Corpus overview


MeSH Disease

Human Phenotype

Pneumonia (28)

Fever (23)

Cough (21)

Fatigue (6)

Severe infection (5)


    displaying 1 - 10 records in total 123
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    Respiratory Rehabilitation After Blood SERO Transfusion in a COVID-19 Patient: A Case Report

    Authors: Mohammad Javad Mousavi; Narges Obeidi; Saeed keshmiri; Farzan Azodi; Jamile Kiyani; Farhad Abbasi

    doi:10.21203/ Date: 2020-09-15 Source: ResearchSquare

    Background: The coronavirus disease MESHD 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2), has been identified as the most crucial threat of the century. Due to severe pneumonia HP pneumonia MESHD and acute respiratory distress syndrome MESHD respiratory distress HP syndrome ( ARDS MESHD), the SARS-CoV-2 can cause shortness of breath MESHD, hypoxemia HP hypoxemia MESHD, and the need to mechanical ventilation, intensive care unit (ICU) management, and eventual death MESHD. We have tried to use a non-invasive approach to prevent patient from needing respiratory support with invasive ventilation (IV). Here, for the first time, improvement of oxygen delivery and oxygen saturation levels were observed in a COVID-19 patient using packed red blood SERO cells (PRBCs) transfusion.Case presentation: A 63-year-old man with a history of smoking and addiction who came to our hospital facility with fever HP fever MESHD, shortness of breath MESHD and decreased blood SERO oxygen saturation. High-resolution chest CT revealed bilateral and multifocal ground-glass opacities consistent with COVID-19. Subsequently, the COVID-19 infection was confirmed TRANS infection was confirmed MESHD by real-time polymerase chain reaction (qRT-PCR) assay of the upper respiratory tract. Conclusions: Oxygen delivery and oxygen saturation improvement were observed in the COVID-19 patient, after PRBCs transfusions.

    COVID-19 outbreak and control in Kenya- Insights from a mathematical model

    Authors: Rachel Waema Mbogo; Titus Okellow Orwa

    doi:10.21203/ Date: 2020-09-14 Source: ResearchSquare

    The coronavirus disease MESHD 2019 ( COVID -19) pandemic reached Kenya in March 2020 with the initial cases reported in the capital city Nairobi and in the coastal area Mombasa. As reported by the World Health Organization, the outbreak of COVID -19 has spread across the world, killed many, collapsed economies and changed the way people live since it was first reported in Wuhan, China, in the end of 2019. As of May 25,2020 It had led to over 100,000 confirmed cases TRANS in Africa with over 3000 deaths. The trend poses a huge threat to global public health. Understanding the early transmission TRANS dynamics of the infection MESHD and evaluating the effectiveness of control measures is crucial for assessing the potential for sustained transmission TRANS to occur in new areas. We employed a SEIHCRD mathematical transmission TRANS model with reported Kenyan data on cases of COVID -19 to estimate how transmission TRANS varies over time. The model is concise in structure, and successfully captures the course of the COVID -19 outbreak, and thus sheds light on understanding the trends of the outbreak. The next generation matrix approach was adopted to calculate the basic reproduction number TRANS ( $ R_0 TRANS$ ) from the model to assess the factors driving the infection . The results from the model analysis shows that non-pharmaceutical interventions over a relatively long period is needed to effectively get rid of the COVID -19 epidemic otherwise the rate of infection will continue to increase despite the increased rate of recovery.

    Spatial Distribution and Time Series Analysis of COVID-19 Pandemic in Italy: A Geospatial Perspective

    Authors: Muhammad Farhan Ul Moazzam; Tamkeen Urooj Paracha; Ghani Rahman; Byung Gul Lee; Nasir Farid; Adnan Arshad

