Review Article

Telehealth in Management of COVID-19 Pandemic: A Scoping Review

Telehealth and COVID-19 Pandemic


COVID-19 has created major health-related, economic, and social challenges in societies, and its high contagion has dramatically altered access to healthcare. COVID-19 management can be improved by the use of telehealth. This study aimed to examine different telehealth technologies in the management of COVID-19 disease in the domains of surveillance, diagnosis, screening, treatment, monitoring, tracking, and follow-up, and investigate the challenges to the application of telehealth in COVID-19 management. This scoping review was conducted based on Arksey and O’Malley's framework. Searches were performed in Web of Science, PubMed, and Scopus databases to examine the evidence on the effectiveness of telehealth in COVID-19 management. Eventually, 36 articles were selected based on the inclusion criteria. The majority of these studies (33%) were conducted in China. Most services offered via telehealth focused on surveillance, tracking, and follow-up, in that order. Moreover, the most frequently used technologies were social networks, web-based apps, and mobile apps, respectively. The use of telehealth in COVID-19 disease management plays a key role in surveillance, diagnosis, screening, treatment, monitoring, tracking, and follow-up.

1. Wang C, Horby PW, Hayden FG, Gao GF. A novel coronavirus outbreak of global health concern. Lancet (London, England). 2020;395(10223):470-3. doi: 10.1016/S0140-6736(20)30185-9
2. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet (London, England). 2020;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5
3. WHO Coronavirus Disease (COVID-19) Dashboard. WHO Web Site; 2020 [updated 14 August 2020; cited 14 August 2020]. Available from :http:
4. Armocida B, Formenti B, Ussai S, Palestra F, Missoni E. The Italian health system and the COVID-19 challenge. Lancet Public Health. 2020;5(5):e253-e. doi: 10.1016/S2468-2667(20)30074-8
5. Wang Y, Zhao X, Feng Q, Liu L, Yao Y, Shi J. Psychological assistance during the coronavirus disease 2019 outbreak in China. J Health Psychol. 2020;25(6):7-337.. doi: 10.1177/1359105320919177
6. Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, et al. Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China. Int J Environ Res Public Health. 2020;17(5):1729. doi: 10.3390/ijerph17051729
7. Blake H, Bermingham F, Johnson G, Tabner A. Mitigating the Psychological Impact of COVID-19 on Healthcare Workers: A Digital Learning Package. Int J Environ Res Public Health. 2020;17(9). doi: 10.3390/ijerph17092997
8. Zaka A, Shamloo SE, Fiorente P, Tafuri A. COVID-19 pandemic as a watershed moment: A call for systematic psychological health care for frontline medical staff. J Health Psychol. 2020;25(7):883-7. doi:10.1177/1359105320925148
9. Neubeck L, Hansen T, Jaarsma T, Klompstra L, Gallagher R. Delivering healthcare remotely to cardiovascular patients during COVID-19: A rapid review of the evidence. Eur J Cardiovasc Nurs. 2020:1474515120924530. doi:10.1177/1474515120924530
10. Bokolo Anthony J. Use of Telemedicine and Virtual Care for Remote Treatment in Response to COVID-19 Pandemic. J Med Syst. 2020;44(7):132. doi: 10.1007/s10916-020-01596-5
11. Wosik J, Fudim M, Cameron B, Gellad ZF, Cho A, Phinney D, et al. Telehealth transformation: COVID-19 and the rise of virtual care. J Am Med Inform Assoc. 2020;27(6):957-62. doi: 10.1093/jamia/ocaa067
12. Bashshur R, Shannon G, Krupinski E, Grigsby J. The taxonomy of telemedicine. Telemed J E Health. 2011;17(6):484-94. doi: 10.1089/tmj.2011.0103
