Jekyll2023-10-17T13:51:18-07:00https://mdz01.github.io/feed.xmlMengdie ZhuangLecturer (Assistant Prof.) in Data Science at University of SheffieldMengdie Zhuangm.zhuang@sheffield.ac.ukHousehold mixing during COVID-19: our research suggests adherence to lockdowns in England declined over time2021-11-25T00:00:00-08:002021-11-25T00:00:00-08:00https://mdz01.github.io/posts/2021/11/householdvisitationMengdie Zhuangm.zhuang@sheffield.ac.ukin our latest research, we analysed mobility data collected from almost one million people in England between January 2020 and May 2021, seeking to understand trends in home visits during the pandemic.England’s contact-tracing system needs better data handling to beat COVID-192020-10-29T00:00:00-07:002020-10-29T00:00:00-07:00https://mdz01.github.io/posts/2020/10/contacttracingMengdie Zhuangm.zhuang@sheffield.ac.uk“Contact-tracing systems represent a critical pillar of any coronavirus response… It is therefore paramount that the little information we have is used optimally “COVID Response Dashboard (COVIDRED)2020-10-28T00:00:00-07:002020-10-28T00:00:00-07:00https://mdz01.github.io/posts/2020/10/covidredMengdie Zhuangm.zhuang@sheffield.ac.ukIs the health system capturing everyone that needs to be? Is our response to COVID-19 in England improving? - The UCL i-sense COVID RED dashboard is developed to explore public available data under five key stages to suppressing the virus: Find, Test, Trace, Isolate, and Support, and illustrate its performance. This work has been featured in the Guardian, Telegraph, Sky news etc.