scholarly journals Association between county-level social capital and the burden of COVID-19 cases and deaths in the United States

2021 ◽  
Vol 59 ◽  
pp. 21-23
Author(s):  
Mao Yanagisawa ◽  
Ichiro Kawachi ◽  
Christopher A. Scannell ◽  
Carlos Irwin A. Oronce ◽  
Yusuke Tsugawa
2020 ◽  
Vol 47 (3) ◽  
pp. 165-170 ◽  
Author(s):  
Kwame Owusu-Edusei ◽  
Bryttany McClendon-Weary ◽  
Lara Bull ◽  
Thomas L. Gift ◽  
Sevgi O. Aral

2021 ◽  
pp. 003335492097655
Author(s):  
Saloni Dev ◽  
Daniel Kim

From 1999 through 2017, age-adjusted suicide rates in the United States rose by 33% (from 10.5 to 14.0 per 100 000 population). Social capital, a key social determinant of health, could protect against suicide, but empirical evidence on this association is limited. Using multilevel data from the Centers for Disease Control and Prevention, we explored state- and county-level social capital as predictors of age-adjusted suicide rates pooled from 2010 through 2017 across 2112 US counties. In addition, we tested for causal mediation of these associations by state-level prevalence of depression. A 1-standard deviation increase in state-level social capital predicted lower county-level suicide mortality rates almost 2 decades later (0.87 fewer suicides per 100 000 population; P = .04). This association was present among non-Hispanic Black people and among men but not among non-Hispanic White people and women. We also found evidence of partial mediation by prevalence of depression. Our findings suggest that elevating state- and county-level social capital, such as through policy and local initiatives, may help to reverse the trend of rising suicide rates in the United States.


Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5830
Author(s):  
John C. Pierce ◽  
Rachel M. Krause ◽  
Sarah L. Hofmeyer ◽  
Bonnie J. Johnson

Even where physical conditions appear perfectly suited for wind power production, there is significant variation in the number of turbines installed. This pattern suggests that physical conditions are a pre-requisite for, but not a determinant of, that production. This study reports the results of an analysis of the county-level correlates of wind power installations in the north–south corridor of the central United States, which contains much of the country’s greatest land-based wind resources. This study focuses on the relative effects of social capital, global climate change concern, and local biodiversity, while controlling for other potential explanations that previous research has identified as leading to support for or to opposition to turbine installation. We find (1) that greater local biodiversity is associated with fewer turbine installations; (2) that the percent of the public who believe humans are causing climate change is not associated with the number of installed turbines; and (3) that a higher degree of county-level social capital is associated with fewer installations. These findings suggest the predominance of local considerations over global ones when it comes to the actual siting of turbines.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Bingyi Yang ◽  
Angkana T. Huang ◽  
Bernardo Garcia-Carreras ◽  
William E. Hart ◽  
Andrea Staid ◽  
...  

AbstractNon-pharmaceutical interventions (NPIs) remain the only widely available tool for controlling the ongoing SARS-CoV-2 pandemic. We estimated weekly values of the effective basic reproductive number (Reff) using a mechanistic metapopulation model and associated these with county-level characteristics and NPIs in the United States (US). Interventions that included school and leisure activities closure and nursing home visiting bans were all associated with a median Reff below 1 when combined with either stay at home orders (median Reff 0.97, 95% confidence interval (CI) 0.58–1.39) or face masks (median Reff 0.97, 95% CI 0.58–1.39). While direct causal effects of interventions remain unclear, our results suggest that relaxation of some NPIs will need to be counterbalanced by continuation and/or implementation of others.


Author(s):  
Danielle Sass ◽  
Bita Fayaz Farkhad ◽  
Bo Li ◽  
Man-pui Sally Chan ◽  
Dolores Albarracin

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