Adherence to Emergency Public Health Measures for Bioevents: Review of US Studies

2018 ◽  
Vol 12 (4) ◽  
pp. 528-535 ◽  
Author(s):  
Robyn R. Gershon ◽  
Qi Zhi ◽  
Alexander F. Chin ◽  
Ezinne M. Nwankwo ◽  
Lisa M. Gargano
Keyword(s):  
Public Health ◽  
Psychosocial Factors ◽  
Perceived Risk ◽  
Face Mask ◽  
The United States ◽  
Personal Hygiene ◽  
Community Members ◽  
Health Measures ◽  
Perceived Seriousness ◽  
Tests Of Association

AbstractThe frequency of bioevents is increasing worldwide. In the United States, as elsewhere, control of contagion may require the cooperation of community members with emergency public health measures. The US general public is largely unfamiliar with these measures, and our understanding of factors that influence behaviors in this context is limited. The few previous reviews of research on this topic focused on non-US samples. For this review, we examined published research on the psychosocial influences of adherence in US sample populations. Of 153 articles identified, only 9 met the inclusion criteria. Adherence behaviors were categorized into 2 groups: self-protective behaviors (personal hygiene, social distancing, face mask use, seeking out health care advice, and vaccination) and protecting others (isolation, temperature screening, and quarantine). A lack of uniformity across studies regarding definitions and measures was noted. Only 5 of the 9 articles reported tests of association between adherence with emergency measures and psychosocial factors; perceived risk and perceived seriousness were found to be significantly associated with adherence or adherence intentions. Although it is well documented that psychosocial factors are important predictors of protective health behaviors in general, this has not been rigorously studied in the context of bioevents. (Disaster Med Public Health Preparedness. 2018;12:528–535)

scholarly journals Policy liberalism and source of news predict pandemic-related health behaviors and trust in the scientific community

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252670
Author(s):  
Madeleine Reinhardt ◽  
Matthew B. Findley ◽  
Renee A. Countryman
Keyword(s):  
Public Health ◽  
United States ◽  
Health Behaviors ◽  
News Media ◽  
Perceived Risk ◽  
Scientific Community ◽  
The United States ◽  
World Health ◽  
Health Crisis ◽  
Health Measures

In March of 2020, the United States was confronted with a major public health crisis caused by the coronavirus disease (COVID-19). This study aimed to identify what factors influence adherence to recently implemented public health measures such as mask-wearing and social distancing, trust of scientific organizations like the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO) on information pertaining to the pandemic, and level of perceived risk. Data were collected from June 30, 2020 to July 22, 2020 on 951 adult residents of the United States using an online survey through Microsoft Forms. Multiple linear regression was used to identify the strongest predictors for compliance to pandemic-related health measures, trust in the scientific community, and perceived risk. Results showed that the strongest predictor of all variables of interest was degree of policy liberalism. Additionally, participants who consumed more conservative news media conformed less to the pandemic health guidelines and had less trust in the scientific community. Degree of policy liberalism was found to have a significant moderating effect on the relationship between gender and conformity to pandemic-related health behaviors. These findings have concerning implications that factors like degree of policy liberalism and source of news are more influential in predicting adherence to life-saving health measures than established risk factors like pre-existing health conditions.

scholarly journals A Strong Seasonality Pattern for Covid-19 Incidence Rates Modulated by UV Radiation Levels

Viruses ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 574
Author(s):  
Christos Karapiperis ◽  
Panos Kouklis ◽  
Stelios Papastratos ◽  
Anastasia Chasapi ◽  
Antoine Danchin ◽  
...  
Keyword(s):  
Public Health ◽  
Uv Radiation ◽  
Initial Conditions ◽  
Face Mask ◽  
Incidence Rates ◽  
Personal Hygiene ◽  
Public Health Policies ◽  
Community Transmission ◽  
Nonpharmaceutical Interventions ◽  
Strong Seasonality

