ABSTRACT
To investigate the prevalence of interpersonal sensitivity, anxiety, depression symptoms and associated risk factors among a large-scale sample of college students in China during the COVID-19 campus lockdown. The survey was conducted among undergraduate students at a university in eastern part of China in April 2022. The Chi-square test was used to compare the different variable groups and multivariable analysis was performed for the risk factors associated with interpersonal sensitivity, anxiety, and depression symptoms. A total of 12,922 college students were included, with an average age of (20.96 ± 1.66) years. The prevalence of interpersonal sensitivity, anxiety and depression symptoms in this study was 58.1, 22.7, and 46.8%, respectively. Male (OR = 1.16, p < 0.001), 22–23 years (OR = 1.40, p < 0.001), freshman (OR = 1.35, p = 0.002), and non-only child (OR = 1.15, p < 0.001) were positively associated with interpersonal sensitivity. Male (OR = 1.20, p < 0.001), sophomores (OR = 1.27, p = 0.020) and seniors (OR = 1.20, p = 0.027) were positively associated with anxiety symptoms. Compared with female students, male students (OR = 0.89, p < 0.001) were less likely to have depression symptoms. 22–23 years (OR = 1.37, p < 0.001), sophomores (OR = 1.26, p = 0.009) and non-only child (OR = 1.11, p = 0.009) were positively associated with depression symptoms. In addition, college students aged 18–21 years, learning status, skipping breakfast, roommate relationship and sleep quality were associated with interpersonal sensitivity, anxiety and depression symptoms (all p < 0.05). The findings of this study suggest a high prevalence of interpersonal sensitivity, anxiety and depression symptoms among Chinese college students during the COVID-19 campus lockdown. Younger ages, low grades, poor dormitory relationship, negative learning status, skipping breakfast and poor sleep quality were the risk factors for college students’ mental health, which should be concerned by the relevant departments of school during the campus lockdown.
ABSTRACT
2019 novel coronavirus (SARS-CoV-2) is a new strain of coronavirus that has never been found in humans. SARS-CoV-2 is a beta coronavirus. whereas the coronaviruses infecting pet dogs and cats arise mainly from a-coronaviruses. Whether SARS-CoV-2 infects cats, dogs and other pets is an important public-health issue during this time. In the present study, respiratory-tract symptoms in 20 pet cats and 4 pet dogs (especially with obvious fever and cough symptoms) in Beijing, China, were detected by fluorescence quantitative polymerase chain reaction (PCR) of SARS-CoV-2 and established diagnostic methods. Throat swabs were collected to detect the nucleic acids of SARS-CoV-2 using fluorescence quantitative PCR and to detect other pathogens. The nucleic acids of SARS-CoV-2 were not present in the 24 pets that we evaluated.
ABSTRACT
The sustainability of the mask emergency supply chain faces two problems during the current COVID-19 pandemic. First, mask manufacturers are mainly small and mid-size enterprises, resulting in a lack of funds and credit lines for the introduction of equipment. Second, the periodicity and uncertainty of pandemics create overcapacity risk for the mask emergency supply chain. To solve these problems, this study incorporates financial leasing institutions and the government into the mask emergency supply chain. Based on a questionnaire survey of practitioners of financial leasing institutions, the relationship between mask manufacturers, financial leasing institutions, and the government in the mask supply chain is analyzed through a game model, and the behavior of mask manufacturers to reduce the scale of mask production after the occurrence of overcapacity is investigated using the cusp catastrophe theory. We find that in the case of masks’ overcapacity, mask manufacturers tend to continue production. Finally, we propose that financial leasing institutions should lease mask production equipment to mask manufacturers under the guarantee of the government and develop a mechanism for the three parties to jointly share the risk of mask overcapacity, aiming at ensuring the sustainable manufacturing of masks during the pandemic.
