scholarly journals The potential and current use of mHealth-based self-quantification tools for primary prevention

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
V Nittas
Keyword(s):  
Public Health ◽  
Primary Prevention ◽  
Barriers And Facilitators ◽  
Health Policies ◽  
Evidence Based ◽  
Public Health Policies ◽  
Robust Evidence

Abstract The panellist Vasileios Nittas will discuss about the potential and current use of mHealth-based self-quantification tools for primary prevention; key barriers and facilitators; their ethical, structural and contextual implications - as well as their impact on developing robust, evidence-based digital (public) health policies.

scholarly journals Formulating evidence-based public health policies: A guide to policy makers

2015 ◽  
Vol 6 (1) ◽  
pp. 4
Author(s):  
SaurabhR Shrivastava ◽  
PrateekS Shrivastava ◽  
Jegadeesh Ramasamy
Keyword(s):  
Public Health ◽  
Health Policies ◽  
Evidence Based ◽  
Policy Makers ◽  
Public Health Policies

New models and taxonomies to understand and address the commercial determinants of health

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A B Gilmore ◽  
L Robertson ◽  
M Petticrew ◽  
N Maani Hessari
Keyword(s):  
Public Health ◽  
Determinants Of Health ◽  
Health Policies ◽  
Evidence Based ◽  
Health It ◽  
Public Health Policies ◽  
Problems And Solutions ◽  
Transnational Companies ◽  
Risk Framing ◽  
Effective Public Health

Abstract Current models of the determinants of health risk framing public health problems and solutions in ways that obscure the role that the private sector, in particular large transnational companies, play in shaping population health. This presentation will propose a new conceptual model of the commercial determinants of health which recognises the commercial sector's direct, indirect, upstream and downstream influences on health. It will also present emerging evidence-based taxonomies that draw together evidence on the key corporate practices which stymie the implementation of effective public health policies. In so doing, the presentation will explore how we move from understanding to addressing the commercial determinants of health.

scholarly journals Advancing public health policy making through research on the political strategies of alcohol industry actors

2019 ◽  
Vol 42 (2) ◽  
pp. 262-269 ◽  
Author(s):  
Jim McCambridge ◽  
Kypros Kypri ◽  
Trevor A Sheldon ◽  
Mary Madden ◽  
Thomas F Babor
Keyword(s):  
Public Health ◽  
Political Influence ◽  
Health Policies ◽  
The Political ◽  
Evidence Based ◽  
Public Health Policies ◽  
Alcohol Policies ◽  
Alcohol Industry ◽  
Mortality Burden ◽  
Global Influence

Abstract Development and implementation of evidence-based policies is needed in order to ameliorate the rising toll of non-communicable diseases (NCDs). Alcohol is a key cause of the mortality burden and alcohol policies are under-developed. This is due in part to the global influence of the alcohol industry. We propose that a better understanding of the methods and the effectiveness of alcohol industry influence on public health policies will support efforts to combat such influence, and advance global health. Many of the issues on the research agenda we propose will inform, and be informed by, research into the political influence of other commercial actors.

How evidence based are public health policies for prevention of mother to child transmission of HIV?

BMJ ◽  
2013 ◽  
Vol 346 (jun20 5) ◽  
pp. f3763-f3763 ◽  
Author(s):  
P. V. d. Perre ◽  
T. Tylleskar ◽  
J.-F. Delfraissy ◽  
N. Nagot
Keyword(s):  
Public Health ◽  
Health Policies ◽  
Evidence Based ◽  
Mother To Child Transmission ◽  
Child Transmission ◽  
Public Health Policies ◽  
Mother To Child

scholarly journals COVID-19 as Cause versus Trigger for the Collapse of Capitalism

2020 ◽  
pp. 002073142097771
Author(s):  
Howard Waitzkin
Keyword(s):  
Public Health ◽  
Health Care ◽  
Adverse Effects ◽  
Health Care Systems ◽  
Health Policies ◽  
Evidence Based ◽  
Public Health Policies ◽  
Large Populations ◽  
Care Systems ◽  
Deep Recession

According to the official narrative of COVID-19, the pandemic has caused the global capitalist economy to collapse, or at least to enter a deep recession and possibly a great depression. Assigning blame to a virus takes attention away from the structural contradictions and instabilities of capitalism that would have led to a crash in any case. This narrative also helps justify non-evidence-based public health policies, including lockdowns, travel bans, closed schools and factories, and forced quarantines of large populations rather than individuals and clustered groups who harbor the infection. Advantages of such drastic measures happen primarily in countries that did not prepare adequately, that did not respond quickly enough with more focused measures to test and isolate people infected with the virus, and that have health care systems either organized by capitalist principles or suffering cutbacks and privatization as a result of capitalist economic ideologies, such as austerity. Authoritarian tactics purportedly intended to protect public health pave the way to antidemocratic rule, militarism, and fascism. These harsh policies also exert their most adverse effects on poor, minority, incarcerated, immigrant, and otherwise marginalized populations, who already suffer from the worsening economic inequality that global, financialized capitalism has fostered.

scholarly journals COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information

2020 ◽  
Vol 35 (4) ◽  
pp. 377-392 ◽  
Author(s):  
Cristina M Pulido ◽  
Beatriz Villarejo-Carballido ◽  
Gisela Redondo-Sama ◽  
Aitor Gómez
Keyword(s):  
Public Health ◽  
Health Risks ◽  
Health Policies ◽  
World Health ◽  
Evidence Based ◽  
False Information ◽  
Public Health Policies ◽  
The World ◽  
Fact Checking ◽  
Health Organization

The World Health Organization has not only signaled the health risks of COVID-19, but also labeled the situation as infodemic, due to the amount of information, true and false, circulating around this topic. Research shows that, in social media, falsehood is shared far more than evidence-based information. However, there is less research analyzing the circulation of false and evidence-based information during health emergencies. Thus, the present study aims at shedding new light on the type of tweets that circulated on Twitter around the COVID-19 outbreak for two days, in order to analyze how false and true information was shared. To that end, 1000 tweets have been analyzed. Results show that false information is tweeted more but retweeted less than science-based evidence or fact-checking tweets, while science-based evidence and fact-checking tweets capture more engagement than mere facts. These findings bring relevant insights to inform public health policies.

scholarly journals Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning

JAMIA Open ◽  
2021 ◽  
Author(s):  
Bo Peng ◽  
Rowland W Pettit ◽  
Christopher I Amos
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Emergency Response ◽  
Robustness Analysis ◽  
Health Policies ◽  
Command Line ◽  
Public Health Policies ◽  
Continuity Planning ◽  
Quantitative Estimates ◽  
Community Infection

Abstract Objectives We developed COVID-19 Outbreak Simulator (https://ictr.github.io/covid19-outbreak-simulator/) to quantitatively estimate the effectiveness of preventative and interventive measures to prevent and battle COVID-19 outbreaks for specific populations. Materials and methods Our simulator simulates the entire course of infection and transmission of the virus among individuals in heterogeneous populations, subject to operations and influences, such as quarantine, testing, social distancing, and community infection. It provides command-line and Jupyter notebook interfaces and a plugin system for user-defined operations. Results The simulator provides quantitative estimates for COVID-19 outbreaks in a variety of scenarios and assists the development of public health policies, risk-reduction operations, and emergency response plans. Discussion Our simulator is powerful, flexible, and customizable, although successful applications require realistic estimation and robustness analysis of population-specific parameters. Conclusion Risk assessment and continuity planning for COVID-19 outbreaks are crucial for the continued operation of many organizations. Our simulator will be continuously expanded to meet this need.

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