Fairly Prioritizing Groups for Access to COVID-19 Vaccines

Intersecting Inequities in COVID-19 Vaccination: A Discourse Analysis of Information Use and Decision-Making Among Ethnically Diverse Parents in Canada

BACKGROUND

Little is known about how intersecting social privilege and disadvantage contribute to inequities in COVID-19 information use and vaccine access. This study explored how social inequities intersect to shape access to and use of COVID-19 information and vaccines among parents in Canada.

METHODS

We conducted semi-structured interviews on COVID-19 vaccination information use with ethnically diverse parents of children ages 11 to 18 years from April to August 2022. We purposefully invited parents from respondents to a national online survey to ensure representation across diverse intersecting social identities. Five researchers coded transcripts in NVivo using a discourse analysis approach informed by intersectionality. Our analysis focused on use of vaccine information and intersecting privileges and oppressions, including identifying with equity-denied group(s).

RESULTS

Interview participants (N = 48) identified as ethnically diverse non-Indigenous (n = 40) and Indigenous (n = 8) Peoples from seven Canadian provinces. Racialized minority or Indigenous participants reflected on historical and contemporary events of racism from government and medical institutions as barriers to trust and access to COVID-19 information, vaccines, and the Canadian healthcare system. Participants with privileged social locations showed greater comfort in resisting public health measures. Despite the urgency to receive COVID-19 vaccines, information gaps and transportation barriers delayed vaccination among some participants living with chronic medical conditions.

CONCLUSION

Historicization of colonialism and ongoing events of racism are a major barrier to trusting public health information. Fostering partnerships with trusted leaders and/or healthcare workers from racialized communities may help rebuild trust. Healthcare systems need to continuously implement strategies to restore trust with Indigenous and racialized populations.

How enlightened self-interest guided global vaccine sharing benefits all: A modeling study

Background

Despite consensus that vaccines play an important role in combatting the global spread of infectious diseases, vaccine inequity is still a prevalent issue due to a deep-seated mentality of self-priority. We aimed to evaluate the existence and possible outcomes of a more equitable global vaccine distribution and explore a concrete incentive mechanism that promotes vaccine equity.

Methods

We designed a metapopulation epidemiological model that simultaneously considers global vaccine distribution and human mobility, which we then calibrated by the number of infections and real-world vaccination records during the coronavirus disease 2019 (COVID-19) pandemic from March 2020 to July 2021. We explored the possibility of the enlightened self-interest incentive mechanism, which comprises improving one's own epidemic outcomes by sharing vaccines with other countries, by evaluating the number of infections and deaths under various vaccine sharing strategies using the proposed model. To understand how these strategies affect the national interests, we distinguished imported from local cases for further cost-benefit analyses that rationalise the enlightened self-interest incentive mechanism behind vaccine sharing.

Results

The proposed model accurately reproduces the real-world cumulative infections for both global and regional epidemics (R2>0.990), which can support the following evaluations of different vaccine sharing strategies: High-income countries can reduce 16.7 (95% confidence interval (CI) = 8.4-24.9, P < 0.001) million infection cases and 82.0 (95% CI = 76.6-87.4, P < 0.001) thousand deaths on average by more actively sharing vaccines in an enlightened self-interest manner, where the reduced internationally imported cases outweigh the threat from increased local infections. Such vaccine sharing strategies can also reduce 4.3 (95% CI = 1.2-7.5, P < 0.01) million infections and 7.0 (95% CI = 5.7-8.3, P < 0.001) thousand deaths in middle- and low-income countries, effectively benefiting the whole global population. Lastly, the more equitable vaccine distribution could help largely reduce the global mobility reduction needed for pandemic control.

Conclusions

The incentive mechanism of enlightened self-interest we explored here could motivate vaccine equity by realigning the national interest to more equitable vaccine distributions. The positive results could promote multilateral collaborations in global vaccine redistribution and reconcile conflicted national interests, which could in turn benefit the global population.

Analysis of ethical considerations of COVID‑19 vaccination: lessons for future

BACKGROUND

Since the beginning of the COVID-19 pandemic, different countries sought to manufacture and supply effective vaccines to control the disease and prevent and protect public health in society. The implementation of vaccination has created many ethical dilemmas for humans, which must be recognized and resolved. Therefore, the present study was conducted to analyze the ethical considerations in vaccination against COVID-19 from the perspective of service providers.

METHODS

The present qualitative research was conducted in 2022 in the north of Iran. The participants included 23 health workers with at least five years of work experience and members of the COVID-19 vaccination team. The data were initially collected through systematic semi-structured interviews, then snowball sampling and finally continued until data saturation. The next steps were transcription of interviews, identification of meaning units, coding, categorization based on similarity and symmetry, extraction of themes and the analysis of themes through content analysis.

RESULTS

The analysis of participants' experiences led to the extraction of five main categories of themes and fifteen sub-categories of the ethical considerations of COVID-19 vaccination. Safe and standard vaccine production, vaccine supply, fairness, respect for autonomy, and accountability were the main categories. The subcategories included compliance with scientific and ethical procedures, effectiveness and profitability of vaccine, absence of severe adverse effects, allocation of resources for vaccine supply, vaccine availability, diversity and comprehensiveness of alternative vaccines, vaccination prioritization, prioritization of the vulnerable populations of society, autonomy of patient (equal rights), autonomy of community, autonomy of service providers, reporting correct information, reporting vaccine side effects, public trust and acceptance.

CONCLUSION

The health system managers should be adequately prepared to solve the ethical problems posed by COVID-19 vaccination. Therefore, it is recommended to avoid haste in vaccination and pay more attention to vaccination safety standards, provide sufficient resources for a comprehensive vaccine supply, pay close attention to collective interests versus individual interests, and meet community needs.

The Social Ecological Model: A Framework for Understanding COVID-19 Vaccine Uptake among Healthcare Workers-A Scoping Review

Vaccination plays a crucial role in combating the global COVID-19 pandemic. Immunizing all healthcare workers (HCWs) is essential for increasing vaccine confidence and acceptance within the general population. Understanding the factors that hinder or facilitate vaccine uptake among HCWs is of utmost importance, considering they are among the first to be vaccinated. This review follows Arksey and O'Malley's five-stage methodological framework. We searched PubMed, Web of Science, ProQuest, WorldCat Discovery, and Google Scholar for peer-reviewed articles published from 2020 to 2023. A descriptive analysis and narrative synthesis approach were employed to collect and synthesize data. Using the social-ecological model as a framework, the literature was categorized into themes at the intrapersonal, interpersonal, organizational, community, and policy levels. We reviewed a total of fifty-three published academic articles, with the majority of studies conducted in Ethiopia and Nigeria. The intention for vaccine uptake resulted in an unsatisfactory (52%) overall uptake rate among HCWs. Individual-level determinants associated with vaccine uptake included being male, middle-aged, being a physician, having a higher level of education, and having a chronic illness. This review identified significant barriers at each level, such as safety concerns, perceived scientific uncertainty, vaccine ineffectiveness, lack of trust in stakeholders, and religious beliefs. Additionally, we identified facilitators at each level, with the most common factors promoting intention to uptake being the desire to protect oneself and others and a high perceived susceptibility to contracting COVID-19. This review highlights the existence of significant barriers to vaccine uptake on the African continent. Given that HCWs play a crucial role in guiding the public's vaccination decisions, it is imperative to prioritize education and training efforts about the safety and effectiveness of COVID-19 vaccines.

