一开始的想法是整理关于寄生虫和微生物的数据库，然后导入数据库的数据，然后做一定的搜索显示表的项；甚至能够对数据库内部的数据加以一定的处理，如同一种知识生成。比如说输入动物，然后有传播的主要疾病显示；期望是可以通过一定的信息组合匹配到高维的经验，如一定的规则，有某些症状的集合可以有比较高的概率与特定的疾病匹配起来；甚至是能够如同基因芯片对大规模的数据处理并整理出一定的模式。本质上就是数据的匹配和运算和搜索和显示。
初始的定义：
各种寄生虫的table的类别：形态VARCHAR(50)，生殖方式VARCHAR(50)，感染阶段VARCHAR(50)，感染方式VARCHAR(50)，移行VARCHAR(50)，寄生部位BLOB，中间宿主VARCHAR(50)，终宿主VARCHAR(50)，流行情况VARCHAR(50)，传染源VARCHAR(50)，传染途径VARCHAR(50)，易感人群VARCHAR(50)，流行特点VARCHAR(50)，控制传染源VARCHAR(50)，切断传播途径VARCHAR(50)，保护易感人群VARCHAR(50)，致病作用BLOB，实验诊断VARCHAR(50)
VARCHAR(50),BLOB
Enterpassword:*******
Wel ①灭螺是预防本
病的关键。应摸清螺情，因地制宜，采用物理灭螺或药物灭螺法，坚持反复进行。可结合兴
修水利和改造钉螺孳生环境，因地制宜，选择垦种、养殖、水淹、土埋及火烧等办法。常用
的灭螺药物有五氯酚钠和氯硝柳胺。②加强粪便管理与水源管理(3)保护易感人群如用1%氯
硝柳胺碱性溶液浸渍衣裤，对尾蚴的侵入有预防作用，也可以皮肤涂擦邻苯二甲酸二丁酯软
膏（灭蚴灵）。
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