Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions

By Konstantinos Nikolopoulos, Sushil Punia, Andreas Schäfers, Christos Tsinopoulos, Chrysovalantis Vasilakis. European Journal of Operational Research, 2020

443 citations recorded by the source corpus.

Highlights • We provide predictive analytics tools for immediate use during COVID-19.• We use data from the UK, USA, India, Germany, Singapore up to mid-April 2020.• We forecast COVID-19 growth rates at country-level.• We use auxiliary data (Google trends) to model excess demand.• We forecast the excess demand for products and services at country-level.

Subfields: Economics and Econometrics, Management Science and Operations Research, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/5d522f0939305c746f251c81df352af3e1c42a23

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Fotios Petropoulos
  2. Konstantinos Nikolopoulos
  3. Rob J Hyndman
  4. Nikolaos Kourentzes
  5. Vassilios Assimakopoulos
  6. Evangelos Spiliotis
  7. Spyros Makridakis
  8. Christoph Bergmeir

In Management Science and Operations Research

  1. Fotios Petropoulos
  2. Rob J Hyndman
  3. Konstantinos Nikolopoulos
  4. Nikolaos Kourentzes
  5. Vassilios Assimakopoulos
  6. Spyros Makridakis
  7. Evangelos Spiliotis
  8. Christoph Bergmeir

In Modeling and Simulation

  1. Ezio Todini

Citations in the corpus