Priority For Vaccination Research Articles

COVID-19 vaccine delay: An examination of United States residents’ intention to delay vaccine uptake

ABSTRACT The current study examines differences between COVID-19 vaccine intention and delay. A survey was administered to 585 US respondents in late November 2020 as part of an online longitudinal study. Respondents provided information on whether they would obtain a COVID-19 vaccine, once available, and how long they intended to wait before obtaining it. In the negative intention group, 3.4% reported waiting a few weeks, 34.0% waiting a few months, and 62.6% never getting vaccinated. In multivariable models, social norms were a significant and independent predictor of all vaccine delay and intention models. Vaccine delay was associated with low levels of worry about becoming infected with COVID-19, political conservatism, concerns about vaccine side effects, and low levels of believing a vaccine would be effective. Negative vaccine intentions were associated with worries about becoming infected with COVID-19, concerns about vaccine side effects, beliefs that the vaccines were developed too quickly, and low endorsement of the altruistic belief that older people should have vaccination priority. The study results highlight the importance of a multifactorial approach to assessing vaccine attitudes. The findings suggest that uptake programs should focus on enhancing pro-vaccine norms.

Post-vaccination cases of COVID-19 among healthcare workers at Siloam Teaching Hospital, Indonesia

BackgroundHealthcare workers (HCWs) are at increased risk of exposure to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the cause of coronavirus disease 2019 (COVID-19), compared with the general population. Therefore, they are given priority for the COVID-19 vaccine in the national COVID-19 vaccination campaign in Indonesia. However, while the daily number of new COVID-19 cases remains high, and data regarding the efficacy of the vaccine in healthcare settings remain unavailable, vaccinated HCWs remain at risk of COVID-19 infection and further transmission. ObjectiveTo identify cases of COVID-19 among vaccinated HCWs at Siloam Teaching Hospital, Indonesia via active and passive surveillance conducted by the hospital’s COVID-19 infection prevention and control unit. ResultsOf 1040 HCWs who had received two doses of the COVID-19 vaccine, 13 (1.25%) tested positive for SARS-CoV-2 RNA on reverse transcriptase polymerase chain reaction between 2 and 11 days (median 5 days) after the second vaccination. ConclusionLaboratory-confirmed COVID-19 among vaccinated HCWs soon after the second vaccination indicates that HCWs remain at risk of COVID-19. Therefore, the presence of symptoms soon after full vaccination cannot be considered as vaccine-related symptoms, and regular COVID-19 testing should be conducted among HCWs.

Examining the effect of information channel on COVID-19 vaccine acceptance.

Hesitancy towards the COVID-19 vaccine remains high among the US population. Now that the vaccine is available to priority populations, it is critical to convince those that are hesitant to take the vaccine. Public health communication about the vaccine as well as misinformation on the vaccine occurs through a variety of different information channels. Some channels of information are more commonly found to spread misinformation. Given the expansive information environment, we sought to characterize the use of different media channels for COVID-19 vaccine information and determine the relationship between information channel and vaccine acceptance. We used quota sampling of vaccine priority groups [N = 2,650] between December 13 and 23, 2020 and conducted bivariate chi-squared tests and multivariable multinomial logistic regression analyses to determine the relative impact of channels of information on vaccine acceptance. We found traditional channels of information, especially National TV, National newspapers, and local newspapers increased the likelihood of vaccine acceptance. Individuals who received information from traditional media compared to social media or both traditional and social media were most likely to accept the vaccine. The implications of this study suggest social media channels have a role to play in educating the hesitant to accept the vaccine, while traditional media channels should continue to promote data-driven and informed vaccine content to their viewers.

Risk factors for outbreaks of SARS-CoV-2 infection at retirement homes in Ontario, Canada: a population-level cohort study.

