Characterizing pedestrian contact interaction trajectories to understand spreading risk in human crowds-Reference-Cited by-同舟云学术

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Characterizing pedestrian contact interaction trajectories to understand spreading risk in human crowds

Published:2024-09 Issue: Volume:81 Page:102358
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

Kwak Jaeyoung,Lees Michael H.,Cai Wentong

Funder

Government of Singapore Ministry of Education

Government of Singapore Ministry of Health

Publisher

Elsevier BV

Reference53 articles.

1. Link dynamics and protocol design in a multihop mobile environment;Samar;IEEE Trans. Mob. Comput.,2006

2. Impact of node mobility on link duration in multihop mobile networks;Wu;IEEE Trans. Veh. Technol.,2008

3. The scaling of contact rates with population density for the infectious disease models;Hu;Math. Biosci.,2013

4. Defining an epidemiological landscape that connects movement ecology to pathogen transmission and pace-of-life;Manlove;Ecol. Lett.,2022

5. Contact statistics in populations of noninteracting random walkers in two dimensions;Rast;Phys. Rev. E,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computation at the Cutting Edge of Science;Journal of Computational Science;2024-09

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