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1. Examining the Left‐Right Divide Through the Lens of a Global Crisis: Ideological Differences and Their Implications for Responses to the COVID‐19 Pandemic

   https://doi.org/10.1111/pops.12740  

   Ruisch, Benjamin Coe ; Moore, Courtney ; Granados Samayoa, Javier ; Boggs, Shelby ; Ladanyi, Jesse ; Fazio, Russell ( May 2021 , Political Psychology)

   The COVID‐19 disease pandemic is one of the most pressing global health issues of our time. Nevertheless, responses to the pandemic exhibit a stark ideological divide, with political conservatives (versus liberals/progressives) expressing less concern about the virus and less behavioral compliance with efforts to combat it. Drawing from decades of research on the psychological underpinnings of ideology, in four studies (totalN = 4441) we examine the factors that contribute to the ideological gap in pandemic response—across domains including personality (e.g., empathic concern), attitudes (e.g., trust in science), information (e.g., COVID‐19 knowledge), vulnerability (e.g., preexisting medical conditions), demographics (e.g., education, income) and environment (e.g., local COVID‐19 infection rates). This work provides insight into the most proximal drivers of this ideological divide and also helps fill a long‐standing theoretical and empirical gap regarding how these various ideological differences shape responses to complex real‐world sociopolitical events. Among our key findings are the central role of attitude‐ and belief‐related factors (e.g., trust in science and trust in Trump)—and the relatively weaker influence of several domain‐general personality factors (empathic concern, disgust sensitivity, conspiratorial ideation). We conclude by considering possible explanations for these findings and their broader implications for our understanding of political ideology.

   Stark ideological differences exist across a wide range of attitudinal and behavioral indices of pandemic response, with more conservative individuals reliably exhibiting less concern about the virus. These findings illustrate the extent to which the pandemic has become politicized.

   A range of factors contribute to this ideological gap in pandemic response, but some are substantially more important than others.

   Several factors that have received attention in public and academic discourse about the pandemic appear to contribute little, if at all, to the ideological divide. These include news following, scientific literacy, perceived social norms, and knowledge about the virus.

   The most critical factors appear to be trust in scientists and trust in Trump, which further highlights the politicization of COVID‐19 and, importantly, the antagonistic nature of these two beliefs. Efforts to change and, especially, disentangle these two attitudes have the potential to be effective interventions.

    

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2. Does State Tightness-Looseness Predict Behavior and Attitudes Early in the COVID-19 Pandemic in the USA?

   https://doi.org/10.1177/00220221221077710  

   Gilliam, Ashley ; Schwartz, Danielle B. ; Godoy, Ricardo ; Boduroglu, Aysecan ; Gutchess, Angela ( June 2022 , Journal of Cross-Cultural Psychology)

   We investigated how tightness-looseness, reflecting strictness of social norms, of state of residence in the USA predicts behaviors and attitudes related to COVID-19. Because individual-level tightness may better capture current attitudes during the pandemic, whereas state-level archival measures reflect historical factors, we assessed the extent to which tightness-looseness at both levels predicted adherence to public health guidelines and biases toward outgroups related to COVID-19. In Spring 2020, 544 mTurk participants, primarily from the 13 tightest and 13 loosest states, completed survey questions about health behaviors in response to COVID-19, endorsement of future policy changes, feeling of responsibility for lives, and attitudes toward groups marginalized during the pandemic (i.e., Asians, older adults). State-level results indicated some associations with attitudes toward Asians and older adults, but effects were not robust. Results based on individuals’ ratings of the tightness of their state indicated that higher levels of perceived tightness were associated with higher levels of protective self-reported public health behaviors (e.g., mask wearing, handwashing) during COVID-19, more endorsement of future policy changes to contain the pandemic, higher reported feelings of responsibility for one’s life, and stronger negative attitudes toward Asians. The relations between tightness and health outcomes persisted after controlling for political attitudes and demographics. Thus, individual, more than state, tightness-looseness accounted for some degree of public health behaviors (unique contribution of individual tightness: R 2  = .034) and attitudes toward marginalized groups ( R 2  = .020) early during the COVID-19 pandemic. The implications of these findings for interventions to support behavior change or combat anti-Asian bias are discussed. 

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3. Observations and conversations: how communities learn about infection risk can impact the success of non-pharmaceutical interventions against epidemics

   https://doi.org/10.1186/s12889-021-12353-9  

   Silk, Matthew J. ; Carrignon, Simon ; Bentley, R. Alexander ; Fefferman, Nina H. ( December 2022 , BMC Public Health)

   Abstract Background Individual behavioural decisions are responses to a person’s perceived social norms that could be shaped by both their physical and social environment. In the context of the COVID-19 pandemic, these environments correspond to epidemiological risk from contacts and the social construction of risk by communication within networks of friends. Understanding the circumstances under which the influence of these different social networks can promote the acceptance of non-pharmaceutical interventions and consequently the adoption of protective behaviours is critical for guiding useful, practical public health messaging. Methods We explore how information from both physical contact and social communication layers of a multiplex network can contribute to flattening the epidemic curve in a community. Connections in the physical contact layer represent opportunities for transmission, while connections in the communication layer represent social interactions through which individuals may gain information, e.g. messaging friends. Results We show that maintaining focus on awareness of risk among each individual’s physical contacts promotes the greatest reduction in disease spread, but only when an individual is aware of the symptoms of a non-trivial proportion of their physical contacts (~ ≥ 20%). Information from the social communication layer without was less useful when these connections matched less well with physical contacts and contributed little in combination with accurate information from physical contacts. Conclusions We conclude that maintaining social focus on local outbreak status will allow individuals to structure their perceived social norms appropriately and respond more rapidly when risk increases. Finding ways to relay accurate local information from trusted community leaders could improve mitigation even where more intrusive/costly strategies, such as contact-tracing, are not possible. 

