How Human Mobility Models Can Help to Deal with COVID-19
Título
How Human Mobility Models Can Help to Deal with COVID-19
Autor
Enrique Hernández-Orallo, Antonio Armero-Martínez
Descripción
One of the key factors for the spreading of human infections, such as the COVID-19, is human mobility. There is a huge background of human mobility models developed with the aim of evaluating the performance of mobile computer networks, such as cellular networks, opportunistic networks, etc. In this paper, we propose the use of these models for evaluating the temporal and spatial risk of transmission of the COVID-19 disease. First, we study both pure synthetic model and simulated models based on pedestrian simulators, generated for real urban scenarios such as a square and a subway station. In order to evaluate the risk, two different risks of exposure are defined. The results show that we can obtain not only the temporal risk but also a heat map with the exposure risk in the evaluated scenario. This is particularly interesting for public spaces, where health authorities could make effective risk management plans to reduce the risk of transmission.
Fecha
2021
Materia
mobile computing, digital epidemiology, Mobility models, opportunistic networks
Identificador
10.3390/electronics10010033
Fuente
Epidemiology and Health
Editor
Korean Society of Epidemiology
Cobertura
Electronics
Colección
Citación
Enrique Hernández-Orallo, Antonio Armero-Martínez, “How Human Mobility Models Can Help to Deal with COVID-19,” SOCICT Open, consulta 19 de abril de 2026, https://www.socictopen.socict.org/items/show/6694.
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