scholarly journals PubliCo. A protocol for a new risk and crisis communication platform to bridge the gap between policy makers and the public in the context of the COVID-19 crisis (Preprint)

2021 ◽  
Author(s):  
Giovanni Spitale ◽  
Sonja Merten ◽  
Kristen Jafflin ◽  
Bettina Schwind ◽  
Andrea Kaiser-Grolimund ◽  
...  
Keyword(s):  
Real Time ◽  
Crisis Communication ◽  
Public Perception ◽  
Online Survey ◽  
Control Measures ◽  
Time Data ◽  
Flexible Tool ◽  
Policy Makers ◽  
Real Time Data ◽  
Restrictive Measures

UNSTRUCTURED Background Since the end of 2019, COVID-19 has had a significant impact on citizens around the globe. As governments institute more restrictive measures, public adherence could decrease and discontent mount. Providing high-quality information and countering fake news is important. But we also need feedback loops so that government officials can refine preventive measures and communication strategies. Policy-makers need information – preferably based on real-time data – on the public’s cognitive, emotional and behavioural reaction to public health messages and restrictive measures. PubliCo aims to foster effective and tailored risk and crisis communication as well as an assessment of the risks and benefits of prevention and control measures, as their effectiveness depends on public trust and cooperation. Objective Our project aims to develop a tool that helps tackle the COVID-19 infodemic, with a focus on enabling a nuanced and in-depth understanding of public perception. The project adopts a trans-disciplinary multi-stakeholder approach, including participatory citizen science. Methods Methodologically, we combine literature and media review and analysis and empirical research using mixed methods, including an online survey and diary-based research, both of which are ongoing and continuously updated. Building on real-time data and continuous data collection, our research results will be highly adaptable to the evolving situation. Strengths and limitations of this study - PubliCo is a new modular and flexible tool to provide bi-directional interaction between citizens and policy-makers for risk and crisis communication - PubliCo relies on quantitative and qualitative data to provide a precise, timely and rich analysis of complex phenomena - PubliCo is open and transparent by design - Although important safeguards are put in place in the code, in a less democratic context it could be used for social control - Communicating complex notions with moral implications (e.g. about health risks, allocation strategies, and community benefits) is a challenge.

scholarly journals Artificial Intelligence assisted Prediction of COVID-19 Hotspots in Third Wave using EHTERAZ

2021 ◽  
Author(s):  
Mustafa Ahmed ◽  
Mohammed Houkan ◽  
Kishor Kumar Sadasivuni
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Mobile Technology ◽  
Hot Spots ◽  
Mobile Application ◽  
Local State ◽  
Third Wave ◽  
Time Data ◽  
Policy Makers ◽  
Real Time Data

The present study conceptualizes fusion of artificial intelligence and contract tracking mobile application for predicting the COVID-19 hot spots. The findings suggest that mobile technology can be used to provide real-time data on the national and local state of the pandemic, enabling policy makers to make informed decisions in a quickly moving pandemic.

#CleftProud

2018 ◽  
Vol 55 (10) ◽  
pp. 1339-1349 ◽  
Author(s):  
Nicola Marie Stock ◽  
Anna Martindale ◽  
Claire Cunniffe
Keyword(s):  
Social Networking ◽  
Real Time ◽  
Emotional Support ◽  
Social Networking Sites ◽  
Online Survey ◽  
Cleft Lip ◽  
Cleft Lip And Palate ◽  
Dental Health ◽  
Time Data ◽  
Real Time Data

Background: More than 2 billion people worldwide now use social networking sites, with an increasing number of users accessing these sites to obtain health information and engage in emotional support. Yet, investigation of social networking sites in the context of cleft lip and/or palate (CL/P) has been scarce. Methods: Real-time data posted during 2 weeks in April 2017 were collected from 2 existing private Facebook groups (hosted by the Cleft Lip and Palate Association United Kingdom) using video screen capture software. The number of posts, comments, unique contributors, and post “likes” was recorded, as well as the type and theme of each post. Data relating to the benefits and challenges of participation in the 2 groups were also collected via an online survey. Results: A content analysis of real-time data identified perioperative care, associated syndromes, and dental health to be particular areas of concern for parents/caregivers. Expectations, experiences, and outcomes of further treatment were key topics of discussion for adults with CL/P. Common benefits of the groups included the ability to connect with others, learn about local events, give and receive emotional support, and obtain quick responses to queries in a semi-anonymous environment. Disadvantages of the groups included a reliance upon opinion rather than medical fact and the frequent use of inappropriate terminology. Conclusions: Social networking sites appear to be a helpful source of health-related information and peer support for the CL/P population, yet closer monitoring of these groups may be required.

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data

MHA releases largest real‐time data from MH help‐seekers

2021 ◽  
Vol 31 (6) ◽  
pp. 7-7
Author(s):  
Valerie A. Canady
Keyword(s):  
Real Time ◽  
Time Data ◽  
Real Time Data

Why Ecological Momentary Assessment Surveys Go Incomplete?: When It Happens and How It Impacts Data

2020 ◽  
Author(s):  
Yu-Hsiang Wu ◽  
Jingjing Xu ◽  
Elizabeth Stangl ◽  
Shareka Pentony ◽  
Dhruv Vyas ◽  
...  
Keyword(s):  
Real Time ◽  
Self Report ◽  
Data Logging ◽  
Time Data ◽  
Real Time Data ◽  
Report Data ◽  
Self Report Data ◽  
Ecological Momentary ◽  
The Impact ◽  
Momentary Assessment

Abstract Background Ecological momentary assessment (EMA) often requires respondents to complete surveys in the moment to report real-time experiences. Because EMA may seem disruptive or intrusive, respondents may not complete surveys as directed in certain circumstances. Purpose This article aims to determine the effect of environmental characteristics on the likelihood of instances where respondents do not complete EMA surveys (referred to as survey incompletion), and to estimate the impact of survey incompletion on EMA self-report data. Research Design An observational study. Study Sample Ten adults hearing aid (HA) users. Data Collection and Analysis Experienced, bilateral HA users were recruited and fit with study HAs. The study HAs were equipped with real-time data loggers, an algorithm that logged the data generated by HAs (e.g., overall sound level, environment classification, and feature status including microphone mode and amount of gain reduction). The study HAs were also connected via Bluetooth to a smartphone app, which collected the real-time data logging data as well as presented the participants with EMA surveys about their listening environments and experiences. The participants were sent out to wear the HAs and complete surveys for 1 week. Real-time data logging was triggered when participants completed surveys and when participants ignored or snoozed surveys. Data logging data were used to estimate the effect of environmental characteristics on the likelihood of survey incompletion, and to predict participants' responses to survey questions in the instances of survey incompletion. Results Across the 10 participants, 715 surveys were completed and survey incompletion occurred 228 times. Mixed effects logistic regression models indicated that survey incompletion was more likely to happen in the environments that were less quiet and contained more speech, noise, and machine sounds, and in the environments wherein directional microphones and noise reduction algorithms were enabled. The results of survey response prediction further indicated that the participants could have reported more challenging environments and more listening difficulty in the instances of survey incompletion. However, the difference in the distribution of survey responses between the observed responses and the combined observed and predicted responses was small. Conclusion The present study indicates that EMA survey incompletion occurs systematically. Although survey incompletion could bias EMA self-report data, the impact is likely to be small.

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