Analysis of meteorological conditions and prediction of epidemic trend of 2019-nCoV infection in 2020
Bu, J.; Peng, D.-D.; Xiao, H.; Yue, Q.; Han, Y.; Lin, Y.; Hu, G.; Chen, J.
Show abstract
ObjectiveTo 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. MethodsThe 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. ResultsThis study found that the suitable temperature range for 2019-nCoV survival is (13-24 {degrees}C), among which 19{degrees}C 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 13-19 {degrees}C. 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 {degrees}C, which is not conducive to the survival and reproduction of coronaviruses, so the epidemic is expected to end. ConclusionsA 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 {degrees}C are all high-risk cities for 2019-nCoV transmission before June.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Spatio-temporal evolution of urban thermal environment and its driving factors: Case study of Nanjing, China 96%
- Evaluation method of ecosystem service value under complex ecological environment: A case study of Gansu Province, China 95%
- Time series cross-correlation between home range and number of infected people during the medium-term of the COVID-19 pandemic in a suburban city 95%
Similar papers in this journal
- The scRNA-seq expression profiling of the receptor ACE2 and the cellular protease TMPRSS2 reveals human organs susceptible to COVID-19 infection 93%
- Evaluating transmission heterogeneity and super-spreading event of COVID-19 in a metropolis of China 92%
- Understanding SARS-CoV-2 Infection and Dynamics with Long Term Wastewater based Epidemiological Surveillance 92%
Similar papers in this journal
- What is required to prevent a second major outbreak of the novel coronavirus SARS-CoV-2 upon lifting the metropolitan-wide quarantine of Wuhan city, China 95%
- Modelling the epidemic trend of the 2019 novel coronavirus outbreak in China 92%
- Evaluating the accuracy of different respiratory specimens in the laboratory diagnosis and monitoring the viral shedding of 2019-nCoV infections 89%
Similar papers in this journal
- COVID-19 risk assessment for the Tokyo Olympic Games 94%
- Early surveillance and public health emergency disposal measures between novel coronavirus disease 2019 and avian influenza in China: a case-comparison study 93%
- Relationship between COVID-19 pandemic and ecological, economic, and social characteristics 93%
Similar papers in this journal
- Transmissibility of coronavirus disease 2019 (COVID-19) in Chinese cities with different transmission dynamics of imported cases 94%
- The Effects of "Fangcang, Huoshenshan, and Leishenshan" Makeshift Hospitals and Temperature on the Mortality of COVID-19 94%
- Prediction of antiviral drugs against African Swine Fever Viruses based on protein-protein interaction analysis 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.