中国寄生虫学与寄生虫病杂志 ›› 2026, Vol. 44 ›› Issue (1): 42-49.doi: 10.12140/j.issn.1000-7423.2026.01.007

• 论著 • 上一篇    下一篇

2015—2024年广东省疟疾疫情特征分析

张嘉仪1()(), 卢文成1, 吴德1, 刘珺1, 廖宇煌1, 毛强1, 陈丽君1, 邓卓晖1, 张贤昌1, 夏志贵2, 陈经雕1,*()()   

  1. 1 广东省疾病预防控制中心广东广州 511400
    2 中国疾病预防控制中心寄生虫病预防控制所(国家热带病研究中心)传染病溯源预警与智能决策全国重点实验室,国家卫生健康委员会寄生虫病原与媒介生物学重点实验室,世界卫生组织热带病合作中心,科技部国家级热带病国际联合研究中心上海 200025
  • 收稿日期:2025-10-31 修回日期:2026-01-09 出版日期:2026-02-28 发布日期:2026-02-24
  • 通讯作者: 陈经雕(ORCID: 0009-0005-3311-7891),男,硕士,主任技师,从事寄生虫病防治工作。E-mail:1400137369@qq.com
  • 作者简介:张嘉仪(ORCID: 0000-0001-5077-9110),女,硕士,主管医师,从事寄生虫病防治工作。E-mail:jiayi_sysu@163.com
  • 基金资助:
    广东省疾病预防控制中心人才支持项目(2024D351);广东省医学科学技术研究基金项目(B2025814)

Epidemiological characteristics of malaria in Guangdong Province from 2015 to 2024

ZHANG Jiayi1()(), LU Wencheng1, WU De1, LIU Jun1, LIAO Yuhuang1, MAO Qiang1, CHEN Lijun1, DENG Zhuohui1, ZHANG Xianchang1, XIA Zhigui2, CHEN Jingdiao1,*()()   

  1. 1 Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511400, Guangdong, China
    2 National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention;Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking andForecasting for Infectious Diseases; NHC Key Laboratory on Parasite and Vector Biology; WHOCollaborating Centre for Tropical Diseases; National Center for International Research on TropicalDiseases, Ministry of Science and Technology, Shanghai 200025, China
  • Received:2025-10-31 Revised:2026-01-09 Online:2026-02-28 Published:2026-02-24
  • Contact: E-mail: 1400137369@qq.com
  • Supported by:
    Talent Support Program of Guangdong Provincial Center for Disease Control and Prevention(2024D351);Guangdong Provincial Medical Science and Technology Research Foundation(B2025814)

摘要:

目的 分析2015—2024年广东省报告的疟疾病例流行病学特征,为进一步完善疟疾防控策略、防止疟疾输入再传播提供科学依据。 方法 在中国疾病预防控制中心的传染病和寄生虫病防治信息系统中,收集2015—2024年广东省疟疾病例的报告信息及流行病学个案调查表。采用Microsoft Excel 2016和SPSS 26.0软件统计分析感染虫种、感染来源地、三间分布特征以及就诊和诊断情况。 结果 2015—2024年广东省共报告疟疾病例1 879例,其中境外输入性病例1 871例,输血感染病例2例,长潜伏期三日疟再燃病例6例,共报告死亡病例16例。2015—2019年度报告病例数总体呈上升趋势,新型冠状病毒感染疫情期间(2020—2022年)年均报告病例数均低于平均值。经实验室确诊,恶性疟1 559例(占83.0%),2015—2024年恶性疟占比为80.4%~86.8%。1 871例输入性病例中,1 785例(占95.4%)感染地为非洲。除潮州市外均有病例报告,主要集中在珠三角地区,共报告1 680例(占89.4%,1 680/1 879)。月报告病例数为1~65例,中位数为15例/月,年度疫情高峰通常出现在6月和8-10月。病例男女性别比为8.8:1;主要集中在30~39岁组(32.5%,611/1 879)和40~49岁组(26.7%,501/1 879)。病例共由191家机构报告,78.4%(1 474/1 879)的病例在发病3 d内就诊,恶性疟病例占比最高,达79.7%(1 242/1 559)(χ² = 8.17,P < 0.01)。初次诊断即诊断为疟疾的病例占83.1%(1 562/1 879)。初诊单位为地市级以上、县(市/区)级、基层医疗卫生机构的疟疾诊断正确率分别为90.6%(1 096/1 210)、81.7%(402/492)和36.2%(64/177),差异有统计学意义(χ² = 327.04, P < 0.01)。从就诊到确诊的中位时间为1 d,86.6%(1 627/1 879)的病例在就诊3 d内确诊,恶性疟病例在3 d内确诊的比例高于其他类型(χ² = 12.44,P < 0.01)。共报告69例(占3.7%,69/1 879)重症疟疾,感染虫种均为恶性疟原虫。 结论 广东省的疟疾输入风险持续上升,恶性疟病例占比高,今后应重点加强出入境人员健康教育以及提高基层医疗机构早期诊断能力。

