刘才兄, 陈伟, 张文增, 林胜红, 黄硕, 邓源, 张翠红, 张丽杰, 彭质斌, 王丽萍. 2020年北京市顺义区15岁及以上人群发热呼吸道疾病发病和就诊情况调查[J]. 疾病监测, 2022, 37(5): 629-634. DOI: 10.3784/jbjc.202111230608
引用本文: 刘才兄, 陈伟, 张文增, 林胜红, 黄硕, 邓源, 张翠红, 张丽杰, 彭质斌, 王丽萍. 2020年北京市顺义区15岁及以上人群发热呼吸道疾病发病和就诊情况调查[J]. 疾病监测, 2022, 37(5): 629-634. DOI: 10.3784/jbjc.202111230608
Liu Caixiong, Chen Wei, Zhang Wenzeng, Lin Shenghong, Huang Shuo, Deng Yuan, Zhang Cuihong, Zhang Lijie, Peng Zhibin, Wang Liping. Investigation of incidence of febrile respiratory illness and related hospital visits in local residents aged 15 years or older in Shunyi district, Beijing, 2020[J]. Disease Surveillance, 2022, 37(5): 629-634. DOI: 10.3784/jbjc.202111230608
Citation: Liu Caixiong, Chen Wei, Zhang Wenzeng, Lin Shenghong, Huang Shuo, Deng Yuan, Zhang Cuihong, Zhang Lijie, Peng Zhibin, Wang Liping. Investigation of incidence of febrile respiratory illness and related hospital visits in local residents aged 15 years or older in Shunyi district, Beijing, 2020[J]. Disease Surveillance, 2022, 37(5): 629-634. DOI: 10.3784/jbjc.202111230608

2020年北京市顺义区15岁及以上人群发热呼吸道疾病发病和就诊情况调查

Investigation of incidence of febrile respiratory illness and related hospital visits in local residents aged 15 years or older in Shunyi district, Beijing, 2020

  • 摘要:
      目的  了解2020年北京市顺义区15岁及以上人群发热呼吸道疾病(FRI)发病和就诊情况。
      方法  以顺义区医院为中心确定调查范围,采用多阶段抽样方法抽取该范围内15岁及以上社区人群,以在线调查方式完成调查。 计算人群FRI报告发病率和就诊率,并按照顺义区人口构成计算调整发病率和就诊率。 比较不同特征人群发病率和就诊率差异,并采用单因素和多因素logistic回归分析方法对人群就诊率可能的影响因素进行分析。
      结果  共完成2723例居民的调查,2020年居民自报发病率13.5%,调整发病率12.8%,不同职业、健康自评价状况和有无基础疾病史的人群间FRI发病率差异有统计学意义(P<0.05);2020年自报发病居民中221人选择医疗机构就诊,就诊率为60.2%,调整就诊率为57.7%。 多因素logistic回归分析发现,居民的年龄、职业、有无基础疾病史以及发病后出现的主要症状(如寒战、干咳等)为影响居民是否就诊的主要因素。
      结论  2020年在全球新型冠状病毒肺炎疫情大流行及我国“外防输入,内防反弹”防控策略背景下,北京市顺义区15岁及以上人群FRI发病率较高且就诊率明显增加。 该研究结果可为FRI负担的评估和防控干预提供参考。

     

    Abstract:
      Objective  To understand the incidence of febrile respiratory illness (FRI) and relate4d hospital visits in local residents aged ≥15 years in Shunyi district, Beijing, in 2020.
      Methods  The catchment area of Shunyi Hospital was used as the investigation area, and multi-stage sampling was conducted to select local residents aged ≥15 years for an online survey. The incidence rate of FRI and related hospital visit rate were calculated and adjusted according to the population composition in Shunyi. The differences in incidence rate and related hospital visit rate among the residents with different characteristics were compared. Univariate and multivariate logistic regression analyses were conducted to explore the factors influencing the hospital visits.
      Results  A total of 2723 local residents aged ≥15 years in Shunyi were surveyed. In 2020, the self-reported incidence rate of FRI was 13.5% and then adjusted to 12.8%. There were significant differences in FRI incidence among the residents with different occupations, self-reported health status and history of underlying disease (P<0.05). Of the residents who reported FRI, 221 visited hospitals, the hospital visit rate was 60.2% and then adjusted to 57.7%. The multivariate Logistic regression study revealed that age, occupation, underlying disease and post-illness symptoms (chill and dry cough) were the main influencing factors of hospital visits
      Conclusion  In the context of global COVID-19 pandemic and fighting against imported and reemerged COVID-19 in China, the incidence of FRI in the local residents in Shunyi was high and related hospital visit increased significantly. The results of this study can be used as reference for the disease burden evaluation, prevention and control of FRI.

     

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