Document Type : Original Article
Authors
- . Taufik Edi Rahmat 1
- . Saqlain Raza 2
- . Hasan Zahid 3
- . Jaffar Abbas 4
- . Fatimah Azzahraa Mohd Sobri 5
- . Shehla Najib Sidiki 6
1 Department of Economics and Business, Fakultas Ekonomi dan Bisnis Universitas Sultan Ageng Tirtayasa, Serang, Banten, Indonesia
2 Faculty of Management Sciences, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad, Pakistan
3 Faculty of Management Sciences, Riphah International University, Islamabad, Pakistan
4 Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai China, and School of Media and Communication, Shanghai Jiao Tong University, Shanghai, China
5 School of Technology Management and Logistics, College of Business, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah Darul Aman, Malaysia
6 Faculty of Management Sciences, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Karachi, Pakistan
Abstract
BACKGROUND: The advent of the pandemic COVID‑19 has resulted in a global crisis that resulted
in the closure of universities and educational institutions worldwide. This study aims to explore the
determinants of students’ intention towards e‑library services usage amid the challenging time of the
COVID‑19 pandemic. This paper reviews the technology‑oriented individual attitude based on four
dimensions of the technology readiness 2.0 index factors, which affect medical students’ perspectives.
MATERIALS AND METHODS: The authors provided a self‑administered questionnaire to medical
students to investigate their e‑library adoption attitude during the COVID‑19 crisis. The authors
distributed 542 questionnaires, received 361 complete responses and analyzed the data through path
modeling/partial least squares structural equations modeling technique (PLS‑SEM) with the smart
PLS software version 3.3.3. The structural equation‑modelling tool permits the estimation of results.
RESULTS: The main finding revealed that medical students have a positive and explicit approach
to use the services available at the e‑library. Technology use and online services helped students
continue their educational needs in the advent of the current pandemic COVID‑19. Attitude and
subjective norms have significant influence and are strong predictors of intention. However, due to
inadequate support for the government side, the perceived behavioural control has an insignificant
impact on intention. This paper indicated one of the pioneers investigating the determinants of e‑library
adoption among medical students based on technology‑oriented personality traits, employing the four
dimensions of the technology readiness 2.0 index during the challenges of the COVID‑19 outbreak.
CONCLUSION: The study’s findings provide useful insight that offers valuable insights to implement
specific strategies from the government officials to address medical students’ uncertainties and
increase the technology adoption amid the COVID‑19 pandemic in medical education for developing
nations.
Keywords
- Acheampong E, Agyemang FG. Enhancing academic library
services provision in the distance learning environment with
mobile technologies. J Acad Librariansh 2021;47:102279.
2. Pinho C, Franco M, Mendes L. Exploring the conditions of success
in e‑libraries in the higher education context through the lens of
the social learning theory. Inf Manage 2020;57:103208.
3. Subramaniam M, Hoffman KM, Davis K, Pitt C. Designing a
connected learning toolkit for public library staff serving youth
through the design-based implementation research method.
Library & Information Science Research. 2021;43(1):101074.
4. Alrubaye H, Mkaouer MW, Khokhlov I, Reznik L, Ouni A,
McGoff J. Learning to recommend third‑party library migration
opportunities at the API level. Applied Soft Computing.
2020;90:106140.
5. Lau KSN, Lo P, Chiu DKW, Ho KKW, Jiang T, Zhou Q, Allard B.
Library and learning experiences turned mobile: A comparative
study between LIS and non-LIS students. The Journal of Academic
Librarianship, 2020;46:102103. doi:10.1016/j.acalib.2019.102103.
6. Sherriff G, Benson D, Atwood GS. Practices, policies, and
problems in the management of learning data: A survey of
libraries’ use of digital learning objects and the data they create.
J Acad Librariansh 2019;45:102‑9.
7. Hossain MA, Ferdousi R, Alhamid MF. Knowledge‑driven
machine learning‑based framework for early‑stage disease
risk prediction in edge environment. J Parallel Distrib Comput
2020;146:25‑34.
8. Dessì D, Osborne F, Reforgiato Recupero D, Buscaldi D, Motta E.
Generating knowledge graphs by employing Natural Language
Processing and Machine Learning techniques within the scholarly
domain. Future Generation Computer Systems. 2021;116:253-264.
