Generalized logistic growth modeling of the COVID-19 pandemic in Asia

Elinor Aviv-Sharon, Asaph Aharoni

Research output: Contribution to journalArticlepeer-review

Abstract

Several months into the ongoing novel coronavirus disease 2019 (COVID-19) pandemic, this work provides a simple and direct projection of the outbreak spreading potential and the pandemic cessation dates in Chinese mainland, Iran, the Philippines and Chinese Taiwan, using the generalized logistic model (GLM). The short-term predicted number of cumulative COVID-19 cases matched the confirmed reports of those who were infected across the four countries and regions, and the long-term forecasts were capable to accurately evaluate the spread of the pandemic in Chinese mainland and Chinese Taiwan, where control measures such as social distancing were fully implemented and sustained, suggesting GLM as a valuable tool for characterizing the transmission dynamics process and the trajectory of COVID-19 pandemic along with the impact of interventions.

Original languageEnglish
Pages (from-to)502-509
Number of pages8
JournalInfectious Disease Modelling
Volume5
Early online date24 Jul 2020
DOIs
StatePublished - 2020

All Science Journal Classification (ASJC) codes

  • Health Policy
  • Infectious Diseases
  • Applied Mathematics

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