scholarly journals Social media as a recruitment platform for a nationwide online survey of COVID-19 knowledge, beliefs, and practices in the United States: Methodology and feasibility analysis (Preprint)

2020 ◽  
Author(s):  
Shahmir H. Ali ◽  
Joshua Foreman ◽  
Ariadna Capasso ◽  
Abbey M. Jones ◽  
Yesim Tozan ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Social Media ◽  
Large Scale ◽  
Online Survey ◽  
Cost Optimization ◽  
The United States ◽  
Rapid Onset ◽  
Future Research ◽  
Beliefs And Practices

BACKGROUND The COVID-19 pandemic has evolved into one of the most impactful health crises in modern history. The rapid onset and evolution of the pandemic has compelled researchers to explore innovative ways to efficiently collect public health data in a timely manner. Social media platforms, such as Facebook, have been explored as a recruitment tool for research in other settings; however, their feasibility for collecting data on population beliefs and practices during infectious disease epidemics, such as COVID-19, and their capacity to yield nationally representative samples in these contexts remain unexplored. OBJECTIVE This study has two aims 1) describe the methodology used to recruit a nationwide sample of adults residing in the United States to participate in a survey on COVID-19 knowledge, beliefs, and practices, and 2) outline the preliminary findings related to recruitment, challenges using social media as a recruitment platform, and strategies used to address these challenges. METHODS A Facebook advertisement campaign was used to disseminate the link to an online Qualtrics survey between March 20-30, 2020. Two supplementary male-only and racial minority- targeted advertisements with otherwise identical characteristics to the original advertisement were created on the sixth and tenth day of recruitment, respectively, to address issues of disproportionate female- and White-oriented gender- and ethnic-skewing observed in the advertisement’s reach and response trends. RESULTS The advertisements cumulatively reached 236,017 individuals and resulted in 9,609 clicks (4.07% reach). In total, 6,602 participant responses were recorded (68.7% of those who clicked on the advertisement). Total cost of the advertisement was $906, resulting in costs of $0.09 per click, $0.14 per response (all surveys), and $0.18 per full response (completed surveys). Implementation of the supplementary male-only advertisement successfully improved the cumulative percentage of male respondents from approximately 20% to 40%. CONCLUSIONS The social media advertisement campaign was an effective and efficient strategy to collect large scale, nationwide data on COVID-19 within a short time period. However, significant limitations included gender and racial skewing, which may have resulted from Facebook’s cost optimization algorithms, and advertisement review challenges. Future research should attempt to address such challenges. These findings can inform future research on the use of social media recruitment for the rapid collection of survey data on knowledge, beliefs and practices related to significant public health problems, including rapidly evolving pandemics such as COVID-19.

scholarly journals The Relationship Between Social Media Data and Crime Rates in the United States

2019 ◽  
Vol 5 (1) ◽  
pp. 205630511983458
Author(s):  
Yan Wang ◽  
Wenchao Yu ◽  
Sam Liu ◽  
Sean D. Young
Keyword(s):  
Public Health ◽  
United States ◽  
Social Media ◽  
The United States ◽  
Initial Study ◽  
Future Research ◽  
Social Media Data ◽  
Crime Data ◽  
Targeted Interventions ◽  
Media Data

Crime monitoring tools are needed for public health and law enforcement officials to deploy appropriate resources and develop targeted interventions. Social media, such as Twitter, has been shown to be a feasible tool for monitoring and predicting public health events such as disease outbreaks. Social media might also serve as a feasible tool for crime surveillance. In this study, we collected Twitter data between May and December 2012 and crime data for the years 2012 and 2013 in the United States. We examined the association between crime data and drug-related tweets. We found that tweets from 2012 were strongly associated with county-level crime data in both 2012 and 2013. This study presents preliminary evidence that social media data can be used to help predict future crimes. We discuss how future research can build upon this initial study to further examine the feasibility and effectiveness of this approach.

scholarly journals How advocacy affects Twitter migraine conversations: A pilot cross-sectional survey of Northeast American “migraine” landscape on Twitter from May to June 2020

2020 ◽  
Vol 3 ◽  
pp. 251581632097208
Author(s):  
Pengfei Zhang ◽  
Santosh Bhaskarabhatla
Keyword(s):  
United States ◽  
Social Media ◽  
Network Analysis ◽  
Network Model ◽  
Large Scale ◽  
The United States ◽  
Closeness Centrality ◽  
Control Group ◽  
Annual Conference ◽  
Sources Of Information