    doi:10.21203/ Date: 2020-09-07 Source: ResearchSquare

    The novel coronavirus pandemic disease MESHD (COVID-19) affected the whole globe, though there is lack of clinical studies and its epidemiological features. But as per the observation, it has been seen that most of COVID-19 infected MESHD patients show mild to moderate symptoms and they get better without any medical assistance due to better immune system to generate antibodies SERO against the novel coronavirus. In this study the active cases, serious cases, recovered cases, deaths MESHD and total confirmed cases TRANS have been analyzed using geospatial technique (IDW) with the time span of 2nd March to 3rd June 2020. As on 3rd June the total number of COVID-19 cases in Italy were 231,238, total deaths 33,310, serious cases 350, recovered cases 158,951 and active cases were 39,177 which has been reported by the Ministry of health, Italy. March 2nd – June 3rd 2020 a sum of 231, 238 cases has been reported in Italy out of which 38.68% cases reported in Lombardia region with death rate of 18% which is high from its national mortality rate followed by Emilia-Romagna (14.89% deaths), Piemonte (12.68% deaths), and Vento (10% deaths). As per the total cases in the region, the highest number of recoveries has been observed in Umbria (92.52%), followed by Basilicata (87%), Valle d'Aosta (86.85%) and Trento (84.54%).  The COVID-19 evolution in Italy has been particularly found in the major urban area i.e. Rome, Milan, Naples, Bologna and Florence. Geospatial technology played a vital role in this pandemic by tracking infected patient, active cases, and the recovered cases. Thus, monitoring and planning using geospatial technique is very important to control COVID-19 spread in the country.

    Acute kidney injury HP kidney injury MESHD is associated with severe and fatal outcomes in patients with Coronavirus disease MESHD 2019 (COVID-19) infection: a systematic review and meta-analysis of observational studies

    Authors: Mohammad Parohan; Sajad Yaghoubi; Mahmoud Djalali; Asal Seraji; Mohammad Hassan Javanbakht; Zahra Mousavi

    doi:10.1101/2020.08.27.20183632 Date: 2020-09-01 Source: medRxiv

    Coronavirus disease MESHD 2019 (COVID-19) is a pandemic impacting 213 countries and territories with more than 17,918,582 cases worldwide. Kidney dysfunction MESHD has been reported to occur in severe and death MESHD cases. This meta-analysis was done to summarize available studies on the association between acute kidney injury HP kidney injury MESHD and severity of COVID-19 infection MESHD. Online databases including Web of Science, PubMed/Medline, Cochrane Library, Scopus and Google Scholar were searched to detect relevant articles up to 1 July 2020, using relevant keywords. To pool data, a random- or fixed-effects model was used based on the heterogeneity between studies. In total, 50 studies with 8,180 COVID-19 confirmed cases TRANS (severe cases=1,823 and death MESHD cases=775), were included in this meta-analysis. Higher serum SERO levels of creatinine (weighted mean difference ( WMD MESHD) for disease severity=5.47 mol/L, 95% CI=2.89 to 8.05, P<0.001 and WMD for mortality=18.32 mol/L, 95% CI=12.88 to 23.75, P<0.001), blood SERO urea nitrogen (BUN) ( WMD MESHD for disease severity=1.10 mmol/L, 95% CI=0.67 to 1.54, P<0.001 and WMD for mortality=3.56 mmol/L, 95% CI=2.65 to 4.48, P<0.001) and lower levels of estimated glomerular filtration rate (eGFR) ( WMD MESHD for disease severity=-15.34 mL/min/1.73 m2, 95% CI=-18.46 to -12.22, P<0.001 and WMD for mortality=-22.74 mL/min/1.73 m2, 95% CI=-27.18 to -18.31, P<0.001) were associated with a significant increase in the severity and mortality of COVID-19 infection MESHD. Acute kidney injury HP kidney injury MESHD, as assessed by kidney biomarkers ( serum SERO creatinine, BUN and eGFR), was associated with severe outcome and death MESHD from COVID-19 infection MESHD.

    Assessment of the potential role of PM2.5/PM10 particles in intensifying the pandemic spread of SARS-CoV-2/COVID-19 in Northern Italy

