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1%. The basic reproduction number was estimated to be 4.8. With the strengthening of prevention and control measures, real-time reproduction number showed a gradual downward trend, dropping to below 1.0 on 4 February, and then continued to drop to 0.2 in mid-February. Conclusion The effectiveness of the prevention and control measures for COVID-19 in Ningbo can be evaluated by using epidemic dynamic model to provide scientific evidence for the development of the prevention and control strategies.Objective To analyze the characteristics of COVID-19 case spectrum and spread intensity in different provinces in China except Hubei province. Methods The daily incidence data and case information of COVID-19 were collected from the official websites of provincial and municipal health commissions. The morbidity rate, severity rate, case-fatality rate, and spread ratio of COVID-19 were calculated. Results As of 20 March, 2020, a total of 12 941 cases of COVID-19 had been conformed, including 116 deaths, and the average morbidity rate, severity rate and case-fatality rate were 0.97/100 000, 13.5% and 0.90%, respectively. The morbidity rates in Zhejiang (2.12/100 000), Jiangxi (2.01/100 000) and Beijing (1.93/100 000) ranked top three. read more The characteristics of COVID-19 case spectrum varied from province to province. The first three provinces (autonomous region, municipality) with high severity rates were Tianjin (45.6%), Xinjiang (35.5%) and Heilongjiang (29.5%). The case-fatality rate was highest in Xinjiang (3.95%), followed by Hainan (3.57%) and Heilongjiang (2.70%). The average spread ratio was 0.98 and the spread intensity varied from province to province. Tibet had the lowest spread ratio (0), followed by Qinghai (0.20) and Guangdong (0.23). Conclusion The intervention measures were effective in preventing the spread of COVID-19 and improved treatment effect in China. However, there were significant differences among different regions in severity, case-fatality rate and spread ratio.Objective To establish a new model for the prediction of severe outcomes of COVID-19 patients and provide more comprehensive, accurate and timely indicators for the early identification of severe COVID-19 patients. Methods Based on the patients' admission detection indicators, mild or severe status of COVID-19, and dynamic changes in admission indicators (the differences between indicators of two measurements) and other input variables, XGBoost method was applied to establish a prediction model to evaluate the risk of severe outcomes of the COVID-19 patients after admission. Follow up was done for the selected patients from admission to discharge, and their outcomes were observed to evaluate the predicted results of this model. Results In the training set of 100 COVID-19 patients, six predictors with higher scores were screened and a prediction model was established. The high-risk range of the predictor variables was calculated as blood oxygen saturation 30 years, and change in heart rate less then 12.5 beats/min. The prediction sensitivity of the model based on the training set was 61.7%, and the missed diagnosis rate was 38.3%. The prediction sensitivity of the model based on the test set was 75.0%, and the missed diagnosis rate was 25.0%. Conclusions Compared with the traditional prediction (i.e. using indicators from the first test at admission and the critical admission conditions to assess whether patients are in mild or severe status), the new model's prediction additionally takes into account of the baseline physiological indicators and dynamic changes of COVID-19 patients, so it can predict the risk of severe outcomes in COVID-19 patients more comprehensively and accurately to reduce the missed diagnosis of severe COVID-19.Influenza virus infection is a respiratory infectious disease that can seriously affect human health. Influenza viruses can have frequent antigenic variation and changes, which can result in rapid and widespread transmission resulting in annual epidemics and outbreaks in places of public gathering such as schools, kindergartens and nursing homes. According to WHO estimation, seasonal influenza epidemics have caused an annually 3 to 5 million severe cases and 290 000 to 650 000 deaths globally. Pregnant women, young children, the elderly, and persons with chronic illnesses are at high risk for severe illness and death associated with influenza virus infection. Especially, COVID-19 pandemic might co-circulate with other respiratory infectious diseases such as influenza in the coming winter-spring season. Seasonal influenza vaccination is the most effective way to prevent influenza virus infection and complications from infection. Currently, China has licensed trivalent inactivated influenza vaccine (IIV3) whichnd staff members of maternity and child care institutions at all levels. These guidelines will be updated periodically as new evidence becomes available.Carotid endarterectomy is considered the gold standard for primary and secondary stroke prevention in patients with asymptomatic and symptomatic carotid artery stenosis. The role of CEA has been defined by multiple randomized multicenter trials and CEA is the most studied surgical procedure. In recent years, with advances in endovascular techniques, carotid angioplasty and stenting (CAS) has been proposed as an alternative to CEA especially in high risk patients. In this article, we review some of the most important trials on the invasive treatment of carotid artery stenosis and summarized the most recent treatment recommendations based on current evidence. The data overwhelmingly supports revascularization of patients with symptomatic stenosis between 70-90%, with a clear preference for CEA over CAS to be done within 14 days of symptom onset is possible. However, CAS is an acceptable alternative to CEA in certain symptomatic patients such as those with severe medical comorbidities, high riding plaques, contralateral occlusion, restenosis after prior CEA, and radiation-induced stenosis. Treatment of asymptomatic patients remains controversial because of advanced of modern medical therapy and large trials are underway to define the role of invasive revascularization in these patients.

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