Unveiling hidden heterogeneity and inequalities in the continuum of care for reproductive, maternal, and child health services in sub-Saharan Africa: A multilevel latent class analysis approach [0.03%]
揭开撒哈拉以南非洲生殖、孕产妇和儿童卫生服务连续医疗中的隐藏异质性和不平等：多层次潜在类别分析方法
Abebew Aklog Asmare,Awoke Seyoum Tegegne,Denekew Bitew Belay
Abebew Aklog Asmare
Improving reproductive, maternal, newborn, and child health (RMNCH) services is vital for achieving the Sustainable Development Goals (SDGs) for maternal and child survival. This study utilized multilevel latent class analysis (MLCA) on Dem...
Corrigendum to [0.03%]
纠错投稿变迁图
Marwan Shalabi,Salam Ghanem,Iyad Al-Ammouri et al.
Marwan Shalabi et al.
[This corrects the article DOI: 10.1016/j.gloepi.2025.100185.]. © 2025 The Author(s).
Published Erratum
Global epidemiology. 2025 Sep 3:10:100215. DOI:10.1016/j.gloepi.2025.100215 2025
Corrigendum to 'Mathematical modelling and time series clustering of Mpox outbreak: A comparative study of the top 10 affected countries and implications for future outbreak management' [Global Epidemiology 10 (2025) 100214] [0.03%]
关于“Mpox疫情数学建模与时间序列聚类：对受影响最严重的前10个国家的比较研究及对未来疫情管理的影响”一文的勘误注释[全球流行病学10(2025)100214]
Mark-Daniels Tamakloe,Ametus Kuuwill,Ibrahim Osumanu et al.
Mark-Daniels Tamakloe et al.
[This corrects the article DOI: 10.1016/j.gloepi.2025.100214.]. © 2025 The Author(s).
Published Erratum
Global epidemiology. 2025 Sep 22:10:100216. DOI:10.1016/j.gloepi.2025.100216 2025
AlzStack: Forecasting early-onset Alzheimer's with an explainable AI system using multiple data balancing techniques [0.03%]
基于多种数据均衡技术的可解释人工智能系统阿尔茨堆栈：预测早发性阿尔兹海默病
Venkata Aditi Modali,Manohar Pavanya,R Vijaya Arjunan et al.
Venkata Aditi Modali et al.
Alzheimer's disease (AD) is a degenerative neurological disease that progresses over time, making early detection crucial for effective intervention and better patient prognosis. Traditional diagnostic methods such as cognitive assessments,...
Epidemiology of alcohol use and alcohol use disorders among the population of Buea, south west region, Cameroon: A survey study [0.03%]
喀麦隆西南部布埃亚市居民饮酒及酒依赖流行病学调查研究
Nadège Emégam Kouémou,Ven-Laura Atem Yega,Franklin Mbeboh Savo et al.
Nadège Emégam Kouémou et al.
Background: Alcohol consumption worldwide is associated with a range of health and societal problems. Epidemiology data are valuable tools for predicting the outcome of a given behaviour on the general population's health...
Cervical cancer burden in India: A descriptive epidemiological study and policy insights [0.03%]
印度宫颈癌疾病负担：一项描述性流行病学研究及政策启示
Khushwant Singh,Ashoo Grover,Kavitha Dhanasekaran
Khushwant Singh
Background: Cervical cancer remains a major global health issue, particularly in low- and middle-income countries (LMICs). Although human papillomavirus (HPV) vaccination and screening are proven preventive strategies, LM...
Philippe Pinton
Philippe Pinton
Physical activity patterns and environmental influences: Findings from the Kuwait diabetes epidemiology program [0.03%]
Kuwait糖尿病流行病学项目中的身体活动模式及环境影响
Victor M Oguoma,Mark Daniel,Ralf-D Schroers et al.
Victor M Oguoma et al.
Background: Insufficient physical activity (PA) is the fourth leading risk factor for cardiometabolic disease. This study assessed in Kuwait adults the spatial clustering of PA; relationships between PA, climatic factors ...
Incidence and temporal distribution of SARS-CoV-2 circulating in the municipal wastewaters of the Buffalo City region, Eastern Cape, South Africa [0.03%]
南非东开普省水牛城地区市政污水中SARS-CoV-2的分布及时间分布特征研究
Okuhle Mayoyo,Luyanda Msolo,Kingsley E Ebomah et al.
Okuhle Mayoyo et al.
Background: The global health catastrophe of the Coronavirus Disease 2019 (COVID-19) resulted from the emergence and proliferation of a Betacoronavirus, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Si...
Commentary on "Explainable artificial intelligence for predicting dengue outbreaks in Bangladesh using eco-climatic triggers" [0.03%]
对“利用生态气候驱动因素预测孟加拉国登革热疫情的发生的人工智能可解释性研究”的评论
Indu Singh,Arvind Kumar,Nivedita Nikhil Desai et al.
Indu Singh et al.