Corpus overview


Overview

MeSH Disease

Human Phenotype

Pneumonia (451)

Fever (331)

Cough (263)

Hypertension (200)

Respiratory distress (113)


Transmission

Seroprevalence
    displaying 41 - 50 records in total 4440
    records per page




    Automated COVID-19 Detection from Chest X-Ray Images : A High Resolution Network (HRNet) Approach 

    Authors: Sifat Ahmed; Tonmoy Hossain; Oishee Bintey Hoque; Sujan Sarker; Sejuti Rahman; Faisal Muhammad Shah

    doi:10.21203/rs.3.rs-56285/v1 Date: 2020-08-09 Source: ResearchSquare

    Background/ introduction: The pandemic, originated by novel coronavirus 2019 (COVID-19), continuing its devastating effect on the health, well-being, and economy of the global population. A critical step to restrain this pandemic is the early detection of COVID-19 in the human body to constraint the exposure and control the spread of the virus. Chest X-Rays are one of the non-invasive tools to detect this disease MESHD as the manual PCR diagnosis process is quite tedious and time-consuming. Our intensive background studies show that, the works till now are not efficient to produce an unbiased detection result.Method: In this work, we propose an automated COVID-19 classification method, utilizing available COVID and non-COVID X-Ray datasets, along with High Resolution Network (HRNet) for feature extraction embedding with the UNet for segmentation purposes.Results: To evaluate the proposed method, several baseline experiments have been performed employing numerous deep learning architectures. With extensive experiment, we got a significant result of 99.26% accuracy, 98.53% sensitivity SERO, and 98.82% specificity with HRNet which surpasses the performances SERO of the existing models.Conclusions: Finally, we conclude that our proposed methodology ensures unbiased high accuracy, which increases the probability of incorporating X-Ray images into the diagnosis of the disease MESHD.

    Air Quality and Its Relationship with COVID-19 Mortality in Hotspot Places of India: A Post-lockdown Analysis

    Authors: Hasan Raja Naqvi; Guneet Mutreja; Adnan Shakeel; Masood Ahsan Siddiqui

    doi:10.21203/rs.3.rs-56228/v1 Date: 2020-08-09 Source: ResearchSquare

    The COVID-19 pandemic spread over the world like the wind with more than 400,000 documented cases as of March 24th, 2020. In this regard, strict lockdown measures were imposed in India on the same date to stop the virus spread. Thereafter, various lockdown impacts were observed and one of the immediate effects was a reduction in air pollution levels across the world. In this study, we have selected 14 major hotspot places where the COVID-19 cases were >1000 (as of 1st June 2020) that represents more than 70% mortalities of India. We assessed the impact of lockdown on different air quality indicators including ground (PM2.5, PM10, NO2, SO2, O3, and AQI) and tropospheric nitric oxide (NO2) concentrations through ground monitoring stations and Sentinel-5 satellite data respectively. We have found highest reduction in NO2 (-48.68%), PM2.5 (-34.84%) and PM10 (-33.89%) air pollutant (unit in µg/m3) levels post-lockdown. Moreover, tropospheric NO2 (mol/m2) concentrations were also improved over Delhi, Mumbai, Kolkata, Thane, and Ahmedabad metro cities. Interestingly, air pollutant indicators have been correlated with different periods (as of 1st and 15th June 2020) of COVID-19 mortalities data to assess the bounding between these variables. Accordingly, we have found a strong positive correlation of mortalities data with ground PM10 (R2=0.145; r =0.38) and AQI (R2=0.17; r =0.412) indicators and this relationship has been improved significantly on second time point. The correlation finding suggests that the long-term bad air quality may aggravate the clinical symptoms of the disease MESHD.

    Self-blame regret, fear of COVID-19 and mental health during post-peak pandemic

    Authors: Hacer Belen

    doi:10.21203/rs.3.rs-56485/v1 Date: 2020-08-09 Source: ResearchSquare

    The novel Coronavirus pandemic caused strong negative emotions including fear, and stress and impacted in mental health of individuals worldwide. One of the emotions linked with mental health and infectious disease MESHD is self-blame regret. Thus, current study investigated the role of fear of COVID-19 and perceived stress in the relationship between self-blame regret and depression. A community sample of 352 individuals in Turkey (71 % female TRANS and 29 % males TRANS), ranged between in age18 and 63 (M= 28.90±8.90), completed fear of COVID-19 (FCV-19S), perceived stress (PSS-10), DASS-21 scales and responded to one item concerning the self-blame regret. Results demonstrated that self-blame regret is positively correlated with fear of COVID-19, perceived stress and depressive symptoms. Moreover, serial multiple mediation analyses demonstrated that both fear of COVID-19 and perceived stress mediated in the relationship between self-blame regret and depression. Findings and implications are discussed.

