Статья

1,000,000 cases of COVID-19 outside of China: The date predicted by a simple heuristic

W. Koczkodaj, M. Mansournia, W. Pedrycz, A. Wolny-Dominiak, P. Zabrodskii, D. Strzaška, T. Armstrong, A. Zolfaghari, M. Debski, J. Mazurek,
2020

We forecast 1,000,000 COVID-19 cases outside of China by March 31st, 2020 based on a heuristic and WHO situation reports. We do not model the COVID-19 pandemic; we model only the number of cases. The proposed heuristic is based on a simple observation that the plot of the given data is well approximated by an exponential curve. The exponential curve is used for forecasting the growth of new cases. It has been tested for the last situation report of the last day. Its accuracy has been 1.29% for the last day added and predicted by the 57 previous WHO situation reports (the date 18 March 2020). Prediction, forecast, pandemic, COVID-19, coronavirus, exponential growth curve parameter, heuristic, epidemiology, extrapolation, abductive reasoning, WHO situation report.

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Версии

  • 1. Version of Record от 2020-03-23

Метаданные

Об авторах
  • W. Koczkodaj
    Computer Science, Laurentian University, Sudbury, Ontario P3E 2C6, Canada
  • M. Mansournia
    Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  • W. Pedrycz
    Department of Electrical Computer Engineering, Alberta University, Ed- monton, Alberta, Canada
  • A. Wolny-Dominiak
    University of Economics in Katowice, 1 Maja 47, 40-287 Katowice, Poland
  • P. Zabrodskii
    Saratov Medical University, Reaviz, Saratov, Russian Federation
  • D. Strzaška
    Rzeszów University of Technology, Powsta«ców Warszawy 12, 35-959 Rzeszów, Poland
  • T. Armstrong
    Computer Science, Laurentian University, Sudbury, Ontario P3E 2C6, Canada
  • A. Zolfaghari
    Computer Science, Laurentian University, Sudbury, Ontario P3E 2C6, Canada
  • M. Debski
    Department of Sociology, University of Gda«sk, Gda«sk, Poland
  • J. Mazurek
    Silesian University in Opava, Opava, Czech Republic.
Название журнала
  • Global Epidemiology
Том
  • 2
Страницы
  • 100023
Издатель
  • Elsevier
Тип документа
  • journal article
Тип лицензии Creative Commons
  • CC BY
Правовой статус документа
  • Свободная лицензия
Источник
  • dimensions