13. Tulu B, Chatterjee S, Maheshwari M. Telemedicine Taxonomy: A Classification Tool. Telemed J E Health. 2007;13(3):349-58. doi: 10.1089/tmj.2006.0055
14. Elkaddoum R, Haddad FG, Eid R, Kourie HR. Telemedicine for cancer patients during COVID-19 pandemic: between threats and opportunities. Future Oncol. 2020;16(18):1225-7. doi: 10.2217/fon-2020-0324
15. Ghosh A, Gupta R, Misra A. Telemedicine for diabetes care in India during COVID19 pandemic and national lockdown period: Guidelines for physicians. Diabetes Metab Syndr. 2020;14(4):273-6. doi: 10.1016/j.dsx.2020.04.001
16. Smith AC, Thomas E, Snoswell CL, Haydon H, Mehrotra A, Clemensen J, et al. Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19). J Telemed Telecare. 2020;26(5):309-13. doi: 10.1177/1357633X20916567
17. Blozik E, Grandchamp C, von Overbeck J. Influenza surveillance using data from a telemedicine centre. Int J Public Health. 2012;57(2):447-52. doi: 10.1007/s00038-011-0240-1
18. Keshvardoost S, Bahaadinbeigy K, Fatehi F. Role of Telehealth in the Management of COVID-19: Lessons Learned from Previous SARS, MERS, and Ebola Outbreaks. Telemed J E Health. 2020. doi: 10.1089/tmj.2020.0105
19. Krausz M, Westenberg JN, Vigo D, Spence RT, Ramsey D. Emergency Response to COVID-19 in Canada: Platform Development and Implementation for eHealth in Crisis Management. JMIR Public Health Surveill. 2020;6(2):e18995. doi: 10.2196/18995
20. Portnoy J, Waller M, Elliott T. Telemedicine in the Era of COVID-19. J Allergy Clin Immunol Pract. 2020;8(5):1489-91. doi: 10.1016/j.jaip.2020.03.008
21. Ye Q, Zhou J, Wu H. Using Information Technology to Manage the COVID-19 Pandemic: Development of a Technical Framework Based on Practical Experience in China. JMIR Med Inform. 2020;8(6):e19515. doi: 10.2196/19515
22. Hjelm NM. Benefits and drawbacks of telemedicine. J Telemed Telecare. 2005;11(2):60-70. doi: 10.1258/1357633053499886
23. Arksey H, O'Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19-32. doi:10.1080/1364557032000119616
24. Peters MD, Godfrey CM, Khalil H, McInerney P, Parker D, Soares CB. Guidance for conducting systematic scoping reviews. Int J Evid Based Healthc. 2015;13(3):141-6. doi: 10.1097/XEB.0000000000000050
25. Munn Z, Peters MDJ, Stern C, Tufanaru C, McArthur A, Aromataris E. Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Med Res Methodol. 2018;18(1):143. doi: 10.1186/s12874-018-0611-x
26. Tricco A, Lillie E, Zarin W, O’Brien K, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Ann Intern Med. 2018;169. doi: 10.7326/M18-0850
27. Gao J, Zheng P, Jia Y, Chen H, Mao Y, Chen S, et al. Mental health problems and social media exposure during COVID-19 outbreak. PloS one. 2020;15(4):e0231924. doi: 10.1371/journal.pone.0231924
28. Han X, Wang J, Zhang M, Wang X. Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China. Int J Environ Res Public Health. 2020;17(8). doi: 10.3390/ijerph17082788
29. Huang C, Xu X, Cai Y, Ge Q, Zeng G, Li X, et al. Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts. J Med Internet Res. 2020;22(5):e19087. doi: 10.2196/19087
30. Liao Q, Yuan J, Dong M, Yang L, Fielding R, Lam WWT. Public Engagement and Government Responsiveness in the Communications About COVID-19 During the Early Epidemic Stage in China: Infodemiology Study on Social Media Data. J Med Internet Res. 2020;22(5):e18796. doi: 10.2196/18796
31. Shen C, Chen A, Luo C, Zhang J, Feng B, Liao W. Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study. J Med Internet Res. 2020;22(5):e19421.doi: 10.2196/19421
32. Zhao Y, Cheng S, Yu X, Xu H. Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study. J Med Internet Res. 2020;22(5):e18825. doi: 10.2196/18825