Background: Twitter is a leading microblogging platform, with over 126 million daily active users as of 2019, which allows for large-scale analysis of tweets related to migraine. June 2020 encompassed the National Migraine and Headache Awareness Month in the United States and the American Headache Society’s virtual annual conference, which offer opportunities for us to study online migraine advocacy. Objective: We aim to study the content of individual tweets about migraine, as well as study patterns of other topics that were discussed in those tweets. In addition, we aim to study the sources of information that people reference within their tweets. Thirdly, we want to study how online awareness and advocacy movements shape these conversations about migraine. Methods: We designed a Twitter robot that records all unique public tweets containing the word “migraine” from May 8th, 2020 to June 23rd, 2020, within a 400 km radius of New Brunswick, New Jersey, United States. We built two network analysis models, one for the months of May 2020 and June 2020. The model for the month of May served as a control group for the model for the month of June, the Migraine Awareness Month. Our network model was developed with the following rule: if two hashtag topics co-exist in a single tweet, they are considered nodes connected by an edge in our network model. We then determine the top 30 most important hashtags in the month of May and June through applications of degree, between-ness, and closeness centrality. We also generated highly connected subgraphs (HCS) to categorize clusters of conversations within each of our models. Finally, we tally the websites referenced by these tweets during each month and categorized these websites according to the HCS subgroups. Results: Migraine advocacy related tweets are more popular in June when compared to May as judged by degree and closeness centrality measurements. They remained unchanged when judged by between-ness centralities. The HCS algorithm categorizes the hashtags into a large single dominant conversation in both months. In each of the months, advocacy related hashtags are apart of each of the dominant conversation. There are more hashtag topics as well as more unique websites referenced in the dominant conversation in June than in May. In addition, there are many smaller subgroups of migraine-related hashtags, and in each of these subgroups, there are a maximum of two websites referenced. Conclusion: We find a network analysis approach to be fruitful in the area of migraine social media research. Migraine advocacy tweets on Twitter not only rise in popularity during migraine awareness month but also may potentially bring in more diverse sources of online references into the Twitter migraine conversation. The smaller subgroups we identified suggest that there are marginalized conversations referencing a limited number of websites, creating a possibility of an “echo chamber” phenomenon. These subgroups provide an opportunity for targeted migraine advocacy. Our study therefore highlights the success as well as potential opportunities for social media advocacy on Twitter.

scholarly journals Drawing from justice theories to support targets of online harassment

2020 ◽  
pp. 146144482091312
Author(s):  
Sarita Schoenebeck ◽  
Oliver L Haimson ◽  
Lisa Nakamura
Keyword(s):  
United States ◽  
Social Media ◽  
Criminal Justice ◽  
American Indian ◽  
Alaska Native ◽  
Online Survey ◽  
The United States ◽  
Online Harassment ◽  
Justice Theories

Most content moderation approaches in the United States rely on criminal justice models that sanction offenders via content removal or user bans. However, these models write the online harassment targets out of the justice-seeking process. Via an online survey with US participants ( N = 573), this research draws from justice theories to investigate approaches for supporting targets of online harassment. We uncover preferences for banning offenders, removing content, and apologies, but aversion to mediation and adjusting targets’ audiences. Preferences vary by identities (e.g. transgender participants on average find more exposure to be undesirable; American Indian or Alaska Native participants on average find payment to be unfair) and by social media behaviors (e.g. Instagram users report payment as just and fair). Our results suggest that a one-size-fits-all approach will fail some users while privileging others. We propose a broader theoretical and empirical landscape for supporting online harassment targets.

scholarly journals The rising crisis of illicit fentanyl use, overdose, and potential therapeutic strategies

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ying Han ◽  
Wei Yan ◽  
Yongbo Zheng ◽  
Muhammad Zahid Khan ◽  
Kai Yuan ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Severe Pain ◽  
Large Scale ◽  
Social Economic ◽  
The United States ◽  
Therapeutic Strategies ◽  
Public Health Threat ◽  
Reduction Strategies ◽  
Overdose Deaths

