During COVID; C3, Cross-COVID (Figure 1). C1 and C3 (C1&3) were combined and compared with C2 for primary dosing completion before and during COVID according to infant/caregiver characteristics. Full completion (FC) was defined as receipt of 3 doses of PCV13 within 8 months of birth. Multivariable logistic regression was used to compare FC vs. partial completion or no vaccine. Descriptive analyses were used to compare FC before and during COVID within subgroups. Figure 1: Study population and inclusion criteria Results A total of 132,183 and 16,522 infants with at least 8 months of follow up time were enrolled in C1&3 and C2, respectively. FC was significantly higher before COVID-19 (adjusted odds ratio = 1.12, 95% CI: 1.07-1.17). Adjusting for COVID, FC was significantly lower in infants who were Black, with co-morbidities or risk factors, living in households with >1 children or no children, household annual income < &99k, residing in a neighborhood with median education of high school or below, and whose primary caregiver was aged <25 years (Table 1). Comparing FC before and during COVID, the % decline relative to pre-COVID was > 2% among infants who were White, residing in the Mountain, New England or Pacific regions, in a household with 2 children, >&100k annual income, employer-based insurance or HMO, and median neighborhood education of bachelor degree plus (Table 2). Table 1. Multivariable binomial logistic regression results for PCV13 full primary dosing completion vs. not full completion (partial or no vaccine), N=144,799* Table 2. Primary dosing full completion rate pre-COVID vs. during COVID by social, demographic, and clinical risk factors Conclusion Health inequities in PCV13 primary series completion existed prior to COVID-19 and have remained during the pandemic. Our results, however, suggest that during the pandemic, groups traditionally considered to have better healthcare access (Whites, higher income, more education) had more impact on vaccine uptake. Further research is needed to confirm these trends as COVID mitigation measures subside. Disclosures Liping Huang, MD, MA, MS, Pfizer Inc (Employee) Jennifer L Nguyen, ScD, MPH, Pfizer Inc. (Employee) Johnna Perdrizet, MPH, Pfizer Inc (Employee) Tamuno Alfred, PhD, Pfizer Inc. (Employee) Adriano Arguedas, MD, Pfizer (Employee)


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