Geographic Heterogeneity in Behavioral and Social Drivers of COVID-19 Vaccination

Newness, unfamiliarity, and cultural beliefs; social and behavioural barriers to COVID-19 vaccination among the Dumagat Remontado, an Indigenous population in the Philippines

Indigenous Peoples faced unique challenges that contributed to vaccine hesitancy, including limited healthcare access, mistrust of medical institutions, and adherence to traditional practices. While vaccination played a critical role in improving public health, Indigenous communities often remained underserved and sceptical about its benefits, particularly in the context of COVID-19. Thus, this study aimed to explore the perceptions and experiences of the Dumagat Remontado, an Indigenous Peoples in the Philippines, on COVID-19 vaccination. Through their narratives, the study aimed to identify the factors that affect their intention to get vaccinated and uptake of the COVID-19 vaccine. A qualitative research design was employed, with in-depth interviews conducted with 18 respondents in Rizal, Philippines in January 2023 and the Framework Approach used for data analysis. Findings were presented within the World Health Organization's Behavioural and Social Drivers (BeSD) framework for vaccination. Key factors influencing vaccine intention included government policies, social norms, perceived disease severity, susceptibility, and vaccine benefits and risks. Health experts and vaccinated individuals were identified as the most favoured sources of vaccine information. Accessibility of services, healthcare worker demeanour, and information availability surfaced as practical issues which hindered vaccine uptake. The study underscored the importance of involving the Dumagat Remontado in conceptualising and implementing vaccination programmes, as well as utilising vaccine champions, real-life narratives, and the local language in information dissemination. These contributions emphasised the need for inclusive public health strategies to address vaccine hesitancy among Indigenous Peoples, ultimately promoting equitable access to healthcare and improving vaccination rates.

The evolution of vaccine hesitancy through the COVID-19 pandemic: A semi-structured interview study on booster and bivalent doses

We sought in-depth understanding on the evolution of factors influencing COVID-19 booster dose and bivalent vaccine hesitancy in a longitudinal semi-structured interview-based qualitative study. Serial interviews were conducted between July 25th and September 1st, 2022 (Phase I: univalent booster dose availability), and between November 21st, 2022 and January 11th, 2023 (Phase II: bivalent vaccine availability). Adults (≥18 years) in Canada who had received an initial primary series and had not received a COVID-19 booster dose were eligible for Phase I, and subsequently invited to participate in Phase II. Twenty-two of twenty-three (96%) participants completed interviews for both phases (45 interviews). Nearly half of participants identified as a woman (n = 11), the median age was 37 years (interquartile range: 32-48), and most participants were employed full-time (n = 12); no participant reported needing to vaccinate (with a primary series) for their workplace. No participant reported having received a COVID-19 booster dose at the time of their interview in Phase II. Three themes relating to the development of hesitancy toward continued vaccination against COVID-19 were identified: 1) effectiveness (frequency concerns; infection despite vaccination); 2) necessity (less threatening, low urgency, alternate protective measures); and 3) information (need for data, contradiction and confusion, lack of trust, decreased motivation). The data from interviews with individuals who had not received a COVID-19 booster dose or bivalent vaccine despite having received a primary series of COVID-19 vaccines highlights actionable targets to address vaccine hesitancy and improve public health literacy.

Nonstructural barriers to adult vaccination

Adult vaccination coverage remains low, despite vaccine recommendations, improved access, and reimbursement. Low vaccination coverage and an aging population at higher risk from vaccine-preventable diseases lead to preventable disability and deaths, straining healthcare systems. An Advisory Board meeting was, therefore, held to identify non-structural barriers to adult vaccination and discuss potential solutions to increase uptake. Many non-structural factors can influence vaccine uptake, such as heterogeneity in the population, (fear of) vaccine shortages, incentives, or mandates for vaccination, understanding of disease burden and personal risks, time and opportunity for healthcare providers (HCPs) to discuss and deliver vaccines during general practice or hospital visits, trust in the health system, and education. To address these barriers, push-pull mechanisms are required: to pull patients in for vaccination and to push HCP performance on vaccination delivery. For patients, the focus should be on lifelong prevention and quality of life benefits: personal conversations are needed to increase confidence and knowledge about vaccination, and credible communication is required to build trust in health services and normalize vaccination. For providers, quality measurements are required to prioritize vaccination and ensure opportunities to check vaccination status, discuss and deliver vaccines are not missed. Financial and quality-based incentives may help increase uptake.

