Quantifying human mobility behaviour changes during the COVID-19 outbreak in the United States
暂无分享,去创建一个
Lei Zhang | C. Xiong | A. Darzi | Yixuan Pan | A. Kabiri | Guangchen Zhao | W. Luo | Weiyu Luo | Chenfeng Xiong | Aref Darzi
[1] Mark Dredze,et al. The Twitter Social Mobility Index: Measuring Social Distancing Practices With Geolocated Tweets , 2020, Journal of medical Internet research.
[2] Yuan Wang,et al. Identifying airborne transmission as the dominant route for the spread of COVID-19 , 2020, Proceedings of the National Academy of Sciences.
[3] A. Kabiri,et al. Interactive COVID-19 Mobility Impact and Social Distancing Analysis Platform , 2020, medRxiv.
[4] Jianmin Jia,et al. Population flow drives spatio-temporal distribution of COVID-19 in China , 2020, Nature.
[5] Y. Liu,et al. What are the underlying transmission patterns of COVID-19 outbreak? An age-specific social contact characterization , 2020, EClinicalMedicine.
[6] Peng Wu,et al. Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study , 2020, The Lancet Public Health.
[7] Filippo Privitera,et al. Mobility Patterns and Income Distribution in Times of Crisis: U.S. Urban Centers During the COVID-19 Pandemic , 2020 .
[8] Pietro Cinaglia,et al. Epidemiology of Coronavirus Disease Outbreak: The Italian Trends. , 2020, Reviews on recent clinical trials.
[9] Dylan S. Small,et al. Protocol for an Observational Study on the Effects of Social Distancing on Influenza-Like Illness and COVID-19 , 2020, 2004.02944.
[10] Mark Dredze,et al. The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets , 2020, ArXiv.
[11] Song Gao,et al. Mapping county-level mobility pattern changes in the United States in response to COVID-19 , 2020, ACM SIGSPATIAL Special.
[12] Brent Skorup,et al. Aggregated Smartphone Location Data to Assist in Response to Pandemic , 2020 .
[13] Michael S. Warren,et al. Mobility Changes in Response to COVID-19 , 2020, ArXiv.
[14] M. Ienca,et al. On the responsible use of digital data to tackle the COVID-19 pandemic , 2020, Nature Medicine.
[15] Carl A. B. Pearson,et al. The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study , 2020, The Lancet Public Health.
[16] Haoyang Sun,et al. Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study , 2020, The Lancet Infectious Diseases.
[17] An Pan,et al. Evolving Epidemiology and Impact of Non-pharmaceutical Interventions on the Outbreak of Coronavirus Disease 2019 in Wuhan, China , 2020, medRxiv.
[18] Nuno R. Faria,et al. Utilizing general human movement models to predict the spread of emerging infectious diseases in resource poor settings , 2019, Scientific Reports.
[19] I. Bechmann,et al. Corpora amylacea in human hippocampal brain tissue are intracellular bodies that exhibit a homogeneous distribution of neo-epitopes , 2019, Scientific Reports.
[20] P. Tortora,et al. The polyglutamine protein ataxin-3 enables normal growth under heat shock conditions in the methylotrophic yeast Pichia pastoris , 2017, Scientific Reports.
[21] Mark Jit,et al. Projecting social contact matrices in 152 countries using contact surveys and demographic data , 2017, PLoS Comput. Biol..
[22] M. Biggerstaff,et al. Community Mitigation Guidelines to Prevent Pandemic Influenza — United States, 2017 , 2017, MMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports.
[23] M. Gatto,et al. Big-data-driven modeling unveils country-wide drivers of endemic schistosomiasis , 2017, Scientific Reports.
[24] David L. Smith,et al. Quantifying the Impact of Human Mobility on Malaria , 2012, Science.
[25] Dino Pedreschi,et al. Human mobility, social ties, and link prediction , 2011, KDD.
[26] Albert-László Barabási,et al. Understanding the Spreading Patterns of Mobile Phone Viruses , 2009, Science.
[27] Albert-László Barabási,et al. Understanding individual human mobility patterns , 2008, Nature.
[28] A. Comarow. How we ranked the plans. This year, 271 managed-care plans were analyzed 28 ways. , 1998, U.S. news & world report.
[29] D. Bryant,et al. Environmental indicators : a systematic approach to measuring and reporting on environmental policy performance in the context of sustainable development , 1995 .
[30] H. O. Wood,et al. Modified Mercalli intensity scale of 1931 , 1931 .