A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ.

Journal: Journal of biomedical informatics
Published Date: Jun 1, 2021

Abstract

BACKGROUND: Iraq is among the countries affected by the COVID-19 pandemic. As of 2 August 2020, 129,151 COVID-19 cases were confirmed, including 91,949 recovered cases and 4,867 deaths. After the announcement of lockdown in early April 2020, situation in Iraq was getting steady until late May 2020, when daily COVID-19 infections have raised suddenly due to gradual easing of lockdown restrictions. In this context, it is important to develop a forecasting model to evaluate the COVID-19 outbreak in Iraq and so to guide future health policy.

Authors

  • Ahmed J Aljaaf
    Centre of Computer, University of Anbar, Ramadi, Iraq; Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, UK. Electronic address: A.J.Aljaaf@uoanbar.edu.iq.
  • Thakir M Mohsin
    College of Medicine, University of Anbar, Ramadi, Iraq.
  • Dhiya Al-Jumeily
    Applied Computing Research Group, Liverpool John Moores University, Byrom Street, Liverpool L3 3AF, UK.
  • Mohamed Alloghani
    The Artificial Intelligence Department-, Dubai, UAE. phdmn2015@gmail.com.

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