Wei Fengying, Zhou Ruiyang, Jin Zhen, Huang Senzhong, Peng Zhihang, Wang Jinjie, Xu Ximing, Zhang Xinyan, Xu Jun, Bai Yao, Wang Xiaoli, Lu Bulai, Wang Zhaojun, Xu Jianguo
School of Mathematics and Statistics, Fuzhou University, Fuzhou, 350116, Fujian, China.
Center for Applied Mathematics of Fujian Province, Fuzhou University, Fuzhou, 350116, Fujian, China.
Infect Dis Model. 2023 Aug 18;8(4):1050-1062. doi: 10.1016/j.idm.2023.08.004. eCollection 2023 Dec.
A COVID-19 outbreak in the rural areas of Shijiazhuang City was attributed to the complex interactions among vaccination, host, and non-pharmaceutical interventions (NPIs). Herein, we investigated the epidemiological characteristics of all reported symptomatic cases by picking Shijiazhuang City, Hebei Province in Northern China as research objective. In addition, we established a with age-group mathematical model to perform the optimal fitting and to investigate the dynamical profiles under three scenarios.
All reported symptomatic cases of Shijiazhuang epidemic (January 2-February 3, 2021) were investigated in our study. The cases were classified by gender, age group and location, the distributions were analyzed by epidemiological characteristics. Furthermore, the reported data from Health Commission of Hebei Province was also analyzed by using an age-group mathematical model by two phases and three scenarios.
Shijiazhuang epidemic caused by SARS-CoV-2 wild strain was recorded with the peak 84 cases out of 868 reported symptomatic cases on January 11, 2021, which was implemented with strong NPIs by local government and referred as baseline situation in this study. The research results showed that under baseline situation ranged from 4.47 to 7.72, and of Gaocheng Distinct took 3.72 with 95% confidence interval from 3.23 to 4.35 on January 9, the declining tendencies of under baseline situation were kept till February 3, the value of reached below 1 on January 19 and remained low value up to February 3 for Gaocheng District and Shijiazhuang City during Shijiazhuang epidemic. This indicated Shijiazhuang epidemic was under control on January 19. However, if the strong NPIs were kept, but remote isolation operated on January 11 was not implemented as of February 9, then the scale of Shijiazhuang epidemic reached 9482 cases from age group who were 60 years old and over out of 31,017 symptomatic cases. The investigation also revealed that Shijiazhuang epidemic reached 132,648 symptomatic cases for age group who were 60 years old and over (short for G2) under risk-based strategies (Scenario A), 58,048 symptomatic cases for G2 under late quarantine strategies (Scenario B) and 207,124 symptomatic cases for G2 under late quarantine double risk strategies (Scenario C), and that the corresponding transmission tendencies of for three scenarios were consistently controlled on Jan 29, 2021. Compared with baseline situation, the dates for controlling below 1 under three scenarios were delayed 10 days.
Shijiazhuang epidemic was the first COVID-19 outbreak in the rural areas in Hebei Province of Northern China. The targeted interventions adopted in early 2021 were effective to halt the transmission due to the implementation of a strict and village-wide closure. However we found that age group profile and NPIs played critical rules to successfully contain Shijiazhuang epidemic, which should be considered by public health policies in rural areas of mainland China during the dynamic zero-COVID policy.
石家庄市农村地区的新冠疫情归因于疫苗接种、宿主和非药物干预措施(NPIs)之间的复杂相互作用。在此,我们以中国北方河北省石家庄市为研究对象,调查了所有报告的有症状病例的流行病学特征。此外,我们建立了一个按年龄组划分的数学模型,以进行最优拟合,并研究三种情景下的动态情况。
我们对石家庄市疫情(2021年1月2日至2月3日)所有报告的有症状病例进行了调查。病例按性别、年龄组和地点进行分类,通过流行病学特征分析分布情况。此外,还通过一个按年龄组划分的数学模型分两个阶段和三种情景对河北省卫生健康委员会报告的数据进行了分析。
由新冠病毒野生株引起的石家庄市疫情,在2021年1月11日报告的868例有症状病例中出现了84例的峰值,当时当地政府实施了强有力的非药物干预措施,本研究将其作为基线情况。研究结果显示,在基线情况下,R值在4.47至7.72之间,1月9日藁城区的R值为3.72,95%置信区间为3.23至4.35,在基线情况下,R值的下降趋势一直持续到2月3日,1月19日R值降至1以下,在石家庄市疫情期间,藁城区和石家庄市直至2月3日一直保持低值。这表明石家庄市疫情在1月19日得到了控制。然而,如果保持强有力的非药物干预措施,但截至2月9日未实施1月11日开始的远程隔离措施,那么石家庄市疫情在31017例有症状病例中,60岁及以上年龄组的规模将达到9482例。调查还显示,在基于风险的策略(情景A)下,石家庄市疫情中60岁及以上年龄组(简称G2)的有症状病例达到132648例,在后期检疫策略(情景B)下G2的有症状病例为58048例,在后期检疫双重风险策略(情景C)下G2的有症状病例为207124例,并且三种情景下相应的R值传播趋势在2021年1月29日得到了一致控制。与基线情况相比,三种情景下将R值控制在1以下的日期推迟了10天。
石家庄市疫情是中国北方河北省农村地区的首例新冠疫情。2021年初采取的针对性干预措施因实施了严格的全村封闭而有效地遏制了传播。然而,我们发现年龄组特征和非药物干预措施在成功控制石家庄市疫情方面发挥了关键作用,在中国大陆农村地区实施动态清零政策期间,公共卫生政策应予以考虑。