Network model and analysis of the spread of Covid-19 with social distancing

[1]  M. Perc,et al.  Early spread of COVID-19 in Romania: imported cases from Italy and human-to-human transmission networks , 2020, Royal Society Open Science.

[2]  Xavier Allamigeon,et al.  Forecasting the local progression of the Covid-19 epidemic from medical emergency calls: the example of the Paris area , 2020, ArXiv.

[3]  S. Gaubert,et al.  Understanding and monitoring the evolution of the Covid-19 epidemic from medical emergency calls: the example of the Paris area , 2020, Comptes Rendus. Mathématique.

[4]  A. Vespignani,et al.  Modeling the impact of social distancing, testing, contact tracing and household quarantine on second-wave scenarios of the COVID-19 epidemic , 2020, medRxiv.

[5]  Alexis Akira Toda,et al.  The effect of social distancing on the reach of an epidemic in social networks , 2020, Journal of Economic Interaction and Coordination.

[6]  T. Inglesby.  Public Health Measures and the Reproduction Number of SARS-CoV-2. , 2020, JAMA.

[7]  A. Sehgal,et al.  Time-Varying COVID-19 Reproduction Number in the United States , 2020, medRxiv.

[8]  Isabel J. Raabe,et al.  Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world , 2020, Nature Human Behaviour.

[9]  Alexis Akira Toda.  Susceptible-Infected-Recovered (SIR) Dynamics of COVID-19 and Economic Impact , 2020, 2003.11221.

[10]  Nuno R. Faria,et al.  The effect of human mobility and control measures on the COVID-19 epidemic in China , 2020, Science.

[11]  Jessica T Davis,et al.  The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak , 2020, Science.

[12]  Cheng-Shang Chang,et al.  A Time-dependent SIR model for COVID-19 , 2020, ArXiv.

[13]  Alessandro Vespignani,et al.  Measurability of the epidemic reproduction number in data-driven contact networks , 2018, Proceedings of the National Academy of Sciences.

[14]  L. F. White,et al.  Quantifying TB transmission: a systematic review of reproduction number and serial interval estimates for tuberculosis , 2018, Epidemiology and Infection.

[15]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[16]  Hilde van der Togt,et al.  Publisher's Note , 2003, J. Netw. Comput. Appl..

[17]  A. Andrew,et al.  Emergence of Scaling in Random Networks , 1999 .

[18]  P. Erdos,et al.  On the evolution of random graphs , 1984 .

[19]  B. Bollobás.  The evolution of random graphs , 1984 .