Barriers to COVID-19 Vaccines and Strategies to Improve Acceptability and Uptake

The COVID-19 pandemic has had a significant impact on communities across the United States (US). Three vaccines have now been granted Emergency Use Authorization by the Food and Drug Administration (FDA) and the Centers for Disease Control and Prevention (CDC) for use in the US. However, barriers to vaccination exist, some of which are well documented in the literature, including lack of knowledge, fear, accessibility, mistrust in the healthcare system, and systemic and operational obstacles. Vaccine hesitancy in the US could potentially hinder all the efforts and resources being used to beat COVID-19, which has resulted in more than 594 000 deaths in the US per the CDC as of early June 2021. In order to overcome this pandemic, vaccine distribution and uptake is crucial. Pharmacists play a crucial role as healthcare providers as they can dismantle vaccine hesitancy and make an outstanding impact on the efforts to overcome this pandemic.

Evaluating primary and booster vaccination prioritization strategies for COVID-19 by age and high-contact employment status using data from contact surveys

The debate around vaccine prioritization for COVID-19 has revolved around balancing the benefits from: (1) the direct protection conferred by the vaccine amongst those at highest risk of severe disease outcomes, and (2) the indirect protection through vaccinating those that are at highest risk of being infected and of transmitting the virus. While adults aged 65+ are at highest risk for severe disease and death from COVID-19, essential service and other in-person workers with greater rates of contact may be at higher risk of acquiring and transmitting SARS-CoV-2. Unfortunately, there have been relatively little data available to understand heterogeneity in contact rates and risk across these demographic groups. Here, we retrospectively analyze and evaluate vaccination prioritization strategies by age and worker status. We use a mathematical model of SARS-CoV-2 transmission and uniquely detailed contact data collected as part of the Berkeley Interpersonal Contact Survey to evaluate five vaccination prioritization strategies: (1) prioritizing only adults over age 65, (2) prioritizing only high-contact workers, (3) splitting prioritization between adults 65+ and high-contact workers, (4) tiered prioritization of adults over age 65 followed by high-contact workers, and (5) tiered prioritization of high-contact workers followed by adults 65+. We find that for the primary two-dose vaccination schedule, assuming 70% uptake, a tiered roll-out that first prioritizes adults 65+ averts the most deaths (31% fewer deaths compared to a no-vaccination scenario) while a tiered roll-out that prioritizes high contact workers averts the most number of clinical infections (14% fewer clinical infections compared to a no-vaccination scenario). We also consider prioritization strategies for booster doses during a subsequent outbreak of a hypothetical new SARS-CoV-2 variant. We find that a tiered roll-out that prioritizes adults 65+ for booster doses consistently averts the most deaths, and it may also avert the most number of clinical cases depending on the epidemiology of the SARS-CoV-2 variant and the vaccine efficacy.

COVID-19 Mortality by Race and Ethnicity in US Metropolitan and Nonmetropolitan Areas, March 2020 to February 2022

Importance

Prior research has established that Hispanic and non-Hispanic Black residents in the US experienced substantially higher COVID-19 mortality rates in 2020 than non-Hispanic White residents owing to structural racism. In 2021, these disparities decreased.

Objective

To assess to what extent national decreases in racial and ethnic disparities in COVID-19 mortality between the initial pandemic wave and subsequent Omicron wave reflect reductions in mortality vs other factors, such as the pandemic's changing geography.

Design, Setting, and Participants

This cross-sectional study was conducted using data from the US Centers for Disease Control and Prevention for COVID-19 deaths from March 1, 2020, through February 28, 2022, among adults aged 25 years and older residing in the US. Deaths were examined by race and ethnicity across metropolitan and nonmetropolitan areas, and the national decrease in racial and ethnic disparities between initial and Omicron waves was decomposed. Data were analyzed from June 2021 through March 2023.

Exposures

Metropolitan vs nonmetropolitan areas and race and ethnicity.

Main Outcomes and Measures

Age-standardized death rates.

Results

There were death certificates for 977 018 US adults aged 25 years and older (mean [SD] age, 73.6 [14.6] years; 435 943 female [44.6%]; 156 948 Hispanic [16.1%], 140 513 non-Hispanic Black [14.4%], and 629 578 non-Hispanic White [64.4%]) that included a mention of COVID-19. The proportion of COVID-19 deaths among adults residing in nonmetropolitan areas increased from 5944 of 110 526 deaths (5.4%) during the initial wave to a peak of 40 360 of 172 515 deaths (23.4%) during the Delta wave; the proportion was 45 183 of 210 554 deaths (21.5%) during the Omicron wave. The national disparity in age-standardized COVID-19 death rates per 100 000 person-years for non-Hispanic Black compared with non-Hispanic White adults decreased from 339 to 45 deaths from the initial to Omicron wave, or by 293 deaths. After standardizing for age and racial and ethnic differences by metropolitan vs nonmetropolitan residence, increases in death rates among non-Hispanic White adults explained 120 deaths/100 000 person-years of the decrease (40.7%); 58 deaths/100 000 person-years in the decrease (19.6%) were explained by shifts in mortality to nonmetropolitan areas, where a disproportionate share of non-Hispanic White adults reside. The remaining 116 deaths/100 000 person-years in the decrease (39.6%) were explained by decreases in death rates in non-Hispanic Black adults.

Conclusions and Relevance

This study found that most of the national decrease in racial and ethnic disparities in COVID-19 mortality between the initial and Omicron waves was explained by increased mortality among non-Hispanic White adults and changes in the geographic spread of the pandemic. These findings suggest that despite media reports of a decline in disparities, there is a continued need to prioritize racial health equity in the pandemic response.

Reflections on the Social Determinants of the COVID-19 Vaccination Programme in Zimbabwe

Zimbabwe has not been spared by the coronavirus disease COVID-19 which has wreaked havoc throughout the world. The country is currently grappling with the pandemic against a background of multiple complex socio-economic conditions. Unfortunately, COVID-19 has escalated prevalent human rights concerns and challenges, including health disparities, poverty, child sexual abuse, access to education, and freedom of speech. Although vaccines are an important tool for reducing the incidence of life-threatening diseases, social determinants of health contribute to vaccine hesitancy. This paper is based on scoping literature review of various relevant materials on the social determinants of health that are inhibiting Zimbabwe's COVID-19 vaccination programme. This paper aims to contribute to the ongoing discourses on COVID-19. Four main themes are highlighted as social determinants of COVID-19 vaccination: (i) vaccination priority groups; (ii) vaccination hesitancy due to myths; (iii) social exclusion; and (iv) corruption. Findings are discussed in light of the implications to the right to health and other related rights. We recommend that governments of developing countries and stakeholders intensify myth-busting campaigns if vaccination programmes are to gain currency. We further call for the inclusion of priority groups such as persons with disabilities and the elderly on the vaccination priority list.

A Millian Case for Censoring Vaccine Misinformation

The spread of vaccine misinformation may contribute to vaccine refusal/hesitancy and consequent harms. Nonetheless, censorship is often rejected on the grounds of free expression. This article examines John Stuart Mill's influential defence of free expression but finds that his arguments for freedom apply only to normal, reasonably favourable circumstances. In other cases, it may be permissible to restrict freedom, including freedom of speech. Thus, while Mill would ordinarily defend the right to express false views, such as that vaccines cause autism, he might have accepted restrictions on anti-vaccine misinformation during the present pandemic. This illustrates that even the staunchest defenders of free speech can permit temporary restrictions in exceptional circumstances.

Fairness and efficiency considerations in COVID-19 vaccine allocation strategies: A case study comparing front-line workers and 65-74 year olds in the United States

The COVID-19 epidemic in the United States has been characterized by two stark disparities. COVID-19 burden has been unequally distributed among racial and ethnic groups and at the same time the mortality rates have been sharply higher among older age groups. These disparities have led some to suggest that inequalities could be reduced by vaccinating front-line workers before vaccinating older individuals, as older individuals in the US are disproportionately Non-Hispanic White. We compare the performance of two distribution policies, one allocating vaccines to front-line workers and another to older individuals aged 65-74-year-old. We estimate both the number of lives saved and the number of years of life saved under each of the policies, overall and in every race/ethnicity groups, in the United States and every state. We show that prioritizing COVID-19 vaccines for 65-74-year-olds saves both more lives and more years of life than allocating vaccines front-line workers in each racial/ethnic group, in the United States as a whole and in nearly every state. When evaluating fairness of vaccine allocation policies, the overall benefit to impact of each population subgroup should be considered, not only the proportion of doses that is distributed to each subgroup. Further work can identify prioritization schemes that perform better on multiple equity metrics.

Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions

When COVID-19 spread in China in December 2019, thousands of studies have focused on this pandemic. Each presents a unique perspective that reflects the pandemic's main scientific disciplines. For example, social scientists are concerned with reducing the psychological impact on the human mental state especially during lockdown periods. Computer scientists focus on establishing fast and accurate computerized tools to assist in diagnosing, preventing, and recovering from the disease. Medical scientists and doctors, or the frontliners, are the main heroes who received, treated, and worked with the millions of cases at the expense of their own health. Some of them have continued to work even at the expense of their lives. All these studies enforce the multidisciplinary work where scientists from different academic disciplines (social, environmental, technological, etc.) join forces to produce research for beneficial outcomes during the crisis. One of the many branches is computer science along with its various technologies, including artificial intelligence, Internet of Things, big data, decision support systems (DSS), and many more. Among the most notable DSS utilization is those related to multicriterion decision making (MCDM), which is applied in various applications and across many contexts, including business, social, technological and medical. Owing to its importance in developing proper decision regimens and prevention strategies with precise judgment, it is deemed a noteworthy topic of extensive exploration, especially in the context of COVID-19-related medical applications. The present study is a comprehensive review of COVID-19-related medical case studies with MCDM using a systematic review protocol. PRISMA methodology is utilized to obtain a final set of (n = 35) articles from four major scientific databases (ScienceDirect, IEEE Xplore, Scopus, and Web of Science). The final set of articles is categorized into taxonomy comprising five groups: (1) diagnosis (n = 6), (2) safety (n = 11), (3) hospital (n = 8), (4) treatment (n = 4), and (5) review (n = 3). A bibliographic analysis is also presented on the basis of annual scientific production, country scientific production, co-occurrence, and co-authorship. A comprehensive discussion is also presented to discuss the main challenges, motivations, and recommendations in using MCDM research in COVID-19-related medial case studies. Lastly, we identify critical research gaps with their corresponding solutions and detailed methodologies to serve as a guide for future directions. In conclusion, MCDM can be utilized in the medical field effectively to optimize the resources and make the best choices particularly during pandemics and natural disasters.

Predictors of COVID-19 Vaccine Uptake in Teachers: An On-line Survey in Greece

COVID-19 vaccines are safe at a very high rate and protect against severe disease, hospitalization, and mortality. Schools are workplaces with high transmissibility of coronavirus and teachers are at risk of infection. The study aimed to find out the predictors of COVID-19 vaccine uptake in teachers. An on-line cross-sectional survey with a convenience sample was conducted, in Greece, during December 2021. We collected demographic data of teachers and we measured their attitudes towards COVID-19 vaccination and the pandemic. The sample included 513 teachers. The majority of them was vaccinated against COVID-19 (85.8%). The most important reasons for teachers' decline in COVID-19 vaccination were their concerns about safety, effectiveness and the side effects of COVID-19 vaccine. Also, furthermore they were characterized by strong self-assessment that they will not be infected by the COVID-19, and self-assessment that the COVID-19 vaccination will be useless for those who have already been diagnosed with COVID-19. After multivariable analysis, we found that increased age (OR 1.08, 95% CI 1.02-1.14, p = 0.011), and trust in COVID-19 vaccination (OR 2.57, 95% CI 2.07-3.18, p < 0.001) were related with an increased probability of a COVID-19 vaccine uptake. Also, teachers who lived with elderly people or vulnerable groups (OR 4.81, 95% CI 1.55-14.89, p = 0.006) during the COVID-19 pandemic, demonstrated greater probability to take COVID-19 vaccine. The study highlighted the need for reliable and accurate public information on both the risks of coronavirus infection and the vaccines' safety and efficacy.

The shortfalls of vulnerability indexes for public health decision-making in the face of emergent crises: the case of COVID-19 vaccine uptake in Virginia

Equitable and effective vaccine uptake is a key issue in addressing COVID-19. To achieve this, we must comprehensively characterize the context-specific socio-behavioral and structural determinants of vaccine uptake. However, to quickly focus public health interventions, state agencies and planners often rely on already existing indexes of "vulnerability." Many such "vulnerability indexes" exist and become benchmarks for targeting interventions in wide ranging scenarios, but they vary considerably in the factors and themes that they cover. Some are even uncritical of the use of the word "vulnerable," which should take on different meanings in different contexts. The objective of this study is to compare four vulnerability indexes produced by private, federal, and state institutions to assess the application of these measures to the needs of the COVID-19 pandemic and other emergent crises. We focus on federal, state, and private industries' vulnerability indexes for the Commonwealth of Virginia. Qualitative comparison is done by considering each index's methodologies to see how and why they defined and measured "vulnerability." We also quantitatively compare them using percent agreement and illustrate the overlaps in localities identified as among the most vulnerable on a choropleth map. Finally, we provide a short case study that explores vaccine uptake in the six localities that were identified by at least three indexes as most vulnerable, and six localities with very low vaccine coverage that were identified by two or fewer indexes as highly vulnerable. By comparing the methodologies and index (dis)agreements, we discuss the appropriateness of using pre-existing vulnerability indexes as a public health decision-making tool for emergent crises, using COVID-19 vaccine uptake as a case study. The inconsistencies reflected by these indexes show both the need for context-specific and time-sensitive data collection in public health and policy response, and a critical critique of measured "vulnerability."

Perception and attitudes toward COVID- 19 vaccines in Jordan: lessons for future pandemics

Objective

This study aimed to assess Jordanians' perception and attitudes toward COVID-19 vaccines authorized for use in Jordan. Another objective was to evaluate the population's confidence in vaccine efficacy, their fears of the vaccines, and their perceptions and attitudes after vaccination.

Methods

This cross-sectional study was conducted over four months (August 2021- December 2021) and included the general Jordanian population above 18 years old.

Results

A total of 398 participants were included in the study, with the majority (around 81.0%) received at least one dose of any of COVID-19 vaccines approved for use in Jordan. Most non-vaccinated participants (67.4%) were either unwilling to receive the COVID-19 vaccine or unsure. The main reasons for receiving the vaccine were: family protection, self-protection, global efforts to fight the virus and local restrictions, with some variability between vaccinated and non-vaccinated. The major reasons for fear of COVID-19 vaccines were limited research, vaccine effectiveness, and vaccine side effects. Pfizer-BioNTech vaccine was the most trusted vaccine by vaccinated and non-vaccinated participants (47.8% and 57.9%, respectively), and Oxford-AstraZeneca was the most feared by them (42.2% and 57.9%, respectively). Internet websites (>85.0%), social media platforms (>70.0%), relatives and friends (>69.0%), and news applications (>60.0%) were the major sources of information about the COVID-19 vaccines among participants.

Conclusion

Our results revealed that hesitation in receiving the vaccine remains a challenge in Jordan, as in other countries. The findings also show that participants, regardless of their vaccination status, had many concerns about the four types of vaccines approved for use in Jordan during the study conduction period. Moreover, the participants' perceptions and attitudes towards the vaccines were variable between vaccinated and non-vaccinated participants and were variable for the four types of vaccines.

COVID-19 vaccine in pregnant women and pregnancy outcomes: A historical cohort in center of Iran

BACKGROUND

Starting vaccination in pregnant women; numerous theories have been proposed that the vaccine might affect the mother or the fetus.