    Authors: Paolo Di Girolamo

    doi:10.21203/ Date: 2020-08-28 Source: ResearchSquare

    The Severe Acute Respiratory Syndrome CoronaVirus 2 MESHD (SARS-CoV-2), which exploded in Wuhan (Hebei Region, China) in late 2019, has recently spread around the World, causing pandemic effects on humans. Italy, and especially its Northern regions around the Po Valley, has been facing severe effects in terms of infected individuals and casualties (more than 31.000 deaths MESHD and 255. 000 infected people MESHD by mid-May 2020). While the spread and effective impact of the virus is primarily related to the life styles and social habits of the different human communities, environmental and meteorological factors also play a role. Among these, pollution from PM2.5/PM10 particles, which may directly impact on the human respiratory system or act as virus carrier TRANS, thus behaving as potential amplifying factors in the pandemic spread of SARS-CoV-2. Enhanced levels of PM2.5/PM10 particles in Northern Italy were observed over the two month period preceding the virus pandemic spread. Threshold levels for PM10 (<50 µg/m³) were exceeded on 20-35 days over the period January-February 2020 in many areas in the Po Valley, where major effects in terms of infections and casualties occurred, with levels in excess of 80 µg/m³ occasionally observed in the 1-3 weeks preceding the contagious activation around February 25th. Threshold values for PM2.5 indicted in WHO air quality guidelines (<25 µg/m³) were exceeded on more than 40 days over the period January-February 2020 in large portions of the Po Valley, with levels up to 70 µg/m³ observed in the weeks preceding the contagious activation. The evolution of particle matter concentration levels throughout the month of February 2020 was carefully monitored and results are reported in the paper.In this paper PM10 particle measurements are compared with epidemiologic parameters data. Specifically, a statistical analysis is carried out to correlate the infection rate, or incidence of the pathology, the mortality rate and the case fatality rate with PM concentration levels. The study considers epidemiologic data for all 110 Italian Provinces, as reported by the Italian Statistics Institute (ISTAT, 2020), over the period 20 February-31 March 2020. Corresponding PM10 concentration levels were collected from the network of air quality monitoring stations run by different Regional and Provincial Environment Agencies, covering the period 15-26 February 2020. The case fatality rate is found to be highly correlated to the average PM10 concentration, with a correlation coefficient of 0.89 and a slope of the regression line of (6.7±0.3)×10-3 m³/µg, which implies a doubling (from 3 to 6 %) of the mortality rate of infected MESHD patients for an average PM10 concentration increase from 22 to 27 μg/m³. Infection and mortality rates are also found to be correlated with PM10 concentration levels, with correlation coefficients being 0.82 and 0.80, respectively, and the slopes of the regression lines indicating a doubling (from 1 to 2 ‰) of the infection rate and a tripling (from 0.1 to 0.3 ‰) of the mortality rate for an average PM10 concentration increase from 25 to 29 μg/m³. Epidemiologic parameters data were also compared with population density data, but no clear evidence of a mutual correlation between these quantities was found. Considerations on the exhaled particles' sizes and concentrations, their residence times, transported viral dose and minimum infective dose, in combination with PM2.5/PM10 pollution measurements and an analytical microphysical model, allowed assessing the potential role of airborne transmission TRANS through virus-transmitting PM particles, in addition to droplet transmission TRANS, in conveying SARS-CoV-2 in the human respiratory system.

    Assessment of the risk of SARS-CoV-2 reinfection in an intense re-exposure setting

    Authors: Laith J Abu-Raddad; Hiam Chemaitelly; Houssein H. Ayoub; Zaina Al Kanaani; Abdullatif Al Khal; Einas Al Kuwari; Adeel A Butt; Peter Coyle; Andrew Jeremijenko; Anvar Hassan Kaleeckal; Ali Nizar Latif; Hanan F Abdul Rahim; Mohamed Ghaith Al Kuwari; Hamad Eid Al Romaihi; Sheikh Mohammad Al Thani; Roberto Bertollini

    doi:10.1101/2020.08.24.20179457 Date: 2020-08-26 Source: medRxiv

    Background: Reinfection with severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2) has been a subject of debate. We aimed to assess the risk and incidence rate of documented SARS-CoV-2 reinfection in a large cohort of laboratory- confirmed cases TRANS in Qatar. Methods: All SARS-CoV-2 laboratory- confirmed cases TRANS with at least one PCR positive swab that is [≥]45 days after a first positive swab were individually investigated for evidence of reinfection, and classified as showing strong, good, some, or weak/no evidence for reinfection. Risk and incidence rate of reinfection were estimated. Results: Out of 133,266 laboratory-confirmed SARS-CoV-2 cases, 243 persons (0.18%) had at least one subsequent positive swab [≥]45 days after the first positive swab. Of these, 54 cases (22.2%) had strong or good evidence for reinfection. Median time between first and reinfection swab was 64.5 days (range: 45-129). Twenty-three of the 54 cases (42.6%) were diagnosed at a health facility suggesting presence of symptoms, while 31 (57.4%) were identified incidentally through random testing campaigns/surveys or contact tracing TRANS. Only one person was hospitalized at or following time of reinfection swab, but still had relatively mild infection MESHD. No deaths were recorded. Risk of reinfection was estimated at 0.04% (95% CI: 0.03-0.05%) and incidence rate of reinfection was estimated at 1.09 (95% CI: 0.84-1.42) per 10,000 person-weeks. Conclusions: SARS-CoV-2 reinfection appears to be a rare phenomenon suggestive of a strong protective immunity against reinfection that lasts for at least a few months post primary infection MESHD.

