To investigate in the CT manifestations of severe and critical Coronavirus Disease 2019 (COVID-19) patients. Medical data was collected for 2 severe patients and 4 critical COVID-19 patients from onset to their recovery. Three or four CT scans for each patient were taken. The semi-quantitative analysis method was introduced for lesion and its distribution area. The ground-glass opacities (GGO) and mixed GGO with consolidation were found as the most frequent features. Consolidation followed, and the appearance of stripes which showed an increasing trend before the patient was discharged. Consolidation was associated with clinical severity and disease progression, and the rapid change of the lesion in a short period of time was also a notable feature within 2-3 weeks. After being discharged, the efficacy of treatment could be demonstrated by a follow up CT scan. The distribution of lesion also showed dynamic progress in the follow up CT scan. CT scans in the whole course provided the entire inflammation information to assess clinical severity, disease progression and the treatment efficacy for COVID-19. CT scans in the whole course provided the entire inflammation information to assess clinical severity, disease progression and the treatment efficacy for COVID-19.On December 31, 2019, the Wuhan Health Commission reported the discovery of an "unexplained" pneumonia for the first time; the pathogen was confirmed as novel coronavirus pneumonia (2019-nCoV) on January 7, 2020. As one of the important examination methods for the Corona Virus Disease 2019 (COVID-19), Computed Tomography (CT) examination plays an important role in the clinical discovery of suspected cases, diagnosis, and treatment review. This paper reviews the published papers in order to offer help in early clinical screening, disease diagnosis, disease severity determination and post-treatment review. To analyze the CT imaging results of patients with COVID-19 who previously received several follow-up visits and to explain the changes in pulmonary inflammation. Cases of 15 patients with COVID-19 were retrospectively analyzed their epidemiology, clinical history, laboratory tests, and multiple CT chest scans obtained during the disease period were studied. The CT scans of the 15 patients showed different results. Four patients had no abnormal findings in their chest CT scans. The first scan of 1 patient revealed right lower lobe inflammation, while the lesion had been completely absorbed in follow-up. Two patients showed bilateral pulmonary inflammation in the first scan which had been absorbed by follow-up but the last examination showed extensive fibrosis. Two patients had no abnormalities in their first CT scans, while pulmonary inflammation was found in the second scan and this had not been completely absorbed by the last follow-up. One patient had pulmonary interstitial lesions with no evidence ohe first CT scan of lung lesions has a certain predictive effect on the outcome and prognosis of patients. To explore the clinical and radiological characteristics of COVID-19 patients with progressive and non-progressive CT manifestations. 160 patients with COVID-19 were retrospectively included from Wenzhou and Wuhan, China. CT features including lesion position, attenuation, form and total scores (0-4) at the segment level were evaluated. Other images signs were also assessed. 65 patients were classified as progressive (group 1) and 95 as non-progressive CT (group 2) groups according to score changes between the initial and second CT. Symptoms onset-initial CT interval time in group 1 [5 (2, 7) days] were significantly shorter than that in group 2 [10 (8, 14) days] ( <0.001). Group 2 had higher radiological scores, with more lobes and segments affected, and other CT signs ( <0.05). In group 1, radiological scores, the number of lobes and segments affected as well as lesions in both peripheral and central distribution, mixed ground grass opacity and consolidation density, and patchy form increased in the second CT ( <0.05). More reticular pattern, subpleural linear opacity and bronchial dilatation were also found ( <0.05). Typically radiological characteristics of progressive CT patients could potentially help to predict changes and increase understanding of the natural history of COVID-19. Typically radiological characteristics of progressive CT patients could potentially help to predict changes and increase understanding of the natural history of COVID-19.We are on the brink of a public health crisis. Science is changing, medicine is evolving, politics are adapting as we are attempting to retain our "normal lives". The origin of COVID-19 is not exclusively a medical or scientific one. https://www.selleckchem.com/products/piperaquine-phosphate.html Rather, it lingers more towards damaged public policies with a global pandemic surfacing as merely a consequence of failed economic and health strategies. In this paper we provide a narrative review of the evolution of COVID-19 with emphasis on the its origin and the place of physicians in an ethical perspective.Recently, for the second phase of prevention of the COVID-19 Pandemic, it is being assumed the use of an app for the prevention of infections COVID-19. The utility of these apps is not yet proven and the apps for COVID-19 contact-tracing probably cannot be used as a preventive tool until the bioethics and legal issues related to their use are resolved.The 2019 corona virus disease (COVID-19) which outbreak in December 2019, in the Chinese city of Wuhan has became a global threat and is currently the largest known outbreak of atypical pneumonia affecting every continent of the world with about 6,416,828 cases and 382,867 deaths. Disease enforced lockdowns are known to cause heightened levels of depression, anxiety, and stress. Our study aimed to investigate the immediate impact of the COVID-19 pandemic enforced lockdown on mental health and quality of life among general population aged 18 years and to identify various coping strategies used under lockdown. An online survey was conducted between 1st of April-10th of May, 2020; using a validated questionnaire based on DASS-42, employing a snowball sampling technique. A total of 418 responses from 16 different countries were received. The respondents had a high level of depression and anxiety scores, which were significantly different among genders. Also, participants from developing countries-India and Pakistan had severe depression while as participants from India, Pakistan and Kingdom of Saudi Arabia had severe anxiety.