OBJECTIVE

The goal of this research was to see whether there was a link between the Sinopharm vaccination and certain pregnancy outcomes in COVID-19-vaccinated women.

STUDY DESIGN

This is a retrospective cohort study.

METHOD

This study was conducted on pregnant women who delivered from 1 August 2021 to 1 January 2022 in Yazd city. We have followed the STROBE Guidelines when preparing the manuscript. In this period time, all pregnant women were 5787 people in which 5666 were in the second and third trimester. Among these women, 1222 women were randomly selected.

RESULTS

Among 1222 pregnant women, 558 (45.6%) women had received one dose vaccine, 162 (13.3%) people had received two doses, and 502 (41.1%) women had not been vaccinated. On crude analysis, there was no significant difference between vaccinated and non-vaccinated groups. After adjusting for maternal age, maternal body mass index, parity, stillbirth history, abortion history, and gestational diabetes in multivariate analysis, no differences were found between the groups in pregnancy as well.

CONCLUSION

Vaccinations during pregnancy seem to have no negative effects on the mother or the baby. This finding may aid pregnant women in deciding whether or not to take the vaccination.

Ethnic homophily affects vaccine prioritization strategies

People are more likely to interact with other people of their ethnicity-a phenomenon known as ethnic homophily. In the United States, people of color are known to hold proportionately more high-contact jobs and are thus more at risk of virus infection. At the same time, these ethnic groups are on average younger than the rest of the population. This gives rise to interesting disease dynamics and non-trivial trade-offs that should be taken into consideration when developing prioritization strategies for future mass vaccine roll-outs. Here, we study the spread of COVID-19 through the US population, stratified by age, ethnicity, and occupation, using a detailed, previously-developed compartmental disease model. Based on historic data from the US mass COVID-19 vaccine roll-out that began in December 2020, we show, (i) how ethnic homophily affects the choice of optimal vaccine allocation strategy, (ii) that, notwithstanding potential ethical concerns, differentiating by ethnicity in these strategies can improve outcomes (e.g., fewer deaths), and (iii) that the most likely social context in the United States is very different from the standard assumptions made by models which do not account for ethnicity and this difference affects which allocation strategy is optimal. This manuscript was submitted as part of a theme issue on "Modelling COVID-19 and Preparedness for Future Pandemics".

Prioritization preferences for COVID-19 vaccination are consistent across five countries

Vaccination against COVID-19 is making progress globally, but vaccine doses remain a rare commodity in many parts of the world. New virus variants require vaccines to be updated, hampering the availability of effective vaccines. Policymakers have defined criteria to regulate who gets priority access to the vaccination, such as age, health complications, or those who hold system-relevant jobs. But how does the public think about vaccine allocation? To explore those preferences, we surveyed respondents in Brazil, Germany, Italy, Poland, and the United States from September to December of 2020 using ranking and forced-choice tasks. We find that public preferences are consistent with expert guidelines prioritizing health-care workers and people with medical preconditions. However, the public also considers those signing up early for vaccination and citizens of the country to be more deserving than later-comers and non-citizens. These results hold across measures, countries, and socio-demographic subgroups.

COVID-19 vaccine equity in doldrums: Good governance deficits

This paper explores whether inequities in access to COVID-19 vaccines can be attributed to governance deficits, particularly for developing and emerging countries where poor governance is widespread, but also for developed countries, where governments' performance fell short of expectations. These shared performance deficits beg questions about the impact of governance quality as well as the interplay of ethics in governance when life-or-death decisions must be made. It also explores the impact of COVID-19 on development, especially in the areas of poverty and employment. The findings of the paper show that there is a positive correlation between vaccine equity and good governance, meaning that countries with higher scores in governance rankings have more access to vaccines and have vaccinated most of their populations. Similarly, countries with relatively lower scores in governance rankings have poor access to and distribution of vaccines and have only covered a limited number of their people. The paper further points to disastrous societal impacts of COVID-19 vaccine inequity on poverty and employment, which have hindered global development.

Racial-Ethnic Residential Clustering and Early COVID-19 Vaccine Allocations in Five Urban Texas Counties

Previous research has indicated that racial-ethnic minority communities lack a wide variety of health-related organizations. We examine how this relates to the early COVID-19 vaccine rollout. In a series of spatial error and linear growth models, we analyze how racial-ethnic residential segregation is associated with the distribution of vaccine sites and vaccine doses across ZIP codes in the five largest urban counties in Texas. We find that Black and Latino clustered ZIP codes are less likely to have vaccine distribution sites and that this disparity is partially explained by the lack of hospitals and physicians' offices in these areas. Moreover, Black clustering is also negatively related to the number of allocated vaccine doses, and again, this is largely explained by the unequal distribution of health care resources. These results suggest that extant disparities in service provision are key to understanding racial-ethnic inequality in an acute crisis like the COVID-19 pandemic.

Number of averted COVID-19 cases and deaths attributable to reduced risk in vaccinated individuals in Japan

BACKGROUND

In Japan, vaccination against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was initiated on 17 February 2021, mainly using messenger RNA vaccines and prioritizing health care professionals. Whereas nationwide vaccination alleviated the coronavirus disease 2019 (COVID-19)-related burden, the population impact has yet to be quantified in Japan. We aimed to estimate the numbers of COVID-19 cases and deaths prevented that were attributable to the reduced risk among vaccinated individuals via a statistical modeling framework.

METHODS

We analyzed confirmed cases registered in the Health Center Real-time Information-sharing System on COVID-19 (3 March-30 November 2021) and publicly reported COVID-19-related deaths (24 March-30 November 2021). The vaccination coverage over this time course, classified by age and sex, was extracted from vaccine registration systems. The total numbers of prevented cases and deaths were calculated by multiplying the daily risk differences between unvaccinated and vaccinated individuals by the population size of vaccinated individuals.

FINDINGS

For both cases and deaths, the averted numbers were estimated to be the highest among individuals aged 65 years and older. In total, we estimated that 564,596 (95% confidence interval: 477,020-657,525) COVID-19 cases and 18,622 (95% confidence interval: 6522-33,762) deaths associated with SARS-CoV-2 infection were prevented owing to vaccination during the analysis period (i.e., fifth epidemic wave, caused mainly by the Delta variant). Female individuals were more likely to be protected from infection following vaccination than male individuals whereas more deaths were prevented in male than in female individuals.

INTERPRETATION

The vaccination program in Japan led to substantial reductions in the numbers of COVID-19 cases and deaths (33% and 67%, respectively). The preventive effect will be further amplified during future pandemic waves caused by variants with shared antigenicity.

FUNDING

This project was supported by the Japan Science and Technology Agency; the Japan Agency for Medical Research and Development; the Japan Society for the Promotion of Science; and the Ministry of Health, Labour and Welfare.

Leveraging artificial intelligence to optimize COVID-19 robust spread and vaccination roll-out strategies in Southern Africa

The outbreak of coronavirus in the year 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) prompted widespread illness, death, and extended economic devastation worldwide. In response, numerous countries, including Botswana and South Africa, instituted various clinical public health (CPH) strategies to mitigate and control the disease. However, the emergence of variants of concern (VOC), vaccine hesitancy, morbidity, inadequate and inequitable vaccine supply, and ineffective vaccine roll-out strategies caused continuous disruption of essential services. Based on Botswana and South Africa hospitalization and mortality data, we studied the impact of age and gender on disease severity. Comparative analysis was performed between the two countries to establish a vaccination strategy that could complement the existing CPH strategies. To optimize the vaccination roll-out strategy, artificial intelligence was used to identify the population groups in need of insufficient vaccines. We found that COVID-19 was associated with several comorbidities. However, hypertension and diabetes were more severe and common in both countries. The elderly population aged ≥60 years had 70% of major COVID-19 comorbidities; thus, they should be prioritized for vaccination. Moreover, we found that the Botswana and South Africa populations had similar COVID-19 mortality rates. Hence, our findings should be extended to the rest of Southern African countries since the population in this region have similar demographic and disease characteristics.

