The effect of human mobility and control measures on the COVID-19 epidemic in China-Reference-Cited by-同舟云学术

The effect of human mobility and control measures on the COVID-19 epidemic in China

Published:2020-05 Issue:6490 Volume:368 Page:493-497
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Kraemer Moritz U. G.¹²³^ORCID,Yang Chia-Hung⁴,Gutierrez Bernardo¹⁵^ORCID,Wu Chieh-Hsi⁶^ORCID,Klein Brennan⁴^ORCID,Pigott David M.⁷^ORCID,du Plessis Louis¹^ORCID,Faria Nuno R.¹^ORCID,Li Ruoran⁸^ORCID,Hanage William P.⁸^ORCID,Brownstein John S.²³,Layan Maylis⁹¹⁰,Vespignani Alessandro⁴¹¹^ORCID,Tian Huaiyu¹²,Dye Christopher¹^ORCID,Pybus Oliver G.¹¹³^ORCID,Scarpino Samuel V.⁴^ORCID,

Affiliation:

1. Department of Zoology, University of Oxford, Oxford, UK.

2. Harvard Medical School, Harvard University, Boston, MA, USA.

3. Boston Children’s Hospital, Boston, MA, USA.

4. Network Science Institute, Northeastern University, Boston, MA, USA.

5. School of Biological and Environmental Sciences, Universidad San Francisco de Quito USFQ, Quito, Ecuador.

6. Mathematical Sciences, University of Southampton, Southampton, UK.

7. Institute for Health Metrics and Evaluation, Department of Health Metrics, University of Washington, Seattle, WA, USA.

8. Harvard T.H. Chan School of Public Health, Boston, MA, USA.

9. Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.

10. Sorbonne Université, Paris, France.

11. ISI Foundation, Turin, Italy.

12. State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.

13. Department of Pathobiology and Population Sciences, The Royal Veterinary College, London, UK.

Abstract

Tracing infection from mobility data What sort of measures are required to contain the spread of severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19)? The rich data from the Open COVID-19 Data Working Group include the dates when people first reported symptoms, not just a positive test date. Using these data and real-time travel data from the internet services company Baidu, Kraemer et al. found that mobility statistics offered a precise record of the spread of SARS-CoV-2 among the cities of China at the start of 2020. The frequency of introductions from Wuhan were predictive of the size of the epidemic sparked in other provinces. However, once the virus had escaped Wuhan, strict local control measures such as social isolation and hygiene, rather than long-distance travel restrictions, played the largest part in controlling SARS-CoV-2 spread. Science , this issue p. 493

Funder

Oxford Martin School, University of Oxford

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference39 articles.

1. COVID-19 control in China during mass population movements at New Year

2. A Novel Coronavirus from Patients with Pneumonia in China, 2019

3. An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China

4. Risk for Transportation of Coronavirus Disease from Wuhan to Other Cities in China

5. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study

Cited by 2216 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. A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency;Neural Networks;2024-11

2. Assessing the spatiotemporal evolution and socioeconomic determinants of PM2.5-related premature deaths in China from 2000 to 2021;Science of The Total Environment;2024-10

3. Federated Learning assisted framework to periodically identify user communities in urban space;Ad Hoc Networks;2024-10

4. Drivers of virulence and antimicrobial resistance in Gram-negative bacteria in different settings: A genomic perspective;Infection, Genetics and Evolution;2024-10

5. Administrative border effects in COVID-19 related mortality;Journal of the Royal Statistical Society Series A: Statistics in Society;2024-09-11