33. Gong M, Liu L, Sun X, Yang Y, Wang S, Zhu H. Cloud-Based System for Effective Surveillance and Control of COVID-19: Useful Experiences From Hubei, China. J Med Internet Res. 2020;22(4):e18948. doi: 10.2196/18948
34. Ni MY, Yang L, Leung CM, Li N, Yao XI, Wang Y, et al. Mental health, risk factors, and social media use during the COVID-19 epidemic and cordon sanitaire among the community and health professionals in Wuhan, China: Cross-sectional survey. JMIR Ment Health. 2020;7(5):e19009. doi: 10.2196/19009
35. Davarpanah AH, Mahdavi A, Sabri A, Langroudi TF, Kahkouee S, Haseli S, et al. Novel Screening and Triage Strategy in Iran During Deadly Coronavirus Disease 2019 (COVID-19) Epidemic: Value of Humanitarian Teleconsultation Service. J Am Coll Radiol. 2020;17(6):734-8. doi: 10.1016/j.jacr.2020.03.015
36. Abd-Alrazaq A, Alhuwail D, Househ M, Hamdi M, Shah Z. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study. J Med Internet Res. 2020;22(4):e19016. doi: 10.2196/19016
37. Ahmad AR, Murad HR. The Impact of Social Media on Panic During the COVID-19 Pandemic in Iraqi Kurdistan: Online Questionnaire Study. J Med Internet Res. 2020;22(5):e19556. doi: 10.2196/19556
38. Mackey T, Purushothaman V, Li J, Shah N, Nali M, Bardier C, et al. Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study. JMIR Public Health Surveill. 2020;6(2):e19509. doi: 10.2196/19509
39. Massaad E, Cherfan P. Social Media Data Analytics on Telehealth During the COVID-19 Pandemic. Cureus. 2020;12(4):e7838. doi: 10.7759/cureus.7838
40. Park HW, Park S, Chong M. Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea. J Med Internet Res. 2020;22(5):e18897. doi: 10.2196/18897
41. Wahbeh A, Nasralah T, Al-Ramahi M, El-Gayar O. Mining Physicians' Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis. JMIR Public Health Surveill. 2020;6(2):e19276. doi: 10.2196/19276
42. Basch CH, Hillyer GC, Meleo-Erwin ZC, Jaime C, Mohlman J, Basch CE. Preventive Behaviors Conveyed on YouTube to Mitigate Transmission of COVID-19: Cross-Sectional Study. JMIR Public Health Surveill. 2020;6(2):e18807. doi: 10.2196/18807
43. Li HO, Bailey A, Huynh D, Chan J. YouTube as a source of information on COVID-19: a pandemic of misinformation?. BMJ Glob Health. 2020;5(5). doi:10.1136/bmjgh-2020-002604
44. Li J, Xu Q, Cuomo R, Purushothaman V, Mackey T. Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study. JMIR Public Health Surveill. 2020;6(2):e18700. doi: 10.2196/18700
45. Bae YS, Kim KH, Choi SW, Ko T, Jeong CW, Cho B, et al. Information Technology–Based Management of Clinically Healthy COVID-19 Patients: Lessons From a Living and Treatment Support Center Operated by Seoul National University Hospital. J Med Internet Res. 2020;22(6):e19938. doi: 10.2196/19938
46. Bai L, Yang D, Wang X, Tong L, Zhu X, Zhong N, et al. Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19). Clinical eHealth. 2020;3:7-15. doi:10.1016/j.ceh.2020.03.001
47. Ekong I, Chukwu E, Chukwu M. COVID-19 Mobile Positioning Data Contact Tracing and Patient Privacy Regulations: Exploratory Search of Global Response Strategies and the Use of Digital Tools in Nigeria. JMIR Mhealth Uhealth. 2020;8(4):e19139. doi: 10.2196/19139
48. Hernandez-Orallo E, Manzoni P, Calafate CT, Cano JC. Evaluating How Smartphone Contact Tracing Technology Can Reduce the Spread of Infectious Diseases: The Case of COVID-19. IEEE Access. 2020;8:99083-97.doi: 10.1109/ACCESS.2020.2998042
49. Hong Z, Li N, Li DJ, Li JH, Li B, Xiong WX, et al. Telemedicine During the COVID-19 Pandemic: Experiences From Western China. J Med Internet Res. 2020;22(5). doi: 10.2196/19577
