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您的检索式：作者名="Alex R.Cook"
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| 1 | Stratification of Patients with Diabetes Using Continuous Glucose Monitoring Profiles and Machine Learning显示文摘Background.Continuous glucose monitoring(CGM)offers an opportunity for patients with diabetes to modify their lifestyle tobetter manage their condition and for clinicians to provide personalized healthcare and lifestyle advice.However,analytic toolsare needed to standardize and analyze the rich data that emerge from CGM devices.This would allow glucotypes of patients tobe identified to aid clinical decision-making.Methods.In this paper,we develop an analysis pipeline for CGM data and applyit to 148 diabetic patients with a total of 8632 days of follow up.The pipeline projects CGM data to a lower-dimensional spaceof features representing centrality,spread,size,and duration of glycemic excursions and the circadian cycle.We then useprincipal components analysis and k-means to cluster patients’records into one of four glucotypes and analyze clustermembership using multinomial logistic regression.Results.Glucotypes differ in the degree of control,amount of time spent inrange,and on the presence and timing of hyper-and hypoglycemia.Patients on the program had statistically significantimprovements in their glucose levels.Conclusions.This pipeline provides a fast automatic function to label raw CGM datawithout manual input. | Yinan Mao Kyle Xin Quan Tan Augustin Seng Peter Wong Sue-Anne Toh Alex R.Cook | 2022 | Health Data Science2022，，1： | 0 |
| 2 | EpiMix:A novel method to estimate effective reproduction number显示文摘Transmission potential of a pathogen,often quantified by the time-varying reproduction number R t,provides the current pace of infection for a disease and indicates whether an emerging epidemic is under control.In this study,we proposed a novel method,EpiMix,for R t estimation,wherein we incorporated the impacts of exogenous factors and random effects under a Bayesian regression framework.Using Integrated Nested Laplace Approx-imation,EpiMix is able to efficiently generate reliable,deterministic R t estimates.In the simulations and case studies performed,we further demonstrated the method's robust-ness in low-incidence scenarios,together with other merits,including its flexibility in selecting variables and tolerance of varying reporting rates.All these make EpiMix a potentially useful tool for real-time R t estimation provided that the serial interval distri-bution,time series of case counts and external influencing factors are available. | Shihui Jin Borame Lee Dickens Jue Tao Lim Alex R.Cook | 2023 | Infectious Disease Modelling2023，8，3： | 0 |
| 3 | Urban-Rural Disparities for COVID-19:Evidence from 10 Countries and Areas in the Western Pacific显示文摘Background.Limited evidence on the effectiveness of various types of social distancing measures,from voluntary physical distancing to a community-wide quarantine,exists for the Western Pacific Region(WPR)which has large urban and rural populations.Methods.We estimated the time-varying reproduction number(Rt)in a Bayesian framework using district-level mobility data provided by Facebook(i)to assess how various social distancing policies have contributed to the reduction in transmissibility of SARS-COV-2 and(ii)to examine within-country variations in behavioural responses,quantified by reductions in mobility,for urban and rural areas.Results.Social distancing measures were largely effective in reducing transmissibility,with Rt estimates decreased to around the threshold of 1.Within-country analysis showed substantial variation in public compliance across regions.Reductions in mobility were significantly lower in rural and remote areas than in urban areas and metropolitan cities(p<0:001)which had the same scale of social distancing orders in place.Conclusions.Our findings provide empirical evidence that public compliance and consequent intervention effectiveness differ between urban and rural areas in the WPR.Further work is required to ascertain the factors affecting these differing behavioural responses,which can assist in policy-making efforts and increase public compliance in rural areas where populations are older and have poorer access to healthcare. | Minah Park Jue Tao Lim Lin Wang Alex R.Cook Borame L.Dickens | 2021 | Health Data Science2021，，1： | 0 |
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