Crowdsensing-Based Gamification for Collective Assistance for Post-Era of Coronavirus Epidemic in Community Living

2020 ◽  
Vol 2 (2) ◽  
pp. 54-64
Author(s):  
Renfei Luo ◽  
João Alexandre Lôbo Marques ◽  
Kok-Leong Ong ◽  
Simon Fong
Keyword(s):  
Public Health ◽  
Data Sharing ◽  
Video Game ◽  
Navigation System ◽  
Smart Phones ◽  
Community Living ◽  
Specific Location ◽  
Mutual Assistance ◽  
Information Navigation ◽  
Mobile Information

Crowdsensing exploits the sensing abilities offered by smart phones and users' mobility. Users can mutually help each other as a community with the aid of crowdsensing. The potential of crowdsensing has yet to be fully realized for improving public health. A protocol based on gamification to encourage data sharing and mutual assistance is proposed. The game is called “Lemmings,” which stands for location-based mutual and mobile information navigation system; it is based on a classical video game where a group of creatures have to work and win through the puzzle game together. This game includes an asynchronized messaging system where a player may proactively seek for answers or advice by depositing a question on the messaging server. The server will automatically disseminate the question, which is related to a specific location, to a group of users who are either within the proximity currently or have just recently been there. The users/players are encouraged to help each other in post-pandemic Corona virus period; karma scoring distinguishes the most helpful users in the community.

scholarly journals The truth must prevail: citizens’ rights to know the truth during the era of COVID-19

2020 ◽  
Author(s):  
Philip Joseph D Sarmiento ◽  
John Federick C Yap ◽  
Kevin Aldrin G Espinosa ◽  
Ria P Ignacio ◽  
Carisma A Caro
Keyword(s):  
Public Health ◽  
Data Sharing ◽  
Data Analytics ◽  
Data Driven ◽  
Short Report ◽  
Ordinary People ◽  
Health Crisis ◽  
Public Health Crisis

ABSTRACT In a recent short report, the necessity of sophisticated practices in gathering records that would facilitate data sharing yields data-driven analysis in time of COVID-19. Consequently, there is a need to present the truth in data analytics in the era of COVID-19. This paper discusses the urgent call for people handling the COVID-19 data to be ethically responsible in their handling, processing, and reporting that impacts the lives of ordinary people especially in this time of pandemic as public health crisis.

scholarly journals An Adaptive Federated Filter in Multi-source Fusion Information Navigation System

2018 ◽  
Vol 392 (6) ◽  
pp. 062195 ◽  
Author(s):  
Tang Luyang ◽  
Tang Xiaomei ◽  
Chen Huaming ◽  
Liu Xiaohui
Keyword(s):  
Navigation System ◽  
Information Navigation

Overview—Data: Finding and Using Information

2019 ◽  
pp. 161-162
Author(s):  
Brian C. Castrucci ◽  
Don W. Bradley
Keyword(s):  
Public Health ◽  
Resource Allocation ◽  
Electronic Health Records ◽  
Data Sharing ◽  
Causes Of Death ◽  
Health Benefits ◽  
Complete Data ◽  
Community Collaboration ◽  
Health Records ◽  
Improve Health

This chapter looks at the broader picture of this section of the book which is the uses, issues, benefits, and pitfalls of data in the goal of improving community collaboration for public health benefits. This section of the book, the chapter explains, explores what is happening to build the trust and accountability necessary for partnerships in which data sharing is at the center. Data on the causes of death and disease are necessary to drive well-informed, impactful resource allocation and policy decisions. As maintaining health has become more complicated, so has the need for more complete data. Electronic health records has digitized patient encounters, creating an unprecedented volume of data on disease. But, these data alone do not provide the information needed to improve health.

scholarly journals Electronic data sharing between public health department and clinical providers improves accuracy of HIV retention data

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S421-S422
Author(s):  
Jessica P Ridgway ◽  
Jessica Schmitt ◽  
Ellen Almirol ◽  
Monique Millington ◽  
Erika Harding ◽  
...  
Keyword(s):  
Public Health ◽  
Data Sharing ◽  
Retention In Care ◽  
Health Department ◽  
Birth Date ◽  
Hiv Positive ◽  
Public Health Department ◽  
Grant Recipient ◽  
Lost To Follow Up

