中国寄生虫学与寄生虫病杂志 ›› 2020, Vol. 38 ›› Issue (5): 589-594.doi: 10.12140/j.issn.1000-7423.2020.05.010

• 论著 • 上一篇    下一篇

2010-2019年广西疟疾流行特征分析

黎军(), 韦树娇, 张伟尉, 林康明, 燕慧, 冯向阳   

  1. 广西壮族自治区疾病预防控制中心,南宁 530028
  • 收稿日期:2020-03-13 出版日期:2020-10-30 发布日期:2020-11-12
  • 作者简介:黎军(1968-),男,硕士,副主任医师,从事寄生虫病防治工作。E-mail:305596627@qq.com
  • 基金资助:
    广西卫计委科技项目(Z20170131)

Analysis of malaria epidemiological characteristics in Guangxi Province in 2010-2019

LI Jun(), WEI Shu-jiao, ZHANG Wei-wei, LIN Kang-ming, YAN Hui, FENG Xiang-yang   

  1. Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China
  • Received:2020-03-13 Online:2020-10-30 Published:2020-11-12
  • Supported by:
    Guangxi Health Commission Science and Technology Project(Z20170131)

摘要:

目的 分析2010-2019年广西消除疟疾阶段疟疾的流行特征和医疗卫生机构响应能力,为巩固消除疟疾成果提供科学依据。方法 通过寄生虫病防治信息管理系统收集2012-2019年广西疟疾疫情数据资料,2010和2011年数据通过整理“个案调查表”获得。采用SPSS 19.0软件统计分析感染虫种、输入国来源、疫情报告情况、三间分布及诊断情况等。结果 2010-2019年广西累计报告疟疾病例3 195例,其中本地原发病例1例(2012年),经输血感染病例1例(2015年)。其余3 193例为输入性病例,其中外国籍7例,死亡7例。输入性病例中,恶性疟占72.3%(2 310/3 193),间日疟占9.8%(314/3 193),卵形疟占13.9%(444/3 193),三日疟占1.4%(45/3 193),混合感染占2.1%(66/3 3 193);临床诊断病例为0.4%(14/3 193)。输入病例分布于广西14个地级市,占比排名前5位依次是南宁市(84.6%,2 700/3 193),桂林市(3.8%,120/3 193),河池市(3.5%,111/3 193),柳州市(1.5%,49/3 193),百色市(1.4%,45/3 193)。患者年龄主要为30~49岁(66.5%,2 123/3 193),男女性别比为49.7 ∶ 1。输入地来源涉及非洲33个国家(93.8%,2 994/3 193),东南亚9个国家(5.9%,187/3 193),美洲的圭亚那(0.1%,3/3 193)。县级疾病预防控制中心和医疗机构首诊病例数占就诊病例总数的80.4%(2 539/3 159),首诊为疟疾的确诊率为90.6%(2 862/3 159),各级医疗机构之间以及疾病预防控制中心与医疗机构之间确诊率差异有统计学意义(P < 0.05)。疟原虫判定正确率从高到低依次为恶性疟原虫(92.2%,2 114/2 292),卵形疟原虫(90.5%,402/444),间日疟原虫(77.5%,231/298),三日疟原虫(75.6%,34/45)。确诊平均时间间隔分别为间日疟(3.15 ± 9.80)d,三日疟(1.73 ± 4.45)d,卵形疟(1.16 ± 3.9)d,恶性疟(0.89 ± 4.81)d,间日疟、恶性疟、卵形疟三者间确诊平均时间间隔差异存在统计学意义(P < 0.01)。结论 广西2012年后无本地原发病例报告,输入性病例以恶性疟为主,主要来自于非洲,县级医疗卫生机构是疫情响应主体。

关键词: 疟疾, 疫情, 诊断, 机构, 广西

Abstract:

Objective To analyze the epidemiological characteristics of malaria and response capabilities of medical institutions in the malaria elimination phase in Guangxi Province, in order to provide scientific basis for consolidating the achievements of malaria elimination. Methods Malaria epidemic data during 2012-2019 in Guangxi were collected through the Information Management System for Parasitic Diseases and the data in 2010 and 2011 were obtained from the “individual questionnaire survey”. SPSS19.0 software was used to analyze the Plasmodium species, imported source country, case reporting situation, distribution of cases and the diagnosis. Results A total of 3 195 malaria cases were reported in Guangxi from 2010 to 2019, among them, one indigenous case was reported in 2012, and one case infected through blood-transfusion was reported in 2015, and the rest 3 193 were imported cases, including 7 cases of foreign nationalities, and 7 deaths. Of the imported cases, 72.3% were infected with Plasmodium falciparum (2 310/3 193), 9.8% with P. vivax (314/3 193), 13.9% with P. ovale (444/3 193), 1.4% with P. malariae (45/3 193), 2.1% with mixed infection (66/3 3 193) and 0.4% were clinically diagnosed cases (14/3 193), respectively. The malaria cases were distributed in 14 cities in Guangxi, with the top 5 being Nanning city (84.6%, 2 700/3 193), Guilin city (3.8%, 120/3 193), Hechi city (3.5%, 111/3 193), Liuzhou city (1.5%, 49/3 193) and Baise city (1.4%, 45/3 193). The cases were mainly at the age of 30-49 years (66.5%, 2 123/3 193), and the male-to-female ratio was 49.7 ∶ 1. The place of inporting source involves 33 African countries (93.8%, 2 994/3 193), 9 Southeast Asia countries (5.9%, 187/3 193), and Guyana of America (0.1%, 3/3 193). The cases at first visit in county-based centers for disease control (CDC) and medical institutions accounted for 80.4% (2 539/3 159) of all visited cases. The rate of confirmed diagnosis of malaria at first visit was 90.6% (2 862/3 159), which was significantly different among the medical institutions at different levels and between CDCs and medical institutions. The correctness rate of identification for parasite species was highest for P. falciparum (92.2%, 2 114/2 292), followed by P. oval (90.5%, 402/444), P. vivax (77.5%, 231/298), and P. malariae (75.6%, 34/45). The average time lag from primary to confirmed diagnosis was (3.15 ± 9.80) d for P. vivax, (1.73 ± 4.45) d for P. malariae, (1.16 ± 3.9) d for P. oval and (0.89 ± 4.81) d for P. falciparum. There was a statistically significant difference in the average time lag for confirmed diagnosis for P. vivax, P. falciparum, and P. oval (P < 0.01). Conclusion There has been no indigenous case of malaria reported in Guangxi Province since 2012. The imported cases were largely falciparum malaria cases, and mainly came from Africa. The county-level medical institutions and CDCs are the main body to respond to the epidemic.

Key words: Malaria, Epidemic status, Diagnosis, Institutions, Guangxi

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