BACKGROUND:The epidemiology of SARS-CoV-2 infection in retirement homes (also known as assisted living facilities) is largely unknown. We examined the association between home-and community-level characteristics and the risk of outbreaks of SARS-CoV-2 infection in retirement homes since the beginning of the first wave of the COVID-19 pandemic.METHODS:We conducted a population-based, retrospective cohort study of licensed retirement homes in Ontario, Canada, from Mar. 1 to Dec. 18, 2020. Our primary outcome was an outbreak of SARS-CoV-2 infection (≥ 1 resident or staff case confirmed by validated nucleic acid amplification assay). We used time-dependent proportional hazards methods to model the associations between retirement home– and community-level characteristics and outbreaks of SARS-CoV-2 infection.RESULTS:Our cohort included all 770 licensed retirement homes in Ontario, which housed 56 491 residents. There were 273 (35.5%) retirement homes with 1 or more outbreaks of SARS-CoV-2 infection, involving 1944 (3.5%) residents and 1101 staff (3.0%). Cases of SARS-CoV-2 infection were distributed unevenly across retirement homes, with 2487 (81.7%) resident and staff cases occurring in 77 (10%) homes. The adjusted hazard of an outbreak of SARS-CoV-2 infection in a retirement home was positively associated with homes that had a large resident capacity, were co-located with a long-term care facility, were part of larger chains, offered many services onsite, saw increases in regional incidence of SARS-CoV-2 infection, and were located in a region with a higher community-level ethnic concentration.INTERPRETATION:Readily identifiable characteristics of retirement homes are independently associated with outbreaks of SARS-CoV-2 infection and can support risk identification and priority for vaccination.

Outbreak and impact of coronavirus disease 2019 (COVID-19) on dialysis patients; Al Khezam dialysis center experience, Kuwait

Introduction: Coronavirus disease 2019 (COVID-19) is an outbreak due to SARS-CoV-2, declared by the World Health Organization (WHO) as a global pandemic in March 2020. Patients with underlying diseases, such as those with end-stage kidney disease (ESKD) on dialysis, are at greater risk. Objectives: The aim of our study to assess the outbreak and impact of COVID-19 on dialysis patients. Patients and Methods: Our study prospectively assessed and followed 442 patients with ESKD undergoing dialysis [390 patients on maintenance hemodialysis (HD) and 52 patients on peritoneal dialysis (PD)] for outbreak and impact of COVID-19 on these patients during the period from April 22, 2020 until March 23, 2021 in Al Khezam dialysis center, Kuwait. Age, gender, nationality, original kidney disease, history of hypertension (HTN), diabetes mellitus (DM), ischemic heart disease (IHD), congestive heart failure (CHF), bronchial asthma (BA), chronic obstructive pulmonary disease (COPD), history of pulmonary embolism (PE) and source of infection were analyzed. Symptoms as fever, fatigue, cough, loss of smell and taste and chest pain were recorded, the need for ICU admission, mechanical ventilation (MV), extracorporeal membrane oxygenation (ECMO), medications were recorded. The need to shift to continuous renal replacement therapy (CRRT) and outcomes (complications and mortality) were analyzed. Results: Our study reported that 102 out of 442 (23%) dialysis patients [97 out of 390 (24.8%) HD patients and 5 out of 52 (9.6%) PD patients] got infected with COVID-19 and reinfection reported in 4 out of 97 (4%) COVID-19 HD patients. Around 27% of COVID-19 HD patients had fever, 19% had fatigue, 8% had cough, 4% had loss of smell, 4% had loss of taste, 4% had chest pain and 40% of COVID-19 PD patients had fever. Fifteen out of 97 (15 %) COVID-19 HD patients needed ICU admission, 12 out of 97 (12 %) COVID-19 HD patients needed MV. A 33 out of 97 (34%) COVID-19 HD patients and 4 out of 5 (80%) COVID-19 PD patients needed to switch to CRRT. Mortality was 17 (15 HD and 2 PD) out of 102 (16.6 %) COVID-19 dialysis patients and common causes of death were sepsis, myocardial infarction (MI), heart failure and PE. Conclusion: Outbreak and mortality of COVID-19 infection is high in ESKD patients undergoing dialysis compared with general populations. Strict protocol for prevention of COVID-19 should be undertaken in dialysis centers and encourage of home dialysis and highly protective COVID-19 vaccination priority for dialysis patients.

Ethics of vaccination: Should capability measures be used to inform SARS-CoV-2 vaccination strategies?

