Department of Medical Parasitology and Mycology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
Cellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
J Helminthol. 2020 Jul 24;94:e175. doi: 10.1017/S0022149X20000553.
Cystic echinococcosis (CE) is caused by the larval form of Echinococcus granulosus that can cause serious health and economic problems in the endemic foci. CE is globally distributed in various climatic conditions from circumpolar to tropical latitudes. Iran is an important endemic area with a spectrum of weather conditions. The aim of this study was to determine the effects of geo-climatic factors on the distribution of livestock CE in south-western Iran (SWI) in 2016 to 2018. Data of livestock CE were retrieved from veterinary organizations of four provinces of SWI. The geo-climatic factors, including mean annual temperature (MAT), minimum MAT (MinMAT), maximum MAT (MaxMAT), mean annual rainfall (MAR), elevation, mean annual evaporation (MAE), sunny hours, wind speed, mean annual humidity (MAH), slope, frost days and land cover, were analysed using geographical information systems (GIS) approaches. The statistical analysis showed that MAR, frost days, elevation, slope and semi-condensed forest land cover were positively and MAE, MAT, MaxMAT, MinMAT and salt and salinity land cover were negatively correlated with CE occurrence. MAE was shown to be a predictive factor in the stepwise linear logistic regression model. In short, the current GIS-based study found that areas with lower evaporation were the main CE risk zones, though those with lower temperature and higher rainfall, altitude and slope, especially where covered with or in close proximity of semi-condensed forest, should be prioritized for consideration by health professionals and veterinarians for conducting control programmes in SWI.
包虫病（CE）是由细粒棘球绦虫的幼虫引起的，在流行地区会导致严重的健康和经济问题。CE 在从环极到热带纬度的各种气候条件下全球分布。伊朗是一个重要的流行地区，具有各种天气条件。本研究的目的是确定地理气候因素对 2016 年至 2018 年伊朗西南部（SWI）家畜包虫病分布的影响。家畜包虫病的数据是从 SWI 四个省的兽医组织中检索到的。地理气候因素包括年平均气温（MAT）、最低年平均气温（MinMAT）、最高年平均气温（MaxMAT）、年平均降雨量（MAR）、海拔、年平均蒸发量（MAE）、日照时数、风速、年平均湿度（MAH）、坡度、霜日数和土地覆盖，使用地理信息系统（GIS）方法进行分析。统计分析表明，MAR、霜日数、海拔、坡度和半湿润森林土地覆盖与 CE 发生呈正相关，而 MAE、MAT、MaxMAT、MinMAT 和盐和盐度土地覆盖与 CE 发生呈负相关。MAE 在逐步线性逻辑回归模型中被证明是一个预测因素。简而言之，目前基于 GIS 的研究发现，蒸发量较低的地区是主要的 CE 风险区，尽管那些温度较低、降雨量较高、海拔和坡度较高的地区，特别是那些覆盖半湿润森林或靠近半湿润森林的地区，应优先考虑由卫生专业人员和兽医进行控制计划。
