Scaling features in the spreading of COVID-19

doi:doi.org/10.1038/30918

D. J. Watts, S. H. Strogatz, Collective dynamics of ‘small-world’networks, Nature 393 (6684) (1998) 440 · 1998

Earlier work this paper cites.

T. Zhou, Q. Liu, Z. Yang, J. Liao, K. Yang, X. Lü, W. Zhang, Preliminary prediction of the basic reproduction number of the wuhan novel coronavirus 2019-ncov , arXiv:2001.10530 (2020). URL https://arxiv.org/abs/2001.10530

Original

2001

Earlier work this paper cites.

doi:10.1103/PhysRevLett.86.2909

M. Kuperman, G. Abramson, Small world effect in an epidemiological model, Phys. Rev. Lett. 86 (2001) 2909–2912 · 2001

Earlier work this paper cites.

T. Götz, First attempts to model the dynamics of the coronavirus outbreak 2020 , arXiv:2002.03821 (2020). URL https://arxiv.org/abs/2002.03821

Original

2002

Earlier work this paper cites.

J. Zhang, Testing case number of coronavirus disease 2019 in china with newcomb-benford law , arXiv:2002.05695 (2020). URL https://arxiv.org/abs/2002.05695

Original

2002

Earlier work this paper cites.

Y. Liang, D. Xu, S. Fu, K. Gao, J. Huan, L. Xu, J.-d. Li, A simple prediction model for the development trend of 2019-ncov epidemics based on medical observations , arXiv:2002.00426 (2020). URL https://arxiv.org/abs/2002.00426

Original

2002

Earlier work this paper cites.

Y. Chen, J. Cheng, Y. Jiang, K. Liu, A time delay dynamical model for outbreak of 2019-ncov and the parameter identification , arXiv:2002.00418 (2020). URL https://arxiv.org/abs/2002.00418

Original

2002

Cited alongside, same era.

L. Hébert-Dufresne, B. M. Althouse, S. V. Scarpino, A. Allard, Beyond r ​ _ ​ 0 r\_0 : the importance of contact tracing when predicting epidemics , arXiv:2002.04004 (2020). URL https://arxiv.org/abs/2002.04004

Original

2002

Cited alongside, same era.

B. F. Maier, D. Brockmann, Effective containment explains sub-exponential growth in confirmed cases of recent covid-19 outbreak in mainland china , arXiv:2002.07572 (2020). URL https://arxiv.org/abs/2002.07572

Original

2002

Cited alongside, same era.

A. Brandenburg, Quadratic growth during the 2019 novel coronavirus epidemic , arXiv:2002.03638 (2020). URL https://arxiv.org/abs/2002.03638

Original

2002

Cited alongside, same era.

doi:10.1101/2020.02.16.20023820

A. L. Ziff, R. M. Ziff, Fractal kinetics of covid-19 pandemic, medRxiv 2020.02.16.20023820 (2020) · 2020

Closest in time.

doi:10.1016/j.idm.2020.02.002

K. Roosa, Y. Lee, R. Luo, A. Kirpich, R. Rothenberg, J. Hyman, P. Yan, G. Chowell, Real-time forecasts of the 2019-ncov epidemic in china from february 5th to february 24th, 2020, Infectious Disease Modelling (2020) · 2020

Closest in time.

doi:10.1016/S0140-6736(20)30260-9

J. T. Wu, K. Leung, G. M. Leung, Nowcasting and forecasting the potential domestic and international spread of the 2019-ncov outbreak originating in Wuhan, China: a modelling study, The Lancet (2020) · 2020

Closest in time.

doi:10.1101/2020.02.01.20019984

H.-Y. Yuan, M. P. Hossain, M. M. Tsegaye, X. Zhu, P. Jia, T.-H. Wen, D. Pfeiffer, Estimating the risk on outbreak spreading of 2019-ncov in china using transportation data, medRxiv 2020.02.01.20019984 (2020) · 2020

Closest in time.

doi:10.1016/j.ijid.2020.01.050

S. Zhao, Q. Lin, J. Ran, S. S. Musa, G. Yang, W. Wang, Y. Lou, D. Gao, L. Yang, D. He, M. H. Wang, Preliminary estimation of the basic reproduction number of novel coronavirus (2019-ncov) in china, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak, International Journal of Infectious Diseases 92 (2020) 214 – 217 · 2020

Closest in time.