基于医疗卫生大数据的金华市肺炎支原体感染流行特征分析

Epidemiological characteristics of mycoplasma pneumoniae infections in jinhua city from 2023 to 2024 based on medical and health big data

  • 摘要:
    目的 分析金华市肺炎支原体(Mycoplasma pneumoniae, MP)感染的发病率及时空、人群分布特征,为区域精准防控提供循证依据。
    方法 收集2023-2024年金华市MP感染检测数据及常住人口数据,SQL算法提取清洗数据(剔除重复记录),按实验室标准判定阳性病例。运用R studio、JoinPoint 5.0.2等软件,通过χ2检验、JoinPoint回归、空间自相关分析及Poisson时空扫描模型,分析MP感染流行特征,以相对危险度(RR)及95%CI评价发病风险(α=0.05)。
    结果 2023-2024年金华市累计报告MP感染阳性病例156062例,年均发病率1092.13/10万;2024年发病率(995.72/10万)较2023年(1189.03/10万)显著下降(χ2=1235.838,P<0.001)。时间上,2023年11月-2024年1月为流行高峰,JoinPoint回归识别3个转折点,2023年9-12月发病率快速上升(APC=85.04%,P=0.040),2024年1-6月显著下降(APC=−30.04%,P=0.041)。空间上,义乌市、东阳市、永康市为高发区(年均发病率>1200/10万),MP感染呈显著空间正相关(Moran’I=0.138,P=0.003),局部高-高聚集区集中于东阳市、义乌市6个街道;时空扫描识别6个高风险区,2023年11月-2024年1月东北部聚集区风险最高(RR=4.58,LLR=24342.12,P<0.001)。人群中,女性发病率(1158.34/10万)高于男性(1032.86/10万,χ2=259.561,P<0.001);5-9岁组发病率最高(7573.02/10万),25-44岁男性发病风险显著低于女性(RR=0.46,P<0.001),≥65岁男性风险高于女性(RR=1.52,P<0.001)。
    结论 金华市MP感染的流行具有显著季节性、空间聚集性及人群异质性。5-9岁儿童及义乌市、东阳市、永康市为防控重点,研究结果为制定分区域、分人群精准防控策略提供数据支撑。

     

    Abstract:
    Objective To analyze the incidence rate and spatio-temporal as well as population distribution characteristics of Mycoplasma pneumoniae (MP) infections in Jinhua City, and provide an evidence-based basis for targeted regional prevention and control of MP infections.
    Methods MP infection detection data and permanent population data of Jinhua City from 2023 to 2024 were collected. Data were extracted and cleaned using SQL algorithm (duplicate records were excluded), and positive cases were identified in accordance with laboratory standards. Software including R studio and JoinPoint 5.0.2 was used to analyze the epidemiological characteristics of MP infections through chi-square test, JoinPoint regression, spatial autocorrelation analysis, and Poisson spatio-temporal scan statistic model. Relative risk (RR) and 95% confidence interval (CI) were used to evaluate the infection risk, with a significance level of α=0.05.
    Results A total of 156,062 positive MP infection cases were reported in Jinhua City from 2023 to 2024, with an average annual incidence rate of 1,092.13 per 100,000 population. The incidence rate in 2024 (995.72 per 100,000 population) decreased significantly compared with that in 2023 (1,189.03 per 100,000 population) (χ2=1,235.838, P<0.001). Temporally, the epidemic peak occurred from November 2023 to January 2024. Three inflection points were identified by JoinPoint regression: the incidence rate increased rapidly from September to December 2023 (Annual Percent Change, APC=85.04%, P=0.040) and decreased significantly from January to June 2024 (APC=−30.04%, P=0.041). Spatially, Yiwu City, Dongyang City, and Yongkang City were high-incidence areas (average annual incidence rate >1,200 per 100,000 population). MP infections showed significant positive spatial correlation (Moran’I=0.138, P=0.003), with local high-high aggregation areas concentrated in 6 streets of Dongyang City and Yiwu City. Six high-risk areas were identified by spatio-temporal scan, among which the northeastern aggregation area from November 2023 to January 2024 had the highest risk (RR=4.58, Log Likelihood Ratio, LLR=24,342.12, P<0.001). In terms of population distribution, the incidence rate in females (1,158.34 per 100,000 population) was higher than that in males (1,032.86 per 100,000 population) (χ2=259.561, P<0.001). The 5−9 years old group had the highest incidence rate (7,573.02 per 100,000 population). Males aged 25-44 years had significantly lower infection risk than females (RR=0.46, P<0.001), while males aged ≥65 years had higher risk than females (RR=1.52, P<0.001).
    Conclusion The MP infections in Jinhua City presents a significant seasonal fluctuations, spatial aggregation, and population heterogeneity. Children aged 5−9 years and the regions of Yiwu City, Dongyang City, and Yongkang City are the key targets for MP infection prevention and control. The research findings provide data support for formulating region-specific and population-specific targeted prevention and control strategies.

     

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