e-Cigarette Tobacco Flavors, Public Health, and Toxicity: Narrative Review [0.03%]
电子烟烟草风味、公共健康与毒性：叙述性综述
Yehao Sun,Prital Prabhu,Ryan Rahman et al.
Yehao Sun et al.
Background: Recently, the US Food and Drug Administration implemented enforcement priorities against all flavored, cartridge-based e-cigarettes other than menthol and tobacco flavors. This ban undermined the products' app...
Geospatial Imprecision With Constraints for Precision Public Health: Algorithm Development and Validation [0.03%]
具有约束条件的地理空间不确定性在精确公共卫生中的应用：算法开发与验证
Daniel Harris,Chris Delcher
Daniel Harris
Background: Location and environmental social determinants of health are increasingly important factors in both an individual's health and the monitoring of community-level public health issues. ...
Intention to Use Mobile-Based Partograph and Its Predictors Among Obstetric Health Care Providers Working at Public Referral Hospitals in the Oromia Region of Ethiopia in 2022: Cross-Sectional Questionnaire Study [0.03%]
2022年埃塞俄比亚奥罗米亚地区公立转诊医院产科卫生保健提供者使用移动基线胎盘图的意向及其预测因素：横断面问卷研究
Kefyalew Naniye Tilahun,Jibril Bashir Adem,Wabi Temesgen Atinafu et al.
Kefyalew Naniye Tilahun et al.
Background: A partograph is a pictorial representation of the relationship between cervical dilatation and the time used to diagnose prolonged and obstructed labor. However, the utilization of paper-based partograph is lo...
Characterization of Post-COVID-19 Definitions and Clinical Coding Practices: Longitudinal Study [0.03%]
关于Post-COVID-19定义和临床编码实践的特征研究：纵向研究
Monika Maripuri,Andrew Dey,Jacqueline Honerlaw et al.
Monika Maripuri et al.
Background: Post-COVID-19 condition (colloquially known as "long COVID-19") characterized as postacute sequelae of SARS-CoV-2 has no universal clinical case definition. Recent efforts have focused on understanding long CO...
Deriving Treatment Decision Support From Dutch Electronic Health Records by Exploring the Applicability of a Precision Cohort-Based Procedure for Patients With Type 2 Diabetes Mellitus: Precision Cohort Study [0.03%]
基于荷兰电子健康记录的2型糖尿病患者的治疗决策支持的精准队列研究：探索患者治疗决策支持的精准队列方法适用性研究
Xavier Pinho,Willemijn Meijer,Albert de Graaf
Xavier Pinho
Background: The rapidly increasing availability of medical data in electronic health records (EHRs) may contribute to the concept of learning health systems, allowing for better personalized care. Type 2 diabetes mellitus...
Effect of Long-Distance Domestic Travel Ban Policies in Japan on COVID-19 Outbreak Dynamics During Dominance of the Ancestral Strain: Ex Post Facto Retrospective Observation Study [0.03%]
日本国内长途旅行禁令对COVID-19疫情动态的影响：事后回顾性观察研究
Junko Kurita,Yoshitaro Iwasaki
Junko Kurita
Background: In Japan, long-distance domestic travel was banned while the ancestral SARS-CoV-2 strain was dominant under the first declared state of emergency from March 2020 until the end of May 2020. Subsequently, the "G...
Nathalie Huguet,Jinying Chen,Ravi B Parikh et al.
Nathalie Huguet et al.
Machine learning (ML) approaches could expand the usefulness and application of implementation science methods in clinical medicine and public health settings. The aim of this viewpoint is to introduce a roadmap for applying ML techniques t...
Machine Learning for Prediction of Tuberculosis Detection: Case Study of Trained African Giant Pouched Rats [0.03%]
机器学习在结核病检测预测中的应用——以非洲巨囊鼠为例的案例研究
Joan Jonathan,Alcardo Alex Barakabitze,Cynthia D Fast et al.
Joan Jonathan et al.
Background: Technological advancement has led to the growth and rapid increase of tuberculosis (TB) medical data generated from different health care areas, including diagnosis. Prioritizing better adoption and acceptance...
Yehao Sun,Prital Prabhu,Dongmei Li et al.
Yehao Sun et al.
This viewpoint aims to provide a comprehensive understanding of vaping from various perspectives that contribute to the invention, development, spread, and consequences of e-cigarette products and vaping. Our analysis showed that the specif...
Correction: Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis [0.03%]
对机器学习模型预测复杂慢性病患者死亡风险的回顾性分析进行更正：观察性研究
Guillem Hernández Guillamet,Ariadna Ning Morancho Pallaruelo,Laura Miró Mezquita et al.
Guillem Hernández Guillamet et al.
[This corrects the article DOI: 10.2196/52782.]. ©Guillem Hernández Guillamet, Ariadna Ning Morancho Pallaruelo, Laura Miró Mezquita, Ramón Miralles,...
Published Erratum
Online journal of public health informatics. 2024 Mar 21:16:e58453. DOI:10.2196/58453 2024