Abstract：Objective To analyze the epidemiological characteristics of scarlet fever and the representativeness of surveillance system in Beijing from 2017 to 2020, to know the epidemic rule of scarlet fever, and to explore the factors affecting its onset. Methods Descriptive epidemiological methods were used to describe and analyze the incidence rate, case classification, demographic characteristics and onset time of scarlet fever from 2017 to 2020. Pearson correlation was used to analyze the correlations among the number of reported cases in sentinel hospitals, the positive rate of etiological detection of reported cases in sentinel hospitals and the number of reported scarlet fever cases in Beijing. Results From 2017 to 2020, 11,324 cases of scarlet fever were reported in Beijing. The number of reported cases and the incidence rate in 2017 were the highest (16.77/100,000), and the incidence rate showed a decreasing trend. The number of reported cases in peak incidence in winter (n=4,298) was higher than that in spring and summer (n=3,907). The proportion of male cases (60.65%) was higher than that of female ones (39.35%). The proportion of cases in the 3-9 age group was the highest (93.04%), mainly consisting of students (46.55%) and children in kindergartens (44.83%). The proportion of cases was higher in urban areas than in suburban areas (55.64% vs. 39.61%). 67.78% of cases from other provinces were reported by Beijing Children's Hospital. The proportion of clinically diagnosed cases was the highest (95.90%). The changing trend in the number of cases reported by sentinel hospitals of the surveillance system in Beijing was basically consistent with that in scarlet fever cases of the whole city (r=0.882, P<0.001). Conclusion The incidence rate of scarlet fever in Beijing in 2017-2020 showed an overall downward trend, and the peak season of the incidence had changed from spring and summer to winter. Most of the cases were clinically-diagnosed cases, and the majority of the cases were kindergarten children and primary and middle school students. The representation of surveillance system for scarlet fever in Beijing is high.
马春娜, 吴双胜, 段玮, 张莉, 孙瑛, 张姣姣, 杨鹏, 王全意. 2017—2020年北京市猩红热流行病学特征及监测系统代表性分析[J]. 实用预防医学, 2022, 29(12): 1435-1438.
MA Chun-na, WU Shuang-sheng, DUAN Wei, ZHANG Li, SUN Ying, ZHANG Jiao-jiao, YANG Peng, WANG Quan-yi. Epidemiological characteristics of scarlet fever and representative analysis of its surveillance system in Beijing, 2017-2020. , 2022, 29(12): 1435-1438.
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