Abstract Background Retention in care is critical for treatment and prevention of HIV. Many HIV care clinics measure retention rate, but data are often incomplete for patients who are classified as lost to follow-up but may be actually in care elsewhere, moved, or died. The Data to Care (D2C) initiative supports data sharing between health departments and HIV providers to confirm patient care status and facilitate reengagement efforts for out of care HIV patients. Methods The University of Chicago Medicine (UCM) provided an electronic list to the Chicago Department of Public Health (CDPH) of adult HIV-positive patients whose retention status was not certain. Retention in care was defined as at least 2 visits >90 days apart within the prior 12 months. CDPH matched this list of patients with data from the Chicago electronic HIV surveillance database. Matches were based on patient name, including alternative spellings and phonetics, and birth date. CDPH also cross-checked patient names with the CDC’s national enhanced HIV-AIDS Reporting System (eHARS) database. CDPH provided UCM with patient current care status, i.e., patient was in care elsewhere (as verified by lab data), moved out of state, or deceased. Results 780 HIV-positive patients received care in the UCM adult HIV clinic from January 1, 2013 to March 31, 2017. Of these, 360 were retained in care as of March 2017. We shared data with CDPH for 492 patients. Of these, 294 (59.8%) were matched, and 168 (34.1%) had a date of last medical care provided. See Table 1 for patient dispositions, before and after data sharing. 24 (13.4%) of patients believed to be lost to follow up according to UCM records were confirmed either transferred care or deceased according to health department data. Conclusion Data sharing between the health department and HIV providers can improve data accuracy regarding retention in care among people living with HIV. Disclosures J. P. Ridgway, Gilead FOCUS: Grant Investigator, Grant recipient; D. Pitrak, Gilead Sciences FOCUS: Grant Investigator, Grant recipient

scholarly journals Cross Sector Data Sharing: Necessity, Challenge, and Hope

2019 ◽  
Vol 47 (S2) ◽  
pp. 83-86 ◽  
Author(s):  
Cason Schmit ◽  
Kathleen Kelly ◽  
Jennifer Bernstein
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Law Enforcement ◽  
Data Sharing ◽  
Healthcare Services ◽  
Data Sources ◽  
Health Law ◽  
Set Up ◽  
Existing Data ◽  
Sector Data

Existing data sources have tremendous potential to inform public health activities. However, a patchwork of data protection laws impede data sharing efforts. Nevertheless, a data-sharing initiative in Peoria, IL was able to overcome challenges to set up a cross-sectoral data system to coordinate mental health, law enforcement, and healthcare services.

Peer-reviewed Public Health Journals

2015 ◽  
Vol 4 (3) ◽  
pp. 238
Author(s):  
Nora Mohammed Al-Aboud ◽  
Khalid Al Aboud ◽  
Ahmad Al Qurashi
Keyword(s):  
Public Health ◽  
Smart Phones ◽  
The Public ◽  
Health Domain ◽  
Health Field

Peer-reviewed Public Health journals are essential media for the workers in the public health field. There are already many periodicals published in the public health domain and still many new ones are being added. Journalism in public health is facing many changes and challenges. Technologies and smart phones applications in particular affected the pattern of publication and readership of these journals. This report shed some light on the current peer-reviewed periodicals in the public health.

scholarly journals Selected Aspects of Navigation System Synthesis for Increased Flight Safety, Protection of Human Lives, and Health

2020 ◽  
Vol 17 (5) ◽  
pp. 1550 ◽  
Author(s):  
Milan Džunda ◽  
Peter Dzurovčin ◽  
Ivan Koblen ◽  
Stanislav Szabo ◽  
Edina Jenčová ◽  
...  
Keyword(s):  
Public Health ◽  
Computer Technology ◽  
Navigation System ◽  
Measuring Equipment ◽  
Air Transport ◽  
Flight Safety ◽  
Navigation Systems ◽  
Safety Protection ◽  
Transport Safety ◽  
The Impact

Accurate navigation systems allow us to optimize the trajectory of flying objects and thus solve environmental problems in aviation and their impact on public health. In this paper, we present one of the methods of assessment of accuracy and resistance to interference of distance-measuring equipment (DME). By using computer technology, the method enables us to determine the potential but also the real error measuring the distance of the flying object from DME. The credibility of the respective results of the solution on the task of DME optimal rangefinder synthesis depends on the accuracy of the previous data used, i.e., mathematical models of the respective flying objects flight dynamics, useful signals, and their parameters and interference. DME systems have an impact on air transport safety, and therefore the impact of interference on their operation must be investigated.

scholarly journals Data Sharing and Global Public Health: Defining What We Mean by Data

2020 ◽  
Vol 2 ◽  
Author(s):  
Nina Schwalbe ◽  
Brian Wahl ◽  
Jingyi Song ◽  
Susanna Lehtimaki
Keyword(s):  
Public Health ◽  
Data Sharing ◽  
Global Public Health
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