《MedRixv,2月11日,Feasibility of controlling 2019-nCoV outbreaks by isolation of cases and contacts》

  • 来源专题:COVID-19科研动态监测
  • 编译者: xuwenwhlib
  • 发布时间:2020-02-12
  • Feasibility of controlling 2019-nCoV outbreaks by isolation of cases and contacts

    Joel Hellewell, Sam Abbott, Amy Gimma, Nikos I Bosse, Christopher I Jarvis, Timothy W Russell, James D Munday, Adam J Kucharski, W John Edmunds, CMMID nCoV working group, Sebastian Funk, Rosalind M Eggo

    doi: https://doi.org/10.1101/2020.02.08.20021162

    Abstract

    Background: To assess the viability of isolation and contact tracing to control onwards transmission from imported cases of 2019-nCoV. Methods: We developed a stochastic transmission model, parameterised to the 2019-nCoV outbreak. We used the model to quantify the potential effectiveness of contact tracing and isolation of cases at controlling a 2019 nCoV-like pathogen. We considered scenarios that varied in: the number of initial cases; the basic reproduction number R0; the delay from symptom onset to isolation; the probability contacts were traced; the proportion of transmission that occurred before symptom onset, and the proportion of subclinical infections. We assumed isolation prevented all further transmission in the model. Outbreaks were deemed controlled if transmission ended within 12 weeks or before 5000 cases in total. We measured the success of controlling outbreaks using isolation and contact tracing, and quantified the weekly maximum number of cases traced to measure feasibility of public health effort. Findings: While simulated outbreaks starting with only 5 initial cases, R0 of 1.5 and little transmission before symptom onset could be controlled even with low contact tracing probability, the prospects of controlling an outbreak dramatically dropped with the number of initial cases, with higher R0, and with more transmission before symptom onset. Across different initial numbers of cases, the majority of scenarios with an R0 of 1.5 were controllable with under 50% of contacts successfully traced. For R0 of 2.5 and 3.5, more than 70% and 90% of contacts respectively had to be traced to control the majority of outbreaks. The delay between symptom onset and isolation played the largest role in determining whether an outbreak was controllable for lower values of R0. For higher values of R0 and a large initial number of cases, contact tracing and isolation was only potentially feasible when less than 1% of transmission occurred before symptom onset. Interpretation: We found that in most scenarios contact tracing and case isolation alone is unlikely to control a new outbreak of 2019-nCov within three months. The probability of control decreases with longer delays from symptom onset to isolation, fewer cases ascertained by contact tracing, and increasing transmission before symptoms. This model can be modified to reflect updated transmission characteristics and more specific definitions of outbreak control to assess the potential success of local response efforts.

    *注,本文为预印本论文手稿,是未经同行评审的初步报告,其观点仅供科研同行交流,并不是结论性内容,请使用者谨慎使用.

  • 原文来源:https://www.medrxiv.org/content/10.1101/2020.02.08.20021162v1
相关报告
  • 《LANCETGH,2月28日,Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-02-29
    • Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts Author links open overlay panelJoelHellewellPhDaSamAbbottPhDa*AmyGimmaMSca*Nikos IBosseBScaChristopher IJarvisPhDaTimothy WRussellPhDaJames DMundayMScaAdam JKucharskiPhDaProfW JohnEdmundsPhDa Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group Show more https://doi.org/10.1016/S2214-109X(20)30074-7 Summary Background Isolation of cases and contact tracing is used to control outbreaks of infectious diseases, and has been used for coronavirus disease 2019 (COVID-19). Whether this strategy will achieve control depends on characteristics of both the pathogen and the response. Here we use a mathematical model to assess if isolation and contact tracing are able to control onwards transmission from imported cases of COVID-19.
  • 《MedRixv,2月11日,Spatially Explicit Modeling of 2019-nCoV Epidemic Trend based on Mobile Phone Data in Mainland China》

    • 来源专题:COVID-19科研动态监测
    • 编译者:xuwenwhlib
    • 发布时间:2020-02-12
    • Spatially Explicit Modeling of 2019-nCoV Epidemic Trend based on Mobile Phone Data in Mainland China Xiaolin Zhu, Aiyin Zhang, Shuai Xu, Pengfei Jia, Xiaoyue Tan, Jiaqi Tian, Tao Wei, Zhenxian Quan, Jiali Yu doi: https://doi.org/10.1101/2020.02.09.20021360 Abstract In December 2019, Wuhan, China reported an outbreak of atypical pneumonia caused by the 2019 novel coronavirus (2019-nCoV). As of February 7, 2020, the total number of the confirmed cases in mainland China reached to 34,546 of whom 722 have died and 2,050 recovered. While most Chinese cities have confirmed cases, the city-level epidemical dynamics is unknown. The aim of this study is to model the dynamics of 2019-nCoV at city level and predict the trend under different scenarios in mainland China. We used mobile phone data and modified the classic epidemiological Susceptible - Infectious - Recovered (SIR) model to consider several unique characteristics of the outbreak of 2019-nCoV in mainland China. The modified SIR model was trained using the confirmed cases from January 25 to February 1 and validated by the data collected on February 2, 2020. The prediction accuracy of new infected cases on February 2 (R2 = 0.94, RMSE = 18.24) is higher than using the classic SIR model (R2 = 0.69, RMSE = 40.18). We used the trained model to predict the trend in the next 30 days (up to March 2, 2020) under different scenarios: keeping the early-stage trend, controlling the disease as successfully as SARS in 2003, and increasing person-to-person contacts due to work/school resuming. Results show that the total infected population in mainland China will be 10.53, 0.15, and 0.41 million and 67%, 100%, 91% Chinese cities will control the virus spreading by March 2, 2020 under the above three scenarios. Our study also provides the city-level spatial pattern of the epidemic trend for decision makers to allocate resources for controlling virus spreading. *注,本文为预印本论文手稿,是未经同行评审的初步报告,其观点仅供科研同行交流,并不是结论性内容,请使用者谨慎使用.