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bet9APP安装下载:手机能监控疾病了
2021-09-08 [84007]
本文摘要:In a new study out of the Massachusetts Institute of Technology, health researchers make the case for using real-time cell-phone data to track and mitigate major disease outbreaks.在麻省理工学院进行的一项新的研究中,身心健康研究员明确指出用以动态性手机上数据跟踪和遏制全局性疾病脑血栓。

In a new study out of the Massachusetts Institute of Technology, health researchers make the case for using real-time cell-phone data to track and mitigate major disease outbreaks.在麻省理工学院进行的一项新的研究中,身心健康研究员明确指出用以动态性手机上数据跟踪和遏制全局性疾病脑血栓。Unfortunately, several barriers—including privacy concerns and a lack of data legislation—are likely to stop this kind of information from ever getting to researchers.出现意外的是,研究人员在出示这种数据时遇到了一些阻碍,如对隐私保护的焦虑、缺乏与数据涉及到的法律法规。Earlier this year, researchers at MIT set out to see if they could reasonably predict how a disease might move through a city by looking at commute routes.2020年稍早,麻省理工学院的研究人员准备要想起她们否能仔细观察出行线路来对疾病在城市中的传播效果做出有效预测分析。

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Through a deal with Singapore telecom Singtel, MIT researchers were able to get access to four months worth of anonymized cell-phone location data from 2011.根据与马来西亚电力公司协作,麻省理工学院的研究人员成功出示了二零一一年起 4个月的电子邮箱手机位置数据。The disease they were tracking was a 2013 outbreak of dengue fever, a virus transmitted via mosquito that manifests in headaches, muscle pain, and vomiting.她们要追踪的是二零一三年越来越激烈的疟疾,它是一种根据蚊虫散播的病原体,病症展示出为头疼、肌肉疼痛和拉肚子。

九州体育改为bet9

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The researchers hypothesized that the disease traveled around the city along the same routes as peoples phones did.研究人员猜想这类疾病在城市的散播途径和大家手机上的挪动途径是完全一致的。When they tested their predictions against census data for 2013 and 2014, which recorded the number of cases over the course of two years, they found the models were accurately estimating the growth trajectory the disease.她们将自身的预测分析与二零一三年和二零一四年的全国人口普查数据进行了比照,该数据纪录了两年里的病案总数,她们寻找实体模型精准估计了疾病的发展趋势运动轨迹。The study is remarkable for its ability to examine the pattern of dengues spread as it moves inside smaller regions like cities and towns. Typically, researchers study disease at a much broader level—think states and countries. But smartphone data allows researchers and scientists to see more detailed information about the way people interact with their environment and each other.该研究特别注意的一点是能研究疟疾在城市和城区等小范畴内的散播方式。

一般来说,研究人员会在更为广泛的方面上研究疾病——如州和我国的范畴。但智能机数据使研究人员和生物学家能看到大家怎样了解自然环境及其别人的更为详细资料。

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This data can be really useful in an emerging situation, says Emanuele Massaro, a scientist at cole polytechnique fédérale de Lausanne in Switzerland and the lead author on the paper. He argues that scientists, NGOs, and political decision makers should have access to cell-phone data more broadly, so they can more easily contain disease outbreaks.意大利都灵联邦政府理工学院的研究员Emanuele Massaro是这篇毕业论文的第一作者,他讲到:“这一数据在紧急状况下了解非常简单。”他强调“生物学家、非政府的机构和政冶领导者们”理应更为广泛地出示手机上数据,便于她们能更非常容易地遏制疾病越来越激烈。


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