Explaining vaccine hesitancy: A COVID-19 study of the United States

Using recent data on the unvaccinated population across US states, this paper focuses on the determinants of vaccine hesitancy related to the COVID-19 pandemic. Findings show that more prosperous states and states with more elderly residents and more physicians have lower vaccine hesitancy. There was some evidence of the significance of race, but internet access and history of other contagious diseases failed to make a difference. States with centralized health systems and those with mask mandates generally had a lower percentage of unvaccinated populations. Finally, the presence of Democrats in state legislatures tended to lower vaccination hesitancies, ceteris paribus.

Age discrimination, the right to life, and COVID-19 vaccination in countries with limited resources

This paper seeks to develop and apply a simple yardstick based on remaining life expectancy to assess whether specific health policies unfairly discriminate against people on the basis of their age. This reveals that the COVID-19 vaccine prioritization policies of several countries have discriminated against older people. Conversely, the exclusion of older people from COVID-19 vaccine testing is shown to be non-discriminatory, as is some degree of age prioritization for limited acute COVID-19 care. Age discrimination in vaccine prioritization is shown to be embedded in wider ageist attitudes in health policy, which give the lives of older people a lower social value than the lives of people at younger ages.

How can age-based vaccine allocation strategies be optimized? A multi-objective optimization framework

Human life is deeply influenced by infectious diseases. A vaccine, when available, is one of the most effective ways of controlling the spread of an epidemic. However, vaccine shortage and uncertain vaccine effectiveness in the early stage of vaccine production make vaccine allocation a critical issue. To tackle this issue, we propose a multi-objective framework to optimize the vaccine allocation strategy among different age groups during an epidemic under vaccine shortage in this study. Minimizing total disease onsets and total severe cases are the two objectives of this vaccine allocation optimization problem, and the multistage feature of vaccine allocation are considered in the framework. An improved Strength Pareto Evolutionary Algorithm (SPEA2) is used to solve the optimization problem. To evaluate the two objectives under different strategies, a deterministic age-stratified extended SEIR model is developed. In the proposed framework, different combinations of vaccine effectiveness and vaccine production capacity are investigated, and it is identified that for COVID-19 the optimal strategy is highly related to vaccine-related parameters. When the vaccine effectiveness is low, allocating most of vaccines to 0-19 age group or 65+ age group is a better choice under a low production capacity, while allocating most of vaccines to 20-49 age group or 50-64 age group is a better choice under a relatively high production capacity. When the vaccine effectiveness is high, a better strategy is to allocate vaccines to 65+ age group under a low production capacity, while to allocate vaccines to 20-49 age group under a relatively high production capacity.

Errors in Converting Principles to Protocols: Where the Bioethics of U.S. Covid-19 Vaccine Allocation Went Wrong

For much of 2021, allocating the scarce supply of Covid-19 vaccines was the world's most pressing bioethical challenge, and similar challenges may recur for novel therapies and future vaccines. In the United States, the Centers for Disease Control and Prevention's Advisory Committee on Immunization Practices (ACIP) identified three fundamental ethical principles to guide the process: maximize benefits, promote justice, and mitigate health inequities. We argue that critical components of the recommended protocol were internally inconsistent with these principles. Specifically, the ACIP violated its principles by recommending overly broad health care worker priority in phase 1a, using being at least seventy-five years of age as the only criterion to identify individuals at high risk of death from Covid-19 during phase 1b, failing to recommend place-based vaccine distribution, and implicitly endorsing first-come, first-served allocation. More rigorous empirical work and the development of a complete ethical framework that recognizes trade-offs between principles may have prevented these mistakes and saved lives.

The citizen preferences-positive externality trade-off: A survey study of COVID-19 vaccine deployment in Japan

Objective

Medicine is a scarce resource and a public good that benefits others by bettering patients’ health. COVID-19 vaccines in shortage are, 1) a scarce resource and 2) a public good with the positive externality of building herd immunity. These features are expected to drive citizens’ attitudes in opposite directions, exclusionist and inclusionist, respectively. Scarcity would drive citizens’ exclusionism, while the positive externality might mitigate exclusionism.

Setting and design

We recruited 15,000 Japanese adults and asked them to rank, in the context of a COVID-19 vaccine shortage, the deservingness of hypothetical vaccine recipients who differed according to 1) citizenship status, 2) visa type and duration of stay (if foreign), 3) occupation, 4) age, 5) whether they lived with a child, and 6) whether they lived with an elderly individual. Citizenship options were Japanese, Chinese, Taiwanese, South Korean, American, or European. The occupations were healthcare, education, other employed, self-employed, or not employed. The 6 attributes were randomly combined, and respondents were shown 3 hypothetical vaccine recipients: one was Japanese, and the others were foreigners.

Treatments

First, through a conjoint design, we created hypothetical vaccine recipients whose attributes were randomized except for the benchmark citizenship, Japanese national. Second, we randomly presented two scenarios for vaccination payments: 1) billed at cost or 2) fully subsidized by the government.

Results

1) Whether the vaccines were billed at cost or fully subsidized did not affect the rankings of deservingness. 2) Japanese citizenship was prioritized. 3) The penalty for being a foreigner was higher for individuals from nations with which Japan has geopolitical tensions. 4) Working in health or education reduced the penalty on foreigners, indicating that the positive externality related to occupation amplifies the positive externality associated with vaccination and mitigates exclusionist attitudes.

Conclusions

The positive occupational externalities that amplify the positive externality of vaccination substantially allay the foreigner penalty.

The role of connectivity on COVID-19 preventive approaches

Preventive and modeling approaches to address the COVID-19 pandemic have been primarily based on the age or occupation, and often disregard the importance of heterogeneity in population contact structure and individual connectivity. To address this gap, we developed models based on Erdős-Rényi and a power law degree distribution that first incorporate the role of heterogeneity and connectivity and then can be expanded to make assumptions about demographic characteristics. Results demonstrate that variations in the number of connections of individuals within a population modify the impact of public health interventions such as lockdown or vaccination approaches. We conclude that the most effective strategy will vary depending on the underlying contact structure of individuals within a population and on timing of the interventions.

COVID-19 Vaccination Intentions amongst Healthcare Workers: A Scoping Review

A worldwide vaccination programme is the chosen strategy against the COVID-19 pandemic. Vaccine hesitancy, however, forms a threat to achieving a high degree of vaccination. Healthcare workers (HCWs) are exposed to greater risks, in addition to HCWs who care for people with intellectual disabilities (ID). However, little is still known about these groups' vaccine hesitancy. This review aims to provide insight into the intentions and attitudes of HCWs on COVID-19 vaccination, including those who care for people with ID. The search included both types and was conducted in nine databases. A total of 26 papers were identified concerning the vaccine intentions of 43,199 HCWs worldwide. The data were gathered both quantitively and qualitatively. The papers were analysed for all of the themes regarding vaccine intentions, which were: (1) percentages of vaccine willingness; (2) predictors of willingness; (3) attitudes of willingness and hesitancy; (4) sources of vaccination information; (5) contextual factors and changes in COVID-19 vaccine acceptance over time; and (6) future strategies for interventions. Concerns about vaccine safety, efficacy and short- and long-term side effects were the most prominent in HCWs and, therefore, should be addressed in future intervention strategies. Furthermore, interactive interventions are recommended to facilitate exchange, and accurate information should be accessible to target groups on social media platforms.

