Generalized logistic growth modeling of the COVID-19 pandemic in Asia
Authors:
- Elinor Aviv-SharonEAElinor Aviv-Sharon
- Asaph AharoniAAAsaph Aharoni
Open Access
- 1 January 2020
- journal article
- research article
- Published by KEAI Publishing in Infectious Disease Modelling
- Vol. 5, 502-509
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 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 the long-term forecasts were capable to accurately evaluate the spread of the pandemic in Chinese mainland and 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.Keywords
Funding Information
- Leona M. and Harry B. Helmsley Charitable Trust
This publication has 9 references indexed in Scilit:
- Temporal dynamics in viral shedding and transmissibility of COVID-19Nature Medicine, 2020
- Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreakInternational Journal of Infectious Diseases, 2020
- The reproductive number of COVID-19 is higher compared to SARS coronavirusJournal of Travel Medicine, 2020
- Perspectives on model forecasts of the 2014–2015 Ebola epidemic in West Africa: lessons and the way forwardBMC Medicine, 2017
- Inhibition of placental mTOR signaling provides a link between placental malaria and reduced birthweightBMC Medicine, 2017
- Richards model revisited: Validation by and application to infection dynamicsJournal of Theoretical Biology, 2012
- SARS Epidemiology ModelingEmerging Infectious Diseases, 2004
- Severe Acute Respiratory Syndrome Epidemic in AsiaEmerging Infectious Diseases, 2003
- A Flexible Growth Function for Empirical UseJournal of Experimental Botany, 1959