Impact of Wuhan lockdown on the spread of COVID-19 in China: a study based on the data of population mobility.

This study aimed to quantitatively assess the effectiveness of the Wuhan lockdown measure on controlling the spread of coronavirus diesase 2019 (COVID-19). : Firstly,estimate the daily new infection rate in Wuhan before January 23,2020 when the city went into lockdown by consulting the data of Wuhan population mobility and the number of cases imported from Wuhan in 217 cities of Mainland China. Then estimate what the daily new infection rate would have been in Wuhan from January 24 to January 30th if the lockdown measure had been delayed for 7 days,assuming that the daily new infection in Wuhan after January 23 increased in a high,moderate and low trend respectively (using exponential, linear and logarithm growth models). Based on that,calculate the number of infection cases imported from Wuhan during this period. Finally,predict the possible impact of 7-day delayed lockdown in Wuhan on the epidemic situation in China using the susceptible-exposed-infectious-removed (SEIR) model. : The daily new infection rate in Wuhan was estimated to be 0.021%,0.026%,0.029%,0.033% and 0.070% respectively from January 19 to January 23. And there were at least 20 066 infection cases in Wuhan by January 23,2020. If Wuhan lockdown measure had been delayed for 7 days,the daily new infection rate on January 30 would have been 0.335% in the exponential growth model,0.129% in the linear growth model,and 0.070% in the logarithm growth model. Correspondingly,there would have been 32 075,24 819 and 20 334 infection cases travelling from Wuhan to other areas of Mainland China,and the number of cumulative confirmed cases as of March 19 in Mainland China would have been 3.3-3.9 times of the officially reported number. Conclusions: Timely taking city-level lockdown measure in Wuhan in the early stage of COVID-19 outbreak is essential in containing the spread of the disease in China.

[1]  Xifeng Wu,et al.  Evaluating the Control Strategies and Measures for COVID-19 Epidemic in Mainland China: A City-level Observational Study , 2020 .

[2]  A. Tatem,et al.  Effect of non-pharmaceutical interventions to contain COVID-19 in China , 2020, Nature.

[3]  Jianmin Jia,et al.  Population flow drives spatio-temporal distribution of COVID-19 in China , 2020, Nature.

[4]  Ruifu Yang,et al.  An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China , 2020, Science.

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

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

[7]  Changyu Fan,et al.  Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study , 2020, International journal of environmental research and public health.

[8]  Bo Wang,et al.  Epidemic size of novel coronavirus-infected pneumonia in the Epicenter Wuhan: using data of five-countries' evacuation action , 2020, medRxiv.

[9]  A. Wilder-Smith,et al.  Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak , 2020, Journal of travel medicine.

[10]  Xiaolin Zhu,et al.  Spatially Explicit Modeling of 2019-nCoV Epidemic Trend based on Mobile Phone Data in Mainland China , 2020, medRxiv.

[11]  Xinhai Li,et al.  Tracking the spread of novel coronavirus (2019-nCoV) based on big data , 2020, medRxiv.

[12]  Lei Wang,et al.  Incorporating Human Movement Data to Improve Epidemiological Estimates for 2019-nCoV , 2020, medRxiv.

[13]  G. Leung,et al.  Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study , 2020, The Lancet.

[14]  N. Linton,et al.  The Extent of Transmission of Novel Coronavirus in Wuhan, China, 2020 , 2020, Journal of clinical medicine.

[15]  Qun Li Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia , 2020 .