陆奇, 陆馨晨, 蔡煦玥, 于思雨, 刘汉昭, 陈素珍, 沈安梅. 新型冠状病毒感染疫情前后上海市浦东新区输入性疟疾特征差异性分析[J]. 上海预防医学, 2023, 35(10): 1011-1015. DOI: 10.19428/j.cnki.sjpm.2023.22937
引用本文: 陆奇, 陆馨晨, 蔡煦玥, 于思雨, 刘汉昭, 陈素珍, 沈安梅. 新型冠状病毒感染疫情前后上海市浦东新区输入性疟疾特征差异性分析[J]. 上海预防医学, 2023, 35(10): 1011-1015. DOI: 10.19428/j.cnki.sjpm.2023.22937
LU Qi, LU Xinchen, CAI Xuyue, YU Siyu, LIU Hanzhao, CHEN Suzhen, SHEN Anmei. Difference analysis of imported malaria characteristics in Pudong New Area of Shanghai before and after COVID-19[J]. Shanghai Journal of Preventive Medicine, 2023, 35(10): 1011-1015. DOI: 10.19428/j.cnki.sjpm.2023.22937
Citation: LU Qi, LU Xinchen, CAI Xuyue, YU Siyu, LIU Hanzhao, CHEN Suzhen, SHEN Anmei. Difference analysis of imported malaria characteristics in Pudong New Area of Shanghai before and after COVID-19[J]. Shanghai Journal of Preventive Medicine, 2023, 35(10): 1011-1015. DOI: 10.19428/j.cnki.sjpm.2023.22937

新型冠状病毒感染疫情前后上海市浦东新区输入性疟疾特征差异性分析

Difference analysis of imported malaria characteristics in Pudong New Area of Shanghai before and after COVID-19

  • 摘要:
    目的 描述新型冠状病毒感染(简称“新冠”)疫情前后上海市浦东新区输入性疟疾的差异,探讨新冠疫情隔离措施对疟疾防治可能产生的影响,为今后制定重大传染病防控期间的疟疾防治策略提供依据。
    方法 收集2017—2022年上海市浦东新区报告的疟疾病例信息,并将信息数据分为2个组,2017—2019年为新冠疫情前病例组,2020—2022年为新冠疫情后病例组,对2组病例的性别、年龄、分型、输入地、发病地、发病时间、初诊时间、确诊时间、住院及用药时长等信息进行分析。
    结果 新冠疫情前病例组21例,新冠疫情后病例组28例,均以男性、恶性疟为主。2组病例在是否常住上海、采取的预防措施、是否规范治疗方面的差异有统计学意义(均 P<0.05)。新冠疫情前发病至首诊间隔时间长于新冠疫情后(Z=-2.617,P<0.05);新冠疫情前首诊至确诊间隔时间、用药时长均短于新冠疫情后(Z=-3.381,P<0.05;Z=-4.148,P<0.05)。2组病例的性别、年龄、疟疾分型、感染来源地、发病地点、住院时长、并发症、重症、发病至确诊间隔时长差异无统计学意义(均P>0.05)。
    结论 新冠疫情暴发后,医疗优先计划使得疟疾患者就诊时间延长,加大了重症、死亡等风险。

     

    Abstract:
    Objective To describe the differences in imported malaria cases before and after the COVID-19 pandemic in Pudong New Area, Shanghai, to explore the possible impact of isolation measures during the pandemic on malaria, and to provide a basis for formulation of malaria control strategies during the prevention and control of major infectious diseases in the future.
    Methods Information on malaria cases reported in Pudong New Area from 2017 to 2022 was collected and divided into two groups: cases before the COVID-19 pandemic (2017‒2019) and cases after the COVID-19 pandemic (2020‒2022). Analysis was conducted on information such as gender, age, parasite species, country of infection, place of onset, time of onset, time of first diagnosis, time of confirmed diagnosis, hospitalization, and duration of treatment for both groups.
    Results The pre-COVID group consisted of 21 cases, and post-COVID group consisted of 28 cases, with male and falciparum malaria predominating in both groups. There were statistically significant differences between the two groups in terms of Shanghai residency status, use of preventive measures, and adherence to standardized treatment (P<0.05). The time interval from symptom onset to first diagnosis was longer in the pre-COVID group than that in the post-COVID group (Z=-2.617, P<0.05 ). The interval from the first diagnosis to the confirmed diagnosis and duration of treatment were shorter in the pre-COVID group than that in the post-COVID group (Z=-3.381, P<0.05; Z=-4.148, P<0.05). There was no significant difference in gender, age, malaria classification, source of infection, onset area, length of hospital stay, complications, severe cases, and interval between onset and diagnosis between the two groups (P>0.05).
    Conclusion After the outbreak of COVID-19, the medical priority plan prolongs the treatment time of malaria patients, increasing the risk of severe illness and death.

     

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