• 제목/요약/키워드: COVID-19 pneumonia

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A Study and Analysis of COVID-19 Diagnosis and Approach of Deep Learning

  • R, Mangai Begum
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.149-158
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    • 2022
  • The pandemic of Covid-19 (Coronavirus Disease 19) has devastated the world, affected millions of people, and disrupted the world economy. The cause of the Covid19 epidemic has been identified as a new variant known as Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV2). It motives irritation of a small air sac referred to as the alveoli. The alveoli make up most of the tissue in the lungs and fill the sac with mucus. Most human beings with Covid19 usually do no longer improve pneumonia. However, chest x-rays of seriously unwell sufferers can be a useful device for medical doctors in diagnosing Covid19-both CT and X-ray exhibit usual patterns of frosted glass (GGO) and consolidation. The introduction of deep getting to know and brand new imaging helps radiologists and medical practitioners discover these unnatural patterns and pick out Covid19-infected chest x-rays. This venture makes use of a new deep studying structure proposed to diagnose Covid19 by the use of chest X-rays. The suggested model in this work aims to predict and forecast the patients at risk and identify the primary COVID-19 risk variables

Rapid construction delivery of COVID-19 special hospital: Case study on Wuhan Huoshenshan hospital

  • Wang, Chen;Yu, Liangcheng;Kassem, Mukhtar A.;Li, Heng;Wang, Ziming
    • Advances in Computational Design
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    • 제7권4호
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    • pp.345-369
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    • 2022
  • Infectious disease emergency hospitals are usually temporarily built during the pneumonia epidemic with higher requirements regarding diagnosis and treatment efficiency, hygiene and safety, and infection control.This study aims to identify how the Building Information Modeling (BIM) + Industrialized Building System (IBS) approach could rapidly deliver an infectious disease hospital and develop site epidemic spreading algorithms. Coronavirus-19 pneumonia construction site spreading algorithm model mind map and block diagram of the construction site epidemic spreading algorithm model were developed. BIM+IBS approach could maximize the repetition of reinforced components and reduce the number of particular components. Huoshenshan Hospital adopted IBS and BIM in the construction, which reduced the workload of on-site operations and avoided later rectification. BIM+IBS integrated information on building materials, building planning, building participants, and construction machinery, and realized construction visualization control and parametric design. The delivery of Huoshenshan Hospital was during the most critical period of the Coronavirus-19 pneumonia epidemic. The development of a construction site epidemic spreading algorithm provided theoretical and numerical support for prevention. The agent-based analysis on hospital evacuation observed "arched" congestion formed at the evacuation exit, indicating behavioral blindness caused by fear in emergencies.

코로나바이러스감염증-19 상황에서 일개 국가지정 의료기관의 이동형 병원 CT 활용 사례 (Application of Mobile Hospital Computed Tomography in a State-Designated Medical Institution under the Coronavirus Disease 2019 (COVID-19) Situation by Example)

  • 신형호;이정호;김광훈;김병진;진성찬;박현미
    • 대한방사선기술학회지:방사선기술과학
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    • 제43권2호
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    • pp.71-77
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    • 2020
  • This study aims to explain the process of providing important medical images for the diagnosis of pneumonia caused by coronavirus disease 2019 (COVID-19) through the only mobile hospital computed tomography (CT) in Korea. Since January 28, 2020, medical imaging examinations have been provided to confirmed and suspected COVID-19 patients, and the quality of images was evaluated based on the objective and subjective indicators. In order to prevent the transmission in the hospital that may occur due to exposure to medical staff and general patients, personal protective equipment was worn and the separate route was used blocking human infection factors. For 11 weeks, a total of 185 tests were performed for 98 confirmed patients and 72 suspected patients. The average time to complete the test was 33 minutes. In the course of the test, no cross-infection cases were examined. During the outbreak of the COVID-19, the only mobile hospital CT room of Korea provided medical imaging examinations without infection among medical staff and patients and also provided adequate medical images without significant difference (p >0.05) in determining the degree of pneumonia progression compared to a stationary in-hospital CT.