9. Mills K, Roper F, Cesare S. Accelerating student learning in
communication and research skills: The adoption of adaptive
learning technologies for scenario‑based modules. In: Atkinson J,
editor. Technology, Change and the Academic Library, Chandos
Publishing, Oxford, UK; 2021. p. 75‑84.
10. Zakharov A, Bondarenko O. Social status and social learning.
Journal of Behavioral and Experimental Economics. 2021;90:101647.
11. Allison D, DeFrain E, Hitt BD, Tyler DC. Academic library as
learning space and as collection: A learning commons’ effects
on collections and related resources and services. The Journal of
Academic Librarianship. 2019;45(3):305‑314.
12. Li X, Zhu R, Ye H, Jiang C, Benslimane A. MetaInjury:
Meta‑learning framework for reusing the risk knowledge of
different construction accidents. Safety Science. 2021;140:105315.
13. Shuja KH, Aqeel M, Jaffar A, Ahmed A. COVID‑19 pandemic and
impending global mental health implications. Psychiatr Danub
2020;32:32‑5.
14. Shuja KH, Shahidullah, Aqeel M, Khan EA, Abbas J. Letter to
highlight the effects of isolation on elderly during COVID‑19
outbreak. Int J Geriatr Psychiatry 2020;35:1477‑8.
15. Aqeel M, Abbas J, Shuja KH, et al. The Influence of Illness
Perception, Anxiety and Depression Disorders on Students Mental
Health during COVID‑19 Outbreak in Pakistan: A Web‑Based
Cross‑Sectional Survey. International Journal of Human Rights
in Healthcare. 2021;14.1‑20
16. Su Z, McDonnell D, Wen J, Kozak M, Abbas J, Šegalo S, et al.
Mental health consequences of COVID‑19 media coverage: The
need for effective crisis communication practices. Global Health 2021;17:4.
17. Izuagbe R, Ibrahim NA, Ogiamien LO, et al. Effect of perceived
ease of use on librarians' e-skills: Basis for library technology
acceptance intention. Library & Information Science Research.
2019;41(3):100969
18. Jang M, Aavakare M, Nikou S, Kim S. The impact of literacy on
intention to use digital technology for learning: A comparative
study of Korea and Finland. Telecommunications Policy.
2021;45(10):102154.
19. Lebni JY, Toghroli R, Abbas J, NeJhaddadgar N, Salahshoor MR,
Mansourian M, et al. A study of internet addiction and its effects
on mental health: A study based on Iranian University Students.
J Educ Health Promot 2020;9:205.
20. Fattahi E, Solhi M, Abbas J, Kasmaei P, Rastaghi S, Pouresmaeil M,
et al. Prioritization of needs among students of University of
Medical Sciences: A needs assessment. J Educ Health Promot
2020;9:57.
21. Abbas J, Aman J, Nurunnabi M, Bano S. The Impact of Social
Media on Learning Behavior for Sustainable Education: Evidence
of Students from Selected Universities in Pakistan. Sustainability.
2019; 11:1683.
22. NeJhaddadgar N, Ziapour A, Zakkipour G, Abbas J, Abolfathi M,
Shabani M. Effectiveness of telephone‑based screening and triage
during COVID‑19 outbreak in the promoted primary healthcare
system: a case study in Ardabil province, Iran. Z Gesundh Wiss.
2020;29:1‑6.
23. Lebni JY, Toghroli R, Abbas J, et al. Nurses' Work-Related
Quality of Life and Its Influencing Demographic Factors at
a Public Hospital in Western Iran: A Cross-Sectional Study.
International Quarterly of Community Health Education.
2020;41:272684X20972838.
24. Anjum MN, Xiuchun B, Abbas J, Shuguang Z, McMillan D.
Analyzing predictors of customer satisfaction and assessment
of retail banking problems in Pakistan. Cogent Business &
Management. 2017;4(1):1338842.
25. Su Z, McDonnell D, Cheshmehzangi A, Abbas J, Li X, Cai Y.
The promise and perils of Unit 731 data to advance COVID‑19
research. BMJ Global Health. 2021;6 (5):e004772.
26. Furner M, Islam MZ, Li C‑T. Knowledge discovery and
visualisation framework using machine learning for music
information retrieval from broadcast radio data. Expert Systems
with Applications. 2021;182:115236.
