Effect of non-pharmaceutical interventions to contain COVID-19 in China.
Shengjie Lai,Shengjie Lai,Nick W. Ruktanonchai,Nick W. Ruktanonchai,Liangcai Zhou,Olivia Prosper,Wei Luo,Wei Luo,Jessica R. Floyd,Amy Wesolowski,Mauricio Santillana,Mauricio Santillana,Chi Zhang,Xiangjun Du,Hongjie Yu,Andrew J. Tatem +15 more
TLDR
A model of the effects of different non-pharmaceutical interventions on the spread of COVID-19 in China suggests that a strategy involving the rapid implementation of a combination of interventions is most effective.Abstract:
On 11 March 2020, the World Health Organization (WHO) declared coronavirus disease 2019 (COVID-19) a pandemic1. The strategies based on non-pharmaceutical interventions that were used to contain the outbreak in China appear to be effective2, but quantitative research is still needed to assess the efficacy of non-pharmaceutical interventions and their timings3. Here, using epidemiological data on COVID-19 and anonymized data on human movement4,5, we develop a modelling framework that uses daily travel networks to simulate different outbreak and intervention scenarios across China. We estimate that there were a total of 114,325 cases of COVID-19 (interquartile range 76,776–164,576) in mainland China as of 29 February 2020. Without non-pharmaceutical interventions, we predict that the number of cases would have been 67-fold higher (interquartile range 44–94-fold) by 29 February 2020, and we find that the effectiveness of different interventions varied. We estimate that early detection and isolation of cases prevented more infections than did travel restrictions and contact reductions, but that a combination of non-pharmaceutical interventions achieved the strongest and most rapid effect. According to our model, the lifting of travel restrictions from 17 February 2020 does not lead to an increase in cases across China if social distancing interventions can be maintained, even at a limited level of an on average 25% reduction in contact between individuals that continues until late April. These findings improve our understanding of the effects of non-pharmaceutical interventions on COVID-19, and will inform response efforts across the world. A model of the effects of different non-pharmaceutical interventions on the spread of COVID-19 in China suggests that a strategy involving the rapid implementation of a combination of interventions is most effective.read more
Citations
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Mobility network models of COVID-19 explain inequities and inform reopening.
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Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo'.
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TL;DR: The results indicate that, by using effective interventions, some countries could control the epidemic while avoiding stay-at-home orders, and this model accounts for uncertainty in key epidemiological parameters, such as the average delay from infection to death.
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References
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Journal ArticleDOI
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia.
Qun Li,Xuhua Guan,Peng Wu,Xiaoye Wang,Lei Zhou,Yeqing Tong,Ruiqi Ren,Kathy Leung,Eric H. Y. Lau,Jessica Y. Wong,Xuesen Xing,Nijuan Xiang,Yang Wu,Chao Li,Chen Qi,Dan Li,Tian Liu,Jing Zhao,Man Liu,Wenxiao Tu,Chuding Chen,Lianmei Jin,Rui Yang,Qi Wang,Suhua Zhou,Rui Wang,Hui Liu,Yingbo Luo,Yuan Liu,Ge Shao,Huan Li,Zhongfa Tao,Yang Yang,Yang Yang,Zhiqiang Deng,Boxi Liu,Zhitao Ma,Yanping Zhang,Guoqing Shi,Tommy Tsan-Yuk Lam,Joseph T. Wu,George F. Gao,George F. Gao,Benjamin J. Cowling,Bo Yang,Gabriel M. Leung,Zijian Feng +46 more
TL;DR: There is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019 and considerable efforts to reduce transmission will be required to control outbreaks if similar dynamics apply elsewhere.
Journal ArticleDOI
Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study.
TL;DR: It is inferred that epidemics are already growing exponentially in multiple major cities of China with a lag time behind the Wuhan outbreak of about 1–2 weeks, and that other major Chinese cities are probably sustaining localised outbreaks.
Journal ArticleDOI
The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China
TL;DR: The COVID-19 epidemic has spread very quickly and only took 30 days to expand from Hubei to the rest of Mainland China, with many people returning from a long holiday, China needs to prepare for the possible rebound of the epidemic.
Journal ArticleDOI
The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak.
Matteo Chinazzi,Jessica T. Davis,Marco Ajelli,Corrado Gioannini,Maria Litvinova,Stefano Merler,Ana Pastore y Piontti,Kunpeng Mu,Luca Rossi,Kaiyuan Sun,Cécile Viboud,Xinyue Xiong,Hongjie Yu,M. Elizabeth Halloran,M. Elizabeth Halloran,Ira M. Longini,Alessandro Vespignani,Alessandro Vespignani +17 more
TL;DR: The results suggest that early detection, hand washing, self-isolation, and household quarantine will likely be more effective than travel restrictions at mitigating this pandemic, and sustained 90% travel restrictions to and from mainland China only modestly affect the epidemic trajectory unless combined with a 50% or higher reduction of transmission in the community.
Journal ArticleDOI
The effect of human mobility and control measures on the COVID-19 epidemic in China.
Moritz U. G. Kraemer,Moritz U. G. Kraemer,Moritz U. G. Kraemer,Chia-Hung Yang,Bernardo Gutierrez,Bernardo Gutierrez,Chieh-Hsi Wu,Brennan Klein,David M. Pigott,Louis du Plessis,Nuno R. Faria,Ruoran Li,William P. Hanage,John S. Brownstein,John S. Brownstein,Maylis Layan,Maylis Layan,Alessandro Vespignani,Alessandro Vespignani,Huaiyu Tian,Christopher Dye,Oliver G. Pybus,Oliver G. Pybus,Samuel V. Scarpino +23 more
TL;DR: Real-time mobility data from Wuhan and detailed case data including travel history are used to elucidate the role of case importation in transmission in cities across China and to ascertain the impact of control measures.
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