Assessing the validity and reliability of geotracking devices in urban settings of Nairobi, Kenya [0.03%]
评估肯尼亚内罗毕城市环境中地理跟踪设备的有效性和可靠性
Daniel I Kakou,Phylis Busienei,Kelly K Baker et al.
Daniel I Kakou et al.
Spatial methods are critical to the understanding of infectious disease transmission and accurate exposure assessments. It is widely acknowledged that a One-Health approach is required to understand infectious disease processes, implying th...
Cold exposure and urban opioid risk: A spatial regression discontinuity analysis in Chicago [0.03%]
冷暴露与城市阿片类药物风险：芝加哥的空间回归离散性分析
Dohyo Jeong,Chris Delcher,Daniel Harris
Dohyo Jeong
Opioid mortality in the United States exhibits pronounced spatial variation within major metropolitan regions. Whether these differences shift sharply at municipal boundaries where governance structures and service systems change remains po...
Exploratory topological data analysis for spatio-temporal knowledge discovery in epidemiology [0.03%]
探索性拓扑数据分析在流行病学时空知识发现中的应用研究
Cheng Jie Ooi,Nur Fariha Syaqina Zulkepli,R U Gobithaasan et al.
Cheng Jie Ooi et al.
Dengue remains a critical public health concern in Malaysia, exerting significant pressure on the healthcare system and impacting socio-economic stability. Effective control strategies require accurate interpretation of complex spatio-tempo...
A retrospective analysis of COVID-19 clusters in the Québec population from 2020 to 2022 [0.03%]
2020至2022年魁北克省人口新冠聚集性疫情的回顾性分析
Adrien Saucier,Katia Charland,Élise Fortin et al.
Adrien Saucier et al.
Throughout the pandemic, COVID-19 cases tended to organize into spatial clusters. In the absence of individual and/or network information on cases, however, surveillance systems face challenges in identifying the pathways through which thes...
Spatial disparities in access to Hepatitis C treatment providers in Los Angeles County: An enhanced two-step floating catchment area analysis [0.03%]
加强版两步浮动捕获区域分析方法揭示南加州地区肝炎C治疗资源获取的空间不均性
Jacob Mugoya Gizamba,Darren Ruddell,Jeffrey D Klausner
Jacob Mugoya Gizamba
Access to hepatitis C treatment is critical for cure, transmission prevention, and elimination efforts in the United States, yet evidence on geographic disparities in access remains limited. This study assessed spatial variation in access t...
Environmental health factors and dengue risk mapping using spatial-AHP: A case study in Nakhon Nayok Province, Thailand [0.03%]
基于空间层次分析法的登革热风险因子识别与制图——以泰国那空那育府为例
Jitjira Chaiyarit,Prat Intarasaksit
Jitjira Chaiyarit
Dengue fever is a rapidly spreading mosquito-borne disease, particularly in tropical countries like Thailand, However, limited research has examined the role of household-level environmental health factors in dengue transmission, especially...
Global mobility flows and COVID-19 spread in Europe during the emergency phase: Insights from Meta-Facebook data [0.03%]
紧急状态下欧洲的全球人口流动及其对新冠肺炎传播的影响——来自Meta-Facebook数据的启示
Thi Huyen Trang Nguyen,Niel Hens,Christel Faes
Thi Huyen Trang Nguyen
Human mobility within and between localities is a key determinant influencing the spatio-temporal spread of epidemic diseases. To investigate the role of the global mobility flows in shaping the cross-border transmission of COVID-19 in 30 E...
Spatially varying associations between a small-area index of livability and mental health outcomes in New York City: A geographically weighted Poisson regression approach [0.03%]
基于纽约市数据的空间异质性分析：采用地理加权泊松回归模型研究生活指数与精神健康之间的关联关系
Khushboo Agarwal,Rachel L Thompson,Glen D Johnson
Khushboo Agarwal
Area-level livability indices are commonly used tools for policymakers to evaluate and improve built and social environments, but their relationship to mental health is not well-understood. In this study, we used geographically weighted Poi...
Incorporating weighted block sampling techniques in epidemic curve classification [0.03%]
在流行病曲线分类中应用加权块抽样技术
Gyanendra Pokharel,Priya Pandey
Gyanendra Pokharel
In infectious disease outbreaks, transmission rate changes over time and often reaches a peak in the middle of the epidemic period. Individual-level models (ILMs) are commonly used to understand how diseases spread, and are typically fitted...
New algorithm in detecting outliers from a spatial-temporal perspective in forest fire cases [0.03%]
一种新的基于时空视角的森林火灾异常检测算法
Nur&#x;ainul Miftahul Huda,Nurfitri Imro&#x;ah
Nur&#x;ainul Miftahul Huda
Spatial-temporal outlier detection is frequently carried out using model-free, spatial-only methods (e.g., Local Moran's I) that disregard temporal dependencies, or through univariate per-location criteria that neglect spatial dependencies,...