中国寄生虫学与寄生虫病杂志 ›› 1989, Vol. 7 ›› Issue (1): 22-27.

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影响黄淮平原间日疟残存病例分布的因素

张晓波,邓达   

  1. 中国预防医学科学院寄生虫病研究所
  • 收稿日期:2017-01-09 修回日期:2017-01-09 出版日期:1989-02-28 发布日期:2017-01-09

AN EPIDEMIOLOGICAL STUDY OF THE RESIDUAL VIVAX MALARIA CASES IN HUANGHUAI PLAIN

  • Received:2017-01-09 Revised:2017-01-09 Online:1989-02-28 Published:2017-01-09

摘要: 黄淮平原疟疾发病率均已降至0.1%以下。为了探讨影响残存病例的分布规律,乃在种植旱作物的周口地区和水旱间作的徐州市选点进行病例-对照调查,用logistic多元回归模型,在Apple II微机上进行分析。为适应条件logistic多元回归的要求,仅选取流行高峰季节20d(等于间日疟一个传播周期)内经血检阳性者为病例对象,另随机选取邻居、村内和村外三个健康对照进行配对。结果在31个因素中得出个人疟史、家庭(成员)疟史、1984年自然村病例数、按蚊孳生地方位、蚊帐使用及大牲畜等6个危险因素,符合当地现阶段流行病学特征。说明logistic多元回归模型在控制条件下可用于疟疾流行病学分析。

关键词: 间日疟, 黄淮平原, 危险因素, 病例分布, 多元回归模型, 条件logistic回归分析, 流行病学, 疟史, 单因素分析, 寄生虫病研究所

Abstract: In order to get more knowledge of the epidemiological characteristics of the residual cases of vivax malaria in Huanghuai Plain at the present time, a case-control study was carried out from March to May, 1986 in Zhoukou Prefecture, Henan Province and in Xuzhou City, Jiangsu Province. In both areas, the incidence of vivax malaria in 1985 was lower than 1‰, The data were analyzed with the conditional logistic multi-regression model and calculated by using Apple II microcomputer. All the malaria cases selected were within an interval less than 20 days(N.B. The incubation interval of vivax malaria is 20 days) during the transmission season because the cases should be independent of each other and fit with logistic multi-regression model. Three controls were matched for each case at random, including a neighbourer person in the same village and a person outside the village. The questionnaire contained a total of 31 relevant items of the subjects, families and villages. Six risk factors (personal history of malaria, family member's history of malaria, number of cases in the village in 1984, direction of breeding place, using mosquito-net and number of livestock) related to malaria transmission were obtained through the analysis of the model. The results were in accord with actual epidemiological characteristics in the region, indicating that the conditional logistic multi-regression model can be applied to epidemiological analysis (study) under controlled conditions and provided quantitative method for analysis of socio-economic eflects on malaria. The distribution of the cases and their affecting factors were discussed.