《MedRixv,2月18日,Analysis of meteorological conditions and prediction of epidemic trend of 2019-nCoV infection in 2020》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2020-02-20
  • Analysis of meteorological conditions and prediction of epidemic trend of 2019-nCoV infection in 2020

    Jin Bu, Dong-Dong Peng, Hui Xiao, Qian Yue, Yan Han, Yu Lin, Gang Hu, Jing Chen

    doi: https://doi.org/10.1101/2020.02.13.20022715

    Abstract

    Objective: To investigate the meteorological condition for incidence and spread of 2019-nCoV infection, to predict the epidemiology of the infectious disease, and to provide a scientific basis for prevention and control measures against the new disease. Methods: The meteorological factors during the outbreak period of the novel coronavirus pneumonia in Wuhan in 2019 were collected and analyzed, and were confirmed with those of Severe Acute Respiratory Syndrome (SARS) in China in 2003. Data of patients infected with 2019-nCoV and SARS coronavirus were collected from WHO website and other public sources. Results: This study found that the suitable temperature range for 2019-nCoV coronavirus survival is (13-24 degree Celsius), among which 19 degree Celsius lasting about 60 days is conducive to the spread between the vector and humans; the humidity range is 50%-80%, of which about 75% humidity is conducive to the survival of the coronavirus; the suitable precipitation range is below 30 mm/ month. Cold air and continuous low temperature over one week are helpful for the elimination of the virus. The prediction results show that with the approach of spring, the temperature in north China gradually rises, and the coronavirus spreads to middle and high latitudes along the temperature line of 13-18 degree Celsius. The population of new coronavirus infections is concentrated in Beijing, Tianjin, Hebei, Jiangsu, Zhejiang, Shanghai and other urban agglomerations. Starting from May 2020, the Beijing-Tianjin-Hebei urban agglomeration, the Central China Zhengzhou-Wuhan urban agglomeration, the eastern Jiangsu-Zhejiang-Shanghai urban agglomeration, and the southern Pearl River Delta urban agglomeration are all under a high temperature above 24 degree Celsius, which is not conducive to the survival and reproduction of coronaviruses, so the epidemic is expected to end. Conclusions: A wide range of continuous warm and dry weather is conducive to the survival of 2019-nCoV. The coming of spring, in addition to the original Wuhan-Zhengzhou urban agglomeration in central China, means that the prevention and control measures in big cities located in mid-latitude should be strengthened, especially the monitoring of transportation hubs. The Pearl River Delta urban agglomeration is a concentrated area of population in south China, with a faster temperature rise than those in mid-high latitudes, and thus the prevention in this area should be prioritized. From a global perspective, cities with a mean temperature below 24 degree Celsius are all high-risk cities for 2019-nCoV transmission before June.

    *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/10.1101/2020.02.13.20022715v1
相关报告
  • 《 MedRxiv,2月18日,Analysis of meteorological conditions and prediction of epidemic trend of 2019-nCoV infection in 2020》

    • 来源专题:COVID-19科研动态监测
    • 编译者:xuwenwhlib
    • 发布时间:2020-02-19
    • Analysis of meteorological conditions and prediction of epidemic trend of 2019-nCoV infection in 2020 Jin Bu, Dong-Dong Peng, Hui Xiao, Qian Yue, Yan Han, Yu Lin, Gang Hu, Jing Chen doi: https://doi.org/10.1101/2020.02.13.20022715 Abstract Objective: To investigate the meteorological condition for incidence and spread of 2019-nCoV infection, to predict the epidemiology of the infectious disease, and to provide a scientific basis for prevention and control measures against the new disease. Methods: The meteorological factors during the outbreak period of the novel coronavirus pneumonia in Wuhan in 2019 were collected and analyzed, and were confirmed with those of Severe Acute Respiratory Syndrome (SARS) in China in 2003. Data of patients infected with 2019-nCoV and SARS coronavirus were collected from WHO website and other public sources. Results: This study found that the suitable temperature range for 2019-nCoV coronavirus survival is (13-24 degree Celsius), among which 19 degree Celsius lasting about 60 days is conducive to the spread between the vector and humans; the humidity range is 50%-80%, of which about 75% humidity is conducive to the survival of the coronavirus; the suitable precipitation range is below 30 mm/ month. Cold air and continuous low temperature over one week are helpful for the elimination of the virus. The prediction results show that with the approach of spring, the temperature in north China gradually rises, and the coronavirus spreads to middle and high latitudes along the temperature line of 13-18 degree Celsius. The population of new coronavirus infections is concentrated in Beijing, Tianjin, Hebei, Jiangsu, Zhejiang, Shanghai and other urban agglomerations. Starting from May 2020, the Beijing-Tianjin-Hebei urban agglomeration, the Central China Zhengzhou-Wuhan urban agglomeration, the eastern Jiangsu-Zhejiang-Shanghai urban agglomeration, and the southern Pearl River Delta urban agglomeration are all under a high temperature above 24 degree Celsius, which is not conducive to the survival and reproduction of coronaviruses, so the epidemic is expected to end. Conclusions: A wide range of continuous warm and dry weather is conducive to the survival of 2019-nCoV. The coming of spring, in addition to the original Wuhan-Zhengzhou urban agglomeration in central China, means that the prevention and control measures in big cities located in mid-latitude should be strengthened, especially the monitoring of transportation hubs. The Pearl River Delta urban agglomeration is a concentrated area of population in south China, with a faster temperature rise than those in mid-high latitudes, and thus the prevention in this area should be prioritized. From a global perspective, cities with a mean temperature below 24 degree Celsius are all high-risk cities for 2019-nCoV transmission before June. *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.
  • 《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.