Social Capital, Urbanization Level, and COVID-19 Vaccination Uptake in the United States: A National Level Analysis

The impact of social cohesion and risk communication on excess mortality due to COVID-19 in 213 countries: a retrospective analysis

BACKGROUND

Tools for assessing a country's capacity in the face of public health emergencies must be reviewed, as they were not predictive of the COVID-19 pandemic. Social cohesion and risk communication, which are related to trust in government and trust in others, may have influenced adherence to government measures and mortality rates due to COVID-19.

OBJECTIVE

To analyse the association between indicators of social cohesion and risk communication and COVID-19 outcomes in 213 countries.

RESULTS

Social cohesion and risk communication, in their dimensions (public trust in politicians, trust in others, social safety nets, and equal distribution of resources index), were associated with lower excess mortality due to COVID-19. The number of COVID-19-related disorder events and government transparency were associated with higher excess mortality due to COVID-19. The lower the percentage of unemployed people, the higher the excess mortality due to COVID-19. Most of the social cohesion and risk communication variables were associated with better vaccination indicators, except for social capital and engaged society, which had no statistically significant association. The greater the gender equality, the better the vaccination indicators, such as the number of people who received all doses.

CONCLUSION

Public trust in politicians, trust in others, equal distribution of resources and government that cares about the most vulnerable, starting with the implementation of programs, such as cash transfers and combating food insecurity, were factors that reduced the excess mortality due to COVID-19. Countries, especially those with limited resources and marked by social, economic, and health inequalities, must invest in strengthening social cohesion and risk communication, which are robust strategies to better cope with future pandemics.

Association between social capital and utilization of essential public health services among elderly migrants: a multilevel logistic study based on the 2017 China migrant dynamic survey (CMDS)

BACKGROUND

As the number of elderly migrants in China continues to grow, it is necessary to pay closer attention to their health and health services. Some studies have confirmed that social capital plays a significant role in the utilization of health services. Therefore, an in-depth exploration of the relationship between social capital and the utilization of essential public health services (EPHS) by elderly migrants will not only contribute to improving their overall health but also facilitate a more balanced development of public health service system in China.

METHODS

Based on the cross-sectional data from the 2017 China Migrants Dynamic Survey (CMDS), this study examined the impact of social capital on the utilization of EPHS among elderly migrants. We evaluated social capital at two distinct levels: the individual and the community, and considered two dimensions of social capital: structural social capital (SSC) and cognitive social capital (CSC). The study aimed to delve into the impact of these forms of social capital on the utilization of EPHS among elderly migrants, and whether the migration range moderates this impact by multilevel logistic regression analysis.

RESULTS

A total of 5,728 migrant elderly individuals were selected. The health records establishment rate and health education acceptance rate were approximately 33.0% and 58.6%, respectively. Social capital influenceed the utilization of EPHS among elderly migrants. Specifically, individual-level SSC and CSC have impacts on both the establishment of health records (OR = 1.598, 95%CI 1.366-1.869; OR = 1.705, 95%CI 1.433-2.028) and the acceptance of health education (OR = 1.345, 95%CI 1.154-1.567; OR = 2.297, 95%CI 1.906-2.768) among elderly migrants, while community-level SSC only affected the acceptance of health education (OR = 3.838, 95%CI 1.328-11.097). There were significant differences in individual-level SSC, health records, and health education among different migration range subgroups among elderly migrants. Migration range moderated the effect of social capital on the utilization of EPHS, crossing provinces could weaken the relationship between SSC and health education.

CONCLUSIONS

Social capital is associated with a higher utilization rate of EPHS among elderly migrants. It is necessary to encourage them to actively participate in social activities, strengthen public services and infrastructure construction in the area, and improve their sense of belonging and identity.

A population level study on the determinants of COVID-19 vaccination rates at the U.S. county level

Multiple COVID-19 vaccines were proven to be safe and effective in curbing severe illness, but despite vaccine availability, vaccination rates were relatively low in the United States (U.S.). To better understand factors associated with low COVID-19 vaccine uptake in the U.S., our study provides a comprehensive, data-driven population-level statistical analysis at the county level. We find that political affiliation, as determined by the proportion of votes received by the Republican candidate in the 2020 presidential election, has the strongest association with our response variable, the percent of the population that received no COVID-19 vaccine. The next strongest association was median household income, which has a negative association. The percentage of Black people and the average number of vehicles per household are positively associated with the percent unvaccinated. In contrast, COVID-19 infection rate, percentage of Latinx people, postsecondary education percentage, median age, and prior non-COVID-19 childhood vaccination coverage are negatively associated with percent unvaccinated. Unlike previous studies, we do not find significant relationships between cable TV news viewership or Twitter misinformation variables with COVID-19 vaccine uptake. These results shed light on some factors that may impact vaccination choice in the U.S. and can be used to target specific populations for educational outreach and vaccine campaign strategies in efforts to increase vaccination uptake.