ABSTRACT
BackgroundQingfei Paidu Tang (QPT), a formula of traditional Chinese medicine, which was suggested to be able to ease symptoms in patients with Coronavirus Disease 2019 (COVID-19), has been recommended by clinical guidelines and widely used to treat COVID-19 in China. However, whether it decreases mortality remains unknown. PurposeWe aimed to explore the association between QPT use and in-hospital mortality among patients hospitalized for COVID-19. Study designA retrospective study based on a real-world database was conducted. MethodsWe identified patients consecutively hospitalized with COVID-19 in 15 hospitals from a national retrospective registry in China, from January through May 2020. Data on patients characteristics, treatments, and outcomes were extracted from the electronic medical records. The association of QPT use with mortality was evaluated using Cox proportional hazards models based on propensity score analysis. ResultsOf the 8939 patients included, 28.7% received QPT. The crude mortality was 1.2% (95% confidence interval [CI] 0.8% to 1.7%) among the patients receiving QPT and 4.8% (95% CI 4.3% to 5.3%) among those not receiving QPT. After adjustment for patient characteristics and concomitant treatments, QPT use was associated with a relative reduction of 50% in in-hospital mortality (hazard ratio, 0.50; 95% CI, 0.37 to 0.66 P <0.001). This association was consistent across subgroups by sex and age. Meanwhile, the incidence of acute liver injury (8.9% [95% CI, 7.8% to 10.1%]vs. 9.9% [95% CI, 9.2% to 10.7%]; odds ratio, 0.96 [95% CI, 0.81% to 1.14%], P =0.658) and acute kidney injury (1.6% [95% CI, 1.2% to 2.2%] vs. 3.0% [95% CI, 2.6% to 3.5%]; odds ratio, 0.85 [95% CI, 0.62 to 1.17], P =0.318) was comparable between patients receiving QPT and those not receiving QPT. The major study limitations included that the study was an observational study based on real-world data rather than a randomized control trial, and the quality of data could be affected by the accuracy and completeness of medical records. ConclusionsQPT was associated with a substantially lower risk of in-hospital mortality, without extra risk of acute liver injury or acute kidney injury among patients hospitalized with COVID-19.
Subject(s)
COVID-19ABSTRACT
Background Novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is pandemic. However, data concerning the epidemiological features, viral shedding, and antibody dynamics between asymptomatic SARS-CoV-2 carriers and COVID-19 patients remain controversial.Methods A total of 193 subjects in Ningbo and Zhoushan, Zhejiang, China, were enrolled in this study from January 21 to March 6, 2020. All subjects were tested positive for SARS-CoV-2 genomic RNA by quantitative reverse transcription PCR and then followed up to monitor the dynamics of serum antibody immunoglobulin M (IgM) and immunoglobulin G (IgG) against SARS-CoV-2 using enzyme-linked immunosorbent assays. Scatter diagram to demonstrate the distribution of IgM and IgG among asymptomatic carriers and COVID-19 patients were generated by R.Results Of the 193 subjects, 31 were asymptomatic SARS-CoV-2 carriers, 149 were symptomatic COVID-19 patients, and 14 were COVID-19 patients during the incubation. Compared to symptomatic COVID-19 patients, asymptomatic SARS-CoV-2 carriers were younger and had higher levels of white blood cell and lymphocyte, lower levels of C-reactive protein (CRP) and viral load, and shorter viral shedding time. Seroconversion of IgM against SARS-CoV-2 from positive to negative in asymptomatic carriers took 7.50 (IQR, 4.75–11.50) days, which was significantly shorter than 25.50 (IQR, 6.75–56.75) days in COVID-19 patients (P = 0.030). The proportion of those persistently seropositive for IgG against SARS-CoV-2 was higher in COVID-19 patients than in asymptomatic carriers (66.1% vs. 33.3%, P = 0.037). Viral load was higher in symptomatic than presymptomatic COVID-19 patients. Viral shedding was longer in presymptomatic COVID-19 patients than in asymptomatic carriers. In 4 familial clusters of SARS-CoV-2 infection, asymptomatic carriers were mainly children and young adults while severe COVID-19 was mainly found in family members older than 60 years with underlying diseases. Asymptomatic carriers acquired infection more from intra-familial transmission than did COVID-19 patients (89% vs. 61%, P = 0.028).Conclusion Asymptomatic carriers might have a higher antiviral immunity to clear SARS-CoV-2 than symptomatic COVID-19 patients and this antiviral immunity might not be contributable to humoral immunity. The severity of COVID-19 is associated with older age and underlying diseases in familial clustering cases.