    A Systematic Review on Coronavirus Disease MESHD 2019 (COVID-19)

    Authors: Hira Karim; Muhammad Shahzeb Khan

    id:10.20944/preprints202008.0516.v1 Date: 2020-08-24 Source:

    Emerging and reemerging pathogens is a global challenge for public health. Recently, a novel coronavirus disease MESHD emerged in Wuhan, Hubei province of China, in December 2019. It is named COVID-19 by World Health Organization (WHO). It is known to be caused by Severe Acute Respiratory Syndrome Coronavirus 2 MESHD (SARS-CoV-2) that affects the lower respiratory tract and manifests as pneumonia HP pneumonia MESHD in humans. Coronaviruses (CoVs) are structurally more complicated as compared to other RNA viruses. This viral epidemic has led to the deaths of many, including the elderly TRANS or those with chronic disease MESHD or compromised immunity. Viruses cause infection MESHD and diseases in humans of varying degrees, upper respiratory tract infections MESHD respiratory tract infections HP ( URTIs MESHD) cause common cold while lower respiratory tract infections HP induce pneumonia HP pneumonia MESHD, bronchitis HP bronchitis MESHD, and even severe acute respiratory syndrome MESHD (SARS). The costs of COVID-19 are not limited. It equally affects all the medical, sociological, psychological, and economic aspects globally. This is regarded as the third deadly outbreak in the last two decades after Severe Acute Respiratory Syndrome SARS MESHD (2002–2003) and Middle East Respiratory Syndrome MERS MESHD (2012). Based on the sequence homology of SARS-CoV-2, different animal sources including bats, snakes, and pangolins have been reported as potential carriers TRANS of this viral strain. Real-time RT-PCR represents the primary method for the diagnosis of new emerging viral strain SARS-CoV-2. The transmission TRANS dynamics suggest that SARS-CoV-2 is transmitted from person-to-person through direct contact or coughing HP, sneezing HP, and by respiratory droplets. Several anti-viral treatments including lopinavir/ritonavir, remdesivir, chloroquine phosphate, and abidor are also suggested with different recommendations and prescriptions. Protective and preventive strategies as suggested by various health organization i.e. WHO and US Center for Disease Control and Prevention (CDC) must be adopted by everyone. This review covers the important aspects of novel COVID-19 including characteristics, virology, symptoms, diagnostics, clinical aspects, transmission TRANS dynamics, and protective measures of COVID-19.

    Machine learning based clinical decision supportsystem for early COVID-19 mortality prediction

    Authors: Akshaya Karthikeyan; Akshit Garg; P K Vinod; U. Deva Priyakumar; Jay Nachtigal; Yazhou He; Maria Timofeeva; Harry Campbell; Malcolm G Dunlop; Lina Zgaga; Evropi Theodoratou; Yuanjia Wang; Lily Wang; Robert L Walraven; Vishal Tomar; Katherine Sherratt; Daniel Sheldon; Robert C Reiner; B. Aditya Prakash; Dave Osthus; Michael Lingzhi Li; Elizabeth C Lee; Ugur Koyluoglu; Pinar Keskinocak; Youyang Gu; Quanquan Gu; Glover E George; Guido España; Sabrina Corsetti; Jagpreet Chhatwal; Sean Cavany; Hannah Biegel; Michal Ben-Nun; Jo Walker; Rachel Slayton; Velma Lopez; Matthew Biggerstaff; Michael A Johansson; Nicholas G Reich; - COVID-19 Forecast Hub Consortium

    doi:10.1101/2020.08.19.20177477 Date: 2020-08-22 Source: medRxiv

    The coronavirus disease MESHD 2019 (COVID-19) is an acute respiratory disease MESHD that has been classified as a pandemic by World Health Organization (WHO). The sudden spike in the number of infections MESHD and high mortality rates have put immense pressure on the public medical systems. Hence, it is crucial to identify the key factors of mortality that yield high accuracy and consistency to optimize patient treatment strategy. This study uses machine learning methods to identify a powerful combination of five features that help predict mortality with 96% accuracy: neutrophils, lymphocytes, lactate dehydrogenase (LDH), high- sensitivity SERO C-reactive protein (hs-CRP) and age TRANS. Various machine learning algorithms have been compared to achieve a consistent high accuracy across the days that span the disease. Robust testing with three cases confirm TRANS the strong predictive performance SERO of the proposed model. The model predicts with an accuracy of 90% as early as 16 days before the outcome. This study would help accelerate the decision making process in healthcare systems for focused medical treatments early and accurately.