The Covid-19 pandemic has required nonpharmaceutical interventions, primarily physical distancing, personal hygiene and face mask use, to limit community transmission, irrespective of seasons. In fact, the seasonality attributes of this pandemic remain one of its biggest unknowns. Early studies based on past experience from respiratory diseases focused on temperature or humidity, with disappointing results. Our hypothesis that ultraviolet (UV) radiation levels might be a factor and a more appropriate parameter has emerged as an alternative to assess seasonality and exploit it for public health policies. Using geographical, socioeconomic and epidemiological criteria, we selected twelve North-equatorial-South countries with similar characteristics. We then obtained UV levels, mobility and Covid-19 daily incidence rates for nearly the entire 2020. Using machine learning, we demonstrated that UV radiation strongly associated with incidence rates, more so than mobility did, indicating that UV is a key seasonality indicator for Covid-19, irrespective of the initial conditions of the epidemic. Our findings can inform the implementation of public health emergency measures, partly based on seasons in the Northern and Southern Hemispheres, as the pandemic unfolds into 2021.

scholarly journals Grappling With Complex Food Systems to Reduce Obesity: A US Public Health Challenge

2018 ◽  
Vol 133 (1_suppl) ◽  
pp. 44S-53S ◽  
Author(s):  
Anne Barnhill ◽  
Anne Palmer ◽  
Christine M. Weston ◽  
Kelly D. Brownell ◽  
Kate Clancy ◽  
...  
Keyword(s):  
Public Health ◽  
Environmental Sustainability ◽  
Food Systems ◽  
Food System ◽  
The United States ◽  
Community Members ◽  
Targeted Interventions ◽  
Health Community ◽  
Policies And Programs ◽  
State Programs

Despite 2 decades of effort by the public health community to combat obesity, obesity rates in the United States continue to rise. This lack of progress raises fundamental questions about the adequacy of our current approaches. Although the causes of population-wide obesity are multifactorial, attention to food systems as potential drivers of obesity has been prominent. However, the relationships between broader food systems and obesity are not always well understood. Our efforts to address obesity can be advanced and improved by the use of systems approaches that consider outcomes of the interconnected global food system, including undernutrition, climate change, the environmental sustainability of agriculture, and other social and economic concerns. By implementing innovative local and state programs, taking new approaches to overcome political obstacles to effect policy, and reconceptualizing research needs, we can improve obesity prevention efforts that target the food systems, maximize positive outcomes, and minimize adverse consequences. We recommend strengthening innovative local policies and programs, particularly those that involve community members in identifying problems and potential solutions and that embrace a broad set of goals beyond making eating patterns healthier. We also recommend undertaking interdisciplinary research projects that go beyond testing targeted interventions in specific populations and aim to build an understanding of the broader social, political, and economic context.

scholarly journals Engagement with COVID-19 Public Health Measures in the United States: A Cross-Sectional Social Media Analysis from June to November 2020 (Preprint)

2020 ◽  
Author(s):  
Daisy Massey ◽  
Chenxi Huang ◽  
Yuan Lu ◽  
Alina Cohen ◽  
Yahel Oren ◽  
...  
Keyword(s):  
Public Health ◽  
Social Media ◽  
Language Processing ◽  
Daily Life ◽  
The United States ◽  
Media Analysis ◽  
Prevention Measures ◽  
Cross Sectional ◽  
Health Measures ◽  
The Us

