DeepEVD: Integrating Epidemiological data into deep learning frameworks based on spatio-temporal feature learning for EVD forecasting [0.03%]
基于时空特征学习的集成流行病数据的深度学习框架的埃博拉病毒病预测(DeepEVD)
Abdul Joseph Fofanah,Alpha Alimamy Kamara,Albert Patrick Sankoh et al.
Abdul Joseph Fofanah et al.
The paper introduces DeepEVD, an innovative framework that integrates human mobility data to forecast Ebola Virus Disease (EVD) outbreaks. Traditional epidemiological models often struggle to account for the dynamic nature of human movement...
Spatio-temporal methods to handle missing data in syndromic surveillance with applications to health management information system data [0.03%]
处理综合监控中缺失数据的时空方法及其在卫生管理信息系统中的应用
Nicholas B Link,Anuraag Gopaluni,Isabel Fulcher et al.
Nicholas B Link et al.
Syndromic surveillance monitors infectious diseases, especially in situations where direct disease monitoring is unavailable. However, conventional syndromic surveillance methods face challenges in handling missing data, particularly when t...
Incorporating small-area estimation into mediation analyses with areal datasets [0.03%]
基于区域数据的中介分析中引入小面积估计的方法
Melissa J Smith,Emily K Roberts,Mary E Charlton et al.
Melissa J Smith et al.
Various methods have been employed in the medical literature to conduct mediation analyses with areal datasets. These analyses are typically performed to understand why age-adjusted incidence or mortality rates vary by county or ZIP code-le...
Detecting the occurrence of suicide clusters at city block scale: evidence from a 26-year data series [0.03%]
基于26年的数据系列在城市街区尺度检测自杀集群事件发生的时空模式分析研究
S A Estay,G Rivera,J C Olivares et al.
S A Estay et al.
Suicide clusters have profound negative impacts in the affected communities. Despite the fact that the occurrence of this phenomenon is a rare event, it has been observed across diverse cultural contexts. Suicide clusters are commonly descr...
Identifying hotspots of malaria incidence and mortality for tailored interventions in Cameroon using routine data from 2011 to 2021: A Bayesian space-time variability modeling [0.03%]
基于2011至2021年常规数据的贝叶斯时空变异性模型：识别喀麦隆疟疾病例和死亡率热点以进行量身定制的干预措施
Fottsoh Fokam Arnold,Fati Kirakoya-Samadoulougou,Ateba Marcelin et al.
Fottsoh Fokam Arnold et al.
Malaria remains a health challenge globally, particularly in Cameroon. Despite the emphasis of recent studies to provide estimates of spatio-temporal variations in malaria in the country, these studies have overlooked an important aspect of...
Spatiotemporal analysis of dengue fever in tourist destinations using a Time-Lagged DCCAC approach [0.03%]
基于时间滞后的DCCAC方法的登革热旅游目的地空间流行病学分析
Jéssica B Oliveira,Thiago B Murari,Hernane B de B Pereira et al.
Jéssica B Oliveira et al.
Background: Dengue is one of the most important neglected tropical diseases in the world and is spread rapidly through human movement, especially throughout intermunicipal, national and international routes. The Pantanal ...
Evaluation of spatial and non-spatial factors on tuberculosis using geospatial information system and fuzzy logic [0.03%]
基于地理空间信息系统的模糊逻辑结核病时空因素评价模型
Mahsa Rakhsh Khorshid,Saeed Behzadi,Alireza Sharifi et al.
Mahsa Rakhsh Khorshid et al.
Tuberculosis is a deadly infectious disease that has not been eradicated yet. The prevalence of this disease is still very high in some parts of the world, so it is considered a deadly disease. Iran is one of the countries which has not yet...
Integrating data at multiple spatial scales to estimate the local burden of the opioid syndemic [0.03%]
整合多空间尺度数据估算阿片类药物 Syndemic 的地方负担
Eva Murphy,David Kline,Erin McKnight et al.
Eva Murphy et al.
The opioid epidemic has been particularly severe in Ohio, prompting significant efforts to understand its spatial patterns, mainly using available data at the county level. However, relying solely on county-level analysis can overlook cruci...
Physician and healthcare partner engagement in the creation of healthfulness indices for West Michigan [0.03%]
西密歇根健康指数的制定：医务人员和卫生保健合作伙伴的参与度
Richard Casey Sadler,Samantha Gailey,Erin R McNeely
Richard Casey Sadler
Community participatory mapping can direct health research, offering opportunity to build spatial awareness and generate future research. Here we establish healthfulness indices by consulting healthcare system partners for their expert opin...
Disease mapping with individual level information; a case study of acute myocardial infarction mortality [0.03%]
基于个体信息的疾病空间统计研究—以心肌梗塞死亡为例子
Xavier Puig,Josep Ginebra
Xavier Puig
When mapping relative mortality risk under specific causes of death in time, one can use small areas and single year mortality data to explore the space time variation in detail. To reduce the variability of the initial mortality risk estim...