27. CidralWA, Oliveira T, Di Felice M, Aparicio M. E‑learning success
determinants: Brazilian empirical study. Computers & Education.
2018;122:273‑290.
28. Meskhi B, Ponomareva S, Ugnich E. E‑learning in higher inclusive
education: needs, opportunities and limitations. International
Journal of Educational Management. 2019;33 (3):424‑437.
29. Atkinson J. Technology and change management in academic
libraries: An overview and literature review. In: Atkinson J,
editor. Technology, Change and the Academic Library. Oxford,
UK.: Chandos Publishing; 2021. p. 11‑32.
30. Trappey A, Trappey CV, Hsieh A. An intelligent patent
recommender adopting machine learning approach for natural
language processing: A case study for smart machinery
technology mining. Technol Forecast Soc Change 2021;164:120511.
31. Anjaria K. Negation, and entropy: Effectual knowledge
management equipment for learning organizations. Expert Syst
Appl 2020;157:113497.
32. Islam MS, Kunifuji S, Hayama T, Miura M.Towards exploring a
global scenario of e‑learning in library and information science
schools. The International Information & Library Review. 2011;
43:15‑22.
33. Al‑Emran M, Mezhuyev V, Kamaludin A. Towards a conceptual
model for examining the impact of knowledge management
factors on mobile learning acceptance. Technol Soc 2020;61:101247.
34. Rafique GM, Mahmood K, Warraich NF, Rehman SU. Readiness
for Online Learning during COVID-19 pandemic: A survey of
Pakistani LIS students. The Journal of Academic Librarianship.
2021;47(3):102346.
35. Gray AC, Steel A, Adams J. Complementary medicine
students’ perceptions, perspectives, and experiences of learning
technologies. A survey conducted in the US and Australia. Eur J
Integr Med 2021;42:101304.
36. Xu F, Du JT. Examining differences and similarities between
graduate and undergraduate students’ user satisfaction with
digital libraries. J Acad Librariansh 2019;45:102072.
37. Atkinson J, Reflections on technology, change, and academic
libraries. In: Atkinson J, editor. Technology, Change and the
Academic Librar. Oxford, UK.: Chandos Publishing; 2021.
p. 185‑93.
38. Maqsood A, Abbas J, Rehman G, Mubeen R. The paradigm shift
for educational system continuance in the advent of COVID-19
pandemic: Mental health challenges and reflections. Current
Research in Behavioral Sciences. 2021;2:100011.
39. Sun J, Yuan BZ. Development, and characteristic of digital library
as a library branch. IERI Procedia 2012;2:12‑7.
40. Raju J. Knowledge, and skills for the digital era academic library.
J Acad Librariansh 2014;40:163‑70.
41. Abbas J, Wang D, Su Z, Ziapour A. The role of social media in
the advent of COVID‑19 pandemic: Crisis management, mental
health challenges and implications. Risk Manag Healthc Policy
2021;14:1917‑32.
42. Li S, Jiao F, Zhang Y, Xu X. Problems and Changes in Digital
Libraries in the Age of Big Data From the Perspective of User
Services. The Journal of Academic Librarianship. 2019;45(1):22-30.
43. Zakaria MS. Data visualization as a research support service in
academic libraries: An investigation of world‑class universities.
J Acad Librariansh 2021;47:102397.
44. Ocran TK, Underwood EP, Arthur PA. Strategies for successful
implementation of mobile phone library services. J Acad
Librariansh 2020;46:102174.
45. Pinho C, Franco M, Mendes L. Exploring the conditions of
success in e-libraries in the higher education context through the
lens of the social learning theory. Information & Management.
2020;57(4):103208.
46. Azadi NA, Ziapour A, Lebni JY, Irandoost SF, Abbas J,
Chaboksavar F. The effect of education based on health belief
model on promoting preventive behaviors of hypertensive disease
in staff of the Iran University of Medical Sciences. Arch Public
Health 2021;79:69.
47. Moradi F, Tourani S, Ziapour A, Abbas J, Hematti M, Moghadam,
EJ, Soroush A. Emotional Intelligence and Quality of Life in
Elderly Diabetic Patients. Int Q Community Health Educ,
2021;42(1), 15-20. doi:10.1177/0272684X20965811.
48. Tarhini A, Masa’deh Re, Al-Busaidi KA, Mohammed AB,
Maqableh M. Factors influencing students’ adoption of e-learning:
a structural equation modeling approach. Journal of International
Education in Business. 2017;10(2):164-182.
