Determining the Selected Social Network of Employees of Shahroud University of Medical Sciences to Receive News of Covid-19



Social Networking, COVID-19, News, Medical Staff


Background: Today, social networks play a very important role in communication between people. Many people use social networks as a source of information and a means of sending messages. This study aimed to determine the selected social network among the staff of Shahroud University of Medical Sciences.

Methods: This cross-sectional study was conducted at Shahroud University of Medical Sciences in 2020. Different variables, such as demographic characteristics, amount of interest in each social network, hours of using the Internet, trustworthiness, being up-to-date, accessibility, number of visits to each network, effectiveness, and how information is shared, and also the relationship between these variables were examined. The significant level was set at 0.05.

Results: A total of 109 (28.2%) women and 277 (71.8%) men participated in this study. The majority of the participants were aged 30-40 years (50%) and had a bachelor’s degree (55.2%). All the participants were members of at least one social network. The participants rated Telegram and then WhatsApp as the most frequently-visited, accessible, trusted, and up-to-date social networks.

Conclusions: According to the findings of this study, Telegram and then WhatsApp is the social network of choice among the majority of the staff.

Key Words: Social networking, COVID-19, News, Medical staff


WHO, 2020b. Coronavirus Disease 2019 (COVID-19) Situation Report [Accessed 3.31.20] Available from https// 19. pdf?sfvrsn=96b04adf_2.

Tavakoli A, Vahdat K, Keshavarz M. Novel coronavirus disease 2019 (COVID-19): an emerging infectious disease in the 21st century. ISMJ. 2020 Jan 10;22(6):432-50. [Persian]

Kahn N. New virus discovered by Chinese scientists investigating pneumonia outbreak. Wall Street Journal [Accessed 1.9.2020] Available from:

WHO, 2020c. Rolling Updates on Coronavirus Disease (COVID-19) [Accessed 3.31.2020]. Available from: https://

Roy D, Tripathy S, Kar SK, Sharma N, Verma SK, Kaushal V. Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian Journal of Psychiatry. 2020 Apr 8; 22: 102083.

Rahman Zadeh, S. Functions of Virtual Social Network in Globalization Period. Strategic Studies of public policy, 2010; 1(1): 49-78.

Li L, Zhang Q, Wang X, Zhang J, Wang T, Gao TL, et al. Characterizing the propagation of situational information in social media during covid-19 epidemic: A case study on the web. IEEE Transactions on Computational Social Systems. 2020 Mar 20;7(2):556-.26

Yale SS, Kumar S, Sharma V. Current and Potential Use of WhatsApp in Oral Health Care-A Narrative Review. International Journal of Health Sciences and Research. 2018;8(6):278-.48

Delam H, Eidi A. WhatsApp Messenger role in Coronavirus Disease 2019 (COVID 19) Pandemic. Journal of Health Sciences & Surveillance System. 2020 Oct 1;8(4):183-4.

Sharma K, Seo S, Meng C, Rambhatla S, Liu Y. Covid-19 on social media: Analyzing misinformation in Twitter conversations [Accessed 3.26.2020]. Available from:

Rovetta A, Bhagavathula AS. Global infodemiology of COVID-19: analysis of Google web searches and Instagram hashtags. Journal of medical Internet research. 2020;22(8): 20673.

Giannoulakis S, Tsapatsoulis N. Evaluating the descriptive power of Instagram hashtags. Journal of Innovation in Digital Ecosystems. 2016 Dec 1;3(2):114-29.

Logan G. Social Media's Role in the Coronavirus Pandemic [Accessed 4.20.2020]. Available from: pandemic-02296280.

Kulshrestha J, Eslami M, Messias J, Zafar MB, Ghosh S, Gummadi KP, et al. Quantifying search bias: Investigating sources of bias for political searches in social media. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. 2017; 417-432. Available from:

Cinelli M, Quattrociocchi W, Galeazzi A, Valensise CM, Brugnoli E, Schmidt AL, et al. The covid-19 social media infodemic. Scientific Reports. 2020;10(1):1-0.

Vosoughi S, Roy D, Aral S. The online spread of true and false new. Science. 2018;359(6380):1146-.15

N. Parveen and J. Waterson. UK phone masts attacked amid 5G-coronavirus conspiracy theory, 2020 [Accessed 4.17. 2020]. Available from: masts-attacked-amid-5g-coronavirus-conspiracy-theory.

Shu K, Sliva A, Wang S, Tang J, Liu H. Fake news detection on social media: A data mining perspective. ACM SIGKDD explorations newsletter. 2017;19(1):22-.63

Wallen J. Coronavirus: Indian man 'died by suicide' after becoming convinced he was infected.

Telegraph [Accessed 3.28.2020]. Available from: health/science-and-disease/coronavirus-indian-man-died-suicide-becoming-convinced-infected.

Tasnim S, Hossain MM, Mazumder H. Impact of rumors and misinformation on COVID-19 in social media. Journal of preventive medicine and public health. 2020;53(3):171-4.

WHO. Coronavirus disease (COVID-19) advice for the public: Myth busters [Accessed 3.20.2020]. Available from: public/ myth-busters.

ISPA.2018. "Migration from Telegram to WhatsApp" [Accessed 4.30.2020]. Available from:

Alimardani M, Elswah M. Trust, Religion, and Politics: Coronavirus Misinformation in Iran[Accessed 3.20.2020]. Available from:

Iqbal MZ, Alradhi HI, Alhumaidi AA, Alshaikh KH, AlObaid AM, Alhashim MT, et al. Telegram as a Tool to Supplement Online Medical Education During COVID-19 Crisis. Acta Informatica Medica. 2020;28(2):94.

Faramarzi S, Tabrizi HH, Chalak A. Telegram: An instant messaging application to assist distance language learning. Teaching English with Technology. 2019;19(1):132-47.

Zhong B, Huang Y, Liu Q. Mental health toll from the coronavirus: Social media usage reveals Wuhan residents' depression and secondary trauma in the COVID-19 outbreak. Computers in human behavior. 2020 Aug 15; 114:106524.



How to Cite

Taherparvar , N., Sheibani , H. ., Seidabadi , A. . . . . ., Talebi , S. S. . . . ., & Noyani , A. (2023). Determining the Selected Social Network of Employees of Shahroud University of Medical Sciences to Receive News of Covid-19. International Journal of Health Studies, 9(3). Retrieved from