BACKGROUND The coronavirus disease 2019 (COVID-19) has continued to spread in the US and globally. Closely monitoring public engagement and perception of COVID-19 and preventive measures using social media data could provide important information for understanding the progress of current interventions and planning future programs. OBJECTIVE To measure the public’s behaviors and perceptions regarding COVID-19 and its daily life effects during the recent 5 months of the pandemic. METHODS Natural language processing (NLP) algorithms were used to identify COVID-19 related and unrelated topics in over 300 million online data sources from June 15 to November 15, 2020. Posts in the sample were geotagged, and sensitivity and specificity were both calculated to validate the classification of posts. The prevalence of discussion regarding these topics was measured over this time period and compared to daily case rates in the US. RESULTS The final sample size included 9,065,733 posts, 70% of which were sourced from the US. In October and November, discussion including mentions of COVID-19 and related health behaviors did not increase as it had from June to September, despite an increase in COVID-19 daily cases in the US beginning in October. Additionally, counter to reports from March and April, discussion was more focused on daily life topics (69%), compared with COVID-19 in general (37%) and COVID-19 public health measures (20%). CONCLUSIONS There was a decline in COVID-19-related social media discussion sourced mainly from the US, even as COVID-19 cases in the US have increased to the highest rate since the beginning of the pandemic. Targeted public health messaging may be needed to ensure engagement in public health prevention measures until a vaccine is widely available to the public.

scholarly journals A New Era of Epidemiology: Digital Epidemiology for Investigating the COVID-19 Outbreak in China

10.2196/21685 ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. e21685
Author(s):  
Zonglin He ◽  
Casper J P Zhang ◽  
Jian Huang ◽  
Jingyan Zhai ◽  
Shuang Zhou ◽  
...  
Keyword(s):  
Public Health ◽  
Information And Communication Technologies ◽  
Ethical Issues ◽  
Rapid Development ◽  
Disease Outbreaks ◽  
Face Mask ◽  
Digital Data ◽  
Disease Spread ◽  
Health Measures ◽  
Digital Epidemiology

A novel pneumonia-like coronavirus disease (COVID-19) caused by a novel coronavirus named SARS-CoV-2 has swept across China and the world. Public health measures that were effective in previous infection outbreaks (eg, wearing a face mask, quarantining) were implemented in this outbreak. Available multidimensional social network data that take advantage of the recent rapid development of information and communication technologies allow for an exploration of disease spread and control via a modernized epidemiological approach. By using spatiotemporal data and real-time information, we can provide more accurate estimates of disease spread patterns related to human activities and enable more efficient responses to the outbreak. Two real cases during the COVID-19 outbreak demonstrated the application of emerging technologies and digital data in monitoring human movements related to disease spread. Although the ethical issues related to using digital epidemiology are still under debate, the cases reported in this article may enable the identification of more effective public health measures, as well as future applications of such digitally directed epidemiological approaches in controlling infectious disease outbreaks, which offer an alternative and modern outlook on addressing the long-standing challenges in population health.

Outdoor Recreationists’ Perceptions of Risk, Agency Trust, and Visitor Capacities During the COVID-19 Pandemic

2021 ◽  
Author(s):  
William Rice ◽  
Timothy Mateer ◽  
Peter Newman ◽  
Ben Lawhon ◽  
Nathan Reigner ◽  
...  
Keyword(s):  
Public Health ◽  
Perceived Risk ◽  
Outdoor Recreation ◽  
Public Lands ◽  
The United States ◽  
Individual Risk ◽  
Public Health Agencies ◽  
Management Actions ◽  
Health Agencies ◽  
Community Risk

For nearly a century in the United States, visitor capacities have served as a means of preserving resources and the visitor experience on public lands. The COVID-19 pandemic resulted in increased interest in implementing visitor capacities that could potentially limit use on public lands, suggesting a need to understand public support for their use in a timely manner. Risk and trust have been used in previous research concerning support for natural resource and outdoor recreation decision-making. Research in this realm includes investigation at the intersection of outdoor recreation and public health, specific to chronic wasting disease. Following this previous research, this study utilizes the constructs of risk and trust to examine support for visitor capacities that could potentially limit use during the COVID-19 pandemic. Specifically, this theory-driven research relies on the cultural theory of risk and social trust theory. Using structural equation modeling and a sample of avid outdoor enthusiasts, we examine how well 1) perceived individual risk, 2) perceived community risk, 3) trust in public health agencies, and 4) trust in public land agencies predict support for visitor capacities that could potentially limit use. An email-distributed online survey was available for 48 hours beginning on April 30, 2020—during the first wave of the COVID-19 pandemic in the United States. Measurement of perceived risk and trust followed previous research relating to outdoor recreation and public health. Results indicate that outdoor enthusiasts are concerned about their individual and community health and reported higher levels of trust in data coming directly from public health agencies as opposed to state or federal land management agencies. Additionally, perceived individual risk and perceived community risk were significant predictors of support for visitor capacities. These findings can be used to improve the effectiveness of messaging intended to connect perceived risk to the management of parks and protected areas, thus providing credibility to management actions implemented during the pandemic. Additional implications from this research include the need for additional research examining support for management actions that could potentially limit use on public lands, the multidimensionality of trust in outdoor recreation, and individual risk in frontcountry outdoor recreation settings.

