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Frontiers | Factors Associated With Highest Symptoms of Anxiety During COVID-19: Cross-Cultural Study of 23 Countries

The COVID-19 restrictions have impacted people's lifestyles in all spheres (social, psychological, political, economic and others). This study explored which factors affected the level of anxiety during the time of the first wave of COVID-19 and subsequent quarantine in a substantial proportion of 23 countries, included in this study. The data was collected from May to August 2020 (5 June 2020). The sample included 15,375 participants from 23 countries: (seven from Europe: Belarus, Bulgaria, Croatia, Hungary, Italy, Romania, Russia; 11 from West, South and Southeast Asia: Armenia, India, Indonesia, Iran, Iraq, Jordan, Malaysia, Pakistan, Saudi Arabia, Thailand, Turkey; two African: Nigeria and Tanzania; and three from North, South, and Central America: Brazil, Canada, USA). Level of anxiety was measured by means of the 7-item Generalized Anxiety Disorder Scale (GAD-7) and the 20-item first part of The State-Trait Anxiety Inventory (STAI) State Anxiety Inventory (SAI). Respondents w ....

Vologodskaya Oblast , United States , Hong Kong , Chiang Mai , Perifereia Stereas Elladas , Kurganskaya Oblast , Yaroslavskaya Oblast , Eteläuomen Läi , Perifereia Anatolikis Makedonias Kai Thrakis , Jordan General , Khorasane Janubi , Vatican City , Saudi Arabia , Sierra Leone , United Kingdom , King Saud University , Ar Riya , New Zealand , South Korea , Krasnodarskiy Kray , Mecklenburg Vorpommern , Noord Brabant , Holy See , States Lee , Bahammam Maha , Ghanei Gheshlagh ,

Frontiers | Research on Spatial-temporal Spread and Risk Profile of the COVID-19 Epidemic Based on Mobile Phone Trajectory Data

The COVID-19 epidemic poses a significant challenge to the operation of society and the resumption of work and production. How to quickly track the resident location and activity trajectory of the population, and identify the spread risk of COVID-19 in geospatial space has important theoretical and practical significance for controlling the spread of the virus on a large scale. In this study we take the geographical community as the research object, and use the mobile phone trajectory data to construct the spatiotemporal profile of the potential high-risk population. First, by using the spatiotemporal data collision method, identify and recover the trajectories of the people who were in the same area with the confirmed patients during the same time. Then, based on the range of activities of both cohorts (the confirmed cases and the potentially infected groups), we analyze the risk level of the relevant places and evaluate the scale of potential spread. Finally, we calculate the probabi ....

United States , Monte Carlo , Johns Hopkins University , J University Electr , Lancet Global Health , China Map Publishing Group , Public Health , Sinomaps Press Co Ltd , Health Commission Of Sichuan Province , Sichuan Chuanda Zhisheng System Integration Co Ltd , Health Commission , Tsinghua University , Chengdu University Of Technology , Jiaotong University , Health Care Manag , Research Methods , Development Program Of China , Wuhan University , Sichuan Provincial Health , J Shaanxi Normal University , National Key Research , Ncov Emergency Project Of Sichuan University , Population Health Sci , Chengdu Fangwei Technology Co Ltd , Community Health , Research Data ,