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Decline of onset-to-diagnosis interval and its impacts on clinical outcome of COVID-19 in China: a nation-wide observational study | BMC Infectious Diseases

To quantitatively assess the impact of the onset-to-diagnosis interval (ODI) on severity and death for coronavirus disease 2019 (COVID-19) patients. This retrospective study was conducted based on the data on COVID-19 cases of China over the age of 40 years reported through China’s National Notifiable Infectious Disease Surveillance System from February 5, 2020 to October 8, 2020. The impacts of ODI on severe rate (SR) and case fatality rate (CFR) were evaluated at individual and population levels, which was further disaggregated by sex, age and geographic origin. As the rapid decline of ODI from around 40 days in early January to < 3 days in early March, both CFR and SR of COVID-19 largely dropped below 5% in China. After adjusting for age, sex, and region, an effect of ODI on SR was observed with the highest OR of 2.95 (95% CI 2.37‒3.66) at Day 10–11 and attributable fraction (AF) of 29.1% (95% CI 22.2‒36. ....

Chinese Center , R Foundation For Statistical Computing , Treatment Program For Novel Coronavirus Infected Pneumonia , National Health Commission , Treatment Program , Novel Coronavirus Infected , Treatment Scheme , New Coronavirus Infected , Health Commission , Disease Control , Statistical Computing ,

Cureus | Changes in the Emergency General Surgery Operations in the Setting of COVID-19 and Impact of Strategy of Non-Operative Management on Outcomes in Acute Appendicitis

Cureus | Changes in the Emergency General Surgery Operations in the Setting of COVID-19 and Impact of Strategy of Non-Operative Management on Outcomes in Acute Appendicitis
cureus.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from cureus.com Daily Mail and Mail on Sunday newspapers.

United Kingdom , World Health Organization , R Foundation For Statistical Computing , Statistical Computing , Surgery Versus Conservative ,

Age–period–cohort analysis of pulmonary tuberculosis reported incidence, China, 2006–2020 | Infectious Diseases of Poverty

Tuberculosis (TB) poses a severe public health challenge in China and worldwide. This study evaluated the effects of age, period, and birth cohort on reported incidence trends of TB based on population and refined the characteristics of high-risk groups. Aggregate data that reported pulmonary tuberculosis (PTB) cases from China Tuberculosis Management Information System (TBIMS) from 2006 to 2020 were used to analyze effect coefficients through the age–period–cohort (APC) model based on intrinsic estimator (IE) method, and converted them into relative risk (RR) to estimate trends. A total of 14.82 million cases of PTB were reported in China from 2006 to 2020, showing a continuous downward trend. The reporting rate increased with age by age group, with 70–74 years old being 2–3 times higher than that in 20–24 years old. APC analysis model showed that age effects were bimodal in 20–24 years old [RR = 2.29, ....

Inner Mongolia , Nei Mongol , Management Information System Of The Chinese Center , National Bureau Of Statistics , R Foundation For Statistical Computing , Integrated Management Information System , Chinese Center , Disease Prevention , Chinese Population Census , National Bureau , Statistical Computing ,