COVID-19 환자에서 음압격리들것을 이용한 흉부 CT 검사에 대한 전문가 의견 설문: 영상품질과 감염위험 (Expert Opinion Questionnaire About Chest CT Scan Using A Negative Pressure Isolation Strecher in COVID-19 Patients: Image Quality and Infection Risk)

  • 진광남;남보다;신재민;황성호
    • 대한영상의학회지
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    • 제84권4호
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    • pp.891-899
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    • 2023
  • 목적 급성호흡기질환인 코로나바이러스감염증-19 (coronavirus disease 2019; 이하 COVID-19) 환자를 대상으로 한 음압격리들것(negative presurre isolation stretcher; 이하 NPIS)을 이용한 흉부 전산화단층촬영(이하 CT) 방식에 대해 전문의들의 경험과 의견을 확인하고자 하였다. 대상과 방법 격리입원 중인 COVID-19 환자에게 NPIS를 이용한 흉부 CT 검사를 시행했던 9개 의료기관 소속 27명의 전문의들을 대상으로 1) 조영증강 흉부 CT가 필요한 경우, 2) NPIS를 이용한 흉부 CT의 영상품질, 그리고 3) CT 조영제주사를 위한 NPIS 개방과 CT 검사실의 오염을 주제로 설문조사를 진행하였다 결과 조사대상인 9개의 의료기관들은 기관당 한 해 평균 116건의 COVID-19관련 흉부 CT 검사를 NPIS와 함께 진행했으며. 전체 검사 건수 중 평균 24건(21%)이 조영증강 흉부 CT였다. 설문에 참여한 호흡기내과 전문의 9명 중 5명(56%)은 환자의 혈중 D-dimer 이상이 확인되면 조영증강 CT가 필요하다고 의견을 밝혔다. 한편 영상의학과 전문의 9명 모두는 NPIS로 인한 흉부 CT 영상의 품질은 폐렴 또는 폐혈전 진단이 가능한 수준이라 답하였다. 또한 감염내과 전문의 9명 중 5명(56%)은 NPIS의 개방으로 인한 CT 검사실의 이차감염은 소독을 통해 예방할 수 있는 수준으로 생각하고 있었다. 결론 격리입원 중인 COVID-19 환자에서 NPIS와 함께 흉부 CT를 진행하더라도 CT의 품질은 진단이 가능한 수준이며 NPIS가 CT 검사실 내에서 잠시 개방되더라도 CT 검사실의 감염확산 위험은 높지 않은 것으로 전문의들은 인식하고 있었다.

A Comprehensive Study of SARS-CoV-2: From 2019-nCoV to COVID-19 Outbreak

  • Waris, Abdul;Ali, Muhammad;Khan, Atta Ullah;Ali, Asmat;Baset, Abdul
    • 한국미생물·생명공학회지
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    • 제48권3호
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    • pp.252-266
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    • 2020
  • The coronavirus disease 2019 (COVID-19) is a highly contagious pneumonia that has spread throughout the world. It is caused by a novel, single stranded RNA virus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Genetic analysis revealed that, phylogenetically, the SARS-CoV-2 is related to severe acute respiratory syndrome-like viruses seen in bats. Because of this, bats are considered as a possible primary reservoir. The World Health Organization has declared the COVID-19 outbreak as a pandemic. As of May 27, 2020, more than 5,406,282 confirmed cases, and 343,562 confirmed deaths have been reported worldwide. Currently, there are no approved vaccines or antiviral drugs available against COVID-19. Newly developed vaccines are in the first stage of clinical trials, and it may take a few months to a few years for their commercialization. At present, remdesivir and chloroquine are the promising drugs for treating COVID-19 patients. In this review, we summarize the diversity, genetic variations, primary reservoirs, epidemiology, clinical manifestations, pathogenesis, diagnosis, treatment strategies, and future prospects with respect to controlling the spread of COVID-19.

Possibility as role of ginseng and ginsenosides on inhibiting the heart disease of COVID-19: A systematic review