Advances in COVID-19 Vaccines and New Coronavirus Variants

With the successful development of the Corona Virus Disease 2019 (COVID-19) vaccines and increased vaccination coverage, great progress in global outbreak control has been made in several countries. However, new coronavirus variants emerge and their rapid spread, causing a new wave of economic and social upheaval worldwide. The spread of new coronavirus variants poses a new and enormous challenge to vaccination and pandemic control, so further studies to explore and develop vaccines for the prevention and control virus infection are warranted. In this review, we provide an overview of the most prevalent variants including Omicron, and explore the effectiveness of COVID-19 vaccines against related variants to better understand existing vaccines and to facilitate improved research into new vaccines. In addition, this review discusses existing strategies to increase vaccine efficacy and introduces novel vaccines by the non-injection route.

Geographic and Temporal Patterns in Covid-19 Mortality by Race and Ethnicity in the United States from March 2020 to February 2022

Prior research has established that American Indian, Alaska Native, Black, Hispanic, and Pacific Islander populations in the United States have experienced substantially higher mortality rates from Covid-19 compared to non-Hispanic white residents during the first year of the pandemic. What remains less clear is how mortality rates have changed for each of these racial/ethnic groups during 2021, given the increasing prevalence of vaccination. In particular, it is unknown how these changes in mortality have varied geographically. In this study, we used provisional data from the National Center for Health Statistics (NCHS) to produce age-standardized estimates of Covid-19 mortality by race/ethnicity in the United States from March 2020 to February 2022 in each metro-nonmetro category, Census region, and Census division. We calculated changes in mortality rates between the first and second years of the pandemic and examined mortality changes by month. We found that when Covid-19 first affected a geographic area, non-Hispanic Black and Hispanic populations experienced extremely high levels of Covid-19 mortality and racial/ethnic inequity that were not repeated at any other time during the pandemic. Between the first and second year of the pandemic, racial/ethnic inequities in Covid-19 mortality decreased-but were not eliminated-for Hispanic, non-Hispanic Black, and non-Hispanic AIAN residents. These inequities decreased due to reductions in mortality for these populations alongside increases in non-Hispanic white mortality. Though racial/ethnic inequities in Covid-19 mortality decreased, substantial inequities still existed in most geographic areas during the pandemic's second year: Non-Hispanic Black, non-Hispanic AIAN, and Hispanic residents reported higher Covid-19 death rates in rural areas than in urban areas, indicating that these communities are facing serious public health challenges. At the same time, the non-Hispanic white mortality rate worsened in rural areas during the second year of the pandemic, suggesting there may be unique factors driving mortality in this population. Finally, vaccination rates were associated with reductions in Covid-19 mortality for Hispanic, non-Hispanic Black, and non-Hispanic white residents, and increased vaccination may have contributed to the decreases in racial/ethnic inequities in Covid-19 mortality observed during the second year of the pandemic. Despite reductions in mortality, Covid-19 mortality remained elevated in nonmetro areas and increased for some racial/ethnic groups, highlighting the need for increased vaccination delivery and equitable public health measures especially in rural communities. Taken together, these findings highlight the continued need to prioritize health equity in the pandemic response and to modify the structures and policies through which systemic racism operates and has generated racial health inequities.

Willingness to receive COVID-19 vaccine and associated factors among adult chronic patients. A cross-sectional study in Northwest Ethiopia

Background

People with pre-existing chronic diseases are more likely to acquire COVID-19 infections, which can be fatal, and die from COVID-19 illness. COVID-19 vaccination will benefit those at a higher risk of developing complications and dying from the disease. This study aimed to determine chronic patients’ willingness to receive a COVID-19 vaccine and the factors that influence their willingness.

Method

An institutional-based cross-sectional study was conducted among 423 adult chronic patients in the University of Gondar specialized hospital outpatient departments. The participants were chosen using systematic random sampling methods with an interval of 5. Face-to-face interviews were used to collect data from eligible respondents. Epi-data version 4.6 and SPSS version 25 were used for the data entry data analysis. Bivariable and multivariable binary logistic regression analyses were used to evaluate the relationship between the dependent and independent factors. An odds ratio with 95 percent confidence intervals and a P-value was used to determine the association’s strength and statistical significance.

Result

Out of 401 respondents, 219 (54.6%) with [95% CI (49.7–59.5%)] of study participants were willing to receive the COVID-19 vaccination. Being a healthcare worker (AOR = 2.94, 95% CI: 1.24–6.96), Lost family members or friends due to COVID-19 (AOR = 2.47, 95% CI: 1.21–5.00), good knowledge about COVID-19 vaccine (AOR = 2.44, 95% CI: 1.37–4.33), favorable attitude towards COVID-19 vaccine (AOR = .8.56 95% CI: 4.76–15.38), perceived suitability of the COVID-19 infection (AOR = 2.94, 95% CI: 1.62–5.33) and perceived benefit of the COVID-19 vaccine (AOR = 1.89, 95% CI: 1.08–3.31), were found to be a significant association with the willingness to receive the COVID-19 vaccine among chronic patients.

Conclusion

This study confirms that around 55% of adult chronic patients were willing to receive the COVID-19 vaccine. Providing health education for chronic patients to emphasize the knowledge and attitude of the COVID-19 vaccine and raise patients’ perceived risk of COVID-19 and the benefit of the COVID-19 vaccine could be recommended to improve their willingness to COVID-19 vaccination.

Polarized Citizen Preferences for the Ethical Allocation of Scarce Medical Resources in 20 Countries

Objective. When medical resources are scarce, clinicians must make difficult triage decisions. When these decisions affect public trust and morale, as was the case during the COVID-19 pandemic, experts will benefit from knowing which triage metrics have citizen support. Design. We conducted an online survey in 20 countries, comparing support for 5 common metrics (prognosis, age, quality of life, past and future contribution as a health care worker) to a benchmark consisting of support for 2 no-triage mechanisms (first-come-first-served and random allocation). Results. We surveyed nationally representative samples of 1000 citizens in each of Brazil, France, Japan, and the United States and also self-selected samples from 20 countries (total N = 7599) obtained through a citizen science website (the Moral Machine). We computed the support for each metric by comparing its usability to the usability of the 2 no-triage mechanisms. We further analyzed the polarizing nature of each metric by considering its usability among participants who had a preference for no triage. In all countries, preferences were polarized, with the 2 largest groups preferring either no triage or extensive triage using all metrics. Prognosis was the least controversial metric. There was little support for giving priority to healthcare workers. Conclusions. It will be difficult to define triage guidelines that elicit public trust and approval. Given the importance of prognosis in triage protocols, it is reassuring that it is the least controversial metric. Experts will need to prepare strong arguments for other metrics if they wish to preserve public trust and morale during health crises.

Bioética social, deberes del Estado derecho y deberes civiles en la vacunación COVID-19

La industria biotecnológica ha desarrollado en tiempo récord varias vacunas que están a disposición de los Gobiernos para ser adquiridas, distribuidas y aplicadas a la sociedad civil para frenar la pandemia delCOVID-19. La población debe confiar en las vacunas como medio para adquirir la inmunidad de rebaño, de lo contrario tendremos que adquirir la inmunidad por contagio. La bioética centrada en la ética clínica amplía su visión a una bioética social que reconoce los derechos fundamentales a la salud, la vida y los deberes del Estado a la adquisición, distribución, acceso, aplicación y vigilancia de la vacunación durante la pandemia del COVID-19. Se reconocen el derecho a la autonomía y a las libertades individuales y los deberes civiles de responsabilidad, compromiso y solidaridad ante las políticas de salud pública. La bioética social es un actor dentro de la pandemia que se relaciona con las personas, las comunidades, el Estado y la salud pública y que se argumenta a través de la ética personal y de responsabilidad. El objetivo de este artículo es dar a conocer la importancia de la bioética social, integrada a los deberes del Estado, los derechos y deberes civiles en la vacunación contra la enfermedad COVID-19.