Behavioral and social predictors of COVID-19 vaccine uptake among persons with disabilities in Kenya

Access and uptake of COVID-19 vaccine by persons with disabilities remains largely unknown in low-and middle-income countries, despite the unique barriers they face, their special vulnerabilities and higher risk to severe outcomes. We aimed to identify behavioral and social predictors of COVID-19 uptake among persons with disability in Kenya. A convergent parallel mixed method study design was conducted among 792 persons with disability in four regions (counties) in Kenya. Purposive sampling was used to identify the respondents from the National Council for Persons with Disabilities Registration database. Quantitative data were analyzed using STATA statistical analysis software (version 14). Chi-square (X 2) and Fisher's exact tests were used to test for differences in categorical variables; and multivariate regression analysis done to ascertain the factors that influence the uptake of COVID-19 among persons with disabilities in Kenya. Qualitative data from 7 Focus Group Discussions and 4 Key Informant Interviews were transcribed and themes developed using the Behavioral and Social Drivers of vaccination framework by the World Health Organization. Approximately 59% of persons with disabilities reported to be fully vaccinated with significant disparities noted among those with cognition (34.2%) and self-care (36.6%) impairments. Key predictors of vaccine uptake included confidence in vaccine benefits (Odds ratio [OR]; 11.3, 95% CI[5.2-24.2]), health worker recommendation (OR; 2.6 [1.8-3.7]), employment (OR; 2.1 [1.4-3.1]), perceived risk (OR; 2.0 [1.3-3.1]), age 18-24 years (OR; 0.18 [0.09-0.36]), and rural area of residence (OR; 0.48 [0.29-0.79]). The primary reasons for low uptake included perceived negative vaccine effects and lack of adequate information. Qualitative findings revealed unique motivations for vaccination among persons with disabilities (PWDs), including safeguarding against risks from assistive devices and the influence of political leaders. Barriers included perceived vaccine effects, transportation challenges, and limited access to trusted information, highlighting the need for targeted sensitization, improved healthcare worker engagement, and collaboration with PWD organizations. Subsequent vaccination deployments should map and reach people in all disability domains through relevant institutions of PWDs and localized vaccination campaigns. Related communication strategies should leverage the credibility and trust in health workers and behavior change techniques that inspire confidence in vaccines to improve vaccine uptake.

Drivers of COVID-19 Vaccination among Eligible Adults in Abuja, Nigeria: A Mixed-Methods Study Using the WHO Behavioral and Social Drivers of Vaccination Framework

Despite the availability of COVID-19 vaccines, Nigeria still faces significant COVID-19 vaccine hesitancy, with only 60.7% of the eligible population fully vaccinated as of 20 March 2023. Our study, part of a community-based effort to improve knowledge and uptake of the COVID-19 vaccine in the Gwagwalada Area Council of Abuja, the Federal Capital Territory (FCT) of Nigeria, utilized the WHO's Behavioral and Social Drivers (BeSDs)-of-vaccination framework to examine the drivers of COVID-19 vaccination among eligible adults. This was a mixed-method study with focus group discussions (FGDs) and in-depth interviews (IDIs) involving 40 purposively sampled participants. We triangulate qualitative findings with data from a household survey of 1512 eligible adults identified using a two-stage systematic cluster sampling approach. All data were collected from the 1-18 November 2022. The household survey showed 46% COVID-19 vaccine uptake, with Pearson chi-square and Fisher's exact test showing significant associations between vaccine uptake and gender, religion, and education. Multivariate logistic regression showed that confidence in vaccine safety, knowing vaccination sites and family/friends' endorsement of COVID-19 vaccination were the strongest items associated with vaccine uptake in the thinking-and-feeling, practical-issue, and social-process domains, respectively. Multiple items measuring these domains aligned with BeSD priority question, demonstrating the robustness of the pared-down framework. Qualitative data corroborated these findings. To address vaccine hesitancy and increase uptake, community-driven approaches to improve trust in vaccine safety and benefits and promote positive vaccination norms are needed. In addition, service delivery strategies to make vaccination services easily accessible and identifiable should be developed and tailored to community needs.