50. Yasaka TM, Lehrich BM, Sahyouni R. Peer-to-Peer Contact Tracing: Development of a Privacy-Preserving Smartphone App. JMIR Mhealth Uhealth. 2020;8(4):e18936. doi: 10.2196/18936
51. Denis F, Galmiche S, Dinh A, Fontanet A, Scherpereel A, Benezit F, et al. Epidemiological Observations on the Association Between Anosmia and COVID-19 Infection: Analysis of Data From a Self-Assessment Web Application. J Med Internet Res. 2020;22(6):e19855. doi: 10.2196/19855
52. Schinköthe T, Gabri MR, Mitterer M, Gouveia P, Heinemann V, Harbeck N, et al. A Web- and App-Based Connected Care Solution for COVID-19 In- and Outpatient Care: Qualitative Study and Application Development. JMIR Public Health Surveill. 2020;6(2):e19033. doi: 10.2196/19033
53. van Agteren J, Bartholomaeus J, Fassnacht DB, Iasiello M, Ali K, Lo L, et al. Using Internet-Based Psychological Measurement to Capture the Deteriorating Community Mental Health Profile During COVID-19: Observational Study. JMIR Ment Health. 2020;7(6):e20696. doi: 10.2196/20696
54. Kamel Boulos M, Geraghty E. Geographical tracking and mapping of coronavirus disease COVID-19 / severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. Int J Health Geogr. 2020;19. doi: 10.1186/s12942-020-00202-8
55. Komenda M, Bulhart V, Karolyi M, Jarkovský J, Mužík J, Májek O, et al. Complex Reporting of the COVID-19 Epidemic in the Czech Republic: Use of an Interactive Web-Based App in Practice. J Med Internet Res. 2020;22(5):e19367. doi: 10.2196/19367
56. Cuan-Baltazar JY, Muñoz-Perez MJ, Robledo-Vega C, Pérez-Zepeda MF, Soto-Vega E. Misinformation of COVID-19 on the Internet: Infodemiology Study. JMIR Public Health Surveill. 2020;6(2):e18444. doi: 10.2196/18444
57. Khairat S, Meng C, Xu Y, Edson B, Gianforcaro R. Interpreting COVID-19 and Virtual Care Trends: Cohort Study. JMIR Public Health Surveill. 2020;6(2):e18811. doi: 10.2196/18811
58. Mavragani A. Tracking COVID-19 in Europe: Infodemiology Approach. JMIR Public Health Surveill. 2020;6(2):e18941. doi: 10.2196/18941
59. Chou E, Hsieh YL, Wolfshohl J, Green F, Bhakta T. Onsite telemedicine strategy for coronavirus (COVID-19) screening to limit exposure in ED. Emerg Med J. 2020;37(6):335-7. doi: 10.1136/emermed-2020-209645
60. Judson TJ, Odisho AY, Neinstein AB, Chao J, Williams A, Miller C, et al. Rapid design and implementation of an integrated patient self-triage and self-scheduling tool for COVID-19. J Am Med Inform Assoc. 2020;27(6):860-6. doi: 10.1093/jamia/ocaa051
61. Li M, Leslie H, Qi B, Nan S, Feng H, Cai H, et al. Development of an openEHR Template for COVID-19 Based on Clinical Guidelines. J Med Internet Res. 2020;22(6):e20239. doi: 10.2196/20239
62. Basch CE, Basch CH, Hillyer GC, Jaime C. The Role of YouTube and the Entertainment Industry in Saving Lives by Educating and Mobilizing the Public to Adopt Behaviors for Community Mitigation of COVID-19: Successive Sampling Design Study. JMIR Public Health Surveill. 2020;6(2):e19145. doi: 10.2196/19145
63. Krausz MJEP. Social media and e-mental health. Eur Psychiatry. 2017;41(S1):S7-S.doi: 10.1016/j.eurpsy.2017.01.009

64. Keshvardoost S, Bahaadinbeigy K, Fatehi F. Role of Telehealth in the Management of COVID-19: Lessons Learned from Previous SARS, MERS, and Ebola Outbreaks. Telemed J E Health. 26(7):850-852. doi: 10.1089/tmj.2020.0105.
64. Zhai Y, Wang Y, Zhang M, Gittell JH, Jiang S, Chen B, et al. From isolation to coordination: how can telemedicine help combat the Covid-19 outbreak? medRxiv 2020.doi: 10.1101/2020.02.20.20025957
65. Bao Y, Sun Y, Meng S, Shi J, Lu L. 2019-nCoV epidemic: address mental health care to empower society. Lancet (London, England). 2020;395(10224):e37-e8. doi: 10.1016/S0140-6736(20)30309-36.