Public anxiety through various stages of COVID-19 coping: Evidence from China

As countries underwent the initiation, peak, post-peak, and early vaccination stages of COVID-19, the changing risk perception, coping behaviors and corresponding psychological stress experienced by the public over time was rarely reported. We conducted a national scale panel study using social-psychological data collected from 5,983 questionnaires to investigate the interactions between anxiety level, risk perception and coping behavior during different stages of COVID-19 in China. We found that sustained perceiving worries of being infected, first due to domestic and then global pandemic, contributed to the persistent high proportion of respondents with anxiety disorders which even gradually increased over time (56.1% during initiation to 60.4% during early vaccination). Gender was the strongest predictor of anxiety at all stages, with females having less confidence in COVID-19 control and always suffering from much higher anxiety levels than males even during the post peak stage. Excessive protective behavior and frequency of access to COVID-related news also contributed to public anxiety. Additionally, public risk perception was significantly associated with their willingness to vaccinate. The findings verify the feasibility of taking stage-specific and gender-based risk communication strategies to alleviate the pandemic-related public anxiety and promote vaccination by influencing public risk perception and guiding coping behaviors.

An equitable and accessible vaccine supply chain network in the epidemic outbreak of COVID-19 under uncertainty

Vaccination is one of the most efficient ways to restrict and control the spread of epidemic outbreaks such as COVID-19. Due to the limited COVID-19 vaccine supply, an equitable and accessible plan should be prepared to cope with. This research focuses on designing a vaccine supply chain while aiming to achieve an equitable and accessible network. We present a novel mathematical formulation that helps to optimize vaccine distribution to inoculate people with various priority levels to achieve an equitable plan. The transshipment strategy is also incorporated into the model to enhance the accessibility of COVID-19 vaccine types between health facilities. The nature of COVID-19 is dynamic over time due to mutations, and the protection level of each vaccine type against this disease is not exact. Besides, complete information about the demand for different vaccine types is not available. Hence, we use Multi-Stage Stochastic Programming as a reliable strategy that is organized to manage stochastic data in a dynamic environment for the first time in the vaccine supply chain network. The scenarios in this approach are generated using a Monte Carlo simulation method, and then a forward scenario reduction technique is conducted to construct a suitable scenario tree. The practicality and capability of the model are shown in a real-life case of Iran. The results show that the performance of the Multi-Stage Stochastic Programming is significantly improved compared with the two-stage stochastic programming regarding the total cost of the vaccine supply chain and the number of the shortage units.

Ethical reflections on Covid-19 vaccines

OBJECTIVES

More than 1 year after the start of the Covid-19 pandemic it is becoming increasingly clear that vaccines will prove to be essential in combating this global pandemic. The demand for such vaccines is great (since nearly everyone is a candidate for vaccination) yet supplies are currently limited. This raises clear ethical questions regarding the current and future Covid-19 vaccines.

METHODS

In this paper we highlight the several ethical questions that are raised using a three-fold categorization. We will discuss questions concerning: (1) the design and testing of vaccines; (2) who gets the vaccines; and (3) the tensions between public health and individual interest/autonomy. Each of these three more broad categories encompasses many different and concrete ethical questions.

RESULTS

We argue that different ethical frameworks apply both across these three categories, but also within these categories.

CONCLUSION

Despite the fact that ethical conflict might not completely disappear, we argue that distinguishing and discussing separate questions from an ethical perspective can help create the necessary clarity and provide an ethical justification in favour of particular vaccination issues.

Prioritizing COVID-19 vaccination. Part 2: Real-time comparison between single-dose and double-dose in Japan

Japan successfully implemented a mass vaccination program for coronavirus disease 2019 (COVID-19), immunizing more than 1 million persons a day by July 2021. Given the COVID-19 vaccination capacity limitations, an urgent question was raised regarding whether it would be better to (ⅰ) complete double-dose COVID-19 vaccination among healthcare personnel and older adults before beginning double-dose vaccination of younger adults (double-dose strategy) or (ⅱ) allocate a single dose of COVID-19 vaccine to all adults regardless of age before administering the second dose (single-dose-first strategy). We used an age-structured susceptible-infectious-recovered (SIR) compartment model to compare the effectiveness of possible COVID-19 vaccination strategies and the length of public health and social measures (PHSM) to minimize the cumulative COVID-19 disease risk and death toll. Our results indicate that if the single-dose-first strategy was taken, an estimated total of 1,387,078 persons, i.e., 263,315 children, 928,518 young adults, and 195,245 older adults, would develop COVID-19, resulting in 15,442 deaths. In contrast, if the double-dose strategy was taken instead, an estimated total of 1,900,172 persons, i.e., 377,107 children, 1,315,927 young adults, and 207,138 older adults, would develop COVID-19, yielding 17,423 deaths. Real-time investigation favored the disease transmission blocking option, i.e., single-dose vaccination strategy. Applying the single-dose-first strategy should yield a smaller epidemic size than applying the double-dose strategy; however, for both strategies, PHSM will be essential by the time second-dose COVID-19 vaccination is complete among all adults.

Prioritizing COVID-19 vaccination. Part 1: Final size comparison between a single dose and double dose

In response to the coronavirus disease 2019 (COVID-19) pandemic, Japan conducted mass vaccination. Seventy-two million doses of vaccine (i.e., for 36 million people if a double dose is planned per person) were obtained, with initial vaccination of the older population (≡ 65 years). Because of the limited number of vaccines, the government discussed shifting the plan to administering only a single dose so that younger individuals (<65 years) could also be vaccinated with one shot. This study aimed to determine the optimal vaccine distribution strategy using a simple mathematical method. After accounting for age-dependent relative susceptibility after single- and double-dose vaccination (vs and vd, respectively, compared with unvaccinated), we used the age-dependent transmission model to compute the final size for various patterns of vaccine distributions. Depending on the values of vs, the cumulative risk of death would be lower if all 72 million doses were used as a double dose for older people than if a single-dose program was conducted in which half is administered to older people and the other half is administered to adults (i.e., 1,856,000 deaths in the former program and 1,833,000-2,355,000 deaths [depending on the values of vs] in the latter). Even if 90% of older people were vaccinated twice and 100% of adults were vaccinated once, the effective reproduction number would be reduced from 2.50 to1.14. Additionally, the cumulative risk of infection would range from 12.0% to 54.6% and there would be 421,000-1,588,000deaths (depending on the values of vs). If an epidemic appears only after completing vaccination, vaccination coverage using a single-dose program with widespread vaccination among adults will not outperform a double-dose strategy.

Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia

While the swift development and production of a COVID-19 vaccine has been a remarkable success, it is equally crucial to ensure that the vaccine is allocated and distributed in a timely and efficient manner. Prior research on pandemic supply chain has not fully incorporated the underlying factors and constraints in designing a vaccine allocation model. This study proposes an innovative vaccine allocation model to contain the spread of infectious diseases incorporating key contributing factors to the risk of uninoculated people including susceptibility rate and exposure risk. Analyses of the data collected from the state of Victoria in Australia show that a vaccine allocation model can deliver a superior performance in minimizing the risk of unvaccinated people when a multi-period approach is employed and augmenting operational mechanisms including transshipment between medical centers, capacity sharing, and mobile units being integrated into the vaccine allocation model.

Impact of prioritized vaccinations for the elderly on the COVID-19 pandemic in Japan

The Japanese government implemented a large-scale vaccination policy against the coronavirus disease 2019 (COVID-19) pandemic, primarily using messenger RNA vaccines in 2021. Its hallmark was prioritized vaccination for the elderly after healthcare workers in a short period of time. Vaccination for the elderly, vulnerable to infection and severe disease, was carried out rapidly in approximately 4 months since April 2021. We evaluated the impact of Japan's vaccination policy against COVID-19 during the pandemic, with a particular focus on how prioritized vaccination for the elderly affected the pandemic. We observed a remarkable decrease in the number of infections, cluster events in long-term care facilities, and severe disease among the elderly during the fifth wave (August 2021) despite rising incidence of infections in the overall population. In conclusion, we think that prioritized vaccination for the elderly was efficacious in preventing infections and severe COVID-19 among the elderly during the fifth wave in Japan.

