Zhao Zeyu, Yang Meng, Lv Jinlong, Hu Qingqing, Chen Qiuping, Lei Zhao, Wang Mingzhai, Zhang Hao, Zhai Xiongjie, Zhao Benhua, Su Yanhua, Chen Yong, Zhang Xu-Sheng, Cui Jing-An, Frutos Roger, Chen Tianmu
State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, People's Republic of China.
CIRAD, UMR 17, Intertryp, Montpellier, France.
Infect Dis Model. 2022 May 23;7(2):161-178. doi: 10.1016/j.idm.2022.05.003. eCollection 2022 Jun.
In China, the burden of shigellosis is unevenly distributed, notably across various ages and geographical areas. Shigellosis temporal trends appear to be seasonal. We should clarify seasonal warnings and regional transmission patterns.
This study adopted a Logistic model to assess the seasonality and a dynamics model to compare the transmission in different areas. The next-generation matrix was used to calculate the effective reproduction number ( ) to quantify the transmissibility.
In China, the rate of shigellosis fell from 35.12 cases per 100,000 people in 2005 to 7.85 cases per 100,000 people in 2017, peaking in June and August. After simulation by the Logistic model, the 'peak time' is mainly concentrated from mid-June to mid-July. China's 'early warning time' is primarily focused on from April to May. We predict the 'peak time' of shigellosis is the 6.30th month and the 'early warning time' is 3.87th month in 2021. According to the dynamics model results, the water/food transfer pathway has been mostly blocked off. The transmissibility of different regions varies greatly, such as the mean of Longde County (3.76) is higher than Xiamen City (3.15), higher than Chuxiong City (2.52), and higher than Yichang City (1.70).
The 'early warning time' for shigellosis in China is from April to May every year, and it may continue to advance in the future, such as the early warning time in 2021 is in mid-March. Furthermore, we should focus on preventing and controlling the person-to-person route of shigellosis and stratified deploy prevention and control measures according to the regional transmission.
在中国,志贺氏菌病负担分布不均,在不同年龄和地理区域尤其明显。志贺氏菌病的时间趋势似乎具有季节性。我们应明确季节性预警和区域传播模式。
本研究采用逻辑模型评估季节性,并使用动力学模型比较不同地区的传播情况。利用下一代矩阵计算有效繁殖数( )以量化传播能力。
在中国,志贺氏菌病发病率从2005年的每10万人35.12例降至2017年的每10万人7.85例,6月和8月达到峰值。经逻辑模型模拟,“高峰时间”主要集中在6月中旬至7月中旬。中国的“预警时间”主要集中在4月至5月。我们预测2021年志贺氏菌病的“高峰时间”为第6.30个月,“预警时间”为第3.87个月。根据动力学模型结果,水/食物传播途径大多已被阻断。不同地区的传播能力差异很大,如隆德县的平均 (3.76)高于厦门市(3.15),高于楚雄市(2.52),高于宜昌市(1.70)。
中国志贺氏菌病的“预警时间”为每年4月至5月,未来可能会继续提前,如2021年的预警时间在3月中旬。此外,我们应重点防控志贺氏菌病的人际传播途径,并根据区域传播情况分层部署防控措施。