School of Computer Science, University of Manchester, Manchester, UK.
Health eResearch Centre, Farr Institute for Health Informatics Research, Manchester, UK.
J Am Med Inform Assoc. 2018 Jan 1;25(1):88-92. doi: 10.1093/jamia/ocx148.
Allergies are increasing, but the reasons for this are unclear. Although environmental factors are thought to be important, there is a lack of data on how they contribute to symptom development. To understand this relationship better, we need accurate data about both symptoms and environmental factors. Our objective here is to ascertain whether experience sampling is a reliable approach for collecting allergy symptom data in the general population, allowing us to map symptoms and understand etiology.
We conducted a 32-week cross-sectional study where individuals reported their seasonal allergy symptoms and severity via a mobile application. Symptom geographical location and timestamp were also collected automatically.
The experience sampling method reliably infers the incidence of seasonal allergies as indicated by the strong correlation (r = 0.93, P < .003) between the reported lack of wellness and the number of antihistamines prescribed by General Practitioners.
The project has resulted in the first dataset to map allergy symptoms over time and place and reveals periods of peak hay fever symptoms in the UK.
过敏症正在增多,但原因尚不清楚。尽管环境因素被认为很重要,但关于它们如何导致症状发展的数据却很缺乏。为了更好地理解这种关系,我们需要关于症状和环境因素的准确数据。我们的目标是确定经验抽样法是否可以可靠地用于收集普通人群中的过敏症状数据,从而绘制症状图并了解病因。
我们进行了一项 32 周的横断面研究,参与者通过移动应用程序报告他们的季节性过敏症状和严重程度。症状的地理位置和时间戳也自动收集。
经验抽样法可靠地推断出季节性过敏的发生率,这表明报告的不适程度与全科医生开出的抗组胺药数量之间存在很强的相关性(r=0.93,P<.003)。
该项目产生了首个随时间和地点绘制过敏症状图的数据集,并揭示了英国花粉热症状的高峰期。