Community Cohesion, Social Support, and Mental Health among Black Individuals in Chicago: A Cross-Sectional Examination of the Effects on COVID-19 Vaccination

The COVID-19 pandemic put a significant strain on communities, social resources, and personal relationships, disproportionately impacting Black and low-income communities in the United States. Community cohesion and social support are positively associated with numerous health outcomes and preventive health measures, yet were strained during the pandemic due to COVID mitigation measures. This study examined the relationships between social cohesion, social support, mental health, and COVID-19 vaccination to understand whether community cohesion and social support were associated with increased likelihood of receiving a COVID-19 vaccination. Data are from a cross-sectional survey of 537 Black Chicagoans that was disseminated between September 2021 and March 2022. Structural equation modeling was used to test associations between community cohesion, social support, loneliness, anxiety, stress, and having received a COVID-19 vaccination. Results demonstrated that social support mediated associations between community cohesion and loneliness, anxiety, and stress, but was not associated with COVID-19 vaccination. These results demonstrate the importance of community cohesion and social support on mental health and suggest there are other potential pathways that may link community cohesion and vaccination.

The role of civic capital on vaccination

Can civic-minded individuals fight against a pandemic? In this paper, we show that civic capital plays an important role when assessing the level of compliance with COVID-19 vaccination recommendations. Analyzing data on a large sample of municipalities from the Italian region of Lombardy, we show that the share of vaccinated individuals is significantly higher in municipalities with higher pre-determined levels of civic capital. These findings are robust to the possibility of spatial spillovers across neighboring municipalities. Our findings contribute to the existing evidence highlighting the importance of individual contributions and civic capital as important behavioral determinants affecting the containment of infectious diseases.

Role of perceived social support in COVID-19 vaccine uptake among U.S. adults

Background

Vaccine uptake concerns in the Unites States were at the forefront of public health discussions during the COVID-19 pandemic. By the end of 2022, approximately 80% of the U.S. population was vaccinated against the virus. This study examined the relationship between perceived social support and COVID-19 vaccine uptake among U.S. adults.

Methods

Using nationally representative cross-sectional data on 21,107 adults from the 2021 National Health Interview Survey, we assessed the COVID-19 vaccination rates across individuals with strong, some, and weak levels of social support. Multivariable logistic regression models were estimated to obtain the odds of being vaccinated in adults with different levels of perceived social support for the full sample and sub-samples of age groups.

Results

We found that compared to adults with perceived strong social support, adults with weak social support were 21.1% less likely to be vaccinated against COVID-19. Apart from the age 18-24 years group, the lower likelihood of being vaccinated for adults with weak social support was evident in age 24-49 years (AOR=0.66, 95% CI: 0.52-0.85), age 50-64 years (AOR=0.67, 95% CI: 0.50-0.90), and age 65+ years (AOR=0.56, 95% CI: 0.41-0.75) groups.

Conclusions

These findings are consistent with a broader literature indicating that social support increases the likelihood of healthy behaviors and decreases risky behaviors. Interventions designed to improve the perception of social support, particularly among those at high risk of mortality from COVID-19 may be a promising tactic for increasing COVID-19 vaccine uptake.

Moderation effect of community health on the relationship between racial/ethnic residential segregation and HIV viral suppression in South Carolina: A county-level longitudinal study from 2013 to 2018

Background

Viral suppression is the ultimate goal of the HIV treatment cascade and a primary endpoint of antiretroviral therapy. Empirical evidence found racial/ethnic disparities in viral suppression among people living with HIV (PWH), but the evidence of the relationship between racial/ethnic residential segregation and place-based viral suppression is scarce. Further exploring potential structural moderators in this relationship has substantial implications for healthcare policymaking and resource allocation. The current study aimed to investigate the spatial-temporal disparities in the HIV viral suppression rate across 46 counties in South Carolina from 2013 to 2018. We also examined the impact of racial/ethnic residential segregation and the moderation effect of community health, one measurement of community engagement and volunteerism.

Methods

The proportion of PWH who achieved viral suppression for each county and calendar year was calculated using de-identified electronic medical records. The isolation index was calculated and used to measure racial/ethnic residential segregation. The community health index and other county-level factors were directly extracted from multiple publicly available datasets. We used geospatial mapping to explore the spatial-temporal variations of HIV viral suppression rates. Hierarchical quasi-binominal regression models were used to examine the impacts of racial/ethnic residential segregation on county-level viral suppression rate by the extent of community health.

Results

From 2013 to 2018, the average viral suppression rate across 46 counties in SC increased from 64.3% to 65.4%. Regression results revealed that counties with high racial/ethnic residential segregation were more likely to have a low viral suppression rate (β = -0.56, 95% CI: -0.75 to -0.37). In counties with high levels of community health, the impact of racial/ethnic residential segregation on viral suppression rate decreased as compared with those with low levels of community health (β = 5.50, 95% CI: 0.95-10.05).

Conclusions

Racial/ethnic residential segregation acts as a structural barrier to placed-based viral suppression rates and compromises the goal of the HIV treatment cascade. Concentrated and sustained county-level interventions aiming to improve community health can be practical approaches to promote health equity in HIV treatment and care.

Covid-19: did higher trust societies fare better?

