Rongjie Huang,Alexander C McLain,Brian H Herrin et al.
Rongjie Huang et al.
Spatial patterns are common in infectious disease epidemiology. Disease mapping is essential to infectious disease surveillance. Under a group testing protocol, biomaterial from multiple individuals is physically combined into a pooled spec...
Spatial dynamics of COVID-19 in São Paulo: A cellular automata and GIS approach [0.03%]
基于元胞自动机和地理信息系统的圣保罗市COVID-19空间动力学研究
W L Barreto,F H Pereira,Y Perez et al.
W L Barreto et al.
This study examines the spread of COVID-19 in São Paulo, Brazil, using a combination of cellular automata and geographic information systems to model the epidemic's spatial dynamics. By integrating epidemiological models with georeferenced...
Emil Hodzic-Santor,Rob Deardon
Emil Hodzic-Santor
Epidemic models serve as a useful analytical tool to study how a disease behaves in a given population. Individual-level models (ILMs) can incorporate individual-level covariate information including spatial information, accounting for hete...
Impact of deforestation and climate on spatio-temporal spread of dengue fever in Mexico [0.03%]
气候变化和森林砍伐对墨西哥登革热时空传播的影响分析
José Mauricio Galeana-Pizaña,Gustavo Manuel Cruz-Bello,Camilo Alberto Caudillo-Cos et al.
José Mauricio Galeana-Pizaña et al.
Dengue prevalence results from the interaction of multiple socio-environmental variables which influence its spread. This study investigates the impact of forest loss, precipitation, and temperature on dengue incidence in Mexico from 2010 t...
Spatial and spatio-temporal statistical implications for measuring structural racism: A review of three widely used residential segregation measures [0.03%]
从空间和时空统计角度审视结构性种族主义测量方法：三种常用的居住隔离指标综述
Loni Philip Tabb,Ruby Bayliss,Yang Xu
Loni Philip Tabb
Social determinants of health are the conditions in the environments where people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning and quality of life outcomes and risks - these social dete...
Exploring the feasibility of linking historical air pollution data to the Christchurch Health and Development study: A birth cohort study in Aotearoa, New Zealand [0.03%]
探索将历史空气污染数据与新西兰奥特罗阿基督城健康和发展研究（出生队列研究）联系起来的可行性
M Hobbs,L Marek,G F H McLeod et al.
M Hobbs et al.
Spatial life course epidemiological approaches offer promise for prospectively examining the impacts of air pollution exposure on longer-term health outcomes, but existing research is limited. An essential aspect, often overlooked is the co...
The effect of spatio-temporal sample imbalance in epidemiologic surveillance using opportunistic samples: An ecological study using real and simulated self-reported COVID-19 symptom data [0.03%]
机会性样本在流行病学监测中时空样本不平衡的影响：一项使用真实和模拟的自我报告的新冠症状数据进行生态学研究
Alejandro Rozo Posada,Christel Faes,Philippe Beutels et al.
Alejandro Rozo Posada et al.
Open surveys complementing surveillance programs often yield opportunistically sampled data characterised by spatio-temporal imbalance. We set up our study to understand to what extent spatio-temporal statistical models using such data achi...
Individual-level models of disease transmission incorporating piecewise spatial risk functions [0.03%]
分段空间风险函数下的疾病感染的个体元模型研究
Chinmoy Roy Rahul,Rob Deardon
Chinmoy Roy Rahul
Modelling epidemics is crucial for understanding the emergence, transmission, impact and control of diseases. Spatial individual-level models (ILMs) that account for population heterogeneity are a useful tool, accounting for factors such as...
A Bayesian Interrupted Time Series framework for evaluating policy change on mental well-being: An application to England's welfare reform [0.03%]
一种评估政策变化对心理健康影响的贝叶斯中断时间序列框架：应用于英格兰福利改革的例子
Connor Gascoigne,Annie Jeffery,Zejing Shao et al.
Connor Gascoigne et al.
Factors contributing to social inequalities are associated with negative mental health outcomes and disparities in mental well-being. We propose a Bayesian hierarchical controlled interrupted time series to evaluate the impact of policies o...
Bayesian hierarchical modeling for bivariate multiscale spatial data with application to blood test monitoring [0.03%]
双尺度空间数据的贝叶斯层次模型及其在血液检测中的应用
Shijie Zhou,Jonathan R Bradley
Shijie Zhou
Public health spatial data are often recorded at different spatial scales (or geographic regions/divisions) and over different correlated variables. Motivated by data from the Dartmouth Atlas Project, we consider jointly analyzing average a...