当前位置: X-MOL 学术Lancet Diabetes Endocrinol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Using big data for non-communicable disease surveillance
The Lancet Diabetes & Endocrinology ( IF 44.5 ) Pub Date : 2017-11-13 , DOI: 10.1016/s2213-8587(17)30372-8
Ran D Balicer , Miguel Luengo-Oroz , Chandra Cohen-Stavi , Enrique Loyola , Frederiek Mantingh , Liudmyla Romanoff , Gauden Galea

First page of articleNon-communicable diseases (NCDs) are an increasing cause of morbidity and premature mortality worldwide, requiring countries to adapt health systems and policies towards population health strategies.1 NCDs at the population level can have acute alterations in prevalence and outcomes over time. Abrupt changes in social and economic conditions can bring on rapid shifts in risky behaviours, such as alcohol misuse or tobacco use, that are precursors to many NCDs. Current periodic survey-based methods to monitor NCDs and risk factors might not be adequate to identify these acute changes.

中文翻译:

利用大数据进行非传染性疾病监测

文章首页非传染性疾病(NCDs)是世界范围内发病率和过早死亡的日益增加的原因,要求各国使卫生系统和政策适应人口卫生战略。1人群中的非传染性疾病随着时间的流逝,患病率和结局可能会发生急性变化。社会和经济状况的突然变化会导致危险行为的迅速变化,例如滥用酒精或吸烟,这是许多非传染性疾病的先兆。当前基于定期调查的监测非传染性疾病和危险因素的方法可能不足以识别这些急性变化。
更新日期:2018-07-25
down
wechat
bug