Effects of Practicing Social Distancing on COVID-19 Infections and Deaths: A Retrospective Study

2020 ◽  
Author(s):  
Ateequr Rahman
Keyword(s):  
Public Health ◽  
Public Health Policy ◽  
The United States ◽  
Mitigation Strategy ◽  
Future Research ◽  
Markov Modeling ◽  
Social Distancing ◽  
Resource Center ◽  
Missed Opportunity ◽  
Related Mortality

Background: The study aimed to investigate whether the implementation of social distancing as a mitigation strategy earlier as opposed to in late March would have made an impact on the number of COVID-19 cases and related mortality in the United States. Methods: A Decision tree (Markov Modeling) was performed utilizing the Treeage Software®. The data, which was analyzed via Markov Modeling, was collected from Johns Hopkins Coronavirus Resource Center (CRC) and the CDC from February 1st through March 31st. Results: The results showed that earlier use of social distancing would have saved lives, prevented infections, and restricted the exponential spread of infections later in the pandemic. Had social distancing been instituted on March 1st, 307,237 infections would have been prevented, and 9,130 lives would have been saved by March 31st. This study points to the missed opportunity of earlier initiation of the mitigation strategy of social distancing use, with March 1st being a critical breakpoint. Conclusion: Analysis of the data concludes social distancing use must be strictly adhered to address the spread of infections and deaths due to Coronavirus. The findings of this study would be relevant for future research in formulating public health policy.

Persons with Disabilities and Public Health Ethics

2019 ◽  
pp. 218-231
Author(s):  
Monika Mitra ◽  
Linda Long-Bellil ◽  
Robyn Powell
Keyword(s):  
Public Health ◽  
Health Policy ◽  
Public Health Policy ◽  
Ethical Issues ◽  
The United States ◽  
Policy And Practice ◽  
Persons With Disabilities ◽  
Public Health Decision ◽  
Health Decision ◽  
Health Policy And Practice

This chapter draws on medical, social, and legal perspectives to identify and highlight ethical issues pertaining to the treatment, representation, and inclusion of persons with disabilities in public health policy and practice. A brief history of disability in the United States is provided as a context for examining the key ethical issues related to public health policy and practice. Conceptual frameworks and approaches to disability are then described and applied. The chapter then discusses the imperativeness of expanding access to public health programs by persons with disabilities, the need to address implicit and structural biases, and the importance of including persons with disabilities in public health decision-making.

scholarly journals Face Covered and Six Feet Apart: Behavioral Awareness Predicts Greater Adherence to Public Health Guidelines during the COVID-19 Pandemic

2021 ◽  
Vol 18 (16) ◽  
pp. 8247
Author(s):  
Alyssa Schneider ◽  
Emily B. Kroska
Keyword(s):  
Public Health ◽  
Psychological Flexibility ◽  
The United States ◽  
Future Research ◽  
Physical And Mental Health ◽  
Logistic Regression Models ◽  
Demographic Correlates ◽  
Amazon's Mechanical Turk ◽  
Predictors Of Adherence ◽  
Close Contacts

The COVID-19 pandemic has deleteriously impacted physical and mental health. Guidelines to limit the spread of COVID-19 include wearing a face covering in public, limiting close contacts, and physical distancing. In combatting this and future pandemics, it is essential to understand predictors of adherence, such as psychological flexibility. We hypothesized higher psychological flexibility would relate to greater adherence to public health guidelines. Participants (n = 265) were English-reading/speaking adults in the United States and were recruited through Amazon’s Mechanical Turk. Included in the present analyses are data from June (n = 360) and July 2020 (n = 265). Measures included the Comprehensive Assessment of ACT Processes (CompACT), which measured psychological flexibility. Outcome measures included mask-wearing and number of close contacts, which were operationalized categorically (100% mask-wearing in public, ≤10 close contacts in past week). Two logistic regression models examined psychological flexibility and distress as predictors of adherence to mask-wearing and limiting close contacts, while controlling for demographic correlates. Results indicated that greater behavioral awareness predicted greater odds of mask-wearing and limiting close contacts. Psychological flexibility, and behavioral awareness specifically, should be investigated in future research as targets for intervention amidst global disasters.

scholarly journals Approaches to Reducing Risk of COVID-19 Infections in Prisons and Immigration Detention Centers: A Commentary

2020 ◽  
pp. 073401682095770
Author(s):  
Kate Kelly ◽  
Nai Soto ◽  
Nadi Damond Wisseh ◽  
Shaina A. Clerget
Keyword(s):  
Public Health ◽  
Public Health Policy ◽  
Well Being ◽  
The United States ◽  
Correctional Staff ◽  
Staff Members ◽  
Detention Centers ◽  
Fast Spreading ◽  
Returning Home ◽  
The Face

