Corpus overview


MeSH Disease

Human Phenotype



There are no seroprevalence terms in the subcorpus

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    An Analysis Review, Detection Coronavirus Disease MESHD 2019 (COVID-19) based on Biosensor Application

    Authors: Norhana Arsad; Bakr Taha; Yousif Al Mashhadany

    id:10.20944/preprints202008.0597.v1 Date: 2020-08-27 Source:

    The global spread of coronavirus disease MESHD (COVID -19) worldwide has had a significant effect on social and economic growth. The contamination keeps on advancing quickly and eccentrically, representing a significant test to its recognition and conclusion. Coronaviruses are commonly recognized by seclusion from tests, regardless of whether natural or clinical, utilizing some atomic science procedures, which can take a few days. In this work an analytical review of virus transmission TRANS, methods of diagnosing COVID -19 using artificial intelligence techniques to classify images and types of biosensors. At long last, the deformities MESHD and points of interest of each kind of sensor are recognized and examined. This exploration gives an explanatory audit of the utilization of crown infection COVID-19 in 2019. Related examinations were led utilizing five dependable databases, for example, Science Direct, IEEE Xplore, Scopus, Web of Science, and PubMed. An acceptable investigation is remembered for this audit, which can be depended upon as a logical database to put resources into another technique for recognizing COIVD-19.

    Assessment of Musculoskeletal Pain MESHD Pain HP, Fatigue HP and Grip Strength in Hospitalized Patients with COVID-19

    Authors: Sansin Tuzun; Aslinur Keles; dilara okutan; Tugbay Yildiran; Deniz Palamar

    doi:10.21203/ Date: 2020-08-10 Source: ResearchSquare

    IMPORTANCE Coronavirus disease 2019 (COVID-19) is an emerging disease that was declared as a pandemic by WHO. Although there are many retrospective studies to present clinical aspects of the COVID-19, still the involvement of the musculoskeletal system has not been deeply investigated.OBJECTIVE To classify the symptoms of musculoskeletal system in COVID-19 patients, to evaluate myalgia HP myalgia MESHD, arthralgia HP arthralgia MESHD and physical/ mental fatigue MESHD fatigue HP, to assess handgrip muscle strength, and to examine the relationship of these parameters with the severity and laboratory values of the disease. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study was performed at the IUC-Cerrahpaşa Pandemic Clinic. Hospitalized 150 adults TRANS with laboratory and radiological confirmation of severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2) according to WHO interim guidance were included in the study. Data were recorded from May 15,2020, to June 30, 2020.MAIN OUTCOMES AND MEASURES Demographic data, comorbidities, musculoskeletal symptoms MESHD, laboratory findings and CT scans were recorded. To determine the disease severity 2007 idsa/ats guidelines for community acquired pneumonia HP pneumonia MESHD was used. Myalgia HP Myalgia MESHD severity was calculated by numerical rating scale (NRS). Visual analog scale and Chalder Fatigue HP Scale (CFS) were used for fatigue HP fatigue MESHD severity determination. Handgrip strength (HGS) was measured by Jamar hand dynamometer.RESULTS 103 patients (68.7%) were nonsevere and 47 patients (31.3%) were severe. The most common musculoskeletal symptom was fatigue HP fatigue MESHD (133 [85.3%]), followed by myalgia HP myalgia MESHD (102 [68.0%]), arthralgia HP arthralgia MESHD (65 [43.3%]) and back pain HP back pain MESHD (33 [22.0%]). Arthralgia HP Arthralgia MESHD, which was mostly notable at wrist (25 [16.7%]), ankle (24 [16.0%]) and knee (23 [15.3%]) joints, showed significant correlation with disease severity. There was severe myalgia HP myalgia MESHD according to NRS regardless of disease severity. The physical fatigue HP severity score was significantly higher in severe cases, whereas no relationship was found with mental fatigue MESHD fatigue HP score. Female patients with severe infection HP infection MESHD had lower grip strength with a mean value of 18.26 kg (P= .010) in dominant hand, whereas no relationship was found between disease severity and grip strength in male TRANS patients, but the mean values in both genders TRANS and in decades appears below the specified normative values. Lactate dehydrogenase (LDH) level and lymphocyte count were significantly correlated with lower grip strength. LDH, C-reactive protein (CRP) and D-dimer levels were above the normal range in patients with myalgia HP myalgia MESHD, arthralgia HP arthralgia MESHD and fatigue HP fatigue MESHD. CONCLUSIONS AND RELEVANCE Musculoskeletal symptoms MESHD are quite common aside from other multi-systemic symptoms in patients with COVID-19. Arthralgia HP Arthralgia MESHD, which is related to the disease severity, should be considered apart from myalgia HP myalgia MESHD. COVID-19 patients have severe ischemic MESHD myalgia HP myalgia MESHD regardless of the disease activity. Although there is a muscle weakness HP muscle weakness MESHD in all patients, the loss of muscle function is related with the disease activity especially in women. Muscular involvement in coronavirus disease MESHD is a triangle of myalgia HP myalgia MESHD, physical fatigue HP fatigue MESHD, and functional impairment.

