COVID-19: access to information, health service, daily life facility and risk perception of foreigners during the coronavirus pandemic in South Korea

Introduction: The coronavirus disease outbreak has become a top global challenge. Critical issues have emerged regarding access to information, health services

[1]  Nasser O. Alshammari,et al.  Technology‐driven 5G enabled e‐healthcare system during COVID‐19 pandemic , 2021, IET Commun..

[2]  Min Wu,et al.  Big data driven COVID-19 pandemic crisis management: potential approach for global health , 2021, Archives of medical science : AMS.

[3]  Álex Escolà-Gascón,et al.  Measuring Psychosocial Reactions to COVID-19: The COVID Reaction Scales (COVID-RS) as a New Assessment Tool , 2020, Frontiers in Psychology.

[4]  M. Chang,et al.  Healthcare information technology convergence to effectively cope with the COVID-19 crisis , 2020, Health Policy and Technology.

[5]  H. White,et al.  Safe Interorganizational Health Information Exchange During the COVID-19 Pandemic , 2020, Journal of the American Medical Directors Association.

[6]  Z. Zang,et al.  The information impact of network media, the psychological reaction to the COVID-19 pandemic, and online knowledge acquisition: Evidence from Chinese college students , 2020, Journal of Innovation & Knowledge.

[7]  P. Jarzemski,et al.  Changing patterns of urologic emergency visits and admissions during the COVID-19 pandemic: a retrospective, multicenter, nationwide study , 2020, Archives of medical science : AMS.

[8]  Tsorng-Yeh Lee,et al.  Risk perception, knowledge, information sources and emotional states among COVID-19 patients in Wuhan, China , 2020, Nursing Outlook.

[9]  D. Schadendorf,et al.  COVID-19-Related Fear and Health-Related Safety Behavior in Oncological Patients , 2020, Frontiers in Psychology.

[10]  Radeef Chundakkadan,et al.  Information flow and COVID-19 recovery , 2020, World Development.

[11]  Airo Hino,et al.  COVID-19, digital privacy, and the social limits on data-focused public health responses , 2020, International Journal of Information Management.

[12]  Joshua Chiroma Gandi,et al.  COVID-19 Knowledge, Risk Perception, and Precautionary Behavior Among Nigerians: A Moderated Mediation Approach , 2020, Frontiers in Psychology.

[13]  M. Moon.  Fighting COVID‐19 with Agility, Transparency, and Participation: Wicked Policy Problems and New Governance Challenges , 2020, Public administration review.

[14]  Dean F Sittig,et al.  COVID-19 and the Need for a National Health Information Technology Infrastructure. , 2020, JAMA.

[15]  Huilan Xu,et al.  Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study , 2020, Journal of Medical Internet Research.

[16]  J. Newby,et al.  Public Perceptions of COVID-19 in Australia: Perceived Risk, Knowledge, Health-Protective Behaviors, and Vaccine Intentions , 2020, Frontiers in Psychology.

[17]  L. Blumberg,et al.  COVID-19–We urgently need to start developing an exit strategy , 2020, International Journal of Infectious Diseases.

[18]  K. Grint.  Leadership, Management and Command in the time of the Coronavirus , 2020, Leadership (London).

[19]  A. Bhagavathula,et al.  Knowledge and Perceptions of COVID-19 Among Health Care Workers: Cross-Sectional Study , 2020, JMIR public health and surveillance.

[20]  Laura Muñoz Fernández,et al.  [The responsibilities arising from the use of information and communication technologies in health professional practice]. , 2020, Anales de pediatria.

[21]  Zhanxiang Wang,et al.  Internet Hospitals Help Prevent and Control the Epidemic of COVID-19 in China: Multicenter User Profiling Study , 2020, Journal of medical Internet research.

[22]  P. Geldsetzer.  Use of Rapid Online Surveys to Assess People's Perceptions During Infectious Disease Outbreaks: A Cross-sectional Survey on COVID-19 , 2020, Journal of medical Internet research.

[23]  Rajib Shaw,et al.  Governance, technology and citizen behavior in pandemic: Lessons from COVID-19 in East Asia , 2020, Progress in Disaster Science.

[24]  Johannes Abeler,et al.  COVID-19 Contact Tracing and Data Protection Can Go Together , 2020, JMIR mHealth and uHealth.

[25]  E. Gu,et al.  Crippled community governance and suppressed scientific/professional communities: a critical assessment of failed early warning for the COVID-19 outbreak in China , 2020 .

[26]  Xiaofan Zhao,et al.  Experts’ conservative judgment and containment of COVID-19 in early outbreak , 2020 .