Although often left out of public health efforts and policy decisions, prisons, jails, and detention centers are integral to community health. With an average of 650,000 citizens returning home from prison each year in the United States, and thousands of correctional staff members returning home every night, there are millions of touchpoints between outside communities and carceral settings. For this reason, carceral communities should be central to planning and policy making in response to the spread of the COVID-19 illness. As social workers and clinicians, we are urgently concerned that efforts to prevent COVID-19 infections in prisons are underdeveloped and inadequate in the face of a fast-spreading virus. In this commentary, we outline a set of public health, policy, and clinical recommendations based upon the existing literature to mitigate various risks to the well-being of carceral communities.

scholarly journals Obligation or Desire: Variation in Motivation for Compliance With COVID-19 Public Health Guidance

2021 ◽  
Vol 12 ◽  
Author(s):  
Ting Ai ◽  
Glenn Adams ◽  
Xian Zhao
Keyword(s):  
Public Health ◽  
United States ◽  
The United States ◽  
Psychological Experience ◽  
Social Distancing ◽  
Prosocial Motivation ◽  
Self Study ◽  
Practical Implications ◽  
Health Guidance

Why do people comply with coronavirus disease 2019 (COVID-19) public health guidance? This study considers cultural-psychological foundations of variation in beliefs about motivations for such compliance. Specifically, we focused on beliefs about two sources of prosocial motivation: desire to protect others and obligation to society. Across two studies, we observed that the relative emphasis on the desire to protect others (vs. the obligation to the community) as an explanation for compliance was greater in the United States settings associated with cultural ecologies of abstracted independence than in Chinese settings associated with cultural ecologies of embedded interdependence. We observed these patterns for explanations of psychological experience of both others (Study 1) and self (Study 2), and for compliance with mandates for both social distancing and face masks (Study 2). Discussion of results considers both practical implications for motivating compliance with public health guidance and theoretical implications for denaturalizing prevailing accounts of prosocial motivation.

The Emergence of COVID-19 in the US: A Public Health and Political Communication Crisis

2020 ◽  
Vol 45 (6) ◽  
pp. 967-981 ◽  
Author(s):  
Sarah E. Gollust ◽  
Rebekah H. Nagler ◽  
Erika Franklin Fowler
Keyword(s):  
Public Health ◽  
Political Communication ◽  
Initial Response ◽  
The United States ◽  
Future Research ◽  
Attitudes And Beliefs ◽  
Health Issues ◽  
Health Crisis ◽  
The Public ◽  
The Us

Abstract The coronavirus public health crisis is also a political-communication and health-communication crisis. In this article, the authors describe the key communication-related phenomena and evidence of concerning effects manifested in the United States during the initial response to the pandemic. The authors outline the conditions of communication about coronavirus that contribute to deleterious outcomes, including partisan cueing, conflicting science, downplayed threats, emotional arousal, fragmented media, and Trump's messaging. The authors suggest these have contributed to divergent responses by media sources, partisan leaders, and the public alike, leading to different attitudes and beliefs as well as varying protective actions taken by members of the public to reduce their risk. In turn, these divergent communication phenomena will likely amplify geographic variation in and inequities with COVID-19 disease outcomes. The authors conclude with some suggestions for future research, particularly surrounding communication about health inequity and strategies for reducing partisan divergence in views of public health issues in the future.

scholarly journals Public Health, Population Health, and Epidemiology Informatics: Recent Research and Trends in the United States

2017 ◽  
Vol 26 (01) ◽  
pp. 241-247 ◽  
Author(s):  
B. L. Massoudi ◽  
K. G. Chester
Keyword(s):  
Public Health ◽  
Population Health ◽  
Workforce Development ◽  
Health Informatics ◽  
English Language ◽  
The United States ◽  
Public Health Workforce ◽  
Future Research ◽  
Public Health Informatics ◽  
Research Activities

Summary Objectives: To survey advances in public and population health and epidemiology informatics over the past 18 months. Methods: We conducted a review of English-language research works conducted in the domain of public and population health informatics and published in MEDLINE or Web of Science between January 2015 and June 2016 where information technology or informatics was a primary subject or main component of the study methodology. Selected articles were presented using a thematic analysis based on the 2011 American Medical Informatics Association (AMIA) Public Health Informatics Agenda tracks as a typology. Results: Results are given within the context developed by Dixon et al., (2015) and key themes from the 2011 AMIA Public Health Informatics Agenda. Advances are presented within a socio-technical infrastructure undergirded by a trained, competent public health workforce, systems development to meet the business needs of the practice field, and research that evaluates whether those needs are adequately met. The ability to support and grow the infrastructure depends on financial sustainability. Conclusions: The fields of public health and population health informatics continue to grow, with the most notable developments focused on surveillance, workforce development, and linking to or providing clinical services, which encompassed population health informatics advances. Very few advances addressed the need to improve communication, coordination, and consistency with the field of informatics itself, as identified in the AMIA agenda. This will likely result in the persistence of the silos of public health information systems that currently exist. Future research activities need to aim toward a holistic approach of informatics across the enterprise.

