Analysis of COVID-19 spread based on confirmed cases in Japan

Authors

Kenji Sasaki ⋅ JP Center for Infectious Disease Education and Research (CiDER), Osaka University

Abstract

A novel coronavirus occurred in Wuhan in 2019 and spread throughout the world. More than two years later, the virus is still mutating and causing infections around the world. The purpose of this work is to find out the spread mechanism of COVID-19 based on the cases in Japan. The effects of the measures to restrict social activity, such as lockdown, are estimated by using the broken-link model.

About the Speaker

Kenji Sasaki, Center for Infectious Disease Education and Research (CiDER), Osaka University

Kenji Sasaki is a specially-appointed Associate Professor at the Center for Integrated Education and Research on Infectious Disease (CiDER) in Osaka University. He obtained his PhD at the Tokyo Institute of Technology. He has previously held positions as JSPS Research Fellow at the High Energy Accelerator Research Organisation, postdoctoral researcher at the Institute of Particle Physics in the University of Valencia, and the Research Centre for Computational Science in the University of Tsukuba, and specially-appointed Assistant Professor at the Yukawa Institute for Theoretical Physics in Kyoto University. His research involves the use of machine learning in the analysis of infectious disease situations and development of infection indicators for multi-antigen infectious diseases.

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Issue

2023: Proceedings of the 41st Samahang Pisika ng Pilipinas Physics Conference

Physics: Connecting islands of knowledge
19-21 July 2023, Del Carmen, Siargao Island

Please visit the SPP2023 activity webpage for more information on this year's Physics Congress.

Article ID

SPP-2023-INV-2G-02

Section

Invited Presentations

Published

2023-07-01

How to Cite

[1]

K Sasaki, Analysis of COVID-19 spread based on confirmed cases in Japan, Proceedings of the Samahang Pisika ng Pilipinas 41, SPP-2023-INV-2G-02 (2023). URL: https://proceedings.spp-online.org/article/view/SPP-2023-INV-2G-02.