Abstract Fentanyl is a powerful opioid anesthetic and analgesic, the use of which has caused an increasing public health threat in the United States and elsewhere. Fentanyl was initially approved and used for the treatment of moderate to severe pain, especially cancer pain. However, recent years have seen a growing concern that fentanyl and its analogs are widely synthesized in laboratories and adulterated with illicit supplies of heroin, cocaine, methamphetamine, and counterfeit pills, contributing to the exponential growth in the number of drug-related overdose deaths. This review summarizes the recent epidemic and evolution of illicit fentanyl use, its pharmacological mechanisms and side effects, and the potential clinical management and prevention of fentanyl-related overdoses. Because social, economic, and health problems that are related to the use of fentanyl and its analogs are growing, there is an urgent need to implement large-scale safe and effective harm reduction strategies to prevent fentanyl-related overdoses.

Challenge of Hospital Emergency Preparedness: Analysis and Recommendations

2009 ◽  
Vol 3 (S1) ◽  
pp. S74-S82 ◽  
Author(s):  
Joseph A. Barbera ◽  
Dale J. Yeatts ◽  
Anthony G. Macintyre
Keyword(s):  
Public Health ◽  
United States ◽  
Health Care ◽  
Natural Disasters ◽  
Emergency Response ◽  
Emergency Preparedness ◽  
Large Scale ◽  
The United States ◽  
Public Health Care ◽  
Medical Emergency

ABSTRACTIn the United States, recent large-scale emergencies and disasters display some element of organized medical emergency response, and hospitals have played prominent roles in many of these incidents. These and other well-publicized incidents have captured the attention of government authorities, regulators, and the public. Health care has assumed a more prominent role as an integral component of any community emergency response. This has resulted in increased funding for hospital preparedness, along with a plethora of new preparedness guidance.Methods to objectively measure the results of these initiatives are only now being developed. It is clear that hospital readiness remains uneven across the United States. Without significant disaster experience, many hospitals remain unprepared for natural disasters. They may be even less ready to accept and care for patient surge from chemical or biological attacks, conventional or nuclear explosive detonations, unusual natural disasters, or novel infectious disease outbreaks.This article explores potential reasons for inconsistent emergency preparedness across the hospital industry. It identifies and discusses potential motivational factors that encourage effective emergency management and the obstacles that may impede it. Strategies are proposed to promote consistent, reproducible, and objectively measured preparedness across the US health care industry. The article also identifies issues requiring research. (Disaster Med Public Health Preparedness. 2009;3(Suppl 1):S74–S82)

scholarly journals Attitudes and Perceptions Toward COVID-19 Digital Surveillance: Survey of Young Adults in the United States

10.2196/23000 ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. e23000
Author(s):  
Lauren Maytin ◽  
Jason Maytin ◽  
Priya Agarwal ◽  
Anna Krenitsky ◽  
JoAnn Krenitsky ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Young Adults ◽  
Online Survey ◽  
The United States ◽  
Contact Tracing ◽  
Health Crisis ◽  
Response Options ◽  
Health Technologies ◽  
Digital Surveillance

Background COVID-19 is an international health crisis of particular concern in the United States, which saw surges of infections with the lifting of lockdowns and relaxed social distancing. Young adults have proven to be a critical factor for COVID-19 transmission and are an important target of the efforts to contain the pandemic. Scalable digital public health technologies could be deployed to reduce COVID-19 transmission, but their use depends on the willingness of young adults to participate in surveillance. Objective The aim of this study is to determine the attitudes of young adults regarding COVID-19 digital surveillance, including which aspects they would accept and which they would not, as well as to determine factors that may be associated with their willingness to participate in digital surveillance. Methods We conducted an anonymous online survey of young adults aged 18-24 years throughout the United States in June 2020. The questionnaire contained predominantly closed-ended response options with one open-ended question. Descriptive statistics were applied to the data. Results Of 513 young adult respondents, 383 (74.7%) agreed that COVID-19 represents a public health crisis. However, only 231 (45.1%) agreed to actively share their COVID-19 status or symptoms for monitoring and only 171 (33.4%) reported a willingness to allow access to their cell phone for passive location tracking or contact tracing. Conclusions Despite largely agreeing that COVID-19 represents a serious public health risk, the majority of young adults sampled were reluctant to participate in digital monitoring to manage the pandemic. This was true for both commonly used methods of public health surveillance (such as contact tracing) and novel methods designed to facilitate a return to normal (such as frequent symptom checking through digital apps). This is a potential obstacle to ongoing containment measures (many of which rely on widespread surveillance) and may reflect a need for greater education on the benefits of public health digital surveillance for young adults.