Proposals for SARS‐CoV‐2 virus vaccination priorities in the UK and in many other countries are heavily influenced by epidemiological models, which use outcome measures such as deaths or hospitalisation. Limiting the values under consideration to those attributable to the direct effects of infection has the advantage of simplifying the models and the process of decision‐making. However, the consequences of the pandemic extend beyond outcomes directly attributable to SARS‐CoV‐2 infection, and include restrictions on educational and work opportunities, access to services, recreational activities, affiliations and relationships with others, freedom of movement (including escaping abusive relationships), and other determinants of human experience.Capability theory gives emphasis to the freedoms that individuals have to express themselves (in doings and beings). Restrictions on freedoms restrict our capabilities. Capability theory has been used to provide a framework for the evaluation and comparison of international development approaches and in the evaluation of public health policy. There is a clustering of disadvantages associated with this pandemic that adds to pre‐existing inequalities. Much of the disadvantage engendered in the SARS‐CoV‐2 pandemic is left out when public health policy is based on a limited range of metrics. Acknowledging the impact of policy across the range of human freedoms at both a national and international level has the potential to improve policy, facilitate the mitigation of direct and indirect adverse consequences, and improve public confidence and the effectiveness of vaccine deployment strategies.

Italian association for the study of the liver position statement on SARS-CoV2 vaccination

The vaccination campaign against Sars-CoV-2 commenced in Italy at the end of December 2020. The first ones to receive the immunization against the virus were the health workers and the residents of nursing homes, following which the vaccine would be available for the entire population, beginning with the most vulnerable individuals. SARS-CoV2 vaccines have been demonstrated to be safe for the general population, although no data for patients with liver diseases or those having undergone liver transplantation are available so far.The present position statement AISF is an attempt to suggest, based on the published data on the impact of Sars-Cov-2 infection in patients with chronic liver disease, a possible priority for vaccination for this category of patients.

COVID-19 Vaccination Prioritization on the Basis of Cardiovascular Risk Factors and Number Needed to Vaccinate to Prevent Death

The supply limitations of COVID-19 vaccines have led to the need to prioritize vaccine distribution. Obesity, diabetes, and hypertension have been associated with an increased risk of severe COVID-19 infection. Approximately half as many individuals with a cardiovascular risk factor need to be vaccinated against COVID-19 to prevent related death compared with individuals without a risk factor. Adults with body mass index ≥ 30, diabetes, or hypertension should be of a similar priority for COVID-19 vaccination to adults 10 years older with a body mass index of 20 to < 30, no diabetes, and no hypertension.

Demographic Benchmarks for Equitable Coverage of COVID-19 Vaccination

After a year of unprecedented social distancing and >530,000 American deaths due to coronavirus disease 2019 (COVID-19), 3 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines are authorized for emergency use. Federal and state authorities based vaccination priorities on employment in high-exposure occupations essential to everyday life and on vulnerability to severe COVID-19 disease.1 By virtue of employment in high-exposure occupations2 and experience of severe COVID-19 disease and death,3 people of color—especially Black, Hispanic, and Native Americans—are expected to be prioritized for early vaccination.

Accelerated vaccine rollout is imperative to mitigate highly transmissible COVID-19 variants.

BackgroundMore contagious variants of SARS-CoV-2 have emerged around the world, sparking concerns about impending surge in cases and severe outcomes. Despite the development of effective vaccines, rollout has been slow. We evaluated the impact of accelerated vaccine distribution on curbing the disease burden of novel SARS-CoV-2 variants.MethodsWe used an agent-based model of SARS-CoV-2 transmission and vaccination to simulate the spread of novel variants with S-Gene Target Failure (SGTF) in addition to the original strain. We incorporated age-specific risk and contact patterns and implemented a two-dose vaccination campaign in accord with CDC-recommended prioritization. As a base case, we projected hospitalizations and deaths at a daily vaccination rate of 1 million doses in the United States (US) and compared with accelerated campaigns in which daily doses were expanded to 1.5, 2, 2.5, or 3 million.FindingsWe found that at a vaccination rate of 1 million doses per day, an emergent SGTF variant that is 20–70% more transmissible than the original variant would become dominant within 2 to 9 weeks, accounting for as much as 99% of cases at the outbreak peak. Our results show that accelerating vaccine delivery would substantially reduce severe health outcomes. For a SGTF with 30% higher transmissibility, increasing vaccine doses from 1 to 3 million per day would avert 152,048 (95% CrI: 134,772–168,696) hospitalizations and 48,448 (95% CrI: 42,042–54,285) deaths over 300 days. Accelerated vaccination would also prevent additional COVID-19 waves that would otherwise be fuelled by waning adherence to non-pharmaceutical interventions (NPIs).InterpretationWe found that the current pace of vaccine rollout is insufficient to prevent the exacerbation of the pandemic that will be attributable to the novel, more contagious SARS-CoV-2 variants. Accelerating the vaccination rate should be a public health priority for averting the expected surge in COVID-19 hospitalizations and deaths that would be associated with widespread dissemination of the SGTF variants. Our results underscore the need to bolster the production and distribution of COVID-19 vaccines, to rapidly expand vaccination priority groups and distribution sites.