Strengthening COVID-19 vaccine confidence & demand during the US COVID-19 emergency response

In October 2020, the CDC's Vaccinate with Confidence strategy specific to COVID-19 vaccines rollout was published. Adapted from an existing vaccine confidence framework for childhood immunization, the Vaccinate with Confidence strategy for COVID-19 aimed to improve vaccine confidence, demand, and uptake of COVID-19 vaccines in the US. The objectives for COVID-19 were to 1. build trust, 2. empower healthcare personnel, and 3. engage communities and individuals. This strategy was implemented through a dedicated unit, the Vaccine Confidence and Demand (VCD) team, which collected behavioral insights; developed and disseminated toolkits and best practices in collaboration with partners; and collaborated with health departments and community-based organizations to engage communities and individuals in behavioral interventions to strengthen vaccine demand and increase COVID-19 vaccine uptake. The VCD team collected and used social and behavioral data through establishing the Insights Unit, implementing rapid community assessments, and conducting national surveys. To strengthen capacity at state and local levels, the VCD utilized "Bootcamps," a rapid training of trainers on vaccine confidence and demand, "Confidence Consults", where local leaders could request tailored advice to address local vaccine confidence challenges from subject matter experts, and utilized surge staffing to embed "Vaccine Demand Strategists" in state and local public health agencies. In addition, collaborations with Prevention Research Centers, the Institute of Museum and Library Services, and the American Psychological Association furthered work in behavioral science, community engagement, and health equity. The VCD team operationalized CDC's COVID-19 Vaccine with Confidence strategy through behavioral insights, capacity building opportunities, and collaborations to improve COVID-19 vaccine confidence, demand, and uptake in the US. The inclusion of applied behavioral science approaches were a critical component of the COVID-19 vaccination program and provides lessons learned for how behavioral science can be integrated in future emergency responses.

Overcoming Health Inequities: Spatial Analysis of Seroprevalence and Vaccination Against COVID-19 in Chile

Background

In unequal economies, the spread of the first waves of the COVID-19 was usually associated with low socioeconomic status of individuals and their families. Chile exemplified this. By mid-2020, Chile had one of the highest SARS-CoV-2 infection rates in the world predominantly in poorer areas. A year later, the country launched a universal vaccination campaign based on the national strategy of immunization established in 1975. By 2022, Chile presented one of the highest COVID-19 vaccination coverages globally, reaching 94.3% of the population with the primary scheme by the end of 2022.

Objective

This study analyzes the spatial distribution of SARS-CoV-2 seroprevalence at the beginning of the pandemic (2020) compared with the seroprevalence after 2 years of ongoing epidemic and COVID-19 vaccination campaigns (2022).

Methods

Two population-based random samples of individuals aged 7 years and older from two Chilean cities were studied. Utilizing an enzyme-linked immunosorbent assay test, IgG antibodies were measured in serum of 1061 participants in 2020, and 853 in 2022.

Results

Using the Global Moran's Index, the seroprevalence distribution pattern for the year 2020 showed clustering in the two cities. Conversely, seroprevalence and vaccinations were homogeneously distributed in 2022. These results show the success of the vaccination campaign in Chile, not only in coverage but also because it widely reached all individuals.

Conclusions

The uptake of this preventive measure is high, regardless of the social and economic factors, achieving broad population immunity. The extensive deployment of the primary health care network contributed to reducing health inequities and promoting to universal health access.

The geography of COVID-19 vaccine completion by age in North Carolina, U.S

BACKGROUND

Geographic variation in COVID-19 vaccination can create areas at higher risk of infection, complications, and death, exacerbating health inequalities. This ecological study examined geographic patterns of COVID-19 vaccine completion, using age and sociodemographic characteristics as possible explanatory mechanisms.

METHODS AND FINDINGS

Using 2020-2022 data from the North Carolina COVID-19 Vaccination Management System and U.S. Census Bureau American Community Survey, at the Zip code-level, we evaluated completion of the primary COVID-19 vaccine series across age groups. We examined geographic clustering of age-specific completion by Zip code and evaluated similarity of the age-specific geographic patterns. Using unadjusted and adjusted spatial autoregressive models, we examined associations between sociodemographic characteristics and age-specific vaccine completion. COVID-19 vaccine completion was moderately geographically clustered in younger groups, with lower clustering in older groups. Urban areas had clusters of higher vaccine completion. Younger and middle-aged groups were the most similar in completion geographically, while the oldest group was most dissimilar to other age groups. Higher income was associated with higher completion in adjusted models across all age groups, while a higher percent of Black residents was associated with higher completion for some groups.

CONCLUSIONS

COVID-19 vaccination completion is more variable among younger age groups in North Carolina, and it is higher in urban areas with higher income. Higher completion in areas with more Black residents may reflect the success of racial equity efforts in the state. The findings show a need to reach younger populations and lower income areas that were not prioritized during early vaccination distribution.

