Using Online Social Media and Social Networks as a Public Health Intervention

2015 ◽  
Author(s):  
Marco Huesch ◽  
Jason N. Doctor ◽  
Aram Galstyan
2017 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Pande Putu Januraga

Internet is a brand new lifestyle that plays a significant role in influencing people’s life.1 Internet could provide multifariousness of possibilities for communication, entertainment and dealing with every day-life requirements that makes the role of internet becomes wider. Furthermore, because of its essential function, a study on internet addiction revealed that the technology could make people believe that they could not live without it


2020 ◽  
Vol 15 (4) ◽  
pp. 33-62
Author(s):  
Sara Swenson

In this article, I explore how Buddhist charity workers in Vietnam interpret rising cancer rates through understandings of karma. Rather than framing cancer as a primarily physical or medical phenomenon, volunteers state that cancer is a product of collective moral failure. Corruption in public food production is both caused by and perpetuates bad karma, which negatively impacts global existence. Conversely, charity work creates merit, which can improve collective karma and benefit all living beings. I argue that through such interpretations of karma, Buddhist volunteers understand their charity at cancer hospitals as an affective and ethical form of public health intervention.


2021 ◽  
Vol 104 ◽  
pp. 742-745
Author(s):  
Hye Seong ◽  
Hak Jun Hyun ◽  
Jin Gu Yun ◽  
Ji Yun Noh ◽  
Hee Jin Cheong ◽  
...  

Author(s):  
Mark E. Keim ◽  
Laura A. Runnels ◽  
Alexander P. Lovallo ◽  
Margarita Pagan Medina ◽  
Eduardo Roman Rosa ◽  
...  

Abstract Objective: The efficacy is measured for a public health intervention related to community-based planning for population protection measures (PPMs; ie, shelter-in-place and evacuation). Design: This is a mixed (qualitative and quantitative) prospective study of intervention efficacy, measured in terms of usability related to effectiveness, efficiency, satisfaction, and degree of community engagement. Setting: Two municipalities in the Commonwealth of Puerto Rico are included. Participants: Community members consisting of individuals; traditional leaders; federal, territorial, and municipal emergency managers; municipal mayors; National Guard; territorial departments of education, health, housing, public works, and transportation; health care; police; Emergency Medical Services; faith-based organizations; nongovernmental organizations (NGOs); and the private sector. Intervention: The intervention included four community convenings: one for risk communication; two for plan-writing; and one tabletop exercise (TTX). This study analyzed data collected from the project work plan; participant rosters; participant surveys; workshop outputs; and focus group interviews. Main Outcome Measures: Efficacy was measured in terms of ISO 9241-11, an international standard for usability that includes effectiveness, efficiency, user satisfaction, and “freedom from risk” among users. Degree of engagement was considered an indicator of “freedom from risk,” measurable through workshop attendance. Results: Two separate communities drafted and exercised ~60-page-long population protection plans, each within 14.5 hours. Plan-writing workshops completed 100% of plan objectives and activities. Efficiency rates were nearly the same in both communities. Interviews and surveys indicated high degrees of community satisfaction. Engagement was consistent among community members and variable among governmental officials. Conclusions: Frontline communities have successfully demonstrated the ability to understand the environmental health hazards in their own community; rapidly write consensus-based plans for PPMs; participate in an objective-based TTX; and perform these activities in a bi-lingual setting. This intervention appears to be efficacious for public use in the rapid development of community-based PPMs.


2010 ◽  
Vol 16 (6) ◽  
pp. 1166-1173 ◽  
Author(s):  
Sylvie Miaux ◽  
Louis Drouin ◽  
Patrick Morency ◽  
Sophie Paquin ◽  
Lise Gauvin ◽  
...  

2021 ◽  
Vol 19 (7) ◽  
pp. 59-82
Author(s):  
Md Ashraf Ahmed, PhD Candidate ◽  
Arif Mohaimin Sadri, PhD ◽  
M. Hadi Amini, PhD, DEng

Risk perception and risk averting behaviors of public agencies in the emergence and spread of COVID-19 can be retrieved through online social media (Twitter), and such interactions can be echoed in other information outlets. This study collected time-sensitive online social media data and analyzed patterns of health risk communication of public health and emergency agencies in the emergence and spread of novel coronavirus using data-driven methods. The major focus is toward understanding how policy-making agencies communicate risk and response information through social media during a pandemic and influence community response—ie, timing of lockdown, timing of reopening, etc.—and disease outbreak indicators—ie, number of confirmed cases and number of deaths. Twitter data of six major public organizations (1,000-4,500 tweets per organization) are collected from February 21, 2020 to June 6, 2020. Several machine learning algorithms, including dynamic topic model and sentiment analysis, are applied over time to identify the topic dynamics over the specific timeline of the pandemic. Organizations emphasized on various topics—eg, importance of wearing face mask, home quarantine, understanding the symptoms, social distancing and contact tracing, emerging community transmission, lack of personal protective equipment, COVID-19 testing and medical supplies, effect of tobacco, pandemic stress management, increasing hospitalization rate, upcoming hurricane season, use of convalescent plasma for COVID-19 treatment, maintaining hygiene, and the role of healthcare podcast in different timeline. The findings can benefit emergency management, policymakers, and public health agencies to identify targeted information dissemination policies for public with diverse needs based on how local, federal, and international agencies reacted to COVID-19.


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