P054 Risk of death during the 2020 UK COVID-19 epidemic among people with rare diseases compared to the general population

Background/Aims To quantify the risk of death among people with rare autoimmune rheumatic diseases (RAIRD) during the UK 2020 COVID-19 epidemic compared with baseline risk and the risk of death in the general population during COVID-19. Methods A cohort study was performed using data from the National Congenital Anomaly and Rare Disease Registration Service (NCARDRS). Coded diagnoses for RAIRD were identified from Hospital Episode Statistics from 2003 onwards. Previous coding validation work demonstrated our case ascertainment methods had a positive predictive value >85%. ONS published data were used for general population mortality rates. The main outcome measure was age-standardised mortality rates (ASMRs) for all-cause death. Secondary outcome measures were age-sex standardised mortality rates, and age-stratified mortality rates. Results 168,691 people with RAIRD were alive on 1 March 2020. Their median age was 61.7 (IQR 41.5-75.4) years, and 118,379 (70.2%) were female. 1,815 (1.1%) people with RAIRD died during March and April 2020. The ASMR among people with RAIRD was 3669.3 (95% CI 3500.4-3838.1) per 100,000 person-years, which was 1.44 (95% CI 1.42-1.45) times higher than the average ASMR during the same months of the previous 5 years. In the whole population of England, the ASMR during March and April 2020 was 1361.1 (1353.6- 1368.7) per 100,000 people, which was 1.38 times higher than the average ASMR during the same months of the previous 5 years (see related abstract about influenza seasons). Unlike in the general population, sex-specific rates in RAIRD were similar in males and females. When comparing risk of death during COVID-19 to pre-COVID-19, people with RAIRD had an increased risk of death from age 35 upwards, compared to around age 55 upwards in the general population. As the protective effect of being female was not seen in RAIRD, the group at the largest increased risk compared to their pre-COVID-19 risk were women aged 35 upwards. The absolute risk of all-cause death for someone aged 20-29 with RAIRD was similar to someone in the general population aged >20 years older, someone aged 40-49 years with RAIRD similar to someone in the general population 20 years older, and someone aged 60-69 with RAIRD similar to someone in the general population aged >10 years older. Conclusion The excess risk of all-cause death during COVID-19 occurs at a younger age among people with RAIRD than among the general population, and particularly affects females. . We urgently need to quantify how much risk is due to COVID-19 infection and how much due to disruption to healthcare services to inform better guidance about shielding, access to healthcare and vaccine priorities for people with rare diseases. Disclosure M. Rutter: None. P.C. Lanyon: None. E. Peach: None. M.J. Grainge: None. R.B. Hubbard: None. J. Aston: None. M. Bythell: None. S. Stevens: None. F.A. Pearce: None.

Behavioral and Attitudinal Correlates of Trusted Sources of COVID-19 Vaccine Information in the US.

There is a critical need for the public to have trusted sources of vaccine information. A longitudinal online study assessed trust in COVID-19 vaccine information from 10 sources. A factor analysis for data reduction revealed two factors. The first factor contained politically conservative sources (PCS) of information. The second factor included eight news sources representing mainstream sources (MS). Multivariable logistic regression models were used. Trust in Dr. Fauci was also examined. High trust in MS was associated with intention to encourage family members to get COVID-19 vaccines, altruistic beliefs that more vulnerable people should have vaccine priority, and belief that racial minorities with higher rates of COVID-19 deaths should have priority. High trust in PCS was associated with intention to discourage friends from getting vaccinated. Higher trust in PCS was also associated with participants more likely to disagree that minorities with higher rates of COVID-19 deaths should have priority for a vaccine. High trust in Dr. Fauci as a source of COVID-19 vaccine information was associated with factors similar to high trust in MS. Fair, equitable, and transparent access and distribution are essential to ensure trust in public health systems’ abilities to serve the population.

COVID-19 Vaccine Priority for People With Neurologic and Rare Diseases

COVID-19 Vaccine Priority for People With Neurologic and Rare Diseases

Response to first vaccination against SARS-CoV-2 in patients with multiple myeloma

Response to first vaccination against SARS-CoV-2 in patients with multiple myeloma

Impact of the COVID-19 Pandemic and Obstetrician and Gynecologist Workforce Distribution on Vaccine Deployment and Predicting Women's Healthcare Shortages.

