Salir Adelante: Social capital and resilience during the Covid-19 pandemic in Argentina

Carter, Eric; Cordero, María Laura

doi:10.1016/j.healthplace.2022.102870

Cited by 25 publications

(29 citation statements)

References 25 publications

(40 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These factors include age, education, economic burden and location of residence. Some of these factors, such as IT skills, family members with salaried jobs and family burden, are embedded in the concept of SC while others, although not directly relating to SC, mediated the effects of SC 45…”

Section: Resultsmentioning

confidence: 99%

Role of social capital in response to and recovery from the first wave of COVID-19 in Thailand: a qualitative study

et al. 2023

View full text Add to dashboard Cite

ObjectiveThis study assesses the role of social capital among people and communities in response to the first wave of the pandemic in 2020.DesignQualitative study using focus group discussions.SettingCapital city (Bangkok) and the four regions (north, northeast, south and central) of Thailand.Participants161 participants of 19 focus groups with diverse backgrounds in terms of gender, profession, education and geography (urban/rural; regions). They are selected for different levels of impact from the pandemic.FindingsThe solidarity among the Thai people was a key contributing factor to societal resilience during the pandemic. Findings illustrate how three levels of social capital structure—family, community and local networks—mobilised resources from internal and external social networks to support people affected by the pandemic. The results also highlight different types of resources mobilised from the three levels of social capital, factors that affect resilience, collective action to combat the negative impacts of the pandemic, and the roles of social media and gender.ConclusionSocial capital plays significant roles in the resilience of individuals, households and communities to respond to and recover from the impacts of the pandemic. In many instances, social capital is a faster and more efficient response than other kinds of formal support. Social capital can be enhanced by interactions and exchanges in the communities. While face-to-face social contacts are challenged by the need for social distancing and travel restrictions, social media steps in as alternative socialisation to enhance social capital.

show abstract

Section: Resultsmentioning

confidence: 99%

Role of social capital in response to and recovery from the first wave of COVID-19 in Thailand: a qualitative study

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Religious affiliation decreased the full vaccination rates in southern Texas and eastern North Carolina but increased the vaccination rates in other areas. The positive function of religious affiliation on vaccination rates in this study may be owing to the intention of attending the in-person gathering and religions’ positive impacts on perceptions of community solidarity, and compliance with public health measures (Carter & Cordero, 2022 ).…”

Section: Discussionmentioning

confidence: 90%

“…Religious gathering often involves travel and crowding people at a specific time and location, which may have led to the spread of respiratory disease due to close contact among attendees (Abubakar et al, 2012 ). On the other hand, as an indicator of social capital, religious affiliation was confirmed to have positive outcomes in many dimensions, such as increasing personal resilience, ability to cope with uncertainty, perceptions of community solidarity, and reported compliance with public health measures (Carter & Cordero, 2022 ).…”

Section: Covid-19 Disparities and Driversmentioning

confidence: 99%

Spatial-temporal differences of COVID-19 vaccinations in the U.S.

Huang

Cutter

2022

Urban Info

View full text Add to dashboard Cite

Although the disparities in COVID-19 outcomes have been proved, they have not been explicitly associated with COVID-19 full vaccinations. This paper examines the spatial and temporal patterns of the county-level COVID-19 case rates, fatality rates, and full vaccination rates in the United States from December 24, 2020 through September 30, 2021. Statistical and geospatial analyses show clear temporal and spatial patterns of the progression of COVID-19 outcomes and vaccinations. In the relationship between two time series, the fatality rates series was positively related to past lags of the case rates series. At the same time, case rates series and fatality rates series were negatively related to past lags of the full vaccination rates series. The lag level varies across urban and rural areas. The results of partial correlation, ordinary least squares (OLS) and Geographically Weighted Regression (GWR) also confirmed that the existing COVID-19 infections and different sets of socioeconomic, healthcare access, health conditions, and environmental characteristics were independently associated with COVID-19 vaccinations over time and space. These results empirically identify the geographic health disparities with COVID-19 vaccinations and outcomes and provide the evidentiary basis for targeting pandemic recovery and public health mitigation actions.

show abstract

“…It might be due to the survival effects among members- people were infected and had antibodies from diseases or vaccination; or people passed away and those left were immune and younger [ 80 ]. It may also be owing to the religions’ positive impacts on increasing personal resilience, perceptions of community solidarity, and compliance with public health measures [ 81 ]. Further studies are needed to explore the role of religion on COVID-19 and other infectious disease exposures.…”

Section: Discussionmentioning

confidence: 99%

Age-based spatial disparities of COVID-19 incidence rates in the United States counties

Huang

2023

PLoS ONE

View full text Add to dashboard Cite

COVID-19 incidence disparities have been documented in the literature, but the different driving factors among age groups have yet to be explicitly explained. This study proposes a community-based COVID-19 spatial disparity model, considering different levels of geographic units (individual and community), various contextual variables, multiple COVID-19 outcomes, and different geographic contextual elements. The model assumes the existence of age nonstationarity effects on health determinants, suggesting that health effects of contextual variables vary among place and age groups. Based on this conceptual model and theory, the study selected 62 county-level variables for 1,748 U.S. counties during the pandemic, and created an Adjustable COVID-19 Potential Exposure Index (ACOVIDPEI) using principal component analysis (PCA). The validation was done with 71,521,009 COVID-19 patients in the U.S. from January 2020 through June 2022, with high incidence rates shifting from the Midwest, South Carolina, North Carolina, Arizona, and Tennessee to the West and East coasts. This study corroborates the age nonstationarity effect of health determinants on COVID-19 exposures. These results empirically identify the geographic disparities of COVID-19 incidence rates among age groups and provide the evidentiary guide for targeting pandemic recovery, mitigation, and preparedness in communities.

show abstract

Salir Adelante: Social capital and resilience during the Covid-19 pandemic in Argentina

Cited by 25 publications

References 25 publications

Role of social capital in response to and recovery from the first wave of COVID-19 in Thailand: a qualitative study

Role of social capital in response to and recovery from the first wave of COVID-19 in Thailand: a qualitative study

Spatial-temporal differences of COVID-19 vaccinations in the U.S.

Age-based spatial disparities of COVID-19 incidence rates in the United States counties

Contact Info

Product

Resources

About