scholarly journals Mining and Validating Social Media for COVID-19-Related Human Behaviors between January and July; An Infodemiology Study (Preprint)

2021 ◽  
Author(s):  
Ashlynn R. Daughton ◽  
Courtney Diane Shelley ◽  
Martha Barnard ◽  
Dax Gerts ◽  
Chrysm Watson Ross ◽  
...  
Keyword(s):  
Public Health ◽  
Social Media ◽  
Ground Truth ◽  
The United States ◽  
Training Data ◽  
Long Term Effects ◽  
Social Distancing ◽  
Human Behaviors ◽  
Mobility Data ◽  
The Impact

BACKGROUND Health authorities can minimize the impact of an emergent infectious disease outbreak through effective and timely risk communication, which can build trust and adherence to subsequent behavioral messaging. Monitoring the psychological impacts of an outbreak, as well as public adherence to such messaging is also important for minimizing long term effects of an outbreak. OBJECTIVE We used social media data to identify human behaviors relevant to COVID-19 transmission and the perceived impacts of COVID-19 on individuals as a first step toward real time monitoring of public perceptions to inform public health communications. METHODS We develop a coding schema for 6 categories and 11 subcategories, which includes both a wide number of behaviors, as well codes focused on the impacts of the pandemic (e.g., economic and mental health impacts). We use this to develop training data and develop supervised learning classifiers for classes with sufficient labels. Classifiers that perform adequately are applied to our remaining corpus and temporal and geospatial trends are assessed. We compare the classified patterns to ground truth mobility data and actual COVID-19 confirmed cases to assess the signal achieved here. RESULTS We apply our labeling schema to ~7200 tweets. The worst performing classifiers have F1 scores of only 0.18-0.28 when trying to identify tweets about monitoring symptoms and testing. Classifiers about social distancing, however, are much stronger with F1 scores of 0.64-0.66. We applied the social distancing classifiers to over 228 million tweets. We show temporal patterns consistent with real-world events, and show correlations of up to -0.5 between social distancing signals on Twitter and ground-truth mobility throughout the United States. CONCLUSIONS Behaviors discussed on Twitter are exceptionally varied. Twitter can provide useful information for parameterizing models that incorporate human behavior as well as informing public health communication strategies by describing awareness of and compliance with suggested behaviors. CLINICALTRIAL N/A

scholarly journals Social Capital Dimensions are Differentially Associated with COVID-19 Vaccinations, Masks, and Physical Distancing

2021 ◽  
Author(s):  
Ibtihal Ferwana ◽  
Lav R. Varshney
Keyword(s):  
Public Health ◽  
United States ◽  
Social Capital ◽  
Community Health ◽  
Collective Efficacy ◽  
Residential Mobility ◽  
The United States ◽  
Social Distancing ◽  
The Social ◽  
Family Unity

Background Social capital has been associated with health outcomes in communities and can explain variations in different geographic localities. Social capital has also been associated with behaviors that promote better health and reduce the impacts of diseases. During the COVID-19 pandemic, social distancing, face masking, and vaccination have all been essential in controlling contagion. These behaviors have not been uniformly adopted by communities in the United States. Using different facets of social capital to explain the differences in public behaviors among communities during pandemics is lacking. Objective This study examines the relationship among public health behavior, vaccination, face masking, and physical distancing during COVID-19 pandemic and social capital indices in counties in the United States. Methods We used publicly available vaccination data as of June 2021, face masking data in July 2020, and mobility data from mobile phones movements from the end of March 2020. Then, correlation analysis was conducted with county-level social capital index and its subindices (family unity, community health, institutional health, and collective efficacy) that were obtained from the Social Capital Project by the United States Senate. Results We found the social capital index and its subindices differentially correlate with different public health behaviors. Vaccination is associated with institutional health: positively with fully vaccinated population and negatively with vaccination hesitancy. Also, wearing masks negatively associates with community health, whereases reduced mobility associates with better community health. Further, residential mobility positively associates with family unity. By comparing correlation coefficients, we find that social capital and its subindices have largest effect sizes on vaccination and residential mobility. Conclusion Our results show that different facets of social capital are significantly associated with adoption of protective behaviors, e.g., social distancing, face masking, and vaccination. As such, our results suggest that differential facets of social capital imply a Swiss cheese model of pandemic control planning where, e.g., institutional health and community health, provide partially overlapping behavioral benefits.

