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Aim To investigate the factors associated with the duration of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) RNA shedding in patients with coronavirus disease 2019 (COVID‐19). Methods A retrospective cohort of COVID‐19 patients admitted to a designated hospital in Beijing was analyzed to study the factors affecting the duration of viral shedding. Results The median duration of viral shedding was 11 days (IQR, 8‐14.3 days) as measured from illness onset. Univariate regression analysis showed that disease severity, corticosteroid therapy, fever (temperature>38.5℃), and time from onset to hospitalization were associated with prolonged duration of viral shedding ( p <0.05). Multivariate regression analysis showed that fever (temperature>38.5℃) (OR 5.1, 95%CI: 1.5‐18.1), corticosteroid therapy (OR 6.3, 95%CI: 1.5‐27.8), and time from onset to hospitalization (OR 1.8, 95%CI: 1.19‐2.7) were associated with increased odds of prolonged duration of viral shedding. Conclusions Corticosteroid treatment, fever (temperature>38.5℃), and longer time from onset to hospitalization were associated with prolonged viral shedding in COVID‐19 patients. This article is protected by copyright. All rights reserved.

Neonates, particularly preterm neonates, were exposed to numerous invasive painful procedures without appropriate analgesia in hospitals in China. The potential long-term impacts of poorly treated pain in neonates call for a change in pediatric practice in China and in countries with similar practices.

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Extended treatment with PEG IFNα-2a with lamivudine or adefovir for 96 weeks is a promising strategy to achieve high rates of sustainable HBeAg and HBsAg seroconversion and HBV DNA suppression in patients with HBeAg-positive CHB.

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This article investigates the dynamic output feedback control problem for a class of networked Markovian jump systems via sliding mode control method. The stochastic communication protocol schedules the communication between sensors and the controller, by which only one sensor node can access the network at one instant. First, a compensator at the controller side is utilized to yield the available measurement signals composed of the current measurement output transmitted by the selected sensor node and the past measurement output from other sensor nodes. A joint Markovian chain incorporating the Markovian chains of the system as well as the stochastic communication protocol is introduced to model the Markovian jump system subject to the stochastic communication protocol. And then, the dynamic output feedback sliding mode controller is designed and the stochastic stability is analyzed. Moreover, a feasible solving algorithm is provided via a projection technique. Finally, the proposed control scheme is verified via an electrical motor model.