Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei

Van Mieghem, Piet

Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei

Posted on 2020-07-09 - 05:22

Abstract At the moment of writing, the future evolution of the COVID-19 epidemic is unclear. Predictions of the further course of the epidemic are decisive to deploy targeted disease control measures. We consider a network-based model to describe the COVID-19 epidemic in the Hubei province. The network is composed of the cities in Hubei and their interactions (e.g., traffic flow). However, the precise interactions between cities is unknown and must be inferred from observing the epidemic. We propose the Network-Inference-Based Prediction Algorithm (NIPA) to forecast the future prevalence of the COVID-19 epidemic in every city. Our results indicate that NIPA is beneficial for an accurate forecast of the epidemic outbreak.

CITE THIS COLLECTION

DataCite

3 Biotech

3D Printing in Medicine

3D Research

3D-Printed Materials and Systems

4OR

AAPG Bulletin

AAPS Open

AAPS PharmSciTech

Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg

ABI Technik (German)

Academic Medicine

Academic Pediatrics

Academic Psychiatry

Academic Questions

Academy of Management Discoveries

Academy of Management Journal

Academy of Management Learning and Education

Academy of Management Perspectives

Academy of Management Proceedings

Academy of Management Review

Prasse, Bastian; Achterberg, Massimo A.; Ma, Long; Van Mieghem, Piet (2020). Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.5054008.v1

https://doi.org/10.6084/m9.figshare.c.5054008.v1

or

Select your citation style and then place your mouse over the citation text to select it.