loading page

Prediction of Global Spread of Covid-19 Pandemic: A Review and Research Challenges
  • +1
  • Saloni Shah ,
  • Aos Mulahuwaish ,
  • Kayhan Ghafoor ,
  • Halgurd S. Maghdid
Saloni Shah
Author Profile
Aos Mulahuwaish
Author Profile
Kayhan Ghafoor
Salahaddin University-Erbil

Corresponding Author:[email protected]

Author Profile
Halgurd S. Maghdid
Author Profile


Since the initial reports of the Coronavirus surfacing in Wuhan, China; the novel virus currently without a cure has spread like a wildfire across the globe. The virus spread exponentially across all inhabited continent; catching local governments by surprise in many cases and bringing the world economy to a standstill. As local authorities work on a response to deal with the virus, the scientific community has stepped in to help analyse and predict the pattern and conditions that would influence the spread of this unforgiving virus. Using existing statistical modelling tools to latest AI technology; the scientific community has used public and privately available data to help with predictions. A lot of this data research has enabled local authorities to plan their response – whether that is to deploy tightly available medical resources like ventilators or how and when to enforce policies to social distance including lockdowns. On one hand, this paper shows what accuracy of research brings to enable fighting this disease; while on the other hand it also shows what lack of response from local authorities can do in spreading this virus. This is our attempt in compiling different research methods and comparing their accuracy in predicting the spread of COVID-19.
Mar 2022Published in Artificial Intelligence Review volume 55 issue 3 on pages 1607-1628. 10.1007/s10462-021-09988-w