The Influence of Altitude, Urbanization, and Local Vaccination Centers on Vaccine Uptake within an Italian Health District: An Analysis of 15,000 Individuals Eligible for Vaccination

In Italy, free vaccinations for Herpes Zoster (HZ), pneumococcal (PCV), and influenza (FLU) are recommended each year for individuals turning 65. Despite this, achieving optimal vaccination coverage remains challenging. This study assesses coverage rates for HZ, PCV, and FLU in Forlì, Northern Italy, and examines how altitude, urban planning, and health organization variables (such as the presence of a vaccination center) impact vaccine uptake. Vaccination coverages were calculated for birth cohorts between 1952 and 1958 for each municipality in the Forlì area as of 1 March 2024. The geographical factors influencing the vaccination uptake were extracted from the Italian National Institute of Statistics (ISTAT) records and evaluated through a multivariate analysis. The sample analyzed included 15,272 vaccine campaign targets from Forlì's province (185,525 citizens); the vaccine uptake rates for HZ, PCV, and FLU were 26.9%, 36.7%, and 43.5%, respectively. Gender did not appear to influence vaccine uptake. Living in a flat area appeared to increase vaccine uptake in a statistically significant way for all the vaccinations when compared to a mountainous area (HZ: OR: 1.50, PCV: OR: 1.33, FLU: OR: 1.67). The presence of a vaccine service in low-urbanized areas was shown to increase vaccine uptake for all vaccinations (HZ: OR: 1.65, PCV: OR: 1.93, FLU: OR: 1.53) compared with low-urbanized areas without a vaccination center or more urbanized areas with a vaccination center. This study emphasizes the significance of the territorial context, along with the ease of access to vaccinations and geographic barriers, as key determinants in achieving vaccination targets. Local health authorities should consider these factors when implementing vaccination campaigns.

Behavioral and social drivers of COVID-19 vaccination initiation in the US: a longitudinal study March─ October 2021

Many studies have examined behavioral and social drivers of COVID-19 vaccination initiation, but few have examined these drivers longitudinally. We sought to identify the drivers of COVID-19 vaccination initiation using the Behavioral and Social Drivers of Vaccination (BeSD) Framework. Participants were a nationally-representative sample of 1,563 US adults who had not received a COVID-19 vaccine by baseline. Participants took surveys online at baseline (spring 2021) and follow-up (fall 2021). The surveys assessed variables from BeSD Framework domains (i.e., thinking and feeling, social processes, and practical issues), COVID-19 vaccination initiation, and demographics at baseline and follow-up. Between baseline and follow-up, 65% of respondents reported initiating COVID-19 vaccination. Vaccination intent increased from baseline to follow-up (p < .01). Higher vaccine confidence, more positive social norms towards vaccination, and receiving vaccine recommendations at baseline predicted subsequent COVID-19 vaccine initiation (all p < .01). Among factors assessed at follow-up, social responsibility and vaccine requirements had the greatest associations with vaccine initiation (all p < .01). Baseline vaccine confidence, social norms, and vaccination recommendations were associated with subsequent vaccine initiation, all of which could be useful targets for behavioral interventions. Furthermore, interventions that highlight social responsibility to vaccinate or promote vaccination requirements could also be beneficial.

Spatiotemporal Dynamics of COVID-19 Pandemic City Lockdown: Insights From Nighttime Light Remote Sensing

The global COVID-19 outbreak severely hampered the growth of the global economy, prompting the implementation of the strictest prevention policies in China. Establishing a significant relationship between changes in nighttime light and COVID-19 lockdowns from a geospatial perspective is essential. In light of nighttime light remote sensing, we evaluated the spatiotemporal dynamic effects of COVID-19 city lockdowns on human activity intensity in the Zhengzhou region. Prior to the COVID-19 outbreak, nighttime light in the Zhengzhou region maintained a significant growth trend, even under regular control measures. However, following the October 2022 COVID-19 lockdown, nighttime light experienced a substantial decrease. In the central area of Zhengzhou, nighttime light decreased by at least 18% compared to pre-lockdown levels, while in the sub-center, the decrease was around 14%. The areas where nighttime light decreased the most in the central region were primarily within a 15 km radius, while in the sub-center, the decrease was concentrated within a 5 km radius. These changes in both statistical data and nighttime light underscored the significant impact of the COVID-19 lockdown on economic activities in the Zhengzhou region.

