Application of Bayesian spatial-temporal models for estimating unrecognized COVID-19 deaths in the United States [0.03%]
贝叶斯时空模型在美国估算未被发现的新冠肺炎死亡人数中的应用
Yuzi Zhang,Howard H Chang,A Danielle Iuliano et al.
Yuzi Zhang et al.
In the United States, COVID-19 has become a leading cause of death since 2020. However, the number of COVID-19 deaths reported from death certificates is likely to represent an underestimate of the total deaths related to SARS-CoV-2 infecti...
Spatial clustering behaviour of Covid-19 conditioned by the development level: Case study for the administrative units in Romania [0.03%]
新冠疫情下的空间集聚行为：以罗马尼亚管理单位为例的研究
Stefana Cioban,Codruta Mare
Stefana Cioban
Spatial analyses related to Covid-19 have been so far conducted at county, regional or national level, without a thorough assessment at the continuous local level of administrative-territorial units like cities, towns, or communes. To addre...
José Ulises Márquez-Urbina,Graciela González-Farías
José Ulises Márquez-Urbina
We introduce a parsimonious, flexible subclass of the closed-skew normal (CSN) distribution that produces valid stationary spatial models. We derive and prove some relevant properties for this subfamily; in particular, we show that it is id...
An interaction Neyman-Scott point process model for coronavirus disease-19 [0.03%]
一种冠状病毒疾病-19的交互作用Neyman-Scott点过程模型
Jaewoo Park,Won Chang,Boseung Choi
Jaewoo Park
With rapid transmission, the coronavirus disease 2019 (COVID-19) has led to over three million deaths worldwide, posing significant societal challenges. Understanding the spatial patterns of patient visits and detecting local cluster center...
A Spatio-temporal Model for Detecting the Effect of Cocaine Use Disorder on Functional Connectivity [0.03%]
可卡因使用障碍对功能连接影响的时空模型检测
Jifang Zhao,Qiong Zhang,Montserrat Fuentes et al.
Jifang Zhao et al.
Drug addiction can lead to many health-related problems and social concerns. Researchers are interested in the association between long-term drug usage and abnormal functional connectivity. Functional connectivity obtained from functional m...
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland [0.03%]
模拟瑞士和意大利边境关闭对瑞士COVID-19时空传播的影响
Mathilde Grimée,Maria Bekker-Nielsen Dunbar,Felix Hofmann et al.
Mathilde Grimée et al.
We present an approach to extend the endemic-epidemic (EE) modelling framework for the analysis of infectious disease data. In its spatiotemporal formulation, spatial dependencies have originally been captured by static neighbourhood matric...
Miguel A Martinez-Beneito,Jorge Mateu,Paloma Botella-Rocamora
Miguel A Martinez-Beneito
The emergence of COVID-19 requires new effective tools for epidemiological surveillance. Spatio-temporal disease mapping models, which allow dealing with small units of analysis, are a priority in this context. These models provide geograph...
Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown [0.03%]
时空变量选择及COVID-19封锁对空气质量的影响评估
Alessandro Fassò,Paolo Maranzano,Philipp Otto
Alessandro Fassò
During the first wave of the COVID-19 pandemics in 2020, lockdown policies reduced human mobility in many countries globally. This significantly reduces car traffic-related emissions. In this paper, we consider the impact of the Italian res...
Shape-restricted estimation and spatial clustering of COVID-19 infection rate curves [0.03%]
COVID-19感染率曲线的形状约束估计和空间聚类分析
James Matuk,Xiaohan Guo
James Matuk
The study of regional COVID-19 daily reported cases is used to understand pattern of spread and disease progression over time. These data are challenging to model due to noise that is present, which arises from failures in reporting, false ...
Estimation of COVID-19 mortality in the United States using Spatio-temporal Conway Maxwell Poisson model [0.03%]
使用时空康韦麦克斯韦泊松模型估计美国的COVID-19死亡率
Xiaomeng Li,Dipak K Dey
Xiaomeng Li
Spatio-temporal Poisson models are commonly used for disease mapping. However, after incorporating the spatial and temporal variation, the data do not necessarily have equal mean and variance, suggesting either over- or under-dispersion. In...