Methodological challenges in studying disease processes using observational cohort data [0.03%]
利用观察性队列数据研究疾病过程中的方法挑战
Richard J Cook,Jerald F Lawless
Richard J Cook
Cohort studies of disease processes deal with events and other outcomes that may occur in individuals following disease onset. The particular goals are often the evaluation of interventions and estimation of the effects of risk factors that...
Manabu Iwasaki
Manabu Iwasaki
Correction to: Exploring the impact of air pollution on COVID-19 admitted cases: Evidence from vector error correction model (VECM) approach in explaining the relationship between air pollutants towards COVID-19 cases in Kuwait [0.03%]
Correction to：“探索空气污染对新冠肺炎确诊病例的影响：通过向量误差修正模型（VECM）方法解释科威特污染物与新冠肺炎病例之间的关系”的证据
Ahmad R Alsaber,Parul Setiya,Ahmad T Al-Sultan et al.
Ahmad R Alsaber et al.
[This corrects the article DOI: 10.1007/s42081-022-00165-z.]. © The Author(s) under exclusive licence to Japanese Federation of Statistical Science Asso...
Exploring the impact of air pollution on COVID-19 admitted cases: Evidence from vector error correction model (VECM) approach in explaining the relationship between air pollutants towards COVID-19 cases in Kuwait [0.03%]
基于向量误差修正模型的空气污染对新冠肺炎病例影响研究：以科威特为例分析六种主要空气污染物与新冠肺炎病例的关系
Ahmad R Alsaber,Parul Setiya,Ahmad T Al-Sultan et al.
Ahmad R Alsaber et al.
In urban areas, air pollution is one of the most serious global environmental issues. Using time-series approaches, this study looked into the validity of the relationship between air pollution and COVID-19 hospitalization. This time series...
Determination of optimal prevention strategy for COVID-19 based on multi-agent simulation [0.03%]
基于多智能体仿真的新冠肺炎最优预防策略分析
Satoki Fujita,Ryo Kiguchi,Yuki Yoshida et al.
Satoki Fujita et al.
This study proposes a direction for the utilization of multi-agent simulation (MAS) to consider an optimal prevention strategy for the spread of the coronavirus disease of 2019 (COVID-19) through a pandemic modeling example in Japan. MAS ca...
Chien-Lin Su,Feng-Chang Lin
Chien-Lin Su
Recurrent event data frequently arise in practice, and in some cases, the event process has cyclic or periodic components. We propose a semiparametric rate model with multiple event types that have such features. Generalized estimating equa...
Koji Kurihara
Koji Kurihara
Detection of space-time clusters using a topological hierarchy for geospatial data on COVID-19 in Japan [0.03%]
基于日本COVID-19地理空间数据的空间时间聚类拓扑层次检测方法
Yusuke Takemura,Fumio Ishioka,Koji Kurihara
Yusuke Takemura
In this paper, we detected space-time clusters using data on coronavirus disease 2019 (COVID-19) collected daily by each prefecture in Japan. COVID-19 has spread globally since the first confirmed case in China, in December 2019. Several pe...
Spatial analysis and visualization of global data on multi-resolution hexagonal grids [0.03%]
基于多分辨率六边形网格的全球数据空间分析与可视化研究
T Stough,N Cressie,E L Kang et al.
T Stough et al.
In this article, computation for the purpose of spatial visualization is presented in the context of understanding the variability in global environmental processes. Here, we generate synthetic but realistic global data sets and input them ...
Real world data and data science in medical research: present and future [0.03%]
真实世界数据和数据科学在医学研究中的现状与未来展望
Kanae Togo,Naohiro Yonemoto
Kanae Togo
Real world data (RWD) are generating greater interest in recent times despite being not new. There are various purposes of the RWD analytics in medical research as follows: effectiveness and safety of medical treatment, epidemiology such as...