    Impact of the Covid-19 lockdown period on adult TRANS musculoskeletal injuries MESHD and surgical management: a retrospective monocentric study

    Authors: Vincent Crenn; Monia El Kinani; Guy Pietu; Leteve Marie; Mike Persigant; Cécile Toanen; Yoann Varenne; Nicolas Goffinet; Kevin Buffenoir; François Javaudin; Emmanuel Montassier

    doi:10.21203/ Date: 2020-07-13 Source: ResearchSquare

    Background The coronavirus disease MESHD 2019 (COVID-19) pandemic has led to the worldwide implementation of unprecedented public protection measures. On the 17th of March, the French government announced a lockdown of the population for 8 weeks. This monocentric study assessed the impact of this lockdown on the musculoskeletal injuries MESHD treated at the emergency department as well as the surgical indications.Methods We carried out a retrospective study in the Emergency Department and the Surgery Department of Nantes University Hospital from 18 February to 11 May 2020. We collected data pertaining to the demographics, the mechanism, the type, the severity, and inter-hospital transfer for musculoskeletal injuries MESHD from our institution. We compared the four-week pre-lockdown period and the eight-week lockdown period divided into two four-week periods: early lockdown and late lockdown.Results There was a 52.1% decrease in musculoskeletal injuries MESHD among patients presenting to the Emergency Department between the pre-lockdown and the lockdown period (weekly incidence: 415.3 ± 44.2 vs. 198.5 ± 46.0, respectively, p < .001). The number of patients with surgical indications decreased by 33.4% (weekly incidence: 44.3 ± 3.8 vs. 28.5 ± 10.2, p = .048). The policy for inter-hospital transfers to private entities resulted in 64 transfers (29.4%) during the lockdown period. There was an increase in the incidence of surgical high severity trauma MESHD (Injury Severity Score > 16) between the pre-lockdown and the early lockdown period (2 (1.1%) vs. 7 (7.2%), respectively, p = .010) as well as between the pre-lockdown and the late lockdown period (2 (1.1%) vs. 10 (8.3%), respectively, p = .004). We observed a significant increase in the weekly emergency department patient admissions between the early and the late lockdown period (161.5 ± 22.9, 235.5 ± 27.7, respectively, p = .028).Conclusion A pronounced decrease in the incidence of musculoskeletal injuries MESHD was observed secondary to the lockdown measures, with emergency department patient admissions being halved and surgical indications being reduced by a third. The increase in musculoskeletal injuries MESHD during the late confinement period and the higher incidence of severe trauma MESHD highlights the importance of maintaining a functional trauma MESHD center organization with an inter-hospital transfer policy in case of a COVID-19 second wave lockdown.

    Inbetweening auto-animation via Fokker-Planck dynamics and thresholding

    Authors: Yuan Gao; Guangzhen Jin; Jian-Guo Liu

    id:2005.08858v1 Date: 2020-05-18 Source: arXiv

    We propose an equilibrium-driven deformation algorithm MESHD (EDDA) to simulate the inbetweening transformations starting from an initial image to an equilibrium image, which covers images varying from a greyscale type to a colorful type on plane or manifold. The algorithm is based on Fokker-Planck dynamics on manifold, which automatically cooperates positivity, unconditional stability, mass conservation law, exponentially convergence and also the manifold structure suggested by dataset. The thresholding scheme is adapted for the sharp interface dynamics and is used to achieve the finite time convergence. Using EDDA, three challenging examples, (I) facial aging process, (II) coronavirus disease MESHD 2019 (COVID-19) invading/treatment process, and (III) continental evolution process are conducted efficiently.

    Knowledge, Attitude and Practice towards COVID-19 among Patients with Musculoskeletal and Rheumatic Diseases MESHD in Nepal: A Web- based Cross-Sectional Study

    Authors: Dr. Binit Vaidya; Dr. Manisha Bhochhibhoya; Dr. Rikesh Baral; Dr. Shweta Nakarmi

    doi:10.21203/ Date: 2020-04-22 Source: ResearchSquare

    Introduction/objectives: The global health crisis created by Coronavirus Disease MESHD (COVID-19) can be a serious concern to rheumatologists. The relationship of rheumatic diseases MESHD, their therapies, and COVID-19 with multiple genuine and malicious information available online can influence the knowledge and attitude of rheumatic MESHD patients. This web-based google-form study was conducted to understand the knowledge, attitude and practices of rheumatologic patients towards COVID-19 in Nepal. Methodology: A web based cross-sectional study was conducted among the patients with rheumatic diseases MESHD. Modified version of questionnaire prepared by Zhong BL et al was used after consent. It was then translated in Nepali language for comprehensibility. The final questionnaire contained a total of 29 questions; 6 for demographic parameters, 12, 5 and 6 for knowledge, attitude and practice behaviors, respectively. Simple descriptive statistics describing the positive responses in each domain. Multiple linear regression analysis done to observe demographic variables associated with the knowledge, attitude and practice. Results: Among 380 participants, 63.2% were female TRANS. Most of the participants were aware of the clinical features of COVID-19 (91.6 %), 71.5% had positive attitude towards its control, some (31.5 %) thought that they had greater chance of getting COVID-19 than others and 18.9 % believed that the anti-rheumatic medications could increase their susceptibility to infection. Majority (> 94.7%) practiced preventive measures.Conclusions: Patients with rheumatic diseases MESHD were aware of the general clinical features, route of transmission TRANS and general preventive measures regarding COVID-19.

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MeSH Disease
Human Phenotype

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