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ObjectivesWe aimed to establish a set of disability weights (DWs) for COVID-19 symptoms, evaluate the disease burden of inpatients and analyse the characteristics and influencing factors of the disease.DesignThis was a multicentre retrospective cross-sectional descriptive study.SettingThe medical records generated in three temporary military hospitals in Wuhan.ParticipantsMedical records of 2702 inpatients generated from 5 February to 5 April 2020 were randomly selected for this study.Primary and secondary outcome measuresDWs of COVID-19 symptoms were determined by the person trade-off approach. The inpatients’ medical records were analysed and used to calculate the disability-adjusted life years (DALYs). The mean DALY was evaluated across sex and age groups. The relationship between DALY and age, sex, body mass index, length of hospital stay, symptom duration before admission and native place was determined by multiple linear regression.ResultsFor the DALY of each inpatient, severe expiratory dyspnoea, mild cough and sore throat had the highest (0.399) and lowest (0.004) weights, respectively. The average synthetic DALY and daily DALY were 2.29±1.33 and 0.18±0.15 days, respectively. Fever and fatigue contributed the most DALY at 31.36%, whereas nausea and vomiting and anxiety and depression contributed the least at 7.05%. There were significant differences between sex and age groups in both synthetic and daily DALY. Age, body mass index, length of hospital stay and symptom duration before admission were strongly related to both synthetic and daily DALY.ConclusionsAlthough the disease burden was higher among women than men, their daily disease burdens were similar. The disease burden in the younger population was higher than that in the older population. Treatment at the hospitals relieved the disease burden efficiently, while a delay in hospitalisation worsened it.

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To establish biosafety risk-management guidelines for clinical departments of military central hospitals in China. Using failure mode and effects analysis (FMEA), we assessed the biosafety risk priority number (RPN) of clinical departments of three military central hospitals. Nosocomial infection (NI), medical substance-associated accident (MSA), medical technology misuse (MTM), and synthetic RPN were 0.50 to 4.37, 0.50 to 2.91, 0.50 to 3.42, and 0.64 to 3.28, respectively. NI prevention investment was negatively correlated with NI risk, while NI RPN was positively correlated with MSA RPN. There were significant differences between groups of departments in synthetic and MTM RPN. NI, MSA, and MTM constitute a hospital biosafety risk. However, their risk factors are distributed differently among departments. Traditional NI prevention investment can reduce NI risk, but such investments were not effective for MSA and MTM. Targeted measures need to be taken by referring to RPN and risk levels derived from FMEA.