Research on Spatial Epidemic Dynamics Modelling of COVID-19 Outbreak: Take Nanjing as an Example

Peining Wang, Yiyang Li, Zihan Pan

2021

Abstract

On 20 July 2021, Nanjing Lukou International Airport in JiangNing District, Nanjing, Jiangsu Province, China, reported six positive test results samples taken by airport staff. By 25 August, there were 235 COVID-19 cases confirmed in Nanjing and 596 cases in Yangzhou. Inspired by the models in Keeling and Rohani in 2002, we have built a model which introduced the commute parameters and commute sub-populations to simulate the spatial spread of the virus, including analyzed Nanjing and Yangzhou separately and combined the other two cities into consideration. We have discussed about two main situations about our spatial model, one about the isolated two cities Nanjing and Yangzhou interplay with the same R0 or separated R0, another about several cities in consideration interaction with their respective different R0.

Paper Citation

in Harvard Style

Wang P., Li Y. and Pan Z. (2021). Research on Spatial Epidemic Dynamics Modelling of COVID-19 Outbreak: Take Nanjing as an Example. In Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA, ISBN 978-989-758-589-0, pages 335-341. DOI: 10.5220/0011344100003437

in Bibtex Style

@conference{pmbda21,
author={Peining Wang and Yiyang Li and Zihan Pan},
title={Research on Spatial Epidemic Dynamics Modelling of COVID-19 Outbreak: Take Nanjing as an Example},
booktitle={Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,},
year={2021},
pages={335-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011344100003437},
isbn={978-989-758-589-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,
TI - Research on Spatial Epidemic Dynamics Modelling of COVID-19 Outbreak: Take Nanjing as an Example
SN - 978-989-758-589-0
AU - Wang P.
AU - Li Y.
AU - Pan Z.
PY - 2021
SP - 335
EP - 341
DO - 10.5220/0011344100003437