Studying SARS-CoV-2 vaccine hesitancy among health professionals in Tunisia

Background

People's lives were seriously affected by the emergence and the spread of the COVID-19 disease. Several vaccines were developed in record time to overcome this pandemic. However, putting an end to this public health problem requires substantial vaccination coverage rate. This latter depends on the acceptance of these vaccines especially by health professionals; the leaders of the current war against COVID-19. In fact, they have a central role in promoting vaccination against the SARS-CoV-2. In the developed countries, hesitancy rates towards these vaccines among health professionals vary from 4.3% to 72%. In the developing countries, few studies focused on this issue.

Objective

To estimate the prevalence and the predictors of SARS-CoV-2 vaccine hesitancy among the Tunisian health professionals.

Methods

A cross-sectional study was led online between the 7th and the 21th of January 2021 among Tunisian health professionals. At least 460 participants were required. Snowball sampling method served to recruit participants. Data were collected using a pre-established and pre-tested questionnaire recorded in a free Google form. The link of the questionnaire was disseminated online to be self-administered anonymously to the participants. The generated online Google Sheet was uploaded and exported to SPSS software for analysis.

Results

Of the 546 responses, 493 were retained. The mean age of participants was 37.4 (± 9.5) years. Females represented 70.2% of participants. Social media represented the most frequently used source of information about COVID-19. The prevalence of SARS-CoV-2 vaccine hesitancy among participants was 51.9% (95% CI_: 47.5–56.3)). Female sex, working far from the capital and having concerns about the vaccines components predicted more hesitancy among participants. In contrast, the use of the national COVID-19 information website predicted less hesitancy among them.

Conclusions

The current Tunisian communication plan about COVID-19 vaccines must be reinforced. Social media represent a cost effective communication channel that can serve to reassure Tunisian health professionals regarding the safety of COVID-19 vaccines. Special interest should be paid to females, paramedical professionals and those working far from the capital.

COVID-19 Vaccine Rollouts and the Reproduction of Urban Spatial Inequality: Disparities Within Large US Cities in March and April 2021 by Racial/Ethnic and Socioeconomic Composition

Rollouts of COVID-19 vaccines in the USA were opportunities to redress disparities that surfaced during the pandemic. Initial eligibility criteria, however, neglected geographic, racial/ethnic, and socioeconomic considerations. Marginalized populations may have faced barriers to then-scarce vaccines, reinforcing disparities. Inequalities may have subsided as eligibility expanded. Using spatial modeling, we investigate how strongly local vaccination levels were associated with socioeconomic and racial/ethnic composition as authorities first extended vaccine eligibility to all adults. We harmonize administrative, demographic, and geospatial data across postal codes in eight large US cities over 3 weeks in Spring 2021. We find that, although vaccines were free regardless of health insurance coverage, local vaccination levels in March and April were negatively associated with poverty, enrollment in means-tested public health insurance (e.g., Medicaid), and the uninsured population. By April, vaccination levels in Black and Hispanic communities were only beginning to reach those of Asian and White communities in March. Increases in vaccination were smaller in socioeconomically disadvantaged Black and Hispanic communities than in more affluent, Asian, and White communities. Our findings suggest vaccine rollouts contributed to cumulative disadvantage. Populations that were left most vulnerable to COVID-19 benefited least from early expansions in vaccine availability in large US cities.

Assessment of the Citizens’ Perspectives on the COVID-19 Vaccination Process Which Are Ranked Last in The Vaccination Groups: Qualitative Reports from Turkey in the Early Stages of the Vaccination Process

Aim: To evaluate the perspectives of the citizens ranking last in COVID-19 vaccination groups in terms of the vaccination process. Methods: In-depth interviews were carried out with the participants using the video conferencing method. Twenty-eight video conferencing interviews were conducted with citizens who ranked last in the vaccination groups. With the permission of the participants, an audio recording was obtained in all interviews, transcribed verbatim, and checked. A thematic approach was used to analyze the data. Data were collected until saturated. Results: The findings were summarized into three main categories. The first was “Satisfaction.” Participants expressed their satisfaction with process management, home vaccinations, and continuous information. The second theme was "Dissatisfaction.” Some participants expressed their dissatisfaction with the prioritization of elderly people in vaccination and late vaccination of actively working individuals. The third theme was "Reservations." Participants stated that they have reservations regarding a possible complacency in society after vaccinations and a delay in the vaccination of non-prioritized groups. In general, participants stated that they were satisfied with the supply of vaccines and performance. However, actively working individuals think that they should have priority over the elderly in vaccination. Conclusion: To ensure full compliance with the vaccine administration, it is necessary to enlighten all individuals, especially those ranking last in the vaccination groups, about the prioritization process and which variables are considered important. Keywords: COVID-19, qualitative, vaccination, family practice

COVID-19 Booster Vaccine Equity for Patients with Cancer

Current CDC recommendations mimic guidelines during initial vaccine phases by prioritizing extremely large patient populations for expedited booster vaccinations. We identified every states' COVID vaccination webpage in February of 2021. Nearly twothirds of states elected not to give adequate vaccination prioritization to patients with cancer during the initial phases under similar guidance, this approach raises the question of whether state-level decisions on how to sub prioritize patients may again inadvertently result in delayed immunizations for particularly vulnerable subgroups - such as patients with cancer. With the delta variant continuing its unchecked global spread and vaccine-related immunity potentially waning, equitable distribution of booster immunizations is essential to minimizing inherent medical, age-related, and socioeconomic inequities in COVID-related morbidity and mortality between populations.

Exploring the ethics of genetic prioritisation for COVID-19 vaccines

There is evidence to suggest that host genomic factors may account for disease response variability in COVID-19 infection. In this paper, we consider if and how host genomics should influence decisions about vaccine allocation. Three potential host genetic factors are explored: vulnerability to infection, resistance to infection, and increased infectivity. We argue for the prioritisation of the genetically vulnerable in vaccination schemes, and evaluate the potential for ethical de-prioritisation of individuals with genetic markers for resistance. Lastly, we discuss ethical prioritisation of individuals with genetic markers for increased infectivity (those more likely to spread COVID-19).

A decision support system for prioritised COVID-19 two-dosage vaccination allocation and distribution

This study proposes a decision support system (DSS) that integrates GIS, analytics, and simulation methods to help develop a priority-based distribution of COVID-19 vaccines in a large urban setting. The methodology applies novel hierarchical heuristic-simulation procedures to create a holistic algorithm for prioritising the process of demand allocation and optimising vaccine distribution. The Melbourne metropolitan area in Australia with a population of over five million is used as a case study. Three vaccine supply scenarios, namely limited, excessive, and disruption, were formulated to operationalise a two-dose vaccination program. Vaccine distribution with hard constraints were simulated and then further validated with sensitivity analyses. The results show that vaccines can be prioritised to society's most vulnerable segments and distributed using the current logistics network with 10 vehicles. Compared with other vaccine distribution plans with no prioritisation, such as equal allocation of vaccines to local government areas based on population size or one on a first-come-first-serve basis, the plans generated by the proposed DSS ensure prioritised vaccination of the most needed and vulnerable population. The aim is to curb the spread of the infection and reduce mortality rate more effectively. They also achieve vaccination of the entire population with less logistical resources required. As such, this study contributes to knowledge and practice in pandemic vaccine distribution and enables governments to make real-time decisions and adjustments in daily distribution plans. In this way any unforeseen disruptions in the vaccine supply chain can be coped with.