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4. Community Mobility and Depressive Symptoms During the COVID-19 Pandemic in the United States

   https://doi.org/10.1001/jamanetworkopen.2023.34945  

   Perlis, Roy H. ; Lunz Trujillo, Kristin ; Safarpour, Alauna ; Quintana, Alexi ; Simonson, Matthew D. ; Perlis, Jasper ; Santillana, Mauricio ; Ognyanova, Katherine ; Baum, Matthew A. ; Druckman, James N. ; et al ( September 2023 , JAMA Network Open)

   Marked elevation in levels of depressive symptoms compared with historical norms have been described during the COVID-19 pandemic, and understanding the extent to which these are associated with diminished in-person social interaction could inform public health planning for future pandemics or other disasters.

   To describe the association between living in a US county with diminished mobility during the COVID-19 pandemic and self-reported depressive symptoms, while accounting for potential local and state-level confounding factors.

   This survey study used 18 waves of a nonprobability internet survey conducted in the United States between May 2020 and April 2022. Participants included respondents who were 18 years and older and lived in 1 of the 50 US states or Washington DC.

   Depressive symptoms measured by the Patient Health Questionnaire-9 (PHQ-9); county-level community mobility estimates from mobile apps; COVID-19 policies at the US state level from the Oxford stringency index.

   The 192 271 survey respondents had a mean (SD) of age 43.1 (16.5) years, and 768 (0.4%) were American Indian or Alaska Native individuals, 11 448 (6.0%) were Asian individuals, 20 277 (10.5%) were Black individuals, 15 036 (7.8%) were Hispanic individuals, 1975 (1.0%) were Pacific Islander individuals, 138 702 (72.1%) were White individuals, and 4065 (2.1%) were individuals of another race. Additionally, 126 381 respondents (65.7%) identified as female and 65 890 (34.3%) as male. Mean (SD) depression severity by PHQ-9 was 7.2 (6.8). In a mixed-effects linear regression model, the mean county-level proportion of individuals not leaving home was associated with a greater level of depression symptoms (β, 2.58; 95% CI, 1.57-3.58) after adjustment for individual sociodemographic features. Results were similar after the inclusion in regression models of local COVID-19 activity, weather, and county-level economic features, and persisted after widespread availability of COVID-19 vaccination. They were attenuated by the inclusion of state-level pandemic restrictions. Two restrictions, mandatory mask-wearing in public (β, 0.23; 95% CI, 0.15-0.30) and policies cancelling public events (β, 0.37; 95% CI, 0.22-0.51), demonstrated modest independent associations with depressive symptom severity.

   In this study, depressive symptoms were greater in locales and times with diminished community mobility. Strategies to understand the potential public health consequences of pandemic responses are needed.

    

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5. Addressing Structural Racism as a Root Causes of COVID - 19 Inequality and Advancing Intersectional LGBTQ+ Racial Justice: Examples from Community - Based Participatory Research in Central Florida

   Nolan Kline ( October 2021 , American Public Health Association annual meeting)

   Background: Structural racism is a root cause of health inequality . R esponding to structural racism requires interventions to address systemic inequalit ies that structure poor health , particularly for people with intersecting Black , Latinx , and LGBTQ+ identities . However, l ittl e is known about successful strategies to combat structural racism . Using in - depth , qualitative, community - based participatory research methods, we describe two community interventions in Central Florida that responded to structural racism during the Summ er of 2020. Methods: Findings draw from ongoing qualitative , community - based research that began in 2016 . Data collected include in - depth interviews with leaders and members of community - based organization s that advance intersectional racial and gender justice (n= 54); state legislators (n=2); and clinical service providers (n=4). During the summer of 2020 , community organization leaders created two efforts to combat systemic racism : the “LGBTQ+ Relief Fund” and the “All Black Lives Fund.” The LGBTQ+ Reli ef Fund responded to economic inequality structuring high rates of COVID - 19 among Black and Latinx LGBTQ+ identifying people, and the All Black Lives Fund responded to political and economic disparities in funding Black - led LGBTQ+ organizations. Results: C ommunity interventions resulted in over 800 LGBTQ+ individuals receiving financial assistance during the COVID - 19 pandemic, including LGBTQ+ people who were excluded from statewide interventions such as undocumented immigrants . The All Black Lives Fund d istributed $100,000 to three Black - led LGBTQ+ social movement organizations. Discussion : The se efforts provide examples of community - based approaches to respond to systemic racism as a root cause of poor health. Findings also demonstrate the importance of intersectionality and in - depth qualitative research in public health 

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