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Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

Lockdowns and the forced closure of certain industries during the COVID-19 pandemic severely impacted workers, particularly entrepreneurs, who were financially and emotionally involved in their businesses. Two studies have shown that entrepreneurs have a lower willingness to get vaccinated against COVID-19 than employees. In this study, the authors try to replicate the vaccination gap between the two groups. Second, the authors study whether the difference persists when controlling for demographics, vaccination attitudes and the COVID-19 context, including the financial impact of the pandemic, its effect on the wellbeing of workers, and government attitudes. Third, the authors study whether there are differences in how the context of the pandemic relates to vaccination willingness for entrepreneurs and employees.

The authors conduct regression analyses using three large datasets. The authors study vaccination status (February 2022) in a 27-country Eurobarometer sample, vaccination intention (December 2020) in a Dutch sample from the LISS panel and vaccination status (July 2021) in a sample from the Understanding America Study (UAS).

All datasets confirm that entrepreneurs have lower vaccination intention and coverage than employees. Even when controlling for the variables described in the LISS and UAS datasets, this negative difference remains. The study results also indicate that demographics, especially vaccination attitudes, are much more important than contextual influences in the decision to get vaccinated against COVID-19.

The authors are the first to dive further into the vaccination differences between entrepreneurs and employees. They advise further research into the drivers of this gap, specifically relating to the role of personality and social normative influences.

The main purpose of the study was to synthesise the role of COVID-19 social media messages and indigenous religious beliefs on public health promotion initiatives among rural consumers in Zimbabwe.

A qualitative approach was adopted. Population consisting of 15 interviews and six focus groups was purposively sampled from Manicaland, Mashonaland Central and Masvingo provinces in Zimbabwe. A thematic approach was used to present and analyse the data.

Rural consumers believed WhatsApp messages posted by people whom they know or influential personnel like health workers. Credibility of WhatsApp messages was enhanced through its ability to send videos and audios. Teachings and indoctrination by indigenous churches and misinformation were found to be an impediment in believing COVID-19 WhatsApp messages and vaccination by rural consumers. Faith healers in indigenous churches used various practices and artefacts like holy water, stone pebbles, clay pots, flags and wooden rods to pray and treat patients suffering from COVID-19 and other ailments.

Social media messages, religious teachings and indoctrination may be a hindrance to rural consumers in adopting government public health promotion initiatives; hence, public health professionals need prior emic understanding and co-option of local leadership in vaccination campaigns.

This study outstretches the theoretical landscape in consumer behaviour and also practical contribution to health practitioners and marketers on breaking indigenous religious barriers and social media misconceptions on vaccination uptake through promotional strategies earmarked for rural consumers.

As the current Coronavirus 2019 pandemic eases, international tourism, which was greatly affected by the outbreak, is gradually recovering. The attraction of countries to overseas tourists is related to their overall performance in the pandemic. This research integrates the data of vaccination of different countries, border control policy and holidays to explore their differential impacts on the overseas tourists’ intention during the pandemic. This is crucial for destinations to built their tourism resilience. It will also help countries and industry organizations to promote their own destinations to foreign tourism enterprises.

This study proposes an analysis based on panel data for ten countries over 1,388 days. The coefficient of variation is used to measure monthly differences of Chinese tourists’ intention to visit overseas country destinations.

Results show that, for tourist intention of going abroad: border control of the destination country has a significant negative impact; daily new cases in the destination country have a significant negative impact; domestic daily new cases have a significant positive impact; holidays have significant negative impact; daily vaccination of the destination countries has significant positive impact; and domestic daily vaccination have negative significant impact.

First, there is a large uncertainty in studying consumers’ willingness to travel abroad in this particular period because of unnecessary travel abroad caused by the control of the epidemic. Second, there are limitations in studying only Chinese tourists, and future research should be geared toward a broader range of research pairs.

First, from the government perspective, a humane response can earn the respect and trust of tourists. Second, for tourism industry, to encourage the public take vaccine would be beneficial for both the tourism destination and foreign tourism companies. The same effect can be achieved by helping tourists who are troubled by border control.

First, this research provides suggestions for the government and the tourism industry to deal with such a crisis in the future. Second, this study found that vaccination has a direct impact on tourism. This provides a basis for improving people’s willingness to vaccinate. Thirdly, this study proves suggestion for the destinations to build tourism resilience.

