Self-Reporting Individual Movement Data During a Pandemic: Survey Study (Preprint)

2020 ◽  
Author(s):  
Yumiko Sakamoto ◽  
MD Hosne Al Walid Shaiket ◽  
Fouad Alallah ◽  
Kenny Hong ◽  
Pourang Irani
Keyword(s):  
Data Collection ◽  
Infectious Diseases ◽  
Data Sharing ◽  
Personal Data ◽  
Survey Study ◽  
Gps Data ◽  
Movement Data ◽  
Short Survey ◽  
Novel Approaches

BACKGROUND A short survey explored a possibility to use technology to contain highly infectious diseases through GPS data sharing. Since privacy is often the very first hurdle that many researchers need to clear in personal data collection, we probed one of the basic and yet crucial questions: what do people feel about sharing GPS data to mitigate the spread of highly infectious diseases? Through M-Turk, 484 people completed our survey. The vast majority of them (73%) felt it is necessary to share their own GPS data if they were infected with the disease. Similarly, 77% of them felt it is necessary for others to share their GPS data when they are infected, as long as their identity was protected. Thus, our results show that people are, very often, willing to share their GPS data in an effort to contain highly infectious diseases such as COVID-19, as long as their privacy is protected. Our conclusion indicates the great potential to use novel approaches to tackle with highly infectious diseases such as COVID-19. OBJECTIVE To explore a possibility to use technology to contain highly infectious diseases through GPS data sharing. METHODS Survey Study RESULTS The vast majority of our participants felt it is necessary to share their own GPS data if they were infected with the disease. CONCLUSIONS Our study showed how willing and motivated people are to try to contain highly infectious diseases.

scholarly journals Getting Started Creating Data Dictionaries: How to Create a Shareable Data Set

2021 ◽  
Vol 4 (1) ◽  
pp. 251524592092800
Author(s):  
Erin M. Buchanan ◽  
Sarah E. Crain ◽  
Ari L. Cunningham ◽  
Hannah R. Johnson ◽  
Hannah Stash ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Sharing ◽  
Search Engine ◽  
Web Applications ◽  
Data Sets ◽  
Data Dictionary ◽  
Data Set ◽  
Entire Process ◽  
Shared Data ◽  
Source Data

As researchers embrace open and transparent data sharing, they will need to provide information about their data that effectively helps others understand their data sets’ contents. Without proper documentation, data stored in online repositories such as OSF will often be rendered unfindable and unreadable by other researchers and indexing search engines. Data dictionaries and codebooks provide a wealth of information about variables, data collection, and other important facets of a data set. This information, called metadata, provides key insights into how the data might be further used in research and facilitates search-engine indexing to reach a broader audience of interested parties. This Tutorial first explains terminology and standards relevant to data dictionaries and codebooks. Accompanying information on OSF presents a guided workflow of the entire process from source data (e.g., survey answers on Qualtrics) to an openly shared data set accompanied by a data dictionary or codebook that follows an agreed-upon standard. Finally, we discuss freely available Web applications to assist this process of ensuring that psychology data are findable, accessible, interoperable, and reusable.

scholarly journals Towards Self-Awareness Privacy Protection for Internet of Things Data Collection

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Kok-Seng Wong ◽  
Myung Ho Kim
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Personal Data ◽  
Self Awareness ◽  
Privacy Concern ◽  
Goods And Services ◽  
Data Collector ◽  
Inaccurate Data ◽  
Secure Protocol ◽  
The Internet Of Things

The Internet of Things (IoT) is now an emerging global Internet-based information architecture used to facilitate the exchange of goods and services. IoT-related applications are aiming to bring technology to people anytime and anywhere, with any device. However, the use of IoT raises a privacy concern because data will be collected automatically from the network devices and objects which are embedded with IoT technologies. In the current applications, data collector is a dominant player who enforces the secure protocol that cannot be verified by the data owners. In view of this, some of the respondents might refuse to contribute their personal data or submit inaccurate data. In this paper, we study a self-awareness data collection protocol to raise the confidence of the respondents when submitting their personal data to the data collector. Our self-awareness protocol requires each respondent to help others in preserving his privacy. The communication (respondents and data collector) and collaboration (among respondents) in our solution will be performed automatically.