  • Hossain, Mohammad Amjad;Kim, Jong-Hoon
    • Journal of Ginseng Research
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    • 제46권3호
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    • pp.321-330
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    • 2022
  • Coronavirus has been spreading rapidly around the world since it broke out in China in 2019. Respiratory diseases caused by coronavirus infection cause various diseases ranging from asymptomatic subclinical infections to severe pneumonia and cardiovascular complications, leading to death. In this regard, natural products are being studied to prevent various diseases caused by COVID-19. In current review, we would like to present mechanisms related to the inhibition of heart disease in ginseng and ginsenoside against SARS-CoV-2. In many previous studies, ginseng and ginsenoside are known to have antioxidant, blood flow improvement, improvement of vascular and heart function, blood pressure control, suppression of myocardial infarction and heart failure, and antiarrhythmia. Therefore, ginseng and ginsenoside have a possibility to suppress cardiovascular complications caused by COVID-19. Many of research provide evidence for ginseng and ginsenoside as treatments for the risk of cardiovascular complications. However, in this review, more specific contents on the proposition of the efficacy of ginseng and ginsenoside for COVID-19 should be presented. Therefore, we hope that researches to reduce cardiovascular complications of ginseng and ginsenoside for COVID-19 should be presented to reduce mortality for COVID-19.

Dexamethasone, but Not Vitamin D or A, Dampens the Inflammatory Neutrophil Response to Protect At-risk COVID-19 Patients

  • Florianne M.J. Hafkamp;Sanne Mol;Iris Waque;Esther C. De Jong
    • IMMUNE NETWORK
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    • 제22권4호
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    • pp.36.1-36.12
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    • 2022
  • Dexamethasone (DEX) was the first drug shown to save lives of critically ill coronavirus disease 2019 (COVID-19) patients suffering from respiratory distress. A hyperactivated state of neutrophils was found in COVID-19 patients compared to non-COVID pneumonia cases. Given the beneficial effects of DEX in COVID-19 patients, we investigated the effects of DEX and of other immunomodulatory drugs vitamin D3 (VD3) and retinoic acid (RA) on neutrophil function. DEX, but not VD3 or RA, significantly inhibited all tested aspects of neutrophil function, e.g., degranulation, intracellular ROS production, CXCL8 release and NETosis. Interestingly, RA displayed the opposite effect by significantly increasing both CXCL8 and NET release by neutrophils. Taken together, these data suggest that the lower COVID-19 mortality in DEX-treated patients may in part be due to the dampening effect of DEX on the inflammatory neutrophil response, which could prevent neutrophil plugs with NETS in the lungs and other inflamed organs of patients.

Association between Initial Chest CT or Clinical Features and Clinical Course in Patients with Coronavirus Disease 2019 Pneumonia

  • Zhe Liu;Chao Jin;Carol C. Wu;Ting Liang;Huifang Zhao;Yan Wang;Zekun Wang;Fen Li;Jie Zhou;Shubo Cai;Lingxia Zeng;Jian Yang
    • Korean Journal of Radiology
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    • 제21권6호
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    • pp.736-745
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    • 2020
  • Objective: To identify the initial chest computed tomography (CT) findings and clinical characteristics associated with the course of coronavirus disease 2019 (COVID-19) pneumonia. Materials and Methods: Baseline CT scans and clinical and laboratory data of 72 patients admitted with COVID-19 pneumonia (39 men, 46.2 ± 15.9 years) were retrospectively analyzed. Baseline CT findings including lobar distribution, presence of ground glass opacities, consolidation, linear opacities, and lung severity score were evaluated. The outcome event was recovery with hospital discharge. The time from symptom onset to discharge or the end of follow-up (for those remained hospitalized) was recorded. Data were censored in events such as death or discharge without recovery. Multivariable Cox proportional hazard regression was used to explore the association between initial CT, clinical or laboratory findings, and discharge with recovery, whereby hazard ratio (HR) values < 1 indicated a lower rate of discharge at four weeks and longer time until discharge. Results: Thirty-two patients recovered and were discharged during the study period with a median length of admission of 16 days (range, 9 to 25 days), while the rest remained hospitalized at the end of this study (median, 17.5 days; range, 4 to 27 days). None died during the study period. After controlling for age, onset time, lesion characteristics, number of lung lobes affected, and bilateral involvement, the lung severity score on baseline CT (> 4 vs. ≤ 4 [reference]: adjusted HR = 0.41 [95% confidence interval, CI = 0.18-0.92], p = 0.031) and initial lymphocyte count (reduced vs. normal or elevated [reference]: adjusted HR = 0.14 [95% CI = 0.03-0.60], p = 0.008) were two significant independent factors that influenced recovery and discharge. Conclusion: Lung severity score > 4 and reduced lymphocyte count at initial evaluation were independently associated with a significantly lower rate of recovery and discharge and extended hospitalization in patients admitted for COVID-19 pneumonia.