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埃塞俄比亚肝片吸虫病战略控制的地理信息系统预测模型

A geographic information system forecast model for strategic control of fasciolosis in Ethiopia.

作者信息

Yilma J M, Malone J B

机构信息

Department of Pathology and Parasitology, Faculty of Veterinary Medicine, Addis Ababa University, Debre Zeit, Ethiopia.

出版信息

Vet Parasitol. 1998 Jul 31;78(2):103-27. doi: 10.1016/s0304-4017(98)00136-8.

Abstract

A geographic information system (GIS) forecast model based on moisture and thermal regime was developed to assess the risk of Fasciola hepatica, a temperate species, and its tropical counterpart, Fasciola gigantica, in Ethiopia. Agroecological map zones and corresponding environmental features that control the distribution and abundance of the disease and its snail intermediate hosts were imported from the Food and Agriculture Organization (FAO) Crop Production System Zones (CPSZ) database on east Africa and used to construct a GIS using ATLAS GIS 3.0 software. Base temperatures of 10 degrees C and 16 degrees C were used for F. hepatica and F. gigantica, respectively, to calculate growing degree days in a previously developed climate forecast system that was modified to allow use of monthly climate data values. The model was validated by comparison of risk indices and environmental features to available survey data on fasciolosis. Monthly Fasciola risk indices of four climatic regions in Ethiopia were used to project infection transmission patterns under varying climatic conditions and strategic chemotherapeutic fasciolosis control schemes. Varying degrees of F. hepatica risk occurred in most parts of the country and distinct regional F. hepatica transmission patterns could be identified. In the humid west, cercariae-shedding was predicted to occur from May to October. In the south it occurred from April to May and September to October, depending on the annual abundance of rain. In the north-central and central regions, risk was highest during heavy summer rains and pasture contamination with metacercariae was predicted to occur during August-September, except in wet years, when it may start as early as July and extend up to October. At cooler sites above altitude of 2800 m, completion of an infection cycle may require more than a year. Fasciola gigantica risk was present in the western, southern and north-central regions of the country at altitudes of 1440-2560 m. However, a transmission cycle could be completed in a single year only at elevations below 1700 m. The greatest risk of F. gigantica infection was in the humid western region. Regional strategic chemotherapy schemes of two or three treatments per year were developed. Results suggest that the model can be extrapolated to all CPSZ in the country and adapted for use in control of other vector-borne diseases of economic and public health importance.

摘要

开发了一种基于水分和热状况的地理信息系统(GIS)预测模型,以评估埃塞俄比亚肝片吸虫(一种温带物种)及其热带对应物巨片吸虫的风险。控制疾病及其蜗牛中间宿主分布和丰度的农业生态地图区域及相应环境特征,是从粮农组织关于东非的作物生产系统区域(CPSZ)数据库中导入的,并用于使用ATLAS GIS 3.0软件构建GIS。分别使用10摄氏度和16摄氏度的基础温度来计算肝片吸虫和巨片吸虫的生长度日,这是在先前开发的气候预测系统中进行的,该系统经过修改以允许使用月度气候数据值。通过将风险指数和环境特征与现有的肝片吸虫病调查数据进行比较,对该模型进行了验证。利用埃塞俄比亚四个气候区域的月度片吸虫风险指数,预测了不同气候条件下的感染传播模式以及战略性化疗控制肝片吸虫病的方案。该国大部分地区存在不同程度的肝片吸虫风险,并且可以识别出明显的区域肝片吸虫传播模式。在湿润的西部地区,预计5月至10月会出现尾蚴逸出。在南部地区,根据年降雨量,4月至5月以及9月至10月会出现尾蚴逸出。在中北部和中部地区,夏季暴雨期间风险最高,预计8月至9月会出现牧场被囊蚴污染,除非在多雨年份,此时可能早在7月开始并持续到10月。在海拔2800米以上较凉爽的地区,完成一个感染周期可能需要一年以上时间。巨片吸虫风险存在于该国西部、南部和中北部海拔1440 - 2560米的地区。然而,只有在海拔低于1700米的地方,才能在一年内完成一个传播周期。巨片吸虫感染的最大风险在湿润的西部地区。制定了每年进行两到三次治疗的区域战略化疗方案。结果表明,该模型可以推广到该国所有的作物生产系统区域,并适用于控制其他具有经济和公共卫生重要性的媒介传播疾病。

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