49. Iqbal HM, Sohail S, Shahzad S. Learning and study strategies
used by university students in Pakistan. Procedia Soc Behav Sci
2010;2:4717‑21.
50. Haider SJ. Perspectives on … coping with change: Issues facing
university libraries in Pakistan. J Acad Librariansh 2004;30:229‑36.
51. Cruz KFS, Mendes GHS, Lizarelli FL, Cauchick-Miguel PA.
Antecedents and consequences of library service innovation: An
investigation into Brazilian academic libraries. The Journal of
Academic Librarianship. 2020;46(6):102235.
52. Office IE. Acknowledgment to Reviewers of IJERPH in 2020. Int
J Environ Res Public Health 2021;18:1259.
53. Abbas J, Mubeen R, Iorember PT, Raza S, Mamirkulova G.
Exploring the impact of COVID-19 on tourism: transformational
potential and implications for a sustainable recovery of the travel
and leisure industry. Current Research in Behavioral Sciences. - 2021;2:100033.
54. Bangani S. The fake news wave: Academic libraries’ battle
against misinformation during COVID‑19. J Acad Librariansh
2021;47: 102390.
55. Sakamoto T. E-Learning in Japanese Universities. Industry and
Higher Education. 2016;17(6):397-404.
56. Yoosefi LebniJ, Abbas J, Moradi F, SalahshoorMR, Chaboksavar F,
Irandoost SF, et al. How the COVID‑19 pandemic effected
economic, social, political, and cultural factors: A lesson from
Iran. Int J Soc Psychiatry 2021;67:298‑300.
57. Seufert S, Guggemos J, Sailer M. Technology‑related knowledge,
skills, and attitudes of pre‑ and in‑service teachers: The
current situation and emerging trends. Comput Human Behav
2021;115:106552.
58. Scuotto V, Beatrice O, Valentina C, Nicotra M, Di Gioia L, Farina
Briamonte M. Uncovering the micro-foundations of knowledge
sharing in open innovation partnerships: An intention-based
perspective of technology transfer. Technological Forecasting
and Social Change. 2020;152:119906.
59. Huang CE. Discovering the creative processes of students:
Multi‑way interactions among knowledge acquisition, sharing
and learning environment. J Hosp Leis Sport Tour Educ
2020;26:100237.
60. Bouton E, Tal SB, Asterhan CS. Students, social network
technology and learning in higher education: Visions of
collaborative knowledge construction vs. the reality of knowledge
sharing. Intern High Educ 2021;49:100787.
61. Kwayu S, Abubakar M, Lal B. The influence of informal social
media practices on knowledge sharing and work processes within
organizations. Int J Inf Manage 2021;58:102280.
62. Abbasi S, Ayoob T, Malik A, Memon SI. Perceptions of students
regarding E‑learning during Covid‑19 at a private medical college.
Pak J Med Sci 2020;36:S57‑61.
63. Huynh R. The role of E‑learning in medical education. Acad Med
2017;92:430.
64. Hendal BA. Kuwait University faculty’s use of electronic resources
during the COVID-19 pandemic. Digital Library Perspectives.
2020;36(4):429-439.
65. Abbas, J., Mahmood, S., Ali, H., Ali Raza, M., Ali, G.,
Aman, J., Bano, S., & Nurunnabi, M.[ The effects of corporate
social responsibility practices and environmental factors
through a moderating role of social media marketing on
sustainable performance of Firms’ operating in Multan, Pakistan.
Sustainability 2019; 11(12), 3434.
66. Rafique H, Alroobaea R, Munawar BA, Krichen M,
Rubaiee S, Bashir AK. Do digital students show an inclination
toward continuous use of academic library applications? A case
study. The Journal of Academic Librarianship. 2021;47(2):102298.
67. Rafique H, Almagrabi AO, Shamim A, Anwar F, Bashir AK.
Investigating the Acceptance of Mobile Library Applications with
an Extended Technology Acceptance Model (TAM). Computers
& Education. 2020;145:103732.
68. Rafiq M, Batool SH, Ali AF, Ullah M. University libraries response
to COVID-19 pandemic: A developing country perspective. The
Journal of Academic Librarianship. 2021;47(1):102280.