This study analyzes the unique control measures and vaccination in different countries during the pandemic, then provides suggestions for the tourism industry to prepare for the upcoming postpandemic tourism recovery. This study is valuable for improving the economic resilience of tourism destinations. Additionally, it helps to analyze the advantages and disadvantages of different restrain policies around the world.

Successful social marketing campaign to promote COVID-19 vaccination for the unvaccinated relies on increasing positive reactions but also reducing negative responses to persuasive messages. This study aims to investigate the relative effects of narrative vs non-narrative public service announcements (PSAs) promoting COVID-19 vaccination on both positive and negative reactions. Using social media as a tool for disseminating marketing campaigns provides a great opportunity to examine the effectiveness of narrative PSAs on vaccination intention, especially among unvaccinated young adults, who were the target audience of the social marketing. This study explores the role of empathy and psychological reactance as underlying mechanisms.

An experiment involving unvaccinated young adults was conducted with a one-factor, two-condition (message type: narrative vs non-narrative) design.

Results indicated that the narrative (vs non-narrative) PSAs led to greater empathy. While no direct effects of message type emerged on psychological reactance or vaccination intention, results of a serial multi-mediator model confirmed that empathy and psychological reactance mediated the effects of message type on vaccination intention.

The study extends the understanding of narrative persuasion by examining an underlying mechanism behind narrative persuasion in a COVID-19 PSA. This study provides empirical evidence of the important role of empathy in processing narrative PSAs. Moreover, the current study expands narrative persuasion’s applicability to COVID-19 vaccination intervention messages for unvaccinated young adults, highlighting the effectiveness of narrative persuasion as a social marketing communication tool.

Disinformation on social media is a serious issue. This study examines the effects of disinformation on COVID-19 vaccination decision-making to understand how social media users make healthcare decisions when disinformation is presented in their social media feeds. It examines trust in post owners as a moderator on the relationship between information types (i.e. disinformation and factual information) and vaccination decision-making.

This study conducts a scenario-based web survey experiment to collect extensive survey data from social media users.

This study reveals that information types differently affect social media users' COVID-19 vaccination decision-making and finds a moderating effect of trust in post owners on the relationship between information types and vaccination decision-making. For those who have a high degree of trust in post owners, the effect of information types on vaccination decision-making becomes large. In contrast, information types do not affect the decision-making of those who have a very low degree of trust in post owners. Besides, identification and compliance are found to affect trust in post owners.

This study contributes to the literature on online disinformation and individual healthcare decision-making by demonstrating the effect of disinformation on vaccination decision-making and providing empirical evidence on how trust in post owners impacts the effects of information types on vaccination decision-making. This study focuses on trust in post owners, unlike prior studies that focus on trust in information or social media platforms.

Scientific description of the organization and management of a temporary large scale healthcare (T-LSHc) vaccination clinic and evidence-based guidance for future temporary healthcare (T-Hc) services.

Mixed-methods rapid feedback case study, using interviews, document analysis and quantitative data, with both data collection and analysis guided by a research-informed systems program theory of the clinic.

Private contractors were not willing to bid for contracts to set up and close a T-LSHc vaccination clinic in 2022, although they had done so earlier in the year. The public health system was able successfully to set up and run the clinic itself for 2 months, serving 3,000 people a day at its peak. Part of the success was because a dedicated unit to set up and run T-Hc services had been created in 2020. The Stockholm organization model differed from the Milan model by using information technology to reduce the need for a large number of on-site doctors.

There may be recall bias in interview data as interviews were carried out four months after the closing of the clinic. The conclusions apply to clinically simple but managerially complex T-Hc services but are limited to public healthcare systems operating in a similar context to that of the case study service. The study contributes to the new science of healthcare crisis organization and management and fills gaps in knowledge in disaster medicine for enduring and fluctuating health crises. The findings show the importance of a capacity to establish and manage T-Hc, and of the specialist management and HIT competence that health systems will need to build to meet the crises that threaten our health, both now and in the future.

Public healthcare systems can provide clinically simple and managerially complex T-Hc services quickly and successfully if they have experience and capacity to plan and set up such services, skilled operational managers respected by staff, staff who can be redeployed, and suitable health information technology.

