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Predicting human mobility through the assimilation of social media traces into mobility models

, , , and . EPJ Data Science, 5 (1): 30 (2016)

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Heterogeneous length of stay of hosts' movements and spatial epidemic spread, , and . CoRR, (2012)Using Participatory Web-based Surveillance Data to Improve Seasonal Influenza Forecasting in Italy., , and . WWW, page 303-310. ACM, (2017)Mobile phone data and COVID-19: Missing an opportunity?, , , , , , , , , and 14 other author(s). CoRR, (2020)Inequality, Crime and Public Health: A Survey of Emerging Trends in Urban Data Science., , , , and . CoRR, (2022)Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility., , , , , , , , , and 2 other author(s). BMC medicine, 7 (1): 45+ (Sep 14, 2009)Identifying urban features for vulnerable road user safety in Europe., , , and . EPJ Data Sci., 11 (1): 27 (2022)Predicting City Poverty Using Satellite Imagery., , , , , , , , , and . CVPR Workshops, page 90-96. Computer Vision Foundation / IEEE, (2019)DSAA 2018 Special Session: Data Science for Social Good., and . DSAA, page 470-471. IEEE, (2018)The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic., , , and . PLoS Comput. Biol., (2020)Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic, , , , , and . PLoS ONE, 6 (1): e16591+ (2011)