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Literature DB >> 32463088

Detecting early signals of COVID-19 global pandemic from network density.

Amanda M Y Chu¹, Agnes Tiwari^2,3, Mike K P So⁴.

Abstract

Entities: Disease Species

Keywords: Connectedness; coronavirus; disaster preparedness; epidemic risk management; healthcare analytics; population movement; time series

Mesh：

Year: 2020 PMID： 32463088 PMCID： PMC7542672 DOI： 10.1093/jtm/taaa084

Source DB: PubMed Journal: J Travel Med ISSN： 1195-1982 Impact factor: 8.490

× No keyword cloud information.

7 in total

1. The hidden geometry of complex, network-driven contagion phenomena.

Authors: Dirk Brockmann; Dirk Helbing
Journal: Science Date: 2013-12-13 Impact factor: 47.728

2. Preventing a covid-19 pandemic.

Authors: John Watkins
Journal: BMJ Date: 2020-02-28

Review 3. The reproductive number of COVID-19 is higher compared to SARS coronavirus.

Authors: Ying Liu; Albert A Gayle; Annelies Wilder-Smith; Joacim Rocklöv
Journal: J Travel Med Date: 2020-03-13 Impact factor: 8.490

Review 4. Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine.

Authors: Shengjie Lai; Andrea Farnham; Nick W Ruktanonchai; Andrew J Tatem
Journal: J Travel Med Date: 2019-05-10 Impact factor: 8.490

Review 5. Visualizing COVID-19 pandemic risk through network connectedness.

Authors: Mike K P So; Agnes Tiwari; Amanda M Y Chu; Jenny T Y Tsang; Jacky N L Chan
Journal: Int J Infect Dis Date: 2020-05-08 Impact factor: 3.623

6. Characterizing the dynamics underlying global spread of epidemics.

Authors: Lin Wang; Joseph T Wu
Journal: Nat Commun Date: 2018-01-15 Impact factor: 14.919

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

Authors: Moritz U G Kraemer; Chia-Hung Yang; Bernardo Gutierrez; Chieh-Hsi Wu; Brennan Klein; David M Pigott; Louis du Plessis; Nuno R Faria; Ruoran Li; William P Hanage; John S Brownstein; Maylis Layan; Alessandro Vespignani; Huaiyu Tian; Christopher Dye; Oliver G Pybus; Samuel V Scarpino
Journal: Science Date: 2020-03-25 Impact factor: 47.728

7 in total

4 in total

Detecting early signals of COVID-19 global pandemic from network density.

1. The hidden geometry of complex, network-driven contagion phenomena.

2. Preventing a covid-19 pandemic.

Review 3. The reproductive number of COVID-19 is higher compared to SARS coronavirus.

Review 4. Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine.

Review 5. Visualizing COVID-19 pandemic risk through network connectedness.

6. Characterizing the dynamics underlying global spread of epidemics.

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

1. Assessing systemic risk in financial markets using dynamic topic networks.

2. Understanding small Chinese cities as COVID-19 hotspots with an urban epidemic hazard index.

3. Identifying the outbreak signal of COVID-19 before the response of the traditional disease monitoring system.

4. Dynamic Network Analysis of COVID-19 with a Latent Pandemic Space Model.