Modeling impact of vaccination on COVID-19 dynamics in St. Louis

The region of St. Louis, Missouri, has displayed a high level of heterogeneity in COVID-19 cases, hospitalization, and vaccination coverage. We investigate how human mobility, vaccination, and time-varying transmission rates influenced SARS-CoV-2 transmission in five counties in the St. Louis area. A COVID-19 model with a system of ordinary differential equations was developed to illustrate the dynamics with a fully vaccinated class. Using the weekly number of vaccinations, cases, and hospitalization data from five counties in the greater St. Louis area in 2021, parameter estimation for the model was completed. The transmission coefficients for each county changed four times in that year to fit the model and the changing behaviour. We predicted the changes in disease spread under scenarios with increased vaccination coverage. SafeGraph local movement data were used to connect the forces of infection across various counties.

Current Trends in Mortality Attributable to Racial or Ethnic Disparities in Post-Surgical Population in The United States: A Population-Based Study

Background

No study has contextualized the excess mortality attributable to racial and ethnic disparities in surgical outcomes. Further, not much effort has been made to quantify the effort needed to eliminate these disparities.

Objective

We examined the current trends in mortality attributable to racial or ethnic disparities in the US postsurgical population. We then identified the target for mortality reduction that would be necessary to eliminate these disparities by 2030.

Methods

We performed a population-based study of 1,512,974 high-risk surgical procedures among adults (18-64 years) performed across US hospitals between 2000 and 2020.

Results

Between 2000 and 2020, the risk-adjusted mortality rates declined for all groups. Nonetheless, Black patients were more likely to die following surgery (adjusted relative risk 1.42; 95% CI, 1.39-1.46) driven by higher Black mortality in the northeast (1.60; 95% CI, 1.52-1.68), as well as the West (1.53; 95% CI, 1.43-1.62). Similarly, mortality risk remained consistently higher for Hispanics compared with White patients (1.21; 95% CI, 1.19-1.24), driven by higher mortality in the West (1.26; 95% CI, 1.21-1.31). Overall, 8364 fewer deaths are required for Black patients to experience mortality on the same scale as White patients. Similar figures for Hispanic patients are 4388. To eliminate the disparity between Black and White patients by 2030, we need a 2.7% annualized reduction in the projected mortality among Black patients. For Hispanics, the annualized reduction needed is 0.8%.

Conclusions

Our data provides a framework for incorporating population and health systems measures for eliminating disparity in surgical mortality within the next decade.

Correlates of COVID-19 vaccine coverage in Arkansas: Results from a weighted random sample survey

We assessed COVID-19 vaccination (≥1 dose) status as influenced by sociodemographic factors (i.e., age, gender, race/ethnicity, education, income, and parent or guardian status), healthcare provider recommendation, and personal vaccine hesitancy among Arkansas residents in October 2022. We asked: did the likelihood of vaccination differ across sociodemographic groups of Arkansas during this period of the pandemic? Is COVID-19 vaccination associated with recommendations from healthcare providers and/or COVID-19 vaccine hesitancy? We analyzed data from a random sample survey of adults in Arkansas (N = 2,201). Three in four adults self-reported vaccination against COVID-19 in October 2022. We found both positive and negative association between COVID-19 vaccination and age, gender, race/ethnicity, education, income, healthcare provider recommendation, and vaccine hesitancy. We highlight racial differences in COVID-19 coverage and the higher odds of COVID-19 vaccination among Black adults compared to White adults in particular, which has broad implications for the study of vaccine coverage and hesitancy. We also discuss implications of our findings regarding healthcare provider recommendations to be vaccinated against COVID-19.

Reaching late adopters: factors influencing COVID-19 vaccination of Marshallese and Hispanic adults

BACKGROUND

Marshallese and Hispanic communities in the United States have been disproportionately affected by COVID-19. Identifying strategies to reach late vaccine adopters is critical for ongoing and future vaccination efforts. We utilized a community-engaged approach that leveraged an existing community-based participatory research collaborative of an academic healthcare organization and Marshallese and Hispanic faith-based organizations (FBO) to host vaccination events.

METHODS

Bilingual Marshallese and Hispanic study staff conducted informal interviews with 55 participants during the 15-minute post-vaccination observation period and formal semi-structured interviews with Marshallese (n = 5) and Hispanic (n = 4) adults post-event to assess the implementation of community vaccine events at FBOs, with a focus on factors associated with the decision to attend and be vaccinated. Formal interview transcripts were analyzed using thematic template coding categorized with the socio-ecological model (SEM). Informal interview notes were coded via rapid content analysis and used for data triangulation.

