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Effect of non-pharmaceutical interventions to contain COVID-19 in China.

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.

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Citations
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Journal ArticleDOI

Mobility network models of COVID-19 explain inequities and inform reopening.

TL;DR: A metapopulation susceptible–exposed–infectious–removed (SEIR) model that integrates fine-grained, dynamic mobility networks to simulate the spread of SARS-CoV-2 in ten of the largest US metropolitan areas is introduced and correctly predicts higher infection rates among disadvantaged racial and socioeconomic groups.
Journal ArticleDOI

High Temperature and High Humidity Reduce the Transmission of COVID-19

TL;DR: Wang et al. as mentioned in this paper investigated the relationship between the transmissibility of COVID-19 and the temperature/humidity, by controlling for various demographic, socioeconomic, geographic, healthcare and policy factors and correcting for cross-sectional correlation.
Journal ArticleDOI

Impact of lockdown on COVID-19 epidemic in Île-de-France and possible exit strategies.

TL;DR: A stochastic age-structured transmission model integrates data on age profile and social contacts in Île-de-France to assess the epidemic in the region, evaluate the impact of lockdown, and propose possible exit strategies and estimate their effectiveness.
References
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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.

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.
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