69. Karim RA, Shakil AF. A research study about the importance of
e‑library for globalized learning among students at university
level in Karachi, Pakistan. RADS J Soc Sci Bus Manage
2017;4:104‑14.
70. Omotayo FO, Haliru A. Perception of task‑technology fit of digital
library among undergraduates in selected universities in Nigeria.
J Acad Librariansh 2020;46:102097.
71. Ullah R, Richardson JTE, Malik RA, Farooq S. Perceptions of the
learning environment, learning preferences, and approaches
to studying among medical students in Pakistan. Studies in
Educational Evaluation. 2016;50:62-70.
72. NeJhaddadgar N, Ziapour A, Abbas J, Mardi A, Zare M.
Correlation between general health and sexual function in older
women in an Iranian setting. J Educ Health Promot 2020;9:300.
73. Yoosefi Lebni J, Abbas J, Khorami F, Khosravi B, Jalali A,
Ziapour A. Challenges facing women survivors of self‑immolation
in the Kurdish Regions of Iran: A qualitative study. Front
Psychiatry 2020;11:778.
74. Su Z, Wen J, Abbas J, McDonnell D, Cheshmehzangi A, Li X,
et al. A race for a better understanding of COVID‑19 vaccine
non‑adopters. Brain Behav Immun Health 2020;9:100159.
75. Shuja KH, Shahidullah, Aqeel M, Khan EA, Abbas J. Letter to
highlight the effects of isolation on elderly during COVID‑19
outbreak. Int J Geriatr Psychiatry 2020;35:1477‑8.
76. Cox A, Brewster L. Library support for student mental health and
well‑being in the UK: Before and during the COVID‑19 pandemic.
J Acad Librariansh 2020;46:102256.
77. Aman J, Abbas J, Mahmood S, Nurunnabi M, Bano S. The
Influence of Islamic Religiosity on the Perceived Socio-Cultural
Impact of Sustainable Tourism Development in Pakistan:
A Structural Equation Modeling Approach. Sustainability.
2019;11(11):3039.
78. Mamirkulova G, Mi J, Abbas J, Mahmood S, Mubeen R, Ziapour A.
New Silk Road infrastructure opportunities in developing tourism
environment for residents better quality of life. Global Ecology
and Conservation. 2020; 24:e01194.
79. Tor SF. Probing the effect of library staff’ discussions at duty
posts on graduate students’ research activities: Evidence from a
Nigerian university library. J Acad Librariansh 2021;47:102278.
80. Abbas J, Aqeel M, Abbas J, Shaher B, A J, Sundas J, et al. The
moderating role of social support for marital adjustment,
depression, anxiety, and stress: Evidence from Pakistani working
and nonworking women. J Affect Disord 2019;244:231‑8.
81. Local Burden of Disease HIV Collaborators. Mapping subnational
HIV mortality in six Latin American countries with incomplete
vital registration systems. BMC Med 2021;19:4.
82. Toqeer S, Aqeel M, Shuja KH, Bibi A, Abbas J. Attachment Styles,
Facebook Addiction, Dissociation and Alexithymia in University
Students; A Mediational Model. Nature-Nurture Journal of
Psychology. 2021;1(1):28-37.
83. Mubeen R, Han D, Abbas J, Hussain I. The Effects of Market
Competition, Capital Structure, and CEO Duality on Firm
Performance: A Mediation Analysis by Incorporating the GMM
Model Technique. Sustainability. 2020;12(8):3480.
84. Hussain T, Abbas J, Wei Z, Ahmad S, Xuehao B, Gaoli Z. Impact of
Urban Village Disamenity on Neighboring Residential Properties:
Empirical Evidence from Nanjing through Hedonic Pricing
Model Appraisal. Journal of Urban Planning and Development.
2021;147(1):04020055.
85. ParasuramanA, ColbyCL. An Updated and Streamlined Technology
Readiness Index. Journal of Service Research. 2014;18 (1):59‑74.
86. Hair Jr JF, Hult GTM, Ringle C, Sarstedt M. A primer on partial
least squares structural equation modeling (PLS-SEM): Sage
publications; 2016. A Primer on Partial Least Squares Structural
Equation Modeling (PLS-SEM), Newbury Park, California, USA.
Sage Publications; 2016.