关键词: 疟疾, 流行病学特征, 广东省

Abstract:

Objective To analyze the epidemiological characteristics of malaria cases reported in Guangdong Province from 2015 to 2024, so as to provide insights into improving the malaria control strategy and preventing re-establishment of imported malaria. Methods Data on malaria cases and epidemiological case investigation forms for malaria reported in Guangdong Province from 2015 to 2024 were collected from the Infectious Disease Reporting Information Management System and the Parasitic Disease Prevention and Control Information System of Chinese Center for Disease Control and Prevention. The malaria parasite species, origin of acquiring infections, and the temporal, spatial and population distribution characteristics, healthcare-seeking behaviors and diagnosis of malaria cases were statistically analyzed with the software Microsoft Excel 2016 and SPSS 26.0. Results A total of 1 879 malaria cases were reported in Guangdong Province from 2015 to 2024, including 1 871 overseas imported cases, 2 transfusion-transmitted cases, and 6 cases with recrudescent long-latency Plasmodium malariae malaria, and a total of 16 deaths occurred. The number of reported malaria cases appeared an overall tendency towards a rise from 2015 to 2019, and the annual average number of reported malaria cases was all lower during the COVID-19 pandemic (from 2020 to 2022) than the 10-year mean number. Laboratory confirmation showed 1 559 cases (83.0%) with P. falciparum malaria, and the proportion of P. falciparum malaria cases ranged from 80.4% to 86.8% in all malaria cases from 2015 to 2024. Among 1 871 imported malaria cases, 1 785 cases (95.4%) acquired infections in Africa. Malaria cases were reported across Guangdong Province except in Chaozhou City, and were primarily found in the Pearl River Delta region (1 680 cases, 89.4%). The monthly number of malaria cases was 1 to 65, with a median of 15 cases per month. The annual number of malaria cases peaked in June and during the period between August and October. The ratio of male to female cases was 8.8:1, and age distribution peaked at 30 to 39 years (32.5%, 611/1 879) and 40 to 49 years (26.7%, 501/1 879). Malaria cases were reported by 191 institutions, and 78.4% (1 472/1 879) of cases sought healthcare services within 3 days of onset, with a higher proportion seen among P. falciparum malaria cases (79.7%, 1 242/1 559) than among cases with other types of malaria (χ² = 8.17, P < 0.01). The proportion of correct initial diagnosis was 83.1% (1 562/1 879), and the percentages of correct initial diagnosis at city-level and higher, county (district)-level and grassroots healthcare facilities were 90.6% (1 096/1 210), 81.7% (402/492), and 36.2% (64/177), respectively (χ² = 327.04, P < 0.01). The median interval from healthcare-seeking to definitive diagnosis was 1 day, with 86.6% (1 627/1 879) of cases that were definitively diagnosed within 3 days of healthcare-seeking, and the proportion of P. falciparum malaria cases that were definitively diagnosed within 3 days was higher than that of cases with other types of malaria (χ² = 12.44, P < 0.01). Severe malaria was reported in 69 cases (3.7%, 69/1 879), all of which were caused by P. falciparum infection. Conclusion The risk of imported malaria continues to rise in Guangdong Province, with P. falciparum malaria predominating among reported cases. Future control efforts should focus on reinforcement of health education among individuals enter and exit China and improvements in the early-stage diagnostic capability in grassroots healthcare facilities.

Key words: Malaria, Epidemiological characteristics, Guangdong Province

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