Steven Bellan of the University of Texas at Austin has changed this, with a paper in theLancet.
德州大学奥斯丁分校的史蒂夫贝兰博士发表在《柳叶刀》上一篇论文,研究成果代替了猜测。
Using data likely to be more reliable than answers to the question:
数据示人可能会比结论对问题的方式更容易取信于人:
have you been cheating on your wife/husband?
你对自己的妻子或丈夫撒过谎吗?
he and his colleagues have worked out how much HIV infection is caused by adultery.
他与同事的研究成果显示了究竟多少例艾滋感染是由婚外偷腥造成的。
The answer, as might be expected, is a lot.
答案猜也能猜得到:非常多。
Dr Bellan and his colleagues reached this conclusion from a survey of 27,000 married orcohabiting couples in 18 African countries.
面对来自非洲18个国家2.7万接受调查的配偶,
The survey looked at who in these couples was infected, how long the couple had livedtogether, and the age at which each member of each couple first became sexually active.
或者是同居男女,贝兰博士和同事们将调查范围缩小在三个问题上:两个人中谁是感染者、同居或者已婚多久以及每一对之中首先成为性欲亢进的一方的年龄。
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