scholarly journals Cattle trade between and within biomes in the state of Mato Grosso, Brazil

2018 ◽  
Vol 38 (11) ◽  
pp. 2023-2028
Author(s):  
Rísia L. Negreiros ◽  
José H.H. Grisi-Filho ◽  
Ricardo A. Dias ◽  
Fernando Ferreira ◽  
Valéria S.F. Homem ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Animal Movement ◽  
Control Strategies ◽  
The State ◽  
Disease Spread ◽  
Mato Grosso ◽  
Movement Data ◽  
Cattle Movements ◽  
Increased Risk ◽  
And Control

ABSTRACT: The analysis of animal movement patterns may help identify farm premises with a potentially high risk of infectious disease introduction. Farm herd sizes and bovine movement data from 2007 in the state of Mato Grosso, Brazil, were analyzed. There are three different biomes in Mato Grosso: the Amazon, Cerrado, and Pantanal. The analysis of the animal trade between and within biomes would enable characterization of the connections between the biomes and the intensity of the internal trade within each biome. We conducted the following analyses: 1) the concentration of cattle on farm premises in the state and in each biome, 2) the number and relative frequency of cattle moved between biomes, and 3) the most frequent purposes for cattle movements. Twenty percent (20%) of the farm premises had 81.15% of the herd population. Those premises may be important not only for the spread of infectious diseases, but also for the implementation of surveillance and control strategies. Most of the cattle movement was intrastate (97.1%), and internal movements within each biome were predominant (88.6%). A high percentage of movement from the Pantanal was to the Cerrado (48.6%), the biome that received the most cattle for slaughter, fattening and reproduction (62.4%, 56.8%, and 49.1% of all movements for slaughter, fattening, and reproduction, respectively). The primary purposes for cattle trade were fattening (43.5%), slaughter (31.5%), and reproduction (22.7%). Presumably, movements for slaughter has a low risk of disease spread. In contrast, movements for fattening and reproduction purposes (66.2% of all movements) may contribute to an increased risk of the spread of infectious diseases.

scholarly journals Development of Urban Driving Cycle with GPS Data Post Processing

2016 ◽  
Vol 28 (4) ◽  
pp. 353-364 ◽  
Author(s):  
Peter Lipar ◽  
Irena Strnad ◽  
Martin Česnik ◽  
Tomaž Maher
Keyword(s):  
Data Collection ◽  
Urban Area ◽  
Measurement Data ◽  
Driving Cycle ◽  
Gps Data ◽  
Post Processing ◽  
The Difference ◽  
Large Random Sample ◽  
Representative Area ◽  
Development Methods

This paper presents GIS-based methodology for urban area driving cycle construction. The approach reaches beyond the frames of usual driving cycle development methods and takes into account another perspective of data collection. Rather than planning data collection, the approach is based on available in-vehicle measurement data post processing using Geographic Information Systems to manipulate the excessive database and extract only the representative and geographically limited individual trip data. With such data post processing the data was carefully adjusted to include only the data that describe representative driving in Ljubljana urban area. The selected method for the driving cycle development is based on searching for the best microtrips combination while minimizing the difference between two vectors; one based on generated cycle and the other on the database. Accounting for a large random sample of actual trip data, our approach enables more representative area-specific driving cycle development than the previously used techniques.

scholarly journals Data Comparison between Elite and Amateur Soccer Players by 20 Hz GPS Data Collection

