Early dynamics of transmission and control of COVID-19: a mathematical modelling study

Author:

Kucharski Adam J,Russell Timothy W,Diamond Charlie,Liu Yang,Edmunds John,Funk SebastianORCID,Eggo Rosalind M,

Abstract

AbstractBackgroundAn outbreak of the novel coronavirus SARS-CoV-2 has led to 46,997 confirmed cases as of 13th February 2020. Understanding the early transmission dynamics of the infection and evaluating the effectiveness of control measures is crucial for assessing the potential for sustained transmission to occur in new areas.MethodsWe combined a stochastic transmission model with data on cases of novel coronavirus disease (COVID-19) in Wuhan and international cases that originated in Wuhan to estimate how transmission had varied over time during January and February 2020. Based on these estimates, we then calculated the probability that newly introduced cases might generate outbreaks in other areas.FindingsWe estimated that the median daily reproduction number, Rt, declined from 2.35 (95% CI: 1.15-4.77) one week before travel restrictions were introduced on 23rd January to 1.05 (95% CI: 0.413-2.39) one week after. Based on our estimates of Rt,we calculated that in locations with similar transmission potential as Wuhan in early January, once there are at least four independently introduced cases, there is a more than 50% chance the infection will establish within that population.InterpretationOur results show that COVID-19 transmission likely declined in Wuhan during late January 2020, coinciding with the introduction of control measures. As more cases arrive in international locations with similar transmission potential to Wuhan pre-control, it is likely many chains of transmission will fail to establish initially, but may still cause new outbreaks eventually.FundingWellcome Trust (206250/Z/17/Z, 210758/Z/18/Z), HDR UK (MR/S003975/1), Gates Foundation (INV-003174), NIHR (16/137/109)

Publisher

Cold Spring Harbor Laboratory

Reference25 articles.

1. World Health Organisation. Coronavirus disease 2019 (COVID-19). Situation Report 24. WHO; 2020.

2. nCoV-2019 Data Working Group. Epidemiological Data from the nCoV-2019 Outbreak: Early Descriptions from Publicly Available Data. 2020. XX ADD LINK XX

3. Camacho A , Kucharski A , Aki-Sawyerr Y , White MA , Flasche S , Baguelin M , et al. Temporal Changes in Ebola Transmission in Sierra Leone and Implications for Control Requirements: a Real-time Modelling Study. PLoS Curr Outbreaks. 2014;7.

4. The impact of control strategies and behavioural changes on the elimination of Ebola from Lofa County, Liberia;Philos Trans R Soc B Biol Sci,2017

5. Transmission Dynamics of the Etiological Agent of SARS in Hong Kong: Impact of Public Health Interventions;Science,2003

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