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1.
Education Sciences ; 12(6):416, 2022.
Article in English | MDPI | ID: covidwho-1894260

ABSTRACT

Transnational education is education delivered to students in a country other than the country in which the awarding institution is based. While the outbreak of COVID-19 has significantly affected higher education, transnational education has exhibited its resilience against the pandemic, and has been continuously expanding in China. In parallel with the golden opportunities for the expansion of transnational education in China after the pandemic, a series of challenges resulting from the transnational context needs to be taken into due consideration, and to be properly addressed. In this paper, the opportunities and challenges for the post-COVID-19 development of transnational education in China are systematically discussed, based on the transnational education delivery at a Sino-Foreign cooperative university. Following our observations on opportunities and challenges, several suggestions are proposed, to address the potential challenges for the stable post-COVID-19 development of transnational education in China.

2.
Digit Signal Process ; 127: 103577, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1819476

ABSTRACT

The outbreak of coronavirus disease (COVID-19) and its accompanying pandemic have created an unprecedented challenge worldwide. Parametric modeling and analyses of the COVID-19 play a critical role in providing vital information about the character and relevant guidance for controlling the pandemic. However, the epidemiological utility of the results obtained from the COVID-19 transmission model largely depends on accurately identifying parameters. This paper extends the susceptible-exposed-infectious-recovered (SEIR) model and proposes an improved quantum-behaved particle swarm optimization (QPSO) algorithm to estimate its parameters. A new strategy is developed to update the weighting factor of the mean best position by the reciprocal of multiplying the fitness of each best particle with the average fitness of all best particles, which can enhance the global search capacity. To increase the particle diversity, a probability function is designed to generate new particles in the updating iteration. When compared to the state-of-the-art estimation algorithms on the epidemic datasets of China, Italy and the US, the proposed method achieves good accuracy and convergence at a comparable computational complexity. The developed framework would be beneficial for experts to understand the characteristics of epidemic development and formulate epidemic prevention and control measures.

3.
Front Med (Lausanne) ; 9: 799736, 2022.
Article in English | MEDLINE | ID: covidwho-1817972

ABSTRACT

Background: The recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak has caused millions of deaths and greatly influenced the timely diagnosis and treatment of other diseases. Throughout the pandemic, there was a dramatic reduction in the prevalence of several sexually transmitted infections. However, the impact of the ongoing pandemic on human papillomavirus (HPV) infection rates has not been investigated thus far. Materials and Methods: We retrospectively collected data regarding HPV and cervical cancer screening results of outpatients from gynecological clinics of a tertiary hospital from 1 December 2018 to 31 December 2020 in Wuhan. Based on the timeline of the SARS-CoV-2 pandemic in Wuhan, we divided this period into four relatively independent stages to compare the HPV screening visit numbers and infection rates. Results: There was a 50% drop in HPV screening visits and a 10% drop in HPV infection rates throughout the pandemic when compared with the numbers collected before the pandemic. Strict lockdown measures greatly decreased the HPV infection rate (17.03 vs. 8.29, P = 0.003). During the pandemic, the most prevalent HPV genotypes were HPV 16, 52, 58, and 53. After the pandemic, the HPV infection rate recovered quickly, but it was still slightly lower than the infection rate found before the outbreak (23.3 vs. 21.2%). Conclusion: During coronavirus disease 2019 (COVID-19) pandemic, cervical cancer screening visits and HPV infection rates have decreased dramatically. The HPV transmission has also decreased after strict lockdown. Effective HPV and cervical cancer screening programs should be strengthened immediately to reduce the transmission of HPV during and after the pandemic.

5.
Preprint in English | medRxiv | ID: ppmedrxiv-21261232

ABSTRACT

AbstractThe worldwide outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become an established global pandemic. Alongside vaccines, antiviral therapeutics are an important part of the healthcare response to counter the ongoing threat presented by COVID-19. Here, we report the discovery and characterization of PF-07321332, an orally bioavailable SARS-CoV-2 main protease inhibitor with in vitro pan-human coronavirus antiviral activity, and excellent off-target selectivity and in vivo safety profiles. PF-07321332 has demonstrated oral activity in a mouse- adapted SARS-CoV-2 model and has achieved oral plasma concentrations exceeding the in vitro antiviral cell potency, in a phase I clinical trial in healthy human participants. ClinicalTrials.gov Identifier: NCT04756531 One-Sentence SummaryPF-07321332 is disclosed as a novel, orally active, investigational small-molecule inhibitor of the SARS-CoV-2 main protease, which is being evaluated in clinical trials for the treatment of COVID-19.

6.
J Thromb Haemost ; 19(4): 1038-1048, 2021 04.
Article in English | MEDLINE | ID: covidwho-1061045

ABSTRACT

BACKGROUND: High incidence of asymptomatic venous thromboembolism (VTE) has been observed in severe COVID-19 patients, but the characteristics of symptomatic VTE in general COVID-19 patients have not been described. OBJECTIVES: To comprehensively explore the prevalence and reliable risk prediction for VTE in COVID-19 patients. METHODS/RESULTS: This retrospective study enrolled all COVID-19 patients with a subsequent VTE in 16 centers in China from January 1 to March 31, 2020. A total of 2779 patients were confirmed with COVID-19. In comparison to 23,434 non-COVID-19 medical inpatients, the odds ratios (ORs) for developing symptomatic VTE in severe and non-severe hospitalized COVID-19 patients were 5.94 (95% confidence interval [CI] 3.91-10.09) and 2.79 (95% CI 1.43-5.60), respectively. When 104 VTE cases and 208 non-VTE cases were compared, pulmonary embolism cases had a higher rate for in-hospital death (OR 6.74, 95% CI 2.18-20.81). VTE developed at a median of 21 days (interquartile range 13.25-31) since onset. Independent factors for VTE were advancing age, cancer, longer interval from symptom onset to admission, lower fibrinogen and higher D-dimer on admission, and D-dimer increment (DI) ≥1.5-fold; of these, DI ≥1.5-fold had the most significant association (OR 14.18, 95% CI 6.25-32.18, p = 2.23 × 10-10 ). A novel model consisting of three simple coagulation variables (fibrinogen and D-dimer levels on admission, and DI ≥1.5-fold) showed good prediction for symptomatic VTE (area under the curve 0.865, 95% CI 0.822-0.907, sensitivity 0.930, specificity 0.710). CONCLUSIONS: There is an excess risk of VTE in hospitalized COVID-19 patients. This novel model can aid early identification of patients who are at high risk for VTE.


Subject(s)
Biomarkers/blood , COVID-19/complications , Fibrin Fibrinogen Degradation Products/analysis , Venous Thromboembolism/diagnosis , Venous Thrombosis/epidemiology , Aged , COVID-19/blood , COVID-19/diagnosis , COVID-19/therapy , China/epidemiology , Female , Hospital Mortality , Humans , Immunization, Passive , Male , Middle Aged , Retrospective Studies , Risk Factors , SARS-CoV-2 , Venous Thromboembolism/blood , Venous Thromboembolism/epidemiology , Venous Thromboembolism/etiology , Venous Thrombosis/blood , Venous Thrombosis/etiology
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