DOI :10.26650/B/ET07.2023.004.18   IUP :10.26650/B/ET07.2023.004.18    Full Text (PDF)

Platforms Offered to Human Use in the Process of Information Sharing

Asiye BilgiliMaziar Ravan Bakhsh

In the last quarter of 2019, pneumonia cases of unknown cause were detected in Wuhan, China. Before long, World Health Organization named this new virus SARS-CoV-2 and named the disease COVID-19. The disease began to spread between countries in a short time, and as of March 2020, Covid-19 was declared a pandemic by WHO. In this disease, where the rate of transmission is high, sharing of information is critical in the management of the epidemic. In this curent epidemic, patient samples in hospitals, imaging and laboratory results of the patient, research findings on vaccine studies, information on currently used treatments, guidelines created by leading institutions and organizations such as the World Health Organization, local governments’ recommendations to cope with the epidemic. It is known that a large amount of data including regulations and anti-epidemic policy information has been reached. This study, it is aimed to identify the platforms that can be evaluated within the scope of information management during the COVID-19 pandemic process, to define and categorize the functions of these platforms. Within the scope of the study, information sharing platforms and software tools were examined. Accordingly, in this study, platforms that enable data transfer between laboratories, dashboards with instant data, platforms with data sets for the use of researchers, and social media are summarized in 4 categories.