scholarly journals Social capital dimensions are differentially associated with COVID-19 vaccinations, masks, and physical distancing

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260818
Author(s):  
Ibtihal Ferwana ◽  
Lav R. Varshney
Keyword(s):  
Public Health ◽  
United States ◽  
Social Capital ◽  
Community Health ◽  
Collective Efficacy ◽  
Residential Mobility ◽  
The United States ◽  
Social Distancing ◽  
The Social ◽  
Family Unity

Background Social capital has been associated with health outcomes in communities and can explain variations in different geographic localities. Social capital has also been associated with behaviors that promote better health and reduce the impacts of diseases. During the COVID-19 pandemic, social distancing, face masking, and vaccination have all been essential in controlling contagion. These behaviors have not been uniformly adopted by communities in the United States. Using different facets of social capital to explain the differences in public behaviors among communities during pandemics is lacking. Objective This study examines the relationship among public health behavior—vaccination, face masking, and physical distancing—during COVID-19 pandemic and social capital indices in counties in the United States. Methods We used publicly available vaccination data as of June 2021, face masking data in July 2020, and mobility data from mobile phones movements from the end of March 2020. Then, correlation analysis was conducted with county-level social capital index and its subindices (family unity, community health, institutional health, and collective efficacy) that were obtained from the Social Capital Project by the United States Senate. Results We found the social capital index and its subindices differentially correlate with different public health behaviors. Vaccination is associated with institutional health: positively with fully vaccinated population and negatively with vaccination hesitancy. Also, wearing masks negatively associates with community health, whereases reduced mobility associates with better community health. Further, residential mobility positively associates with family unity. By comparing correlation coefficients, we find that social capital and its subindices have largest effect sizes on vaccination and residential mobility. Conclusion Our results show that different facets of social capital are significantly associated with adoption of protective behaviors, e.g., social distancing, face masking, and vaccination. As such, our results suggest that differential facets of social capital imply a Swiss cheese model of pandemic control planning where, e.g., institutional health and community health, provide partially overlapping behavioral benefits.

scholarly journals Pediatric Mental and Behavioral Health in the Period of Quarantine and Social Distancing With COVID-19

10.2196/19867 ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. e19867 ◽  
Author(s):  
Jiancheng Ye
Keyword(s):  
Public Health ◽  
Behavioral Health ◽  
Psychological Trauma ◽  
Mental Illnesses ◽  
Future Research ◽  
Clinical Practices ◽  
Social Distancing ◽  
Health Technologies ◽  
The World

The coronavirus disease (COVID-19) pandemic has spread rapidly throughout the world and has had a long-term impact. The pandemic has caused great harm to society and caused serious psychological trauma to many people. Children are a vulnerable group in this global public health emergency, as their nervous systems, endocrine systems, and hypothalamic-pituitary-adrenal axes are not well developed. Psychological crises often cause children to produce feelings of abandonment, despair, incapacity, and exhaustion, and even raise the risk of suicide. Children with mental illnesses are especially vulnerable during the quarantine and social distancing period. The inclusion of psychosocial support for children and their families are part of the health responses to disaster and disaster recovery. Based on the biopsychosocial model, some children may have catastrophic thoughts and be prone to experience despair, numbness, flashbacks, and other serious emotional and behavioral reactions. In severe cases, there may be symptoms of psychosis or posttraumatic stress disorder. Timely and appropriate protections are needed to prevent the occurrence of psychological and behavioral problems. The emerging digital applications and health services such as telehealth, social media, mobile health, and remote interactive online education are able to bridge the social distance and support mental and behavioral health for children. Based on the psychological development characteristics of children, this study also illustrates interventions on the psychological impact from the COVID-19 pandemic. Even though the world has been struggling to curb the influences of the pandemic, the quarantine and social distancing policies will have long-term impacts on children. Innovative digital solutions and informatics tools are needed more than ever to mitigate the negative consequences on children. Health care delivery and services should envision and implement innovative paradigms to meet broad well-being needs and child health as the quarantine and social distancing over a longer term becomes a new reality. Future research on children's mental and behavioral health should pay more attention to novel solutions that incorporate cutting edge interactive technologies and digital approaches, leveraging considerable advances in pervasive and ubiquitous computing, human-computer interaction, and health informatics among many others. Digital approaches, health technologies, and informatics are supposed to be designed and implemented to support public health surveillance and critical responses to children’s growth and development. For instance, human-computer interactions, augmented reality, and virtual reality could be incorporated to remote psychological supporting service for children’s health; mobile technologies could be used to monitor children’s mental and behavioral health while protecting their individual privacy; big data and artificial intelligence could be used to support decision making on whether children should go out for physical activities and whether schools should be reopened. Implications to clinical practices, psychological therapeutic practices, and future research directions to address current effort gaps are highlighted in this study.

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