The World Health Organization (WHO) declared monkeypox as a public health emergency of international concern (PHEIC) on July 23, 2022, their highest level of alert. This raised concerns about the management of the global monkeypox outbreak, as well as the scientific analysis and accurate prediction of the future course of the epidemic. This study used EpiSIX (an analysis and prediction system for epidemics based on a general SEIR model) to analyze the monkeypox epidemic and to forecast the major tendencies based on data from the USA CDC (https://www.cdc.gov) and the WHO (https://www.who.int/health-topics/monkeypox). The global outbreak of monkeypox started in the UK on May 2, 2022, which marked the beginning of an epidemic wave. As of October 28, 2022, the cumulative number of reported cases worldwide was 77,115, with 36 deaths. EpiSIX simulations predict that the global monkeypox epidemic will enter a low epidemic status on March 1, 2023 with the cumulative number of confirmed cases ranging from 85,000 to 124,000, and the total number of deaths ranging from 60 to 87. Our analysis revealed that the basic reproduction number (R0) of monkeypox virus (MPXV) is near to 3.1 and the percentage of asymptomatic individuals is 13.1 %-14.5 %, both of which are similar to the data for SARS. The vaccination efficiency against susceptibility (VEs) of individuals who have had monkeypox is â¼Â 79 %, and the vaccination efficiency against infectiousness (VEi) of individuals who have had monkeypox is â¼Â 76 %-82 %. The mean incubation period for monkeypox is 8 days. In total, 94.7 % of infected individuals develop symptoms within 20 days and recover within 2 weeks after the confirmation of symptoms. Simulation results using EpiSIX showed that ring vaccination was remarkably effective against monkeypox. Our findings confirmed that a 20-day isolation for close contacts is necessary.
Study and prediction of the 2022 global monkeypox epidemic.
对2022年全球猴痘疫情的研究与预测
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作者:Wei Fengying, Peng Zhihang, Jin Zhen, Wang Jinjie, Xu Ximing, Zhang Xinyan, Xu Jun, Ren Zixiong, Bai Yao, Wang Xiaoli, Lu Bulai, Wang Zhaojun, Xu Jianguo, Huang Senzhong
| 期刊: | J Biosaf Biosecur | 影响因子: | 0.000 |
| 时间: | 2022 | 起止号: | 2022 Dec;4(2):158-162 |
| doi: | 10.1016/j.jobb.2022.12.001 | ||
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