According to the data gathered over a 10-week period,students with a fever or flu tended to move around less and make fewer calls late at night or early in the morning.When Madan trained the software to hunt for this signature in the cellphone data,a daily check correctly identified 90% of the flu victims.

　　The technique could be used to monitor the health of those who live alone.Madan is developing a smartphone software that will make a named contact (perhaps a relative or a doctor),when the data suggest that they are ill.

　　Public health officials could also use the technique to spot some newly emerging outbreaks of illness ahead of traditional detection systems,which today rely on reports from doctors and virus-testing labs.

　　However,researchers will need to think hard about the causes of the changes they see in the cellphone data,according to Nathan at the University of Warwick,UK.He studied the data from a series of cholera(霍乱)outbreaks in Rwanda between 2006 and 2009 and found a clear drop in people’s movement,which may have been due to the disease.But actually the outbreak was caused by floods,which also limited mobility.“Telling apart the two possible causes on the basis of phone data alone is impossible,”he says.

　　【语篇导读】一项研究表明,分析手机的使用数据可以监测手机用户的疾病发生情况,这对于独居者很有帮助。

　　Madangavecellphonestomanystudentsinorderto　. 

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