Reproductive health services utilization and associated factors among university youth students in Ethiopia: A mixed-methods study [0.03%]
埃塞俄比亚大学生生殖健康服务利用及相关因素的混合方法研究
Tsiyon Birhanu Wube,Solomon Gebremichael Asgedom,Dawit Gebregziabher Abrha et al.
Tsiyon Birhanu Wube et al.
Background: Reproductive health services utilization among youth university students is essential for their sexual and reproductive well-being. Despite growing awareness, students often face barriers-cultural, social, and...
Generalized anxiety disorder and associated factors among Sudanese adolescents during the Sudan Army conflict: A cross sectional study [0.03%]
苏丹冲突期间苏丹青少年的广泛性焦虑障碍及其相关因素：一项横断面研究
Mohammed Haydar Awad,Maram Elmutasim,Maeen Mohieldin Mohamed et al.
Mohammed Haydar Awad et al.
Background: Anxiety is the state of being worried and uneasy about anything that happens either now or in the future. It is unclear what exactly causes generalized anxiety disorder (GAD). According to some research, a var...
Trends, prevalence, and determinants of unfavorable tuberculosis treatment outcomes among adult patients in Northeast Ethiopia: The race to achieve a 90 % treatment success rate by 2025 [0.03%]
埃塞俄比亚东北部成人结核病患者治疗结果不佳的趋势，普遍性和决定因素：到2025年实现90％的治愈率目标竞赛
Tegene Atamenta Kitaw,Amsalu Baylie,Addisu Getie et al.
Tegene Atamenta Kitaw et al.
Background: Tuberculosis (TB) continues to be a significant public health issue, especially in developing nations like Ethiopia. The country aims to reach a 90 % treatment success rate for TB by 2025. However, there is a ...
Commentary on the commentary "On measurement error, PSA doubling time, and prostate cancer" [0.03%]
对“论测量误差，PSA倍增时间和前列腺癌”的评论的评论
Lawrence L Kupper,Sandra L Martin
Lawrence L Kupper
All are not created equal: Method descriptions in an epidemiology publication differ among media summaries - A case study comparison [0.03%]
并非所有方法描述都同等重要：流行病学出版物中的媒体总结存在差异 - 一个案例研究比较
Lilianne Samad,J E Reed
Lilianne Samad
It is common to see mass media headlines about health-related topics in traditional and online news outlets, as well as on social media platforms. What a consumer might not realize is that often these headlines are a distillation of results...
Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning [0.03%]
利用机器学习模型分析内罗毕癫痫流行病学调查中脱落的因素
Daniel M Mwanga,Isaac C Kipchirchir,George O Muhua et al.
Daniel M Mwanga et al.
Background: Attrition is a challenge in parameter estimation in both longitudinal and multi-stage cross-sectional studies. Here, we examine utility of machine learning to predict attrition and identify associated factors ...
Multisystem inflammatory syndrome in children (MIS-C) associated with COVID-19, clinical characteristics: A multi-center observational study from Jordan [0.03%]
与COVID-19相关的儿童多系统炎症综合征（MIS-C）的临床特征：一项来自约旦的多中心观察性研究
Marwan Shalabi,Salam Ghanem,Iyad Al-Ammouri et al.
Marwan Shalabi et al.
Objective: Multisystem inflammatory syndrome of childhood (MIS-C) is a newly recognized entity associated with COVID-19 in children. The objective was to describe the clinical course for 74 patients diagnosed with this di...
Nurse-led medication self-management intervention in the improvement of medication adherence in adult patients with multi-morbidity: A Protocol for a Feasibility Randomized controlled trial [0.03%]
多重疾病成人患者药物自我管理能力的护士引导干预对其用药依从性改善的可行性随机对照试验方案研究
Kalpana Singh,George V Joy,Asma Al Bulushi et al.
Kalpana Singh et al.
Background: Multimorbidity in adult patients puts them at a considerable risk of not taking their medications as prescribed. It is well known that patients with chronic conditions with self-management help is an excellent...
AI-assisted exposure-response data analysis: Quantifying heterogeneous causal effects of exposures on survival times [0.03%]
基于人工智能的暴露反应数据分析：量化暴露对生存时间异质性因果效应
Louis Anthony Cox Jr,R Jeffrey Lewis,Saumitra V Rege et al.
Louis Anthony Cox Jr et al.
AI-assisted data analysis can help risk analysts better understand exposure-response relationships by making it relatively easy to apply advanced statistical and machine learning methods, check their assumptions, and interpret their results...
ACCREDIT: Validation of clinical score for progression of COVID-19 while hospitalized [0.03%]
ACCREDIT：评估临床预测评分在预测住院新冠患者疾病进展中的有效性
Vinicius Lins Costa Ok Melo,Pedro Emmanuel Alvarenga Americano do Brasil
Vinicius Lins Costa Ok Melo
COVID-19 is no longer a global health emergency, but it remains challenging to predict its prognosis. Objective: To develop and validate an instrument to ...