RESULTS

Participants discussed similar factors influencing attitudes and behaviors toward receiving the COVID-19 vaccine. Themes included: (1) intrapersonal - myths and misconceptions, (2) interpersonal - protecting family and family decision-making, (3) community - trust of community location of events and influence of FBO members and leaders, (4) institutional - trust in a healthcare organization and bilingual staff, and (5) policy. Participants noted the advantages of vaccination delivery at FBOs, contributing to their decision to attend and get vaccinated.

CONCLUSIONS

The following strategies may improve vaccine-related attitudes and behaviors of Marshallese and Hispanic communities not only for the COVID-19 vaccine but also for other preventive vaccinations: 1) interpersonal-level - develop culturally-focused vaccine campaigns targeting the family units, 2) community-level - host vaccination events at convenient and/or trusted locations, such as FBOs, and engage community and/or FBO formal or lay leaders as vaccine ambassadors or champions, and 3) institutional-level - foster trust and a long-term relationship with the healthcare organization and provide bilingual staff at vaccination events. Future research would be beneficial to investigate the effects of replicating these strategies to support vaccine uptake among Marshallese and Hispanic communities.

Behavioral and Social Drivers of COVID-19 Vaccination in the United States, August-November 2021

INTRODUCTION

COVID-19 vaccines are safe, effective, and widely available, but many adults in the U.S. have not been vaccinated for COVID-19. This study examined the associations between behavioral and social drivers of vaccination with COVID-19 vaccine uptake in the U.S. adults and their prevalence by region.

METHODS

A nationally representative sample of U.S. adults participated in a cross-sectional telephone survey in August-November 2021; the analysis was conducted in January 2022. Survey questions assessed self-reported COVID-19 vaccine initiation, demographics, and behavioral and social drivers of vaccination.

RESULTS

Among the 255,763 respondents, 76% received their first dose of COVID-19 vaccine. Vaccine uptake was higher among respondents aged ≥75 years (94%), females (78%), and Asian non-Hispanic people (94%). The drivers of vaccination most strongly associated with uptake included higher anticipated regret from nonvaccination, risk perception, and confidence in vaccine safety and importance, followed by work- or school-related vaccination requirements, social norms, and provider recommendation (all p<0.05). The direction of association with uptake varied by reported level of difficulty in accessing vaccines. The prevalence of all of these behavioral and social drivers of vaccination was highest in the Northeast region and lowest in the Midwest and South.

CONCLUSIONS

This nationally representative survey found that COVID-19 vaccine uptake was most strongly associated with greater anticipated regret, risk perception, and confidence in vaccine safety and importance, followed by vaccination requirements and social norms. Interventions that leverage these social and behavioral drivers of vaccination have the potential to increase COVID-19 vaccine uptake and could be considered for other vaccine introductions.

A Scoping Review of Three Dimensions for Long-Term COVID-19 Vaccination Models: Hybrid Immunity, Individual Drivers of Vaccinal Choice, and Human Errors

The virus that causes COVID-19 changes over time, occasionally leading to Variants of Interest (VOIs) and Variants of Concern (VOCs) that can behave differently with respect to detection kits, treatments, or vaccines. For instance, two vaccination doses were 61% effective against the BA.1 predominant variant, but only 24% effective when BA.2 became predominant. While doses still confer protection against severe disease outcomes, the BA.5 variant demonstrates the possibility that individuals who have received a few doses built for previous variants can still be infected with newer variants. As previous vaccines become less effective, new ones will be released to target specific variants and the whole process of vaccinating the population will restart. While previous models have detailed logistical aspects and disease progression, there are three additional key elements to model COVID-19 vaccination coverage in the long term. First, the willingness of the population to participate in regular vaccination campaigns is essential for long-term effective COVID-19 vaccination coverage. Previous research has shown that several categories of variables drive vaccination status: sociodemographic, health-related, psychological, and information-related constructs. However, the inclusion of these categories in future models raises questions about the identification of specific factors (e.g., which sociodemographic aspects?) and their operationalization (e.g., how to initialize agents with a plausible combination of factors?). While previous models separately accounted for natural- and vaccine-induced immunity, the reality is that a significant fraction of individuals will be both vaccinated and infected over the coming years. Modeling the decay in immunity with respect to new VOCs will thus need to account for hybrid immunity. Finally, models rarely assume that individuals make mistakes, even though this over-reliance on perfectly rational individuals can miss essential dynamics. Using the U.S. as a guiding example, our scoping review summarizes these aspects (vaccinal choice, immunity, and errors) through ten recommendations to support the modeling community in developing long-term COVID-19 vaccination models.