scholarly journals EpidemiXs: Harnessing digital technology in the fight against COVID-19 and the associated infodemic

2021 ◽  
pp. 1-4
Author(s):  
Jeannine Lemaire ◽  
Elsa Ramil ◽  
Veronique Ines Thouvenot ◽  
Jordi Serrano Pons
Keyword(s):  
Data Collection ◽  
Digital Technology ◽  
General Public ◽  
Healthcare Workers ◽  
Scientific Community ◽  
Open Data ◽  
Digital Tools ◽  
International Recognition ◽  
Data Collection And Analysis ◽  
Rapid Deployment

BACKGROUND: EpidemiXs is an innovative ecosystem of digital tools centralizing official and validated information on COVID-19 for healthcare workers and the general public in a single hub. OBJECTIVE: The vision of EpidemiXs is to foster collaboration between researchers, institutions and individuals to promote “open data” in order to enrich the scientific community and further accelerate science in the fight against COVID-19. METHODS: Through its set of solutions, EpidemiXs Info, EpidemiXs TV and EpidemiXs Studies, this innovative ecosystem contributes to advancing collaborations, data collection and analysis, and helps find funders. RESULTS: EpidemiXs was launched in March 2020 in Spain with 30 healthcare institutions and rapidly reached close to 1 million users and 2 million views. EpidemiXs gained international recognition when it was awarded the Barcelona Health Hub Awards (BHHAwards) 2020 of the category “Best Startup Initiative to help tackle COVID-19”. CONCLUSION: EpidemiXs has proven the efficiency of the rapid deployment of digital tools in times of COVID-19.

Psychosocial Impact of Covid-19 Pandemic on Frontline Healthcare Workers in Pakistan: A Cross-Sectional Study

2020 ◽  
Author(s):  
Quratul-Ain Zafar
Keyword(s):  
Data Collection ◽  
Emotional Distress ◽  
Healthcare Workers ◽  
Cross Sectional Study ◽  
Psychosocial Impact ◽  
Control Group ◽  
Study Group ◽  
Sectional Study ◽  
Cross Sectional ◽  
Frontline Healthcare Workers

Objective: The purpose of this study was to evaluate the impact of the COVID-19 pandemic on frontline healthcare workers in Pakistan in terms of psychological factors emotional distress, insomnia, and burnout. Study Design: Observational cross-sectional study. Place and Duration of Study: This study was conducted at different hospitals across Pakistan and data collection was carried out from 15th June 2020 till 15th August 2020. Material and Methods: This was a questionnaire-based study aiming to compare the levels of burnout and emotional distress between frontline COVID-19 and non-COVID-19 healthcare workers. Any physician, nurse, and other healthcare workers were recruited from emergency care units and Covid-19 care units (target group), and non-COVID-19 care units (control group). Participation was voluntary and participants had to complete self-reported questionnaires and scales. A mixed-mode data collection was carried out, either in paper or web-based form to ensure maximum participation. Results: The independent t-test showed a statistically significant difference between the two groups regarding depression, stress, and insomnia. The study group showed higher scores for these factors than the control group. Chi-square test of association revealed significant scores of burnout and professional fulfillment in both groups. There was a higher prevalence of burnout in the study group than in the control group. Conclusion: This study concludes that there was a significant psychosocial impact of the Covid-19 pandemic in the frontline healthcare workers measured in terms of emotional distress, insomnia, and burnout.

scholarly journals Total SciComm: A Strategy for Communicating Open Science

Publications ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 31
Author(s):  
Manh-Toan Ho ◽  
Manh-Tung Ho ◽  
Quan-Hoang Vuong
Keyword(s):  
Social Media ◽  
Science Communication ◽  
Scientific Community ◽  
Open Data ◽  
Open Science ◽  
Central Idea ◽  
Retracted Article ◽  
Scientific Ideas

This paper seeks to introduce a strategy of science communication: Total SciComm or all-out science communication. We proposed that to maximize the outreach and impact, scientists should use different media to communicate different aspects of science, from core ideas to methods. The paper uses an example of a debate surrounding a now-retracted article in the Nature journal, in which open data, preprints, social media, and blogs are being used for a meaningful scientific conversation. The case embodied the central idea of Total SciComm: the scientific community employs every medium to communicate scientific ideas and engages all scientists in the process.

Development of a DNP measurement grid to increase the rigor of doctor of nursing practice students' data collection and analysis methods

2020 ◽  
Vol 36 (6) ◽  
pp. 666-672
Author(s):  
Linda L. Costa ◽  
Debra Bingham ◽  
Carla L. Storr ◽  
Margaret Hammersla ◽  
Jeffrey Martin ◽  
...  
Keyword(s):  
Data Collection ◽  
Nursing Practice ◽  
Doctor Of Nursing Practice ◽  
Analysis Methods ◽  
Data Collection And Analysis

scholarly journals Loneliness Among the Elderly in Rural Contexts: A Mixed-Method Study Protocol

2021 ◽  
Vol 20 ◽  
pp. 160940692199686
Author(s):  
Borja Rivero Jiménez ◽  
David Conde-Caballero ◽  
Lorenzo Mariano Juárez
Keyword(s):  
Data Collection ◽  
Mixed Method ◽  
Rural Areas ◽  
Population Group ◽  
The Elderly ◽  
Interaction Patterns ◽  
Structured Interviews ◽  
Strict Adherence ◽  
Data Collection And Analysis ◽  
Technological Tools

Loneliness among the elderly has become a pressing issue in Western societies. In the Spanish context, the problem of the so-called “empty” Spain disproportionately affects this population group—elderly individuals living in rural areas with low population density, and therefore at higher risk of social exclusion and isolation. We introduce here a mixed-method, quantitative-qualitative research protocol, triangulated with technological tools, designed to improve both data acquisition and subsequent data analysis and interpretation. This study will take place in a rural locality in the Extremadura region (Spain), chosen according to a particular socio-demographic profile. The De Jong Gierveld Loneliness Scale will be used on a cohort of 80 people over 65 years old. Within this cohort, a smaller sample of 20–30 individuals will be selected for semi-structured interviews about their beliefs and experiences of loneliness. Finally, data gathered from technological tools (smartbands, Bluetooth sensors) will allow us to monitor social interactions and to map daily loneliness/interaction patterns. Data will be triangulated by analyzing and comparing the empirical material gathered through these different methods and tools. Strict adherence to ethical standards for data protection and handling will be essential through data collection and analysis. As well as providing insights into the phenomenon of loneliness in old age, the use of different methods and tools for data collection will provide the basis for an epistemological reflection on the scope and limits of each one of these methods.

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