Estimated disability weights for the severity of health outcomes: a systematic review and meta-analysis [0.03%]
健康结果损害程度的残疾权重估计：系统综述和荟萃分析
Xiaoxue Liu,Yongbo Wang,Fang Wang et al.
Xiaoxue Liu et al.
Background: The disability weight quantifies the severity of health states from diseases and injuries. It is a fundamental index to estimate the disability-adjusted life year in the Global Burden of Disease studies. Disab...
Chronic respiratory diseases risk during the COVID-19 pandemic: an integrated modelling approach based on hospital records across 30 countries [0.03%]
基于30个国家的医院记录的集成建模方法在新冠疫情期间对慢性呼吸系统疾病的威胁研究
Cui Zhou,Jing Gao,Pia Lindberg et al.
Cui Zhou et al.
Background: Globally, there are significant inequalities in risk for chronic respiratory disease patients with COVID-19 (CRD-COVID), and a comprehensive understanding of its determinants and their interactions is needed. ...
Household crowding and mortality before and during the COVID-19 pandemic among adults: Findings from longitudinal population surveillance data in rural and peri-urban settings in Limpopo, South Africa [0.03%]
南非北林波波省农村和城乡结合部居民点在新冠疫情前后的家庭拥挤与成人死亡率：来自纵向人群监测数据的证据
Kagiso Peace Seakamela,Jean Juste Harrisson Bashingwa,Joseph Tlouyamma et al.
Kagiso Peace Seakamela et al.
Background: Household overcrowding is a public health concern linked to increased morbidity and mortality. There is limited data available on the effects of COVID-19 on age-specific mortality in the context of household c...
Reducing inequalities using an unbiased machine learning approach to identify births with the highest risk of preventable neonatal deaths [0.03%]
利用无偏机器学习方法识别可预防的新生儿死亡高风险分娩以减少不平等现象
Antonio P Ramos,Fabio Caldieraro,Marcus L Nascimento et al.
Antonio P Ramos et al.
Background: Despite contemporaneous declines in neonatal mortality, recent studies show the existence of left-behind populations that continue to have higher mortality rates than the national averages. Additionally, many ...
Analysis of multimorbidity compression using a latent variable in a mixed mixture model [0.03%]
基于混合混合模型中潜在变量的多重疾病压缩效应分析
Angela Andreella,Lorenzo Monasta,Stefano Campostrini
Angela Andreella
Background: Multimorbidity, i.e., the co-presence of multiple diseases in an individual, is an increasing concern, particularly as the population ages. Addressing it is critical to improving health status and optimizing h...
Evaluation and forecasting methods to estimate number of patients with non-Hodgkin lymphoma: a systematic literature review [0.03%]
评估和预测非霍奇金淋巴瘤患者的估计数量的方法：系统文献回顾
Dan Lin,Changxia Shao,James R Rogers et al.
Dan Lin et al.
Background: Non-Hodgkin lymphoma (NHL) is the most common hematologic cancer in the US. Validated projections of NHL cases are important for various stakeholders. The study aimed to identify and characterize methods forec...
Development of novel DALY-based indices for assessing productivity loss and resource allocation for liver cancer in the MENA region [0.03%]
在中东和北非地区开发新型DALY指标以评估肝癌导致的生产力损失及资源分配情况
Shekoofeh Sadat Momahhed,Arian Banaee,Atefehsadat Haghighathoseini et al.
Shekoofeh Sadat Momahhed et al.
Objective: To develop new DALY-based indices for measuring productivity loss, health system resilience, and resource allocation efficiency for liver cancer across eight MENA countries. These will be combined into the Inte...
Accounting for uncertainty in conflict mortality estimation: an application to the Gaza War in 2023-2024 [0.03%]
考虑冲突死亡人数估计中的不确定性：以2023-2024年加沙战争为例
Ana C Gómez-Ugarte,Irena Chen,Enrique Acosta et al.
Ana C Gómez-Ugarte et al.
The ongoing Gaza War has resulted in significant loss of life and intensified an existing humanitarian crisis. Despite increasing demand for accurate data, mortality estimates remain challenging due to the inherent 'statistical fog of war'....
Improving racial data equity among minority groups in South Carolina using COVID-19 as an example: application of principal components analysis [0.03%]
以COVID-19为例使用主成分分析改善南卡罗来纳州少数族裔中的种族数据平等性
Fnu Rubaiya,Janet O&#x;Connor,Lyubomir N Kolev nd et al.
Fnu Rubaiya et al.
Background: Data inequity occurs when racial and ethnic groups are aggregated during data collection or reporting despite their differences. To demonstrate racial data equity importance, we re-analyzed South Carolina's (S...
Estimates of non-communicable disease expenditure by disease phase, sex, and age group for all OECD countries [0.03%]
OECD国家各类非传染病患者按性别、年龄组和疾病阶段的医疗费用估计值
Samantha Grimshaw,Emily Bourke,Tony Blakely
Samantha Grimshaw
Background: NCD expenditure estimates are necessary to estimate future health system expenditure trajectories for different prevention and treatment policies. However, no dataset of comparable estimates exists across OECD...