BackgroundObstetricians and gynecologists, who serve a vital role in providing women’s healthcare in the United States, are at risk of COVID-19 exposure via asymptomatic patients and deliveries. This study analyzes state-level geographical distribution of COVID-19 cases and age distribution of Obstetricians and gynecologists (OB/GYNs) to project which US regions will experience a more significant COVID-19 patient burden and provides a guide for vaccine distribution in the OB/GYN workforce.MethodsThe Association of American Medical Colleges' state-level workforce data is combined with COVID-19 case data reported by Johns Hopkins University. All data and code are available at https://github.com/cxr244/covid-obgyn.ResultsOur findings illustrate that OB/GYNs in the Midwestern region of the US experience the highest number of COVID-19 patients per OB/GYN over 60 years of age: North Dakota, South Dakota, Iowa, Wisconsin, and Idaho have the highest burden of COVID-19 patients per OB/GYN, warranting vaccine distribution priority. Additionally, states with the highest proportion of OB/GYNs over the age of 60 like Florida (38%), New Mexico (37%), Alabama (36%), California (36%), and New Jersey (34%), should be strongly considered for priority vaccine allocation, to mitigate predicted OB/GYN workforce shortages. ConclusionWhen planning and executing vaccine allocation, especially in the early stages of distribution, it is critical to evaluate which communities can benefit the greatest from the limited number of vaccines. A strategy of distribution of COVID-19 vaccines to older physicians with a more significant COVID-19 burden can minimize shortages of providers within these states and ensure adequate access to women’s healthcare within the communities they serve.

Vaccination Prioritization Strategies for COVID-19 in Korea: A Mathematical Modeling Approach.

Coronavirus disease 2019 (COVID-19) vaccination has recently started worldwide. As the vaccine supply will be limited for a considerable period of time in many countries, it is important to devise the effective vaccination strategies that reduce the number of deaths and incidence of infection. One of the characteristics of COVID-19 is that the symptom, severity, and mortality of the disease differ by age. Thus, when the vaccination supply is limited, age-dependent vaccination priority strategy should be implemented to minimize the incidences and mortalities. In this study, we developed an age-structured model for describing the transmission dynamics of COVID-19, including vaccination. Using the model and actual epidemiological data in Korea, we estimated the infection probability for each age group under different levels of social distancing implemented in Korea and investigated the effective age-dependent vaccination strategies to reduce the confirmed cases and fatalities of COVID-19. We found that, in a lower level of social distancing, vaccination priority for the age groups with the highest transmission rates will reduce the incidence mostly, but, in higher levels of social distancing, prioritizing vaccination for the elderly age group reduces the infection incidences more effectively. To reduce mortalities, vaccination priority for the elderly age group is the best strategy in all scenarios of levels of social distancing. Furthermore, we investigated the effect of vaccine supply and efficacy on the reduction in incidence and mortality.

Informing COVID-19 vaccination priorities based on the prevalence of risk factors among adults in Canada.

KEY POINTS Concern about imbalances between the demand and the supply of vaccinations for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been raised, given worldwide demand, centralized manufacturing and limitations in the infrastructure for vaccine delivery and administration in

SARS-CoV-2 Seroprevalence among Healthcare Workers in General Hospitals and Clinics in Japan.

Coronavirus disease 2019 (COVID-19) has become a serious public health problem worldwide. In general, healthcare workers are considered to be at higher risk of COVID-19 infection. However, the prevalence of COVID-19 among healthcare workers in Japan is not well characterized. In this study, we aimed to examine the seroprevalence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) antibodies among 2160 healthcare workers in hospitals and clinics that are not designated to treat COVID-19 patients in Japan. The prevalence of SARS-CoV-2 immunoglobulin G was 1.2% in August and October 2020 (during and after the second wave of the pandemic in Japan), which is relatively higher than that in the general population in Japan (0.03–0.91%). Because of the higher risk of COVID-19 infection, healthcare workers should be the top priority for further social support and vaccination against SARS-CoV-2.

People With Mental Illness Should Be Given Priority for COVID-19 Vaccination, APA Says

People With Mental Illness Should Be Given Priority for COVID-19 Vaccination, APA Says

COVID-19 Vaccine Priority for People With Neurologic and Rare Diseases

COVID-19 Vaccine Priority for People With Neurologic and Rare Diseases