Individual level modeling of infectious disease transmission with reinfection dynamics: Application to Tuberculosis in Manitoba, Canada [0.03%]
再感染动力学下的传染病传播的个体水平模型构建及在加拿大曼尼托巴省肺结核中的应用研究
Amin Abed,Mahmoud Torabi,Zeinab Mashreghi
Amin Abed
Recent advancements in stochastic modeling of infectious disease transmission have increasingly incorporated spatial factors, enhancing the accuracy of disease spread predictions and public health interventions. For many infectious diseases...
Identifying territorial inequalities in the population-level double burden of child malnutrition in Argentina: A joint spatial modeling approach [0.03%]
阿根廷人口层面儿童营养双重负担的地区不平等性识别：联合空间建模方法
Nicolás Flaibani,Adriana Pérez,Pablo Nuñez et al.
Nicolás Flaibani et al.
The double burden of malnutrition (DBM) at the population level, the coexistence of undernutrition and overnutrition within the same region, is a growing public health challenge in many low- and middle-income countries. Historically, its co...
Relationship between time spent in outdoor recreational areas and stress among parents during the COVID-19 lockdown - A spatial temporal analysis of GPS traces from geographical EMA [0.03%]
疫情期间父母在户外休闲区度过的时间与压力之间的关系——来自地理EMA的GPS痕迹的时空分析
Balaji Ramesh,Bridget Freisthler,Yun Ye et al.
Balaji Ramesh et al.
Background: The early COVID-19 period, with stay-at-home orders, was particularly stressful for parents. Outdoor recreation areas (ORAs), such as green spaces, may have helped alleviate stress. ...
Domestic violence, socio-spatial vulnerability and maxillofacial trauma: an ecological study to identify high-risk areas [0.03%]
关于家庭暴力、社会空间脆弱性以及口腔颌面部损伤的生态学研究——识别高风险地区
Ítalo de Macedo Bernardino,Lorena Marques da Nóbrega,Larissa Trajano de Souza et al.
Ítalo de Macedo Bernardino et al.
The aim of this study was to determine the incidence and spatial-temporal distribution of maxillofacial trauma caused by domestic violence using an innovative approach, through geostatistical techniques. For this purpose, an ecological stud...
Topological data analysis for cluster-based dengue forecasting in Mexico [0.03%]
基于聚类的墨西哥登革热预测的拓扑数据分析
J A Martínez-Cadena
J A Martínez-Cadena
Topological Data Analysis (TDA) offers shape-aware descriptions for complex epidemic patterns. We have created a clustered forecasting pipeline for weekly dengue incidence at the state level in Mexico. This pipeline integrates TDA, using pe...
Spatial and spatio-temporal county-level trends in COVID-19 mortality and emergency department visits in U.S. with R-INLA [0.03%]
美国县一级的COVID-19死亡率和急诊科就诊人数的空间和时空变化趋势及其R-INLA分析
Diba Khan,Mark J Panaggio,Molly E Gallagher et al.
Diba Khan et al.
Background: Weekly county-level COVID-19 mortality and emergency department (ED) visits data are critical data sources for understanding COVID-19 trends, but subject to reporting delays, sampling variability, potential in...
Adrien Saucier,Élise Fortin,Katia Charland et al.
Adrien Saucier et al.
Spatial and sociodemographic disparities in COVID-19 cases have been well documented in the literature although the specific pathways through which the virus spread across territories have received comparatively less attention. Yet, underst...
Spatial-temporal coupling of malaria vector habitat suitability and biting probability [0.03%]
疟疾媒介栖息地适宜性和叮咬概率的时空耦合关系研究
Grace R Aduvukha,Elfatih M Abdel-Rahman,Onisimo Mutanga et al.
Grace R Aduvukha et al.
Effective control of malaria vectors is crucial for achieving successful malaria elimination. Modelling techniques play a key role in understanding the behaviour and distribution of Anopheles mosquito, the vector responsible for malaria tra...
Intra-urban inequalities in the community food environment of a Brazilian metropolitan region: An analysis of food deserts, swamps, and oases [0.03%]
巴西大都市地区社区食品环境的城乡不平等：对食品荒漠、沼泽和绿洲的分析
Emília Chagas Costa,Vanessa Sá Leal,Juliana Souza Oliveira et al.
Emília Chagas Costa et al.
The food environment in metropolitan areas is characterized by population concentration, the dynamism of food systems, and the intensity of social, cultural, and labor flows. In Brazil, these areas reflect profound intra-urban social and ec...
Ensemble Bayesian modelling with dynamic population to estimate excess deaths due to extreme temperatures [0.03%]
基于动态人群集合贝叶斯模型估算极端气温相关的超额死亡
Garyfallos Konstantinoudis,Anthony Hauser,Julien Riou
Garyfallos Konstantinoudis
Extreme heat has been linked to increased mortality. Monitoring the mortality burden attributable to extreme heat is crucial to inform policies, such as heat warnings, and prevent heat-related deaths. In this study, we evaluate excess morta...