Selected article for: "epidemic trend and future research"

Author: LiXiang Li; ZiHang Yang; ZhongKai Dang; Cui Meng; JingZe Huang; HaoTian Meng; DeYu Wang; GuanHua Chen; JiaXuan Zhang; HaiPeng Peng
Title: Propagation analysis and prediction of the COVID-19
  • Document date: 2020_3_18
  • ID: nf51yjmj_42
    Snippet: basic regenerations, the incubation period and the average number of days of cure. What's more, we predicted the evolution trend of the existing epidemic data, and found that imposing controls would have important impact on the epidemic [12] . In addition, according to the existing data abroad, we also make bold predictions of the epidemic development trends in South Korea, Italy, and Iran, pointing out the possible outbreaks and the correspondin.....
    Document: basic regenerations, the incubation period and the average number of days of cure. What's more, we predicted the evolution trend of the existing epidemic data, and found that imposing controls would have important impact on the epidemic [12] . In addition, according to the existing data abroad, we also make bold predictions of the epidemic development trends in South Korea, Italy, and Iran, pointing out the possible outbreaks and the corresponding control time, and tracing the earliest transmission dates of countries. Finally, we hope that this article can make some contributions to the world's response to this epidemic and give some references for future research.

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