[27]  Jin Hui,et al.  One Health approach and Coronavirus Disease 2019 , 2020, Human vaccines & immunotherapeutics.

[28]  M. Lipsitch,et al.  Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China , 2020, Nature Medicine.

[29]  R. Brook,et al.  Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing. , 2020, JAMA.

[30]  Wenjing Pian,et al.  Consumer health information needs: A systematic review of measures , 2020, Inf. Process. Manag..

[31]  C. Viboud,et al.  Early epidemiological analysis of the coronavirus disease 2019 outbreak based on crowdsourced data: a population-level observational study , 2020, The Lancet Digital Health.

[32]  Claudia Zanini,et al.  Information seeking behavior and perceived health literacy of family caregivers of persons living with a chronic condition. The case of spinal cord injury in Switzerland. , 2020, Patient education and counseling.

[33]  Heui Sug Jo,et al.  What quality factors matter in enhancing the perceived benefits of online health information sites? Application of the updated DeLone and McLean Information Systems Success Model , 2020, Int. J. Medical Informatics.

[34]  Andrew Georgiou,et al.  Advancing health information technology roadmaps in long term care , 2020, Int. J. Medical Informatics.

[35]  M. Tormo,et al.  Clinical significance of Pneumocystis jirovecii DNA detection by real-time PCR in hematological patient respiratory specimens , 2020, Journal of Infection.

[36]  L. Wigfall,et al.  Use of Digital Health Information for Health Information Seeking Among Men Living With Chronic Disease: Data From the Health Information National Trends Survey , 2020, American journal of men's health.

[37]  Iseult Lynch,et al.  Best practice in reporting corona studies: Minimum information about Nanomaterial Biocorona Experiments (MINBE). , 2019, Nano today.

[38]  J. Caballero,et al.  The role of self-efficacy, flexibility, and gender in pharmacy students' health information technology readiness. , 2019, Currents in pharmacy teaching & learning.

[39]  Lynsey J. Brown,et al.  E-health: psychosocial challenges for South Australian rural mental health consumers. , 2019, Rural and remote health.

[40]  Sandra L. Faulkner,et al.  Online Health-Information Seeking Among Older Populations: Family Influences and the Role of the Medical Professional , 2019, Health communication.

[41]  Md. Anwarul Islam,et al.  Information-seeking behaviour of undergraduate students: A developing country perspective , 2019, IFLA Journal.

[42]  Xiaocong Yang,et al.  Examining income-related inequality in health literacy and health-information seeking among urban population in China , 2019, BMC Public Health.

[43]  L. Shahrzadi,et al.  A survey on adolescent health information seeking behavior related to high-risk behaviors in a selected educational district in Isfahan , 2018, PloS one.

[44]  L. van Dijk,et al.  Patients’ Online Information-Seeking Behavior Throughout Treatment: The Impact on Medication Beliefs and Medication Adherence , 2018, Health communication.

[45]  S. Ramsey,et al.  Information Seeking and Satisfaction with Information Sources Among Spouses of Men with Newly Diagnosed Local-Stage Prostate Cancer , 2018, Journal of Cancer Education.

[46]  Joost Broekens,et al.  Gender differences in emotion perception and self-reported emotional intelligence: A test of the emotion sensitivity hypothesis , 2018, PloS one.

[47]  Wura Jacobs,et al.  Health information seeking in the digital age: An analysis of health information seeking behavior among US adults , 2017 .

[48]  R. Kravitz,et al.  Physician training in self-efficacy enhancing interviewing techniques (SEE IT): Effects on patient psychological health behavior change mediators. , 2016, Patient education and counseling.

[49]  Akram Ahmad,et al.  Knowledge and attitude of healthcare workers about middle east respiratory syndrome in multispecialty hospitals of Qassim, Saudi Arabia , 2014, BMC Public Health.

[50]  A. F. Caldas‐Júnior,et al.  Risk factors for temporomandibular disorder: Binary logistic regression analysis , 2013, Medicina oral, patologia oral y cirugia bucal.

[51]  A. McDaniel,et al.  Health Literacy and Its Association With the Use of Information Sources and With Barriers to Information Seeking in Clinic-Based Pregnant Women , 2009, Health care for women international.

[52]  D. Hosmer,et al.  Applied Logistic Regression , 1991 .

[53]  B. Wimmer,et al.  Health information overload among health consumers: A scoping review. , 2019, Patient education and counseling.

[54]  John Cotton,et al.  Fundamental statistics in psychology and education. 6th ed. , 1978 .

[55]  W. Holtzman.  Fundamental statistics in psychology and education. , 1951 .