scholarly journals Kansans in the Middle of the Pandemic: Risk Perception, Knowledge, Compliance with Preventive Measures, and Primary Sources of Information about COVID-19

2020 ◽  
Vol 13 ◽  
pp. 160-164 ◽  
Author(s):  
Mugur Geana
Keyword(s):  
United States ◽  
Social Media ◽  
Health Beliefs ◽  
Online Survey ◽  
Preventive Measures ◽  
The United States ◽  
Sources Of Information ◽  
Midwest United States ◽  
The Times ◽  
Novel Coronavirus

Introduction. As we conduct this study, the world is in the grasp of a deadly pandemic. In less than six months since its first diagnosis in Wuhan, China, the COVID-19 infectious disease due to the novel coronavirus has infected over 5,000,000 people and claimed over 350,000 lives. In the United States, most of the cases are in large urban settings along the coasts, but the disease is slowly progressing through the mainland. Kansas, with its particular location in the midwest United States, has seen a relatively small number of cases, but these are increasing. The Kansas government took radical measures to prevent the spread of the disease. According to the Health Beliefs Model, an individual’s perception of risk will dictate engagement with preventive behaviors. Knowledge about the disease and preventive measures drive the risk assessment. Knowledge is dependant on the sources of information used. This study explored these metrics in a sample of Kansans living in the times of the COVID-19 pandemic. Methods. A combination of snowball samples and random distribution through social media was used to recruit participants to an online survey. The risk and knowledge instrument was developed and validated by WHO Europe. Data collection lasted 96 hours. Results. The attitudes and behaviors of Kansans concerning COVID-19 were consistent with its location in an area of the country with a relatively lower incidence of the disease. Participants had good knowledge about the disease and preventive measures and were willing to comply with recommendations from local authorities. Conclusion. Localized information sources that cater to the community are often primary, while social media is not a valuable source for information pertinent to COVID-19.

scholarly journals Attitudes and Perceptions Toward COVID-19 Digital Surveillance: Survey of Young Adults in the United States (Preprint)

2020 ◽  
Author(s):  
Lauren Maytin ◽  
Jason Maytin ◽  
Priya Agarwal ◽  
Anna Krenitsky ◽  
JoAnn Krenitsky ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Young Adults ◽  
Online Survey ◽  
The United States ◽  
Contact Tracing ◽  
Health Crisis ◽  
Response Options ◽  
Health Technologies ◽  
Digital Surveillance

BACKGROUND COVID-19 is an international health crisis of particular concern in the United States, which saw surges of infections with the lifting of lockdowns and relaxed social distancing. Young adults have proven to be a critical factor for COVID-19 transmission and are an important target of the efforts to contain the pandemic. Scalable digital public health technologies could be deployed to reduce COVID-19 transmission, but their use depends on the willingness of young adults to participate in surveillance. OBJECTIVE The aim of this study is to determine the attitudes of young adults regarding COVID-19 digital surveillance, including which aspects they would accept and which they would not, as well as to determine factors that may be associated with their willingness to participate in digital surveillance. METHODS We conducted an anonymous online survey of young adults aged 18-24 years throughout the United States in June 2020. The questionnaire contained predominantly closed-ended response options with one open-ended question. Descriptive statistics were applied to the data. RESULTS Of 513 young adult respondents, 383 (74.7%) agreed that COVID-19 represents a public health crisis. However, only 231 (45.1%) agreed to actively share their COVID-19 status or symptoms for monitoring and only 171 (33.4%) reported a willingness to allow access to their cell phone for passive location tracking or contact tracing. CONCLUSIONS Despite largely agreeing that COVID-19 represents a serious public health risk, the majority of young adults sampled were reluctant to participate in digital monitoring to manage the pandemic. This was true for both commonly used methods of public health surveillance (such as contact tracing) and novel methods designed to facilitate a return to normal (such as frequent symptom checking through digital apps). This is a potential obstacle to ongoing containment measures (many of which rely on widespread surveillance) and may reflect a need for greater education on the benefits of public health digital surveillance for young adults.

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