The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China

By Hien Lau, Veria Khosrawipour, P. Kocbach, A. Mikołajczyk, Justyna Schubert, J. Bania, T. Khosrawipour. Journal of Travel Medicine, 2020

1,138 citations recorded by the source corpus.

Abstract Background With its epicenter in Wuhan, China, the COVID-19 outbreak was declared a public health emergency of international concern (PHEIC) by the World Health Organization (WHO). Consequently, many countries have implemented flight restrictions to China. China itself has imposed a lockdown of the population of Wuhan as well as the entire Hubei province. However, whether these two enormous measures have led to significant changes in the spread of COVID-19 cases remains unclear. Methods We analyzed available data on the development of confirmed domestic and international COVID-19 cases before and after lockdown measures. We evaluated the correlation of domestic air traffic to the number of confirmed COVID-19 cases and determined the growth curves of COVID-19 cases within China before and after lockdown as well as after changes in COVID-19 diagnostic criteria. Results Our findings indicate a significant increase in doubling time from 2 days (95% Confidence Interval, CI): 1.9–2.6), to 4 days (95% CI: 3.5–4.3), after imposing lockdown. A further increase is detected after changing diagnostic and testing methodology to 19.3 (95% CI: 15.1–26.3), respectively. Moreover, the correlation between domestic air traffic and COVID-19 spread became weaker following lockdown (before lockdown: r = 0.98, p < 0.05 vs. after lockdown: r = 0.91, p = NS). Conclusions A significantly decreased growth rate and increased doubling time of cases was observed, which is most likely due to Chinese lockdown measures. A more stringent confinement of people in high risk areas seem to have a potential to slow down the spread of COVID-19.

Subfields: Global and Planetary Change, Modeling and Simulation, Oncology

View Paper: https://www.semanticscholar.org/paper/1877f559552a8fd406a2f350641aef550133b517

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

  1. J. Hart

In Modeling and Simulation

  1. Sébastien Ourselin

In Oncology

  1. M. Jorge Cardoso
  2. W. Willett

Citations in the corpus