The need for healthcare services to respond to crises is likely to increase in the future. Information for creating the service may be limited at first and changing. The exact nature of the health threat may be uncertain, as may the demand and needs of subpopulations and individuals. The study findings can help to respond quickly to reduce morbidity illness and death through creating and organizing temporary large-scale public healthcare services when existing services cannot be reorganized to meet the scale of the need.

This article is the first detailed empirical description and analysis of a large-scale temporary healthcare service operated by the primary care division of an integrated public healthcare system, with research informed guidance for future services of this type in similar contexts. This article compares two organization models of T-LSHc services, and contributes to an emerging subdiscipline of the organization and management of disaster and crisis healthcare.

This study proposes strategies for vaccine center allocation for coronavirus disease (COVID) vaccine by determining the number of vaccination stations required for the vaccination drive, location of vaccination station, assignment of demand group to vaccination station, allocation of the scarce medical professional teams to station and number of optimal days a vaccination station to be functional in a week.

The authors propose a mixed-integer nonlinear programming model. However, to handle nonlinearity, the authors devise a heuristic and then propose a two-stage mixed-integer linear programming (MILP) formulation to optimize the allocation of vaccination centers or stations to demand groups in the first stage and the allocation of vaccination centers to cold storage links in the second stage. The first stage optimizes the cost and average distance traveled by people to reach the vaccination center, whereas the second stage optimizes the vaccine’s holding and storage and transportation cost by efficiently allocating cold storage links to the centers.

The model is studied for the real-world case of Chandigarh, India. The results obtained validate that the proposed approach can immensely help government agencies and policymaking body for a successful vaccination drive. The model tries to find a tradeoff between loss due to underutilized medical teams and the distance traveled by a demand group to get the vaccination.

To the best of our knowledge, there are hardly any studies on a vaccination program at such a scale due to sudden outbreaks such as Covid-19.

The usage of sport stadia for public service is increasingly common and may come in different forms. In the COVID-19 pandemic, this included sport entities hosting mass COVID-19 vaccinations at their stadiums. The purpose of this study was to examine the branding effects of a COVID-19 mass vaccination center as communicated by (1) a sport entity (i.e. stadium and its two teams) and (2) the public.

The authors analyzed the entity's social media messages related to the mass vaccination center for the three groups, the stadium and its two sports team tenants (N = 48) while comparing the public's social media content about the vaccination center (N = 187). An empirical material coding analysis was conducted.

The sport entity's posts revealed 12 codes, five categories and two themes communicated about their brand: In this together–community impact and showcasing brand attributes. The public posts analysis revealed 21 codes, eight categories and four themes, creating brand awareness, establishing/reaffirming brand attributes, affective response and in this together–community response.

The identification of the two organization themes and four public themes provided an initial examination of the mass vaccination efforts' impact on the sport entity's brand. With the rise of stadia being utilized as public service venues (e.g. voting centers and disaster shelters), the results of the study can provide guidance to communicating the host team's brand during these times. Results also suggest the public perception of such service reflected positive opportunities for brand exposure and subsequent effects for the teams.

The purpose of this paper is to develop a framework to evaluate and assess the performance of the COVID-19 vaccine distribution process that is sensitive to the unique supply-side and demand-side constraints exhibited in the US vaccine rollout.

A queuing framework that operates under two distinct regimes is formulated to analyze service rates that represent system capacity to vaccinate (under the first regime) and hesitancy-induced throughput (under the second regime). These supply- and hesitancy-constrained regimes form the focus of the present paper, as the former reflects the inherent ability of the nation in its various jurisdictions to mobilize, whereas the latter reflects a critical area for public policy to protect the population’s overall health and safety.

The two-regime framework analysis provides insights into the capacity to vaccinate and hesitancy-constrained demand, which is found to vary across the country primarily by politics and region. The framework also allows analysis of the end-to-end supply chain, where it is found that the ability to vaccinate was likely constrained by last-mile administration issues, rather than the capacity of the manufacturing and transportation steps of the supply chain.

This study presents a new framework to consider end-to-end supply chains as dynamic systems that exhibit different regimes because of unique supply- and demand-side characteristics and estimate rollout capacity and underlying determinants at the national, state and county levels.