2020-04-20

The recent outbreak of novel coronavirus disease -19 (COVID-19) calls for and welcomes possible treatment strategies using drugs on the market. It is very efficient to apply computer-aided drug design techniques to quickly identify promising drug repurposing candidates, especially after the detailed 3D-structures of key virous proteins are resolved. The virus causing COVID-19 is SARS-Cov-2. Taking the advantage of a recently released crystal structure of SARS-Cov-2 main protease in complex with a covalently-bonded inhibitor, N3,1 I conducted virtual docking screening of approved drugs and drug candidates in clinical trials. For the top docking hits, I then performed molecular dynamics simulations followed by binding free energy calculations using an endpoint method called MM-PBSA-WSAS (Molecular Mechanics-Poisson Boltzmann Surface Area-Weighted Solvent-Accessible Surface Area).2-4 Several promising known drugs stand out as potential inhibitors of SARS-Cov-2 main protease, including

2020-04-20

The recent outbreak of novel coronavirus disease -19 (COVID-19) calls for and welcomes possible treatment strategies using drugs on the market. It is very efficient to apply computer-aided drug design techniques to quickly identify promising drug repurposing candidates, especially after the detailed 3D-structures of key virous proteins are resolved. The virus causing COVID-19 is SARS-Cov-2. Taking the advantage of a recently released crystal structure of SARS-Cov-2 main protease in complex with a covalently-bonded inhibitor, N3,1 I conducted virtual docking screening of approved drugs and drug candidates in clinical trials. For the top docking hits, I then performed molecular dynamics simulations followed by binding free energy calculations using an endpoint method called MM-PBSA-WSAS (Molecular Mechanics-Poisson Boltzmann Surface Area-Weighted Solvent-Accessible Surface Area).2-4 Several promising known drugs stand out as potential inhibitors of SARS-Cov-2 main protease, including

2021-12-02

Department of Public Administration, Division of Global Human Resources, Kangwon National University, Samcheok-si 25913, Korea.; Department of Public Administration, Ajou University, Suwon 16499, Korea.

This study aims to analyze the direct and indirect impact of beliefs in conspiracy theories on COVID-19-related preventive actions and vaccination intentions. The dominant theory in the literature is that beliefs in conspiracy theories have negative consequences. In particular, strong beliefs in conspiracy theories lower people's intentions to engage in preventive actions and get vaccinated. Previous studies indicated that this dominant theory applies in Korea as well. However, we find that this dominant theory does not apply in Korea. Based on an analysis of survey data, we find that beliefs in conspiracy theories have positive impact on preventive actions and vaccination intentions. In addition, beliefs in conspiracy theories play indirect roles in these two responses to COVID-19. Specifically, when perceived benefits and trust in the government or science enhance preventive actions or increase vaccination intentions, strong beliefs in conspiracy theories promote this effect. This

2021-03-24

Changchun University of Chinese Medicine, Changchun.; Department of Pediatrics, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.

The prevalence of children exhibiting coronavirus disease 2019 (COVID-19) with digestive system involvement remains unknown. Therefore, we aimed to quantify the impact of COVID-19 on the digestive system of children.In this meta-analysis, we searched PubMed, Embase, and Web of Science from January 1, 2020, to June 31, 2020. We also searched for COVID-19 publications in specific journals for more comprehensive results. We included studies that reported the epidemiological and clinical characteristics of COVID-19, and we excluded duplicate publications, reviews, animal studies, case reports, publications without the full text, studies with incomplete information, and studies from which data extraction was impossible.We conducted a meta-analysis of the incidence of gastrointestinal symptoms and changes in liver function involving 19 studies. The pooled prevalence of diarrhea was 10% (95% CI: 7-14; I2  = 84%), that of nausea or vomiting was 7% (95% CI: 5-11; I2  = 77%), and that of

2020-04-01

2020-04-01

Academic Publishing Center, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.;Academic Publishing Center, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.

2020-04-01

2020-03-31

Department of Neonatology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.;Department of Neonatology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China. Electronic address: shiyuan@hospital.cqmu.edu.cn.

2020-03-25

Department of Health Policy and Management, Peking University School of Public Health, Beijing 100191, China.;Department of Health Policy and Management, Peking University School of Public Health, Beijing 100191, China.

This study used the Strengths (S), Weaknesses (W), Opportunities (O) and Threats (T) (SWOT) analysis method, drawing on our experience of the response to the 2003 SARS epidemic, the 2019 China Health Statistics Yearbook data, and changes in China's policy environment for the pneumonia epidemic response relating to the novel coronavirus (COVID-19) infection, to perform a systematic analysis of the COVID-19 epidemic prevention and control strategy S, W, O, and T, with a further analysis of a strategic foundation and to determine a significant and relative strategy. We assessed and formulated strength-opportunity (SO), weakness-opportunity (WO), strength-threat (ST), and weakness-threat (WT) strategies for the prevention and control of the COVID-19 epidemic. We conducted an in-depth analysis and identified the highest-priority policies. These are: reshaping the emergency system (SO1); adding health emergency departments to universities and other institutions (WO2); adjusting the economic

2020-03-25

Department of Health Policy and Management, Peking University School of Public Health, Beijing 100191, China.;Department of Health Policy and Management, Peking University School of Public Health, Beijing 100191, China.

This study used the Strengths (S), Weaknesses (W), Opportunities (O) and Threats (T) (SWOT) analysis method, drawing on our experience of the response to the 2003 SARS epidemic, the 2019 China Health Statistics Yearbook data, and changes in China's policy environment for the pneumonia epidemic response relating to the novel coronavirus (COVID-19) infection, to perform a systematic analysis of the COVID-19 epidemic prevention and control strategy S, W, O, and T, with a further analysis of a strategic foundation and to determine a significant and relative strategy. We assessed and formulated strength-opportunity (SO), weakness-opportunity (WO), strength-threat (ST), and weakness-threat (WT) strategies for the prevention and control of the COVID-19 epidemic. We conducted an in-depth analysis and identified the highest-priority policies. These are: reshaping the emergency system (SO1); adding health emergency departments to universities and other institutions (WO2); adjusting the economic