COVID – PAMBAYESIAN (Patient Managed Decision-Support using Bayesian Networks)

March 23, 2021 / byScott / 0

Neil, M., Fenton, N., Osman, M., & McLachlan, S. (2020). Bayesian network analysis of COVID-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported. Journal of Risk Research, 23(7-8) DOI: 10.1080/13669877.2020.1778771

Osman, M., Fenton, N., McLachlan, S., Lucas, P., Dube, K., Hitman, G., Kyrimi, E., & Neil, M. (2020) The thorny problems of Covid-19 Contact Tracing Apps: The need for a holistic approach. Journal of Behavioural Economics for Policy, 4, COVID-19 Special Issue, pp 57-61

Fenton, N., Osman, M., Neil, M., & McLachlan, S. (2020). COVID-19 infection and death rates: The need to incorporate causal explanations for the data and avoid bias in testing. Journal of Risk Research, 23(7-8) DOI: 10.1080/13669877.2020.1756381

Fenton, N., Osman, M., Neil, M., & McLachlan, S. (2020). Coronavirus: Our study suggests more people have had it than previously estimated. The Conversation, (June 25th, 2020). https://theconversation.com/coronavirus-our-study-suggests-more-people-have-had-it-than-previously-estimated-140996

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