  • Abdul-Baki, M. N., Dhemesh, Y., Alasadi, L., & Alsuliman, T. (2020). The Substantial Awareness role of WebBased and Social Media Platforms in Developing Countries During a Pandemic Scenario: The Example of COVID-19. Journal of Public Health, 642-643. google scholar
  • Adalı, G. K. (2022). Measuring the Attitudes of Governmental Policies and the Public Towards the COVID-19 Pandemic. In Handbook of Research on Interdisciplinary Perspectives on the Threats and Impacts of Pandemics (pp. 163-187). IGI Global. google scholar
  • Akgül, Ö. (2020). SARS-CoV-2/COVID-19 Pandemisi. Tıp Fakültesi Klinikleri, 1-4. google scholar
  • Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of Economic Perspectives, 211-236. google scholar
  • Alsunaidi, S. J., Almuhaideb, A. M., Ibrahim, N. M., Shaikh, F. S., Alqudaihi, K. S., Alhaidari, F. A., . . . Alshahrani, M. S. (2021). Applications of Big Data Analytics to Control COVID-19 Pandemic. Sensors. google scholar
  • Ammirato, S., Linzalone, R., & Felicetti, A. M. (2020). Knowledge management in pandemics. A critical literature review. Knowledge Management Research & Practice, 415-426. google scholar
  • Bolarinwa, O., Akande, T. M., & Salaudeen, A. G. (2012). Overview of Knowledge Management Applications in Health Care Delivery of Developing Countries. Academic Research International, 38-45. google scholar
  • Canbolat, Z. N. (2019). Sağlıkta Bilgi Yönetimi ve Büyük Veri. In Veri Madenciliği ve Makine Öğrenmesi (pp. 67-104). Istanbul: Çağlayan Kitabevi. google scholar
  • Chen, Q., Min, C., Zhang, W., Wang, G., Ma, X., & Evans, R. (2020). Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis. Computers in Human Behavior. google scholar
  • COVID-19 LIMS. (n.d.). Retrieved from CloudLIMS:"> COVID-19 LIMS Software. (n.d.). Retrieved from CloudLIMS: google scholar
  • COVID-19 Testing LIS. (n.d.). Retrieved from Labgen: google scholar
  • Gallotti, R., Valle, F., Castaldo, N., Sacco, P., & Domenico, M. (2020). Assessing the risk of ‘infodemics’ in response to COVID-19 epidemics. Nature Human Behaviour. google scholar
  • Gao, F., Tao, L., Huang, Y., & Shu, Z. (2020). Management and Data Sharing of Covid-19 Pandemic Information. Biopreservation and Biobanking, 570-580. google scholar
  • Gewin, V. (2016). Data sharing: An open mind on open data. Nature, 117-119. google scholar
  • Ghebreyesus, T. A. (2020). Munich Security Conference. google scholar
  • Huang, H., Peng, Z., Wu, H., & Xie, Q. (2020). A big data analysis on the five dimensions of emergency management information in the early stage of COVID-19 in China. Journal of Chinese Governance. google scholar
  • International Committee of Medical Journal Editors. (2021). Overlapping Publications. Retrieved from International Committee of Medical Journal Editors: publishing-and-editorial-issues/overlapping-publications.html google scholar
  • Jiafu, S., Yu, Y., & Ran, D. (2018). A CA-based heterogeneous model for knowledge dissemination inside knowledge-based organizations. Journal of Intelligent & Fuzzy Systems. google scholar
  • Kata, A. (2010). A postmodern Pandora’s Box: Anti-vaccination misinformation on the internet. Vaccine, 17091716. google scholar
  • Lai, C.-C., Shih, T.-P., Ko, W.-C., Tang, H.-J., & Hsueh, P.-R. (2020). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges. International Journal of Antimicrobial Agents. google scholar
  • Lewis, T. (2006). Seeking health Information on the internet: Lifestyle choice or bad attack of cyberchondria. Media, Culture & Society, 521-539. google scholar
  • Marr, B. (2015, April 21). How Big Data Is Changing Healthcare. Retrieved from Forbes: https://www.forbes. com/sites/bernardmarr/2015/04/21/how-big-data-is-changing-healthcare/?sh=119009732873 google scholar
  • Needham, M. (2021, March 24). Data Creation and Replication Will Grow at a Faster Rate than Installed Storage Capacity, According to the IDC Global DataSphere and StorageSphere Forecasts. Retrieved from IDC: google scholar
  • Patel, M. P., Kute, V. B., & Agarwal, S. K. (2020). “Infodemic” COVID 19: More Pandemic than the Virus. Indian Journal of Nephrology, 188-191. google scholar
  • Phan, A.-C., Phan, T.-C., & Trieu, T.-N. (2022). A Systematic Approach to Healthcare Knowledge Management Systems in the Era of Big Data and Artificial Intelligence. Applied Sciences. google scholar
  • Rios, R. S., Zheng, K. I., & Zheng, M.-H. (2020). Data sharing during COVID-19 pandemic: what to take away. Expert Review of Gastroenterology, 1125-1130. google scholar
  • Rovetta, A., & Bhagavathula, A. S. (2020). COVID-19 related web search behaviours and infodemic attitudes in Italy: Infodemical study. JMIR Public Health and Surveillance. google scholar
  • Samuli, L., Islam, N. A., Islam, M. N., & Whelan, E. (2020). What drives unverified information sharing and cyberchondria during the COVID-19 Pandemic? European Journal of Information Systems, 288-305. google scholar
  • Sweller, J. (2011). Cognitive Load Theory. In Psychology of Learning and Motivation (pp. 37-76). google scholar
  • Tang, B., Wang, X., Li, Q., Bragazzi, N. L., Tang, S., Xiao, Y., & Wu, J. (2020). Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions. Journal of Clinical Medicine. google scholar
  • Therrien, M.-C., Normandin, J.-M., & Denis, J.-L. (2017). Bridging complexity theory and resilience to develop surge capacity in health systems. Journal of Health Organization and Management, 96-109. google scholar
  • Vasee, M., Restrepo, A., & Swaminathan , S. (2020). Data sharing for novel coronavirus (COVID-19). Bull World Health Organ. google scholar
  • Viner, R. M., Russel, S. J., Croker, H., Packer, J., Ward, J., Stansfield, C., . . . Booy, R. (2020). School closure and management practices during coronavirus outbreaks including COVID-19: a rapid systematic review. The Lancet Child & Adolescent Health. google scholar
  • Vybornova, O., & Gala , J.-L. (2016). Decision support in a fieldable laboratory management during an epidemic outbreak of disease. Journal of Humanitarian Logistics and Supply Chain Management. google scholar
  • Vybornova, O., & Gala, J.-L. (2016). Decision support in a fieldable laboratory management during an epidemic outbreak of disease. Journal of Humanitarian Logistics and Supply Chain Management, 264-295. google scholar
  • Wang, W.-T., & Wu, S.-Y. (2020). Knowledge management based on information technology in response to COVID-19 crisis. Knowledge Management Research & Practice, 468-474. google scholar
  • WHO Coronavirus (COVID-19) Dashboard. (2021, Nisan 16). Retrieved from World Health Organization: google scholar
  • Zaracostas, J. (2020). How to fight an Infodemic. The Lancet. google scholar
  • Zheng, H., Goh, D. H.-L., Lee, E. W., & Theng, Y.-L. (2021). Understanding the effects of message cues on COVID-19 information sharing on Twitter. Journal of the Assocciation for Information Science and Technology. google scholar


Istanbul University Press aims to contribute to the dissemination of ever growing scientific knowledge through publication of high quality scientific journals and books in accordance with the international publishing standards and ethics. Istanbul University Press follows an open access, non-commercial, scholarly publishing.