Enhancing Warning of Disease Monitoring Based on Blockchain Collaborative Data Flow

Zhuli Wei

《World Scientific Research Journal》 7卷11期 (2021/11) Pp. 136-141

https://doi.org/10.6911/WSRJ.202111_7(11).0018

摘要

The outbreak of a new coronavirus (COVID-19, or NCP) pneumonia outbreak in 2019 poses new problems, new tests, and new challenges to the governance of public health for the whole humankind. As of May 25, 2020, 212 countries around the world have reported cases of the new crown epidemic to varying degrees. This poses severe challenges to public health security in the era of globalization and causes serious threat to the harmony and stability of society, economic development, the lives and physical health of the national people, and it is also a major test question for all humankind to breathe and share the same destiny. Human beings must realize the urgency of solving the problem of epidemic viruses, in order to deal with the uncertain future, this paper puts forward the blockchain collaborative data flow to enhance the warning of disease monitoring to improve prevention response for exploring and discussion.

關鍵字

COVID-19 ； Public health ； Data monitoring

參考文獻

www.who. int/mediacentre/factsheets/fs211/en/. Freifeld CC, Mandl KD, Reis BY, BrownsteinJS ( 2008) HealthMap: to Monitor global infectious diseases through automatic classification and visualization of Internet media reports. J Am Med Advisory Association 15:150 - 157.

Chew CEysenbach G (2010) Epidemic in the Age of Twitter: Content Analysis of Tweets During the H1N1 Outbreak in 2009. Public Service One (5) (ll): el4118.

Signorini A, Segre AM, Polgreen PM (2011) uses Twitter to track A H1N1 Level of disease activity and public concern in the United States during the flu pandemic. Public Service One (6) (5):e19467 .

Vasileios L, Tijl De Bie, Nello C(2010) Flu Detector: Tracking Influenza Diseases on Twitter. European Conference Paper Collection on Machine Learning and Database Knowledge Discovery in Europe 2010: Part III (ECML PKDD'10), Edited by Jose Luis Barcazza, Francesco Bunch, Aristides Giorgios and Michel Serbag. Springer Press, Heidelberg, Berlin:599 - 602.

Carneiro HA, Mylonakis E(2009) Google Trends: A web-based tool for monitoring disease outbreaks in real time. Clinical Infectious Diseases 49 (10): 1557 - 64.