A Bayesian spatial measurement error approach to incorporate heterogeneous population-at-risk uncertainty in estimating small-area opioid mortality rates [0.03%]
一种贝叶斯空间测量误差方法，用于在估计小区域阿片类药物死亡率时融合异质性人口风险不确定性
Emily N Peterson,Rachel C Nethery,Jarvis T Chen et al.
Emily N Peterson et al.
Monitoring small-area geographical population trends in opioid mortality has significant implications for informing preventative resource allocation. A common approach to estimating small-area opioid mortality uses a standard disease mappin...
A multivariate generalized logistic approach with spatially varying nonlinear components for modeling epidemic data [0.03%]
具有空间异质非线性分量的多元广义逻辑回归在流行病数据建模中的应用研究
Marcos O Prates,Dani Gamerman,Samuel F Candido et al.
Marcos O Prates et al.
This work considers the joint analysis of time series for epidemiological count data of neighboring regions. The joint analysis involves parameter estimation and prediction of future outcomes. The literature concentrated on imposing similar...
Estimating subnational under-five mortality rates using a spatio-temporal Age-Period-Cohort model [0.03%]
利用时空世代模型估算小于五岁儿童死亡率
Connor Gascoigne,Theresa Smith,John Paige et al.
Connor Gascoigne et al.
Subnational estimates of under-five mortality rates (U5MRs) are a vital statistic for the United Nations to reduce mortality inequalities between high-income and Low-and-Middle Income Countries (LMICs). Current methods of modelling U5MR in ...
On the lagged non-linear association between air pollution and COVID-19 cases in Belgium [0.03%]
比利时空气污染与新冠肺炎病例之间非线性的滞后关系研究
Sara Rutten,Marina Espinasse,Elisa Duarte et al.
Sara Rutten et al.
Exposure to air pollution has been proposed as a determinant of COVID-19 dynamics. While the connection between air pollution and COVID-19 has been established for several countries worldwide, few such analyses exist in Belgium. Therefore, ...
Geospatial distribution of the adoption of dipeptidyl-peptidase-4 inhibitors for type 2 diabetes among Medicare beneficiaries [0.03%]
二肽基肽酶-4抑制剂在医疗保险受益人2型糖尿病患者中的地理空间分布研究
Jack Cordes,Robert J Glynn,Alexander M Walker et al.
Jack Cordes et al.
Objective: To characterize the geospatial distribution of the adoption of dipeptidyl-peptidase-4 inhibitor (DPP-4i) antidiabetics versus second generation sulfonylureas (SU). ...
A fast approach for analyzing spatio-temporal patterns in ischemic heart disease mortality across US counties (1999-2021) [0.03%]
快速分析1999-2021年美国各县缺血性心脏病死亡率的时空模式的方法
A Urdangarin,T Goicoa,P Congdon et al.
A Urdangarin et al.
Ischemic heart disease (IHD) remains the primary cause of mortality in the US. This study focuses on using spatio-temporal disease mapping models to explore the temporal trends of IHD at the county level from 1999 to 2021. To manage the com...
Employment industry and opioid overdose risk: A pre- and post-COVID-19 comparison in Kentucky and Massachusetts 2018-2021 [0.03%]
就业行业与阿片类过量使用风险：肯塔基州和马萨诸塞州2018-2021年COVID-19前后的比较
Sumeeta Srinivasan,Shikhar Shrestha,Daniel R Harris et al.
Sumeeta Srinivasan et al.
The COVID-19 pandemic has exacerbated the risk of opioid-related harm, and previous studies suggest a connection between opioid overdose risk and industry of employment. We used descriptive and spatial-statistical tests with opioid overdose...
Association between urban green space and transmission of COVID-19 in Oslo, Norway: A Bayesian SIR modeling approach [0.03%]
挪威奥斯陆城市绿地与COVID-19传播之间的关系：基于贝叶斯SIR模型的方法
Halvor Kjellesvig,Suleman Atique,Lars Böcker et al.
Halvor Kjellesvig et al.
Background: Access to green spaces can provide opportunities for physical activities and social interactions in urban areas during times with strict social distancing. In particular COVID-19 transmission is reduced in ven...
Multivariate skew-normal distribution for modelling skewed spatial data [0.03%]
多元skew正态分布用于建模偏斜空间数据
Kassahun Abere Ayalew,Samuel Manda,Bo Cai
Kassahun Abere Ayalew
Multivariate spatial data are commonly modelled using the shared spatial component and multivariate intrinsic conditional autoregressive (MICAR) models where the spatial random variables are assumed to be normally distributed. However, the ...
Spatial pattern of all cause excess mortality in Swiss districts during the pandemic years 1890, 1918 and 2020 [0.03%]
1890、1918和2020年瑞士各区大流行病的超额死亡空间分布模式
Katarina L Matthes,Joël Floris,Aziza Merzouki et al.
Katarina L Matthes et al.
Every pandemic is embedded in specific spatial and temporal context. However, spatial patterns have almost always only been considered in the context of one individual pandemic. Until now, there has been limited consideration of spatial sim...