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Riccardo Izzo ◽  
Angelo De Vanna ◽  
Ciro Hosseini Varde’i
Keyword(s):  
Data Collection ◽  
Soccer Players ◽  
Gps Data ◽  
Data Comparison

scholarly journals Interrelationships Between Patients’ Data Tracking Practices, Data Sharing Practices, and Health Literacy: Onsite Survey Study

10.2196/18937 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e18937
Author(s):  
Yuhan Luo ◽  
Chi Young Oh ◽  
Beth St Jean ◽  
Eun Kyoung Choe
Keyword(s):  
Health Care ◽  
Health Literacy ◽  
Data Sharing ◽  
Health Care Providers ◽  
Clinic Visit ◽  
Survey Study ◽  
Sufficient Information ◽  
Full Potential ◽  
Care Providers ◽  
Data Tracking

Background Although the use of patient-generated data (PGD) in the optimization of patient care shows great promise, little is known about whether patients who track their PGD necessarily share the data with their clinicians. Meanwhile, health literacy—an important construct that captures an individual’s ability to manage their health and to engage with their health care providers—has often been neglected in prior studies focused on PGD tracking and sharing. To leverage the full potential of PGD, it is necessary to bridge the gap between patients’ data tracking and data sharing practices by first understanding the interrelationships between these practices and the factors contributing to these practices. Objective This study aims to systematically examine the interrelationships between PGD tracking practices, data sharing practices, and health literacy among individual patients. Methods We surveyed 109 patients at the time they met with a clinician at a university health center, unlike prior research that often examined patients’ retrospective experience after some time had passed since their clinic visit. The survey consisted of 39 questions asking patients about their PGD tracking and sharing practices based on their current clinical encounter. The survey also contained questions related to the participants’ health literacy. All the participants completed the survey on a tablet device. The onsite survey study enabled us to collect ecologically valid data based on patients’ immediate experiences situated within their clinic visit. Results We found no evidence that tracking PGD was related to self-reports of having sufficient information to manage one’s health; however, the number of data types participants tracked positively related to their self-assessed ability to actively engage with health care providers. Participants’ data tracking practices and their health literacy did not relate to their data sharing practices; however, their ability to engage with health care providers positively related to their willingness to share their data with clinicians in the future. Participants reported several benefits of, and barriers to, sharing their PGD with clinicians. Conclusions Although tracking PGD could help patients better engage with health care providers, it may not provide patients with sufficient information to manage their health. The gaps between tracking and sharing PGD with health care providers call for efforts to inform patients of how their data relate to their health and to facilitate efficient clinician-patient communication. To realize the full potential of PGD and to promote individuals’ health literacy, empowering patients to effectively track and share their PGD is important—both technologies and health care providers can play important roles.

scholarly journals Primary caregivers attitude towards patients with mental illness: a survey study in psychiatric centre, SMS medical college, Jaipur, Rajasthan, India

2021 ◽  
Author(s):  
Tulika Sharma ◽  
Paramjeet Singh ◽  
Himanshu Phulwari
Keyword(s):  
Mental Illness ◽  
Urban Areas ◽  
Primary Caregivers ◽  
Personal Data ◽  
Survey Study ◽  
P Value ◽  
Medical College ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Significant Difference

The purpose of the present study was to find out the attitudes of primary caregivers towards mental illness. The hypothesis was “there would be a significant difference in the attitude of primary caregivers towards mental illness by people belonging to rural and urban areas.” The sample consists of 50 subjects (25 females and 25 males out of it, 25 were from the rural population & 25 were from the urban population). The age group consists of the participants was from 18 years to 65 years, and their education qualification was not an obligation. Personal data consist of demographic information was also collected. The scale “The Community Attitudes Towards Mental Illness scale (CAMI)” was developed by Taylor and Dear in 1981, was used to assess the attitude towards mental illness of the subjects. For statistical analysis, correlation and student t-test were used for the p-value and to found the differences in the attitudes of primary caregivers. The results showed variances in the primary caregivers’ attitudes between the rural area and the urban area.

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