流行病学研究中使用地理信息系统的经验(例如疟疾和双丝虫病)。

L F Morozova, V P Sergiev, A M Baranova, L A Ganushkina, A V Kondrashin, V G Supriaga, E V Stepanova, M S Maksimova, N A Turbabina, E D Timoshenko, E N Morozov
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引用次数: 0

摘要

要有效应用地理信息系统防治寄生虫病,就需要了解寄生虫病在存在流行病有效携带者的不同区域的某些自然、气候和社会经济条件下的传播模式。使用开发的HealthMapper控制模块和数据库计算间日疟输入俄罗斯后流行病学过程高风险的流行病学参数。对俄罗斯行政领土78年来的平均长期气温进行分析,即7月,这是一年中最温暖的月份,所有类型的蚊子媒介数量最多,感染狗(最终宿主)的外周血中微丝虫病含量最高,结果表明,俄罗斯最可能发生地的北部边界最充分地描述了+14℃的7月等温线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[(EXPERIENCE WITH GEOGRAPHIC INFORRMATION SYSTEMS USED IN EPIDEMIOLOGICAL STUDIES (AS AN EXAMPLE OF MALARIA AND DIROFILARIASIS)].

The effective application of GIS against parasitic diseases requires the patterns of spread of parasitic diseases in certain natural, climatic, and socioeconomic conditions of different regions where there are epidemically effective carriers. The epidemiological parameters defining a high risk of an epidemiological process after P.vivax importation into Russia were calculated using the developed HealthMapper controlled module with a database. Analysis of the average long-term air temperatures in the administrative territories of Russia over 78 years, namely July, the warmest month of the year when there are the largest numbers of all types of mosquito vectors and high levels of microfilaria in the peripheral blood of in- fected dogs (definitive hosts), has shown that the northern border of the maximum possible area of dirofilariasis in Russia is most fully described by the +14C July isotherm.

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