How much missing data is too much to impute for longitudinal health indicators? A preliminary guideline for the choice of the extent of missing proportion to impute with multiple imputation by chained equations [0.03%]
多少缺失数据量是不宜进行多重插补的临界值？使用链式方程多重插补处理纵向健康指标缺失数据的比例上限指导原则
K P Junaid,Tanvi Kiran,Madhu Gupta et al.
K P Junaid et al.
Background: The multiple imputation by chained equations (MICE) is a widely used approach for handling missing data. However, its robustness, especially for high missing proportions in health indicators, is under-research...
Effect of census-based correction of population figures on mortality rates in Germany [0.03%]
基于人口普查的德国人口数量校正对死亡率的影响
Andreas Stang,Markus Deckert
Andreas Stang
Background: The population figures in Germany are obtained by updating the results of the latest census with information from the statistics on birth, deaths and migration statistics. The Census 2011 in Germany corrected ...
Google trend analysis of the Indian population reveals a panel of seasonally sensitive comorbid symptoms with implications for monitoring the seasonally sensitive human population [0.03%]
谷歌趋势分析发现印度人口季节性敏感共病症状板块及其对监测季节性敏感人群的启示
Urmila Gahlot,Yogendra Kumar Sharma,Jaichand Patel et al.
Urmila Gahlot et al.
Seasonal variations in the environment induce observable changes in the human physiological system and manifest as various clinical symptoms in a specific human population. Our earlier studies predicted four global severe seasonal sensitive...
Number needed to isolate - a new population health metric to quantify transmission reductions from isolation interventions for infectious diseases [0.03%]
隔离需隔离人数——一个新的群体健康衡量指标，用于量化传染病隔离干预措施的传播减少情况
Aaron Prosser,Bartosz Helfer,David L Streiner
Aaron Prosser
Background: We have previously developed and reported on a procedure for estimating the purported benefits of immunity mandates using a novel variant of the number needed to treat (NNT) which we called the number needed t...
Beyond the underlying cause of death: an algorithm to study multi-morbidity at death [0.03%]
超越死亡的根本原因：用于研究死亡时的多病共存状态的算法
Francesco Grippo,Luisa Frova,Marilena Pappagallo et al.
Francesco Grippo et al.
Background: In countries with high life expectancy, a growing share of the population is living with several diseases, a situation referred to as multi-morbidity. In addition to health data, cause-of-death data, based on ...
Newly estimated disability weights for 196 health states in Hubei Province, China [0.03%]
中国湖北省196种健康状态的残疾权重的重新估算
Mengge Zhou,Lan Zhang,Tianjing He et al.
Mengge Zhou et al.
Background: The disability weight (DW) reflects the severity of non-fatal outcomes and is an important parameter in calculating the burden of disease. However, the universality of the global, national, or subnational DWs ...
Applying an ICD-10 to ICD-11 mapping tool to identify causes of death codes in an Alberta dataset [0.03%]
应用ICD-10到ICD-11映射工具识别阿尔伯塔数据集中的死亡原因代码
Chelsea Doktorchik,Danielle A Southern,James A King et al.
Chelsea Doktorchik et al.
Background: The most recent and 11th revision of the International Classification of Disease (ICD-11) is in use as of January 2022, and countries around the globe are now preparing for the implementation of ICD-11 and tra...
Grant M A Wyper
Grant M A Wyper
This year marked the launch of the Global Burden of Disease (GBD) 2021 study, the first presentation of the study to incorporate the devastating direct, and indirect, worldwide impacts from the COVID-19 pandemic on population health. Unders...
Empirical prediction intervals applied to short term mortality forecasts and excess deaths [0.03%]
应用于短期死亡率预测和超额死亡的实证预测区间
Ricarda Duerst,Jonas Schöley
Ricarda Duerst
Background: In the winter of 2022/2023, excess death estimates for Germany indicated a 10% elevation, which has led to questions about the significance of this increase in mortality. Given the inherent errors in demograph...
Tim Riffe,Iñaki Permanyer Ugartemendia,Rustam Tursun-Zade et al.
Tim Riffe et al.
Background: Incidence-based multistate models of population health are commonly applied to calculate state expectancies, such as a healthy life expectancy (HLE), or unhealthy life expectancy (UHE). These models also allow...