COVID-19 Pandemic Risk Analytics: Data Mining with Reliability Engineering Methods for Analyzing Spreading Behavior and Comparison with Infectious Diseases
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-74556-1_18
Reference16 articles.
1. Bracke, S., Puls, A., Grams, L.: COVID-19 pandemic data analytics: Data heterogeneity, spreading behavior, and lockdown impact. In: Proceedings of the 30th European Safety and Reliability Conference and the 15 the Probabilistic Safety Assessment and Management Conference. Research Publishing (2020)
2. Birolini, A.: Reliability Engineering. Theory and Practice. Springer, Berlin (2017)
3. Cox, D.R., Stuart, A.: Some quick sign tests for trend in location and dispersion. Biometrika 42(1–2), 80–95 (1955)
4. D’Arienzo, M., Coniglio, A.: Assessment of the SARS-CoV-2 basic reproduction number, R0, based on the early phase of COVD-19 outbreak in Italy. Biosaf. Health 2(2), 57–59
5. Dimmock, N.J., Easton, A.J., Leppard, K.N.: Introduction to Modern Virology. Wiley, New York (2016)
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