关键词： SARS nCoV   SARS CoV   Sequence analysis   Insertion   Deletion   Substitution  

摘要： SARS-nCoV was identified as corona virus had spread worldwide very quickly and affected more than million people worldwide. To halt this acceleration and for efficient control the knowledge on genomic information is of utmost importance. We attempted to determine the nature of variation i.e., insertion, deletion, substitution, among structural sequences required to code for membrane, spike, nucleocapsid, envelope protein and glycosylation variation between SARS CoV and SARS nCoV spike glycoproteins, respectively. Comparative sequence analysis was performed by using retrieved sequences from the NCBI database. The analyzed sequences revealed, that the sequences coding for envelope protein show minor substituting amino acids. SARS CoV showed 94.74 percent amino acid identities with SARS nCoV amino acid sequences coding for envelope protein. In comparison to SARS nCoV, distinct amino acid residues vary in SARS CoV sequences coding for membrane, nucleocapsid, and spike proteins, respectively. S protein coding sequences of SARS CoV exhibited one deletion, six insertion and six hundred three substitutions in SARS nCoV sequence. Insertion of valine was found in receptor binding domain of SARS nCoV at position 487, and NSPR amino acid residues at position 683-686. Deletions and substitutions were also found in nucleotide sequences of strain B.1.617.2 of SARS nCoV. Additionally, binding interaction pattern of ACE2 receptor protein with original wild-type SARS-CoV-2 strain with the recently evolved Omicron variant was also evaluated. The docking results substantiated that the specific variation in binding residues is likely to impact virulence pattern of both variants.

关键词： Deep learning algorithm   2019-nCoV   Infectivity   Prediction model   Public health  

摘要： The aim is to explore the development trend of COVID-19 (Corona Virus Disease 2019) and predict the infectivity of 2019-nCoV (2019 Novel Coronavirus), as well as its impact on public health. First, the existing data are analyzed through data pre-processing to extract useful feature factors. Then, the LSTM (Long-Short Term Memory) prediction model in the deep learning algorithm is used to predict the epidemic situation in Hubei Province, outside Hubei nationwide, and the whole country, respectively. Meanwhile, the impact of intervention time changes on the epidemic situation is compared. The results show that the prediction results are almost consistent with the actual values. Specifically, Hubei Province abolishes quarantine restrictions after the Spring Festival holiday, and the first COVID-19 peak is reached in late February, while the second COVID-19 peak has been reached in early March. Finally, the cumulative number of diagnoses reaches 85,000 cases, with an increase of 15,000 cases compared with the nationwide cases outside Hubei under the continuous implementation of prevention and control measures. Under the prediction of the proposed LSTM model, if the nationwide implementation of prevention and control interventions is postponed by 5 days, the epidemic will peak in early March, and the cumulative number of diagnoses will be about 200,000;and if the intervention measures are implemented five days earlier, the epidemic will peak in mid-February, with a cumulative number of diagnoses of approximately 40,000. Meanwhile, the proposed LSTM model predicts the RMSE values of the epidemic situation in Hubei Province, outside Hubei nationwide, and the whole country as 34.63, 75.42, and 50.27, respectively. Under model comparison analysis, the prediction error of the proposed LSTM model is small and has better applicability over similar algorithms. The results show that the LSTM model is effective and has high performance in infectious disease prediction, and the res

关键词： COVID-19   Vaccine   BNT162b2   ChAdOx1 nCoV-19  

摘要： BackgroundBoth BNT162b2 (Pfizer-BioNTech) and ChAdOx1 nCoV-19 (Oxford-AstraZeneca) vaccines have shown high efficacy against COVID-19 in randomized controlled trials. However, their comparative effectiveness against COVID-19 is unclear in the real world. We evaluated the comparative effectiveness of the BNT162b2 and ChAdOx1 nCoV-19 vaccines against COVID-19 in the UK general *** emulated a target trial using IQVIA Medical Research Database (IMRD), an electronic primary care database from the UK (2021). We included 1,311,075 participants, consisting of 637,549 men and 673,526 women age >= 18 years, who received vaccination with BNT162b2 or ChAdOx1 nCoV-19 between January 1 and August 31, 2021. The outcomes consisted of confirmed diagnosis of SARS-CoV-2 infection, hospitalisation for COVID-19 and death from COVID-19 in the IMRD. We performed a cox-proportional hazard model to compare the risk of each outcome variable between the two vaccines adjusting for potential confounders with time-stratified overlap weighting of propensity score (PS).ResultsDuring a mean of 6.7 months of follow-up, 20,070 confirmed SARS-CoV-2 infection occurred in individuals who received BNT162b2 vaccine (PS weighted incidence rate: 3.65 per 1000 person-months), and 31,611 SARS-CoV-2 infection occurred in those who received ChAdOx1 nCoV-19 vaccine (PS weighted incidence rate: 5.25 per 1000 person-months). The time-stratified PS weighted rate difference of SARS-CoV-2 infection for BNT162b2 group vs. ChAdOx1 nCoV-19 group was -1.60 per 1000 person-months (95% confidence interval [CI]: -1.76 to -1.43 per 1000 person-months), and the hazard ratio was 0.69 (95% CI: 0.68 to 0.71). The results were similar across the stratum of sex, age (<65 and >= 65 years), and study periods (i.e., alpha-variant predominance period and delta-variant predominance period). The PS weighted incidence of hospitalisation for COVID-19 was also lower in the BNT162b2 vaccine group than that in the ChAdOx1 va

关键词： 新型冠状病毒肺炎   缺血性脑卒中   病理生理学   临床治疗  

摘要： 新型冠状病毒肺炎是一种由新型严重急性呼吸综合征冠状病毒2型引起的传染性疾病，且该病快速发展导致并发症较多，缺血性脑卒中也与其密切相关。因此通过从免疫介导、肾素-血管紧张素系统途径、心脏栓塞和神经血管损伤的基础研究以及抗血栓治疗的临床研究等多方面综述新型严重急性呼吸综合征冠状病毒2型与缺血性脑卒中的关系，以期为临床治疗新冠肺炎患者并发缺血性脑卒中的药物开发提供思路借鉴。