Essay I Primary Care and Public Health

2015 ◽  
pp. 26-27
Author(s):  
Julie K. Wood
Keyword(s):  
Public Health ◽  
Primary Care ◽  
Health Professionals ◽  
The United States ◽  
Federal Agencies ◽  
Community Members ◽  
Policy Makers ◽  
Public Health Professionals ◽  
Primary Care Clinicians ◽  
The Right

Drawing on the experiences of hundreds of public health and primary care clinicians from across the United States, this book explains why population health is receiving so much attention from policy makers in states and federal agencies, the practical steps that clinicians and public health professionals can take to work together to meet the needs of their community, signs that you are on the right track (or not) and how to sustain successes to the benefit of patients, community members, and the health care and public health teams that care for them.

Data and the Future of Public Health

2015 ◽  
pp. 305-310
Author(s):  
Jeffrey Engel
Keyword(s):  
Public Health ◽  
Primary Care ◽  
Health Professionals ◽  
The United States ◽  
Federal Agencies ◽  
Community Members ◽  
Policy Makers ◽  
Public Health Professionals ◽  
Primary Care Clinicians ◽  
The Right

Drawing on the experiences of hundreds of public health and primary care clinicians from across the United States, this book explains why population health is receiving so much attention from policy makers in states and federal agencies, the practical steps that clinicians and public health professionals can take to work together to meet the needs of their community, signs that you are on the right track (or not) and how to sustain successes to the benefit of patients, community members, and the health care and public health teams that care for them.

Partnering With Medicaid, Medicare, Public Health, and Primary Care to Improve Health Outcomes

2015 ◽  
pp. 195-206
Author(s):  
Sharon G. Moffatt ◽  
Monica Valdes Lupi ◽  
Kathleen Nolan
Keyword(s):  
Public Health ◽  
Primary Care ◽  
Health Professionals ◽  
The United States ◽  
Federal Agencies ◽  
Community Members ◽  
Policy Makers ◽  
Public Health Professionals ◽  
Primary Care Clinicians ◽  
The Right

Drawing on the experiences of hundreds of public health and primary care clinicians from across the United States, this book explains why population health is receiving so much attention from policy makers in states and federal agencies, the practical steps that clinicians and public health professionals can take to work together to meet the needs of their community, signs that you are on the right track (or not) and how to sustain successes to the benefit of patients, community members, and the health care and public health teams that care for them.

Community Health Assessments: Past, Present, and Future

2015 ◽  
pp. 167-179 ◽  
Author(s):  
Kevin Barnett ◽  
Sara Rosenbaum
Keyword(s):  
Public Health ◽  
Health Professionals ◽  
The United States ◽  
Federal Agencies ◽  
Community Members ◽  
Policy Makers ◽  
Public Health Professionals ◽  
Health Assessments ◽  
Primary Care Clinicians ◽  
The Right

Drawing on the experiences of hundreds of public health and primary care clinicians from across the United States, this book explains why population health is receiving so much attention from policy makers in states and federal agencies, the practical steps that clinicians and public health professionals can take to work together to meet the needs of their community, signs that you are on the right track (or not) and how to sustain successes to the benefit of patients, community members, and the health care and public health teams that care for them.

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