Artificial Intelligence Application with Contact Tracing for Post COVID -19 Epidemic Management
Keywords:Artificial Intelligence, Contact Tracing, Social Media, Post Covid 19 Epidemic Management
INTRODUCTION: Post COVID -19 epidemics is in a critical situation which has to be properly managed with right preventive and curative measures to protect the economy and welfare of the Human beings.
OBJECTIVES: Effective management of this terrific situation may be possible through the help of contact tracing and its application of AI mechanism. Here the authors as taken the available data for the testing of the significance of AI approach for contract tracing proper management of the post COVID epidemic situation.
METHODS: Here contact tracing data are collected analysed interpreted and validity is tested with the help of statistical tools like egression, coefficient and Annova for the testing of the available data with its further application.
R ESULTS: AI application creates more awareness, vaccination, self-testing, isolation and intake medicine
CONCLUSION: Artificial Intelligence &social media plays a vital role for the creation of social awareness and proper manage of post COVID-19 epidemics.
Agrebi, S., & Larbi, A. Use of artificial intelligence in infectious diseases. In Artificial Intelligence in Precision Health, Academic Press,2020,415-438.
Bauermeister, J. A., Zimmerman, M. A., Johns, M. M., Glowacki, P., Stoddard, S., & Volz, E. Innovative recruitment using online networks: lessons learned from an online study of alcohol and other drug use utilizing a web-based, respondent-driven sampling (webRDS) strategy. Journal of Studies on Alcohol and Drugs, 2012,73(5), 834-838.
Cunningham, S. D., Michaud, J. M., Johnson, S. M., Rompalo, A., & Ellen, J. M. Phase-specific network differences associated with the syphilis epidemic in Baltimore city, 1996–2000. Sexually transmitted diseases, 2004,31(10), 611-615.
Kangbai, J. B. Social network analysis and modelling of cell phone-based syndromic surveillance data for Ebola in Sierra Leone. Asian Pacific Journal of Tropical Medicine,2016 9(9), 851-855.
Digital tools for contact tracing, Preprint at Git Hub. http:// go. Nature. Com/2x2czk9(2020) COVID – 19, 2, June 2019, World Health Organization.
Eames K.T., Keeling M.J, “Contact tracing & disease control”, Proc Biolsci , 2003 ; 3702565-2571
Ferretti, L., Wymant, C., Kendall, M., Zhao, L., Nurtay, A., Abeler-Dörner, L., ... & Fraser, C. Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing. Science,2020, 368(6491).
Helwell J. , Aboott S. , Gimma A. etal. “Centre for the Mathematical Modelling of infectious Diseases COVID-19 working group”, Feasibility of controlling COVID -19 outbreaks by isolations of causes &Contacts. Lancet Global health, 2020,8,488-496.
Klinkenberg, D., Fraser, C., & Heesterbeek, H. The effectiveness of contact tracing in emerging epidemics. PlOS one, 2006,1(1), e12.
Nishiura, H., Linton, N. M., & Akhmetzhanov, A. R.Serial interval of novel coronavirus (COVID-19) infections. International journal of infectious diseases,2020.
Stein, M. L., Rump, B. O., Kretzschmar, M. E., & van Steenbergen, J. E. Social networking sites as a tool for contact tracing: Urge for ethical framework for normative guidance. Public Health Ethics, 2014,7(1), 57-60.
Shibasaki R., International Telecommunication Union, Call detail Record analysis sierra leoone . 2016
Vaishya, R., Javaid, M., Khan, I. H., & Haleem, Artificial Intelligence (AI) applications or COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews,
Webster, R. K., Brooks, S. K., Smith, L. E., Woodland, L., Wessely, S., & Rubin, G. J. How to improve adherence with quarantine: Rapid review of the evidence. Public Health,2020.
Young, S. D. Social media technologies for HIV prevention study retention among minority men who have sex with men (MSM). AIDS and Behaviour, 2014,18(9), 1625-1629.
Chau, D., & Lee, C. Discursive construction of identities in a social network-educational space: Insights from an undergraduate Facebook group for a linguistics course. Discourse, context & media, 2017,18, 31-39.
Nikolayevskyy, V., Kranzer, K., Niemann, S., & Drobniewski, F. Whole genome sequencing of Mycobacterium tuberculosis for detection of recent transmission and tracing outbreaks: a systematic review. Tuberculosis, 2016,98, 77-85.
Luo, W., Gao, P., & Cassels, S. A large-scale location-based social network to understanding the impact of human geo-social interaction patterns on vaccination strategies in an urbanized area. Computers, environment and urban systems, 2018,72, 78-87.
Kwok, K. O., Tang, A., Wei, V. W., Park, W. H., Yeoh, E. K., & Riley, S. Epidemic models of contact tracing: Systematic review of transmission studies of severe acute respiratory syndrome and middle east respiratory syndrome. Computational and structural biotechnology journal, 2019,17, 186-194.
Gates, M. C., & Woolhouse, M. E. Controlling infectious disease through the targeted manipulation of contact network structure. Epidemics,2015, 12, 11-19.
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