87. F. Hair Jr J, Sarstedt M, Hopkins L, G. Kuppelwieser V. Partial
least squares structural equation modeling (PLS‑SEM). European
Business Review. 2014;26 (2):106‑121.;
88. Zahid H, Haji Din B. Determinants of intention to adopt
E‑government services in Pakistan: An imperative for sustainable
development. Resources 2019;8:128.
89. Zaman U, Zahid H, Habibullah MS, Din BH, Wright LT.
Adoption of Big Data Analytics (BDA) Technologies in Disaster
Management: A Decomposed Theory of Planned Behavior (DTPB)
Approach. Cogent Business & Management. 2021;8(1):1880253.
90. Hair JF, Sarstedt M, Ringle CM, Gudergan SP. Advanced Issues
in Partial Least Squares Structural Equation Modeling: SAGE
Publications; 2017, USA, SAGE Publication 91. Abbas, J., Raza, S., Nurunnabi, M., Minai, M. S., & Bano, S.
The impact of entrepreneurial business networks on firms’
performance through a mediating role of dynamic capabilities.
Sustainability 2019;11:3006.
92. Aman J, Abbas J, Nurunnabi M, Bano S. The Relationship of
Religiosity and Marital Satisfaction: The Role of Religious
Commitment and Practices on Marital Satisfaction Among
Pakistani Respondents. Behavioral Sciences. 2019;9(3):30.
93. Moradi F, Toghroli R, Abbas J, Ziapour A, Lebni JY, Aghili A,
et al. Hospital managers’ skills required and onward challenges:
A qualitative study. J Educ Health Promot 2020;9:228.
94. Henseler J, Ringle CM, Sinkovics RR. The use of partial least
squares path modeling in international marketing. In: New
Challenges to International Marketing. England. Emerald
Group Publishing Limited; 2009.
95. Geisser S. A predictive approach to the random effect model.
Biometrika 1974;61:101‑7.
96. Sobaih AEE, Hasanein AM, Abu Elnasr AE. Responses to
COVID‑19 in Higher Education: Social Media Usage for
Sustaining Formal Academic Communication in Developing
Countries. Sustainability. 2020;12 (16):6520.
97. Huang C, Wang Y, Li X, et al. Clinical features of patients
infected with 2019 novel coronavirus in Wuhan, China. Lancet.
2020;395 (10223):497‑506.
98. Guarner J. Three Emerging Coronaviruses in Two Decades. Am
J Clin Pathol. 2020;153 (4):420‑421.
99. Mailizar M, Almanthari A, Maulina S, Bruce S. Secondary School
Mathematics Teachers’ Views on E‑learning Implementation
Barriers during the COVID‑19 Pandemic: The Case of Indonesia.
Eurasia Journal of Mathematics, Science and Technology Education.
2020;16 (7):em1860.
100. Kerres M. Against All Odds: Education in Germany
Coping with Covid‑19. Postdigital Science and Education.
2020;2 (3):690‑694.
101. Wang CJ, Ng CY, Brook RH. Response to COVID‑19 in Taiwan:
Big Data Analytics, New Technology, and Proactive Testing.
JAMA. 2020;323 (14):1341‑1342.
102. Al‑Rahmi WM, Alzahrani AI, Yahaya N, Alalwan N, Kamin YB.
Digital Communication: Information and Communication
Technology (ICT) Usage for Education Sustainability.
Sustainability. 2020;12 (12):5052.
103. Ge T, Abbas J, Abbas A, Ullah R, Sadiq I, Zhang R. Women's
entrepreneurial contribution to family income: Innovative
technologies promote females' entrepreneurship amid COVID-19
crisis. Front Psychol. 2021; 12:828040.
104. Zhou Y, Draghici A, Abbas J, Mubeen R, Boatca ME, Salam MA.
Social Media Efficacy in Crisis Management: Effectiveness of Nonpharmaceutical Interventions to Manage COVID-19 Challenges.
Frontiers in psychiatry. 2022; 12:626134.7.
105. Li Z, Wang D, Abbas J, Hassan S, Mubeen R. Tourists’ health
risk threats amid COVID-19 era: Role of technology innovation,
Transformation, and recovery implications for sustainable
tourism. Frontiers in Psychology. 2022; 12:769175.
106. Shoib S, Gaitan Buitrago JET, Shuja KH, Aqeel M, de Filippis R,
Abbas J, et al. Suicidal behavior sociocultural factors in developing
countries during COVID-19. L'Encéphale. 2021; 47.
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