Social trust-between governments and people and between individuals-and trust in science were proposed as prerequisites for tackling covid. Others suggested less democratic societies were more able to impose strict rules stopping the virus. These propositions were tested for a group of mainly advanced countries. The dependent variable is cumulated deaths from covid. Findings are broken down between (a) OECD member countries, (b) these and countries having cooperation agreements with it, and (c) all these plus China. They are also broken down by time-between (a) the period before the appearance of "new variants" in late 2020 and (b) the period from then until end September 2021. The best, most parsimonious, models explain nearly half of the changes in the level of deaths. Trust in government improves outcomes, as does interpersonal trust. Vaccine antipathy does not play a role. Also, there is little indication that authoritarian regimes performed better than higher trust societies. In the first period, increasing wealth inequality-indicating a more divided society-is related to higher death rates. Hospital bed availability is important then, but not thereafter. Furthermore, as the pandemic persisted, the importance of pre-existing levels of social trust declined. The paper warns that institutions and cultures cannot easily be transferred from one country to another. Nor would all transfers be desired. It also suggests that some other lessons of what contributed to better outcomes under covid might be relevant for the monkeypox virus-its successor public health emergency.

The Measurement of Social Capital in America: A Reassessment

One of the more successful approaches to the measurement of social capital across US counties relies on a two-step algorithm procedure. In the first step, ten variables accounting for the per capita number of various types of voluntary organizations are averaged to generate an Aggregate Index. In the second step, the Aggregate Index and three other factors are used to extract an overall Social Capital Index. Here, we propose several methodological improvements to this already solid methodology. We replace the Aggregate Index calculated as a simple average with a measure generated with principal component analysis, and subsequently with a formative partial least squares dimension-reduction procedure. We explore variations of these procedures, according to the rent-seeking nature of the organizations that make up our groupings. We illustrate our methodology by using US county data. We find that, even when holding the normative concept and the data constant we generate alternative metrics with different characteristics. This result has far-reaching implications for both the theory of social capital and the public policies that rely on the evidence surrounding social capital. There appears to be an inherent arbitrariness to measuring complex social phenomena using a reductionist analytical framework. At the same time, there are limits to evidence-based policy interventions. These limits need to be mitigated with a balanced approach relying on both analytical tools and qualitative evaluations.

Global Implications for COVID-19 Vaccine Series Completion: Insights from Real-World Data from the United States

This retrospective cohort analysis leveraged vaccination data for BNT162b2, mRNA-1273, and Ad26.COV2.S in the United States from the Komodo Healthcare Map database, the TriNetX Dataworks USA Network, and Cerner Real-World EHR (electronic health record) Data to evaluate rates of adherence to and completion of COVID-19 vaccination series (November 2020 through June 2021). Individuals were indexed on the date they received the first dose of a COVID-19 vaccine, with an adherence follow-up window of 42 days. Adherence/completion rates were calculated in the overall cohort of each database and by month of initiation and stratified by age, race/ethnicity, and urban/rural status. Overall adherence and completion to 2-dose COVID-19 mRNA vaccine schedules ranged from 79.4% to 87.4% and 81.0% to 89.2%, respectively. In TriNetX and Cerner, mRNA-1273 recipients were generally less adherent compared with BNT162b2 across sociodemographic groups. In Komodo, rates of adherence/completion between mRNA-1273 and BNT162b2 were similar. Adherence/completion were generally lower in younger (<65 years) versus older recipients (≥65 years), particularly for mRNA-1273. No other sociodemographic-based gaps in vaccine adherence/completion were identified. These data demonstrate high but incomplete adherence to/completion of multidose COVID-19 vaccines during initial vaccine rollout in the United States. Multidose schedules may contribute to challenges associated with successful global vaccination.

Individual-level social capital and COVID-19 vaccine hesitancy in Japan: a cross-sectional study

To reduce vaccine hesitancy, it is important to identify factors that can intervene at the individual or community level. Social capital is a possible factor because it is associated with various vaccine hesitancy, such as for measles and influenza. However, limited studies have explored the association between social capital and vaccination for COVID-19, which is an unprecedented pandemic and infodemic. Therefore, this study aimed to clarify the association between social capital and COVID-19 vaccination during the pandemic. This cross-sectional study used quota sampling for an online-based survey. Participants were asked whether they had previously been vaccinated for COVID-19 and their intention to receive a COVID-19 vaccine booster. Social capital was evaluated using three measures (individual-level civic participation, social cohesion, and reciprocity). Multiple logistic regression analysis was performed to clarify the association between social capital and previous COVID-19 vaccination status as well as intention to receive a COVID-19 booster. Participants were 2,313 individuals, of whom 87.2% had received a COVID-19 vaccine; 72.3% intended to obtain a COVID-19 booster. Individuals with any social capital are more likely to receive a COVID-19 vaccination than those with none (OR: 1.73, 95%CI: 1.18-2.54; OR: 1.58, 95%CI: 1.22-2.05; OR: 3.05, 95%CI: 2.15-4.33). These indicators were also associated with the intention to receive a COVID-19 booster. Thus, our results suggest that among the general public, those with individual-level social capital are more likely to receive a COVID-19 vaccination than those with none. Social capital may be a factor that can reduce vaccine hesitancy during a pandemic.