Individual human mobility is the study that describes how individual humans move within a network or system. The concept has been researched by a number of fields originating in the study of demographics. Understanding human mobility has many applications in diverse areas, including spread of diseases, mobile viruses, city planning,Inferring land use from mobile phone activity JL Toole, M Ulm, MC González, D Bauer - Proceedings of the ACM SIGKDD international …, 2012 traffic engineering, financial market forecasting, and nowcasting of economic well-being.L. Pappalardo et al., Using Big Data to study the link between human mobility and socio-economic development, Proceedings of the 2015 IEEE International conference on Big Data, Santa Clara, CA, USA, 2015. On individual scale, daily human mobility can be explained by only 17 Network motifs. Each individual, shows one of these motifs characteristically, over a period of several months. This opens up the possibility to reproduce daily individual mobility using a tractable analytical model  Applications Infectious diseases spread across the globe usually because of long-distance travels of carriers of the disease. These long-distance travels are made using air transportation systems and it has been shown that "network topology, traffic structure, and individual mobility patterns are all essential for accurate predictions of disease spreading". On a smaller spatial scale the regularity of human movement patterns and its temporal structure should be taken into account in models of infectious disease spread. Cellphone viruses that are transmitted via bluetooth are greatly dependent on the human interaction and movements. With more people using similar operating systems for their cellphones, it's becoming much easier to have a virus epidemic  .
Individual human mobility is the study that describes how individual humans move within a network or system. The concept has been studied in a number of fields originating in the study of demographics. Understanding human mobility has many applications in diverse areas, including spread of diseases, mobile viruses, city planning,Inferring land use from mobile phone activity JL Toole, M Ulm, MC González, D Bauer - Proceedings of the ACM SIGKDD international …, 2012 traffic engineering, financial market forecasting, and nowcasting of economic well-being.L. Pappalardo et al., Using Big Data to study the link between human mobility and socio-economic development, Proceedings of the 2015 IEEE International conference on Big Data, Santa Clara, CA, USA, 2015. On individual scale, daily human mobility can be explained by only 17 Network motifs. Each individual, shows one of these motifs characteristically, over a period of several months. This opens up the possibility to reproduce daily individual mobility using a tractable analytical model Universal patterns of human flow in large urban areas in Japan's cities during rush hours and non rush hours have been studied by Yohei Shida et al . The patterns have been found to be analogous to river flows. Applications Infectious diseases spread across the globe usually because of long-distance travels of carriers of the disease. These long-distance travels are made using air transportation systems and it has been shown that "network topology, traffic structure, and individual mobility patterns are all essential for accurate predictions of disease spreading". On a smaller spatial scale the regularity of human movement patterns and its temporal structure should be taken into account in models of infectious disease spread. Cellphone viruses that are transmitted via bluetooth are greatly dependent on the human interaction and movements. With more people using similar operating systems for their cellphones, it's becoming much easier to have a virus epidemic . The relation between traffic of people and the Covid-19 initial spread in China has been analyzed in Gross et al .
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Universal patterns of human flow in large urban areas in Japan's cities during rush hours and non rush hours have been studied by Yohei Shida et al . The patterns have been found to be analogous to river flows.
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. The relation between traffic of people and the Covid-19 initial spread in China has been analyzed in Gross et al