English

Challenges in control of Covid-19: short doubling time and long delay to effect of interventions

Populations and Evolution 2020-04-02 v1

Abstract

Early assessments of the spreading rate of COVID-19 were subject to significant uncertainty, as expected with limited data and difficulties in case ascertainment, but more reliable inferences can now be made. Here, we estimate from European data that COVID-19 cases are expected to double initially every three days, until social distancing interventions slow this growth, and that the impact of such measures is typically only seen nine days - i.e. three doubling times - after their implementation. We argue that such temporal patterns are more critical than precise estimates of the basic reproduction number for initiating interventions. This observation has particular implications for the low- and middle-income countries currently in the early stages of their local epidemics.

Keywords

Cite

@article{arxiv.2004.00117,
  title  = {Challenges in control of Covid-19: short doubling time and long delay to effect of interventions},
  author = {Lorenzo Pellis and Francesca Scarabel and Helena B. Stage and Christopher E. Overton and Lauren H. K. Chappell and Katrina A. Lythgoe and Elizabeth Fearon and Emma Bennett and Jacob Curran-Sebastian and Rajenki Das and Martyn Fyles and Hugo Lewkowicz and Xiaoxi Pang and Bindu Vekaria and Luke Webb and Thomas House and Ian Hall},
  journal= {arXiv preprint arXiv:2004.00117},
  year   = {2020}
}

Comments

Main text: 13 pages (1-13), 3 figures, 1 table; Supplementary Information: 9 pages (14-22), 4 figures, 1 table