    Hospital and Population-Based Evidences for COVID-19 Early Circulation in the East of France

    Authors: Laurent Gerbaud; Candy Guiguet-Auclair; Franck Breysse; Joséphine Odoul; Lemlih Ouchchane; Jonathan Peterschmitt; Camille Dezfouli-Desfer; Vincent Breton

    id:10.20944/preprints202008.0204.v1 Date: 2020-08-08 Source: Preprints.org

    Background: Understanding the SARS-CoV-2 dynamics and transmission TRANS is a major issue to model and control its propagation. The Alsace region in the East of France has been among the first French COVID-19 clusters in 2020. Methods: We confront evidences from three independent and retrospective sources: a population-based survey through internet, an analysis of the medical records from hospital emergency MESHD care services and the review of medical biology laboratory data. We also check the role played in the virus propagation by a large religious meeting which gathered over 2000 participants from all over France mid-February in Mulhouse. Results: SARS-CoV-2 was circulating several weeks before the first officially recognized case in Alsace on February 26th 2020 and the sanitary alert on March 3rd. The religious gathering played a role for secondary dissemination of the epidemic in France, but not in creating the local outbreak which was in place much earlier. Conclusions: Our results illustrate how the integration of data coming from multiple sources could help trigger an early alarm in the context of an emerging disease MESHD. Good information data systems, able to produce earlier alerts, could have avoided a general lockdown in France.

    The Multiple Impacts of the COVID-19: A Qualitative Perspective

    Authors: Muhamad KhairulBahri

    id:10.20944/preprints202005.0033.v2 Date: 2020-08-08 Source: Preprints.org

    The world has been highly impacted by the COVID-19 as the virus has spread to all continents – about 200 countries in total. The latest update claims about 4,000,000 confirmed cases TRANS and about 300,000 confirmed deaths MESHD owing to the COVID-19 pandemic. This probably makes the COVID-19 as the most dangerous contagious disease MESHD in the era 2000s. Apart from massive publications on this topic, there is no available qualitative analysis that describes the dynamic spreads of the COVID-19 and its impacts on healthcare and the economy. Through the system archetypes analysis, this paper explains that the dynamic spread of the COVID-19 consists of the limits to growth and the success to successful structures. The limits to growth elucidates that more symptomatic and asymptomatic TRANS patients owing to infected droplets may be bounded by self-healing and isolated treatments. The success to successful structure explains that once the COVID-19 affects the economy through the lockdown, there will be a limited fund to support the government aids and the aggregate demand. In overall, this paper gives readers simplified holistic insights into understanding the dynamic spread of the COVID-19.

    Single-cell RNA-seq reveals profound monocyte changes in Paediatric Inflammatory Multisystem Syndrome MESHD Temporally associated with SARS-CoV-2 infection MESHD (PIMS-TS)

    Authors: Eleni Syrimi; Eanna Fennell; Alex Richter; Pavle Vrljicak; Richard Stark; Sascha Ott; Paul G Murray; Eslam Al-abadi; Ashish Chikermane; Pamela Dawson; Scott Hackett; Deepthi Jyothish; Hari Krishnan Kanthimathinathan; Sean Monaghan; Prasad Nagakumar; Barnaby R Scholefield; Steven Welch; Pamela Kearns; Graham Taylor

    doi:10.1101/2020.08.06.20164848 Date: 2020-08-07 Source: medRxiv

    Paediatric inflammatory multisystem inflammatory syndrome MESHD temporally associated with SARS-CoV-2 infection MESHD (PIMS-TS) is a new disease MESHD with overlapping features of Kawasaki disease MESHD (KD) and toxic shock MESHD shock HP syndrome MESHD. Unbiased single cell RNA sequencing analysis of peripheral blood SERO mononuclear cells from PIMS-TS and KD patients shows monocytes are the main source of pro-inflammatory cytokines and large changes in the frequency of classical, intermediate and non-classical monocytes occur in both diseases MESHD.

    Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view

    Authors: Lana Yeganova; Rezarta Islamaj; Qingyu Chen; Robert Leaman; Alexis Allot; Chin-Hsuan Wei; Donald C. Comeau; Won Kim; Yifan Peng; W. John Wilbur; Zhiyong Lu

    id:2008.03397v1 Date: 2020-08-07 Source: arXiv

    Timely access to accurate scientific literature in the battle with the ongoing COVID-19 pandemic is critical. This unprecedented public health risk has motivated research towards understanding the disease MESHD in general, identifying drugs to treat the disease MESHD, developing potential vaccines, etc. This has given rise to a rapidly growing body of literature that doubles in number of publications every 20 days as of May 2020. Providing medical professionals with means to quickly analyze the literature and discover growing areas of knowledge is necessary for addressing their question and information needs. In this study we analyze the LitCovid collection, 13,369 COVID-19 related articles found in PubMed as of May 15th, 2020 with the purpose of examining the landscape of literature and presenting it in a format that facilitates information navigation and understanding. We do that by applying state-of-the-art named entity recognition, classification, clustering and other NLP techniques. By applying NER tools, we capture relevant bioentities (such as diseases MESHD, internal body organs, etc.) and assess the strength of their relationship with COVID-19 by the extent they are discussed in the corpus. We also collect a variety of symptoms and co-morbidities discussed in reference to COVID-19. Our clustering algorithm identifies topics represented by groups of related terms, and computes clusters corresponding to documents associated with the topic terms. Among the topics we observe several that persist through the duration of multiple weeks and have numerous associated documents, as well several that appear as emerging topics with fewer documents. All the tools and data are publicly available, and this framework can be applied to any literature collection. Taken together, these analyses produce a comprehensive, synthesized view of COVID-19 research to facilitate knowledge discovery from literature.

    Prediction of Covid-19 Infections MESHD Through December 2020 for 10 US States Using a Two Parameter Transmission TRANS Model Incorporating Outdoor Temperature and School Re-Opening Effects

    Authors: Ty A Newell

    doi:10.1101/2020.08.06.20169896 Date: 2020-08-07 Source: medRxiv

    Covid-19 infection MESHD case predictions (total cases) are made for August through December 2020 for 10 US States (NY, WA, GA, IL, MN, FL, OH, MI, CA, and NC). A two-parameter model based on social distance index (SDI) and disease MESHD transmission TRANS efficiency (G) parameters is used to characterize SARS-CoV-2 disease MESHD disease spread TRANS spread. Current lack of coherent and coordinated US policy causes the US to follow a linear infection MESHD growth path with a limit cycle behavior that modulates the US between accelerating and decaying infection MESHD growth on either side of a linear growth path boundary. Four prediction cases are presented: 1) No school re-openings; fall HP season temperature effect 2) No school re-openings; no fall HP season temperature effect 3) School re-openings; fall HP season temperature effect 4) School re-openings; no fall HP season temperature effect Fall HP outdoor temperatures, in contrast to the 1918 pandemic, are predicted to be beneficial for dampening SARS-CoV-2 transmission TRANS in States as they pass through swing season temperature range of 70F to 50F. Physical re-opening of schools in September are predicted to accelerate infections MESHD. States with low current infectious case numbers (eg, NY) are predicted to be minimally impacted while States with high current infectious case numbers (eg, CA and FL) will be significantly impacted by school re-openings. Updated infection MESHD predictions will be posted monthly (Sept, Oct, Nov, Dec) with adjustments based on actual trends in SDI and G. Assessments related to outdoor temperature impact, school re-openings, and other public gathering re-openings will be discussed in updated reports.

    Characteristics and outcomes of patients admitted to Swedish intensive care units for COVID-19 during the first 60 days of the 2020 pandemic: a registry-based, multicenter, observational study.

    Authors: Michelle S Chew; Patrik Blixt; Rasmus Ahman; Lars Engerstrom; Henrik Andersson; Ritva Kiiski Berggren; Anders Tegnell; Sarah McIntyre

    doi:10.1101/2020.08.06.20169599 Date: 2020-08-07 Source: medRxiv

    Background The mortality of patients admitted to the intensive care unit (ICU) with COVID-19 is unclear due to variable censoring and substantial proportions of undischarged patients at follow-up. Nationwide data have not been previously reported. We studied the outcomes of Swedish patients at 30 days after ICU admission. Methods We conducted a registry-based cohort study of all adult TRANS patients admitted to Swedish ICUs from 6 March-6 May, 2020 with laboratory confirmed COVID-19 disease MESHD and complete 30-day follow-up. Data including baseline characteristics, comorbidities, intensive care treatments, organ failures and outcomes were collected. The primary outcome was 30-day all-cause mortality. A multivariable model was used to determine the independent association between potential predictor variables and the primary outcome. Results A total of 1563 patients were identified. Median ICU length of stay was 12 (5-21) days, and fifteen patients remained in ICU at the time of follow-up. Median age TRANS was 61 (52-69), median Simplified Acute Physiology Score III (SAPS III) was 53 (46-59), and 66.8% had