分析2014-2018年山东省淄博市疟疾流行病学特征,为巩固消除疟疾成果提供科学依据。收集2014-2018年山东省淄博市疟疾病例有关资料,运用Microsoft Excel 2007对疫情概况、感染来源、虫种、三间分布及诊治情况进行分析。结果显示,2014-2018年,淄博市共报告疟疾病例30例,平均年发病率为0.6/10万,疫情较为平稳。所有病例均自非洲输入,以恶性疟为主（26例,86.7%）,主要来自尼日利亚（12例,40.0%）和莫桑比克（6例,20.0%）等11个非洲国家。所有病例均为成年男性;年龄集中在20~50岁（27例,90.0%）,最小年龄为23岁,最大年龄为60岁,平均年龄为38岁;职业分布中以劳务输出人员（包括工人和农民工）为主（28例,93.3%）。地区分布中,8个县（区）均有疟疾病例报告,张店区病例数最多（12例,40.0%）,高青县和沂源县病例数最少（1例,3.3%）。月份分布中,病例数较多的月份依次为10月（7例）、1月（5例）、9月（5例）和11月（3例）,5月无病例报告,分布具有一定的季节性。病例发病-就诊的最短时间是0 d,最长时间是16 d,平均时间是3.1 d。29例患者（96.7%）就诊24 h内即被确诊为疟疾,1例患者（3.3%）就诊7 d后最终被确诊为疟疾。患者发病后首选的就诊单位以医疗机构为主（22例,73.3%）,仅8例患者（26.7%）首选疾控机构作为就诊单位。各首诊单位对疟疾病例的诊断能力较强,25例患者被确诊为疟疾病例,准确率为83.3%。

To analyze the epidemiological characteristics of malaria in Zibo City, Shandong Province, as a scientific basis for consolidating the elimination of malaria, the epidemiological data on malaria cases identified in this region from 2014 to 2018 were collected. The epidemic situation, infection source and species, the distribution of cases in different regions, gender, age, occupations and season, malaria diagnosis and treatment were analyzed using Microsoft Excel 2007 software. The results showed that total 30 cases of malaria were reported in Zibo, Shandong Province from 2014-2018, and the average annual incidence rate was 0.6/10 million. All cases were imported from Africa, mainly from 11 African countries including Nigeria(12 cases, 40.0%) and Mozambique (6, 20.0%). Most of the cases were falciparum malaria(26 cases, 86.7%). All cases were adult males, aged 23-60 years with the average age of 38 years old. Most of the cases were labor exporters to Africa including project workers and farmers(28 cases, 93.3%). Regarding the regional distribution of the cases, 8 counties(districts)in Zibo administrative region had reported malaria cases with highest case number in Zhangdian District(12 cases, 40.0%). Only one case was reported in each Gaoqing County and Wuyuan County(1 case, 3.3%). Regarding the case monthly distribution, the most cases were reported in October(7 cases)followed by January(5 cases), September(5 cases) and November(3 cases). There were no case reported in May. The time from disease onset to visiting doctor varied from 0 day to 16 days with average time of 3.1 days. All cases were diagnosed as malaria within 24 hours of doctor visit except for one case that was diagnosed as malaria 7 days after the first doctor visit (3.3%). The local hospital was the preferred selection for patients to visit after onset of the disease(22 cases, 73.3%), followed by the local Chinese Center for Disease Control and Prevention (8 cases, 26.7%). Total 25 out of 30 cases received confirmed diagnosis of malaria during the first visit and these medication facilities owned good experience and capacity to diagnose malaria with 83.3% accuracy of diagnosing malaria.