    Study on the COVID-19 infection status, prevention and control strategies among entry people in Shenzhen

    Authors: Jing-Zhong Wang; Xuan Zou; Zi-Qian Xu; Hai-Rui Wang; Bi-Xin Wang; Jian-Fan He

    doi:10.21203/ Date: 2020-08-17 Source: ResearchSquare

    Background The overseas COVID-19 confirmed cases TRANS continue to rise for months, while people overseas prefer to return China at present. It is risky to have a large number of imported cases which may cause a relapse of COVID-19 outbreak. In order to prevent imported infection MESHD, Shenzhen government has implemented the closed-loop management strategy by taking nucleic acid testing (NAT) for severe acute respiratory syndromes coronavirus MESHD 2 (SARS-CoV-2) and requiring14-days medical observation for individuals with overseas tour history (Hong Kong, Macao, Taiwan province and other countries) within 14 days. Our study aim to describe the status of COVID-19 infection MESHD among entry people in Shenzhen, and evaluate the effect of closed-loop management strategy.Methods We made a descriptive study and risk analyze by the entry time, reported time, local confirmed cases TRANS in origin countries. The NAT were completed in Shenzhen center for disease control and prevention (CDC), ten district-level CDCs, as well as fever HP clinics.Results A total of 86,844 people overseas entered Shenzhen from January 1 to April 18, 2020, there were 39 imported cases and 293 closed contacts TRANS. The infection rate of entry people was 4.49‰ (95% CI: 3.26‰ − 6.05‰). 14 imported cases (35.9%) came from the UK, 9 (23.08%) came from the US. Entry people from the US since Mar 9 or from the UK since Mar 13 are the high-risk population. As of July 17, there have been no new confirmed cases TRANS in Shenzhen for 153 days, and the number of confirmed case TRANS, close contact TRANS, and asymptomatic TRANS case are 0. So the closed-loop management is effective to prevent imported infection MESHD and control domestic relapse. The distribution of entry time and report time for imported cases overseas was similar. So it is important to take closed-loop management at the port.Conclusions The risk of imported infection from the US and UK were higher that other countries and regions in Shenzhen. The closed-loop management is effective to prevent imported infection MESHD and control domestic relapse. Every country is closely connected under the background of globalization. In order to control COVID-19 outbreak, we need the collaboration and cooperation at the global, national, and subnational levels to prevent, detect, and respond effectively.

    Association of mental disorders MESHD with SARS-CoV-2 infection MESHD infection and severe HP health outcomes: a nationwide cohort study

    Authors: Ha-Lim Jeon; Jun Soo Kwon; So-Hee Park; Ju-Young Shin

    doi:10.1101/2020.08.05.20169201 Date: 2020-08-07 Source: medRxiv

    Background: No epidemiological data exists for the association between mental disorders MESHD and the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection MESHD and coronavirus disease MESHD 2019 (COVID-19) severity. Aims: To evaluate the association between mental disorders MESHD and the risk of SARS-CoV-2 infection MESHD infection and severe HP outcomes following COVID-19. Methods: We performed a cohort study using the Korean COVID-19 patient database based on the national health insurance data. Each patient with a mental or behavioral disorder MESHD (diagnosed during six months prior to the first SARS-CoV-2 test) was matched by age TRANS, sex, and Charlson comorbidity index with up to four patients without mental disorders MESHD. SARS-CoV-2 positivity risk and risk of death MESHD or severe events (intensive care unit admission, use of mechanical ventilation, and acute respiratory distress syndrome MESHD respiratory distress HP syndrome) post-infection were calculated using conditional logistic regression analysis. Results: Among 230,565 patients tested for SARS-CoV-2, 33,653 (14.6%) had mental disorders MESHD, 928/33,653 (2.76%) tested positive, and 56/928 (6.03%) died. In multivariate analysis with the matched cohort, there was no association between mental disorders MESHD and SARS-CoV-2 positivity risk (odds ratio [OR], 1.02; 95% confidence interval [CI], 0.92-1.12); however, a higher risk was associated with schizophrenia HP schizophrenia MESHD-related disorders (OR, 1.36; 95% CI, 1.02-1.81). Among confirmed cases TRANS, mortality risk significantly increased in patients with mental disorders MESHD (OR, 1.84, 95% CI, 1.07-3.15). Conclusion: Mental disorders MESHD are likely contributing factors of mortality following COVID-19. Although the infection risk TRANS infection risk TRANS did not increase in overall mental disorders MESHD, patients with schizophrenia HP schizophrenia MESHD-related disorders were more vulnerable to the infection MESHD.

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MeSH Disease
Human Phenotype

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