66. Basch CH, Fung IC, Hammond RN, Blankenship EB, Tse ZT, Fu KW, et al. Zika Virus on YouTube: An Analysis of English-language Video Content by Source. J Prev Med Public Health. 2017;50(2):133-40. doi: 10.3961/jpmph.16.107
67. Basch CH, Basch CE, Ruggles KV, Hammond R. Coverage of the Ebola Virus Disease Epidemic on YouTube. Disaster Med Public Health Prep. 2015;9(5):531-5. doi: 10.1017/dmp.2015.77
68. Mehdizadeh H, Asadi F, Mehrvar A, Nazemi E, Emami H. Smartphone apps to help children and adolescents with cancer and their families: a scoping review. Acta Oncol. 2019;58(7):1003-14. doi: 10.1080/0284186X.2019.1588474
69. Silva BM, Rodrigues JJ, de la Torre Díez I, López-Coronado M, Saleem K. Mobile-health: A review of current state in 2015. J Biomed Inform. 2015;56:265-72. doi: 10.1016/j.jbi.2015.06.003
70. Almasi S, Hosseini A, Emami H, Sabahi AJAMI. Mobile Health Technology for Hypertension Management: A Systematic Review. Acta Med Iran. 2020. 58(6):249-259. doi: 10.18502/acta.v58i6.4050.
71. Farrahi K, Emonet R, Cebrian M. Epidemic contact tracing via communication traces. PloS one. 2014;9(5):e95133-e. doi: 10.1371/journal.pone.0095133
72. Abeler J, Bäcker M, Buermeyer U, Zillessen H. COVID-19 Contact Tracing and Data Protection Can Go Together. JMIR Mhealth Uhealth. 2020;8(4):e19359-e. doi: 10.2196/19359
73. Chew C, Eysenbach G. Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PloS one. 2010;5(11):e14118. doi: 10.1371/journal.pone.0014118
74. Eysenbach G. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. J Med Internet Res. 2009;11(1):e11. doi: 10.2196/jmir.1157
75. Gittelman S, Lange V, Gotway Crawford CA, Okoro CA, Lieb E, Dhingra SS, et al. A new source of data for public health surveillance: Facebook likes. J Med Internet Res. 2015;17(4):e98. doi: 10.2196/jmir.3970.
76. Bentley RA, Ormerod P. Social versus independent interest in 'bird flu' and 'swine flu'. PLoS curr. 2009;1:Rrn1036. doi: 10.1371/currents.RRN1036
77. Farhadloo M, Winneg K, Chan MS, Hall Jamieson K, Albarracin D. Associations of Topics of Discussion on Twitter With Survey Measures of Attitudes, Knowledge, and Behaviors Related to Zika: Probabilistic Study in the United States. JMIR Public Health Surveill. 2018;4(1):e16. doi: 10.2196/publichealth.8186
78. Shultz JM, Baingana F, Neria Y. The 2014 Ebola outbreak and mental health: current status and recommended response. JAMA. 2015;313(6):567-8. doi: 10.1001/jama.2014.17934
79. Mak IW, Chu CM, Pan PC, Yiu MG, Chan VL. Long-term psychiatric morbidities among SARS survivors. Gen Hosp Psychiatry. 2009;31(4):318-26. doi: 10.1016/j.genhosppsych.2009.03.001
80. Neria Y, Sullivan GM. Understanding the mental health effects of indirect exposure to mass trauma through the media. JAMA. 2011;306(12):1374-5. doi: 10.1001/jama.2011.1358
81. Kramer AD, Guillory JE, Hancock JT. Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences of the United States of America. 2014;111(24):8788-90.doi: 10.1073/pnas.1320040111
82. Niederkrotenthaler T, Stack S, Till B, Sinyor M, Pirkis J, Garcia D, et al. Association of Increased Youth Suicides in the United States With the Release of 13 Reasons Why. JAMA psychiatry. 2019;76(9):933-40. doi: 10.1001/jamapsychiatry.2019.0922
IssueVol 59, No 11 (2021) QRcode
SectionReview Article(s)
Telehealth Telemedicine COVID-19 Infectious disease

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Asadi F, Almasi S. Telehealth in Management of COVID-19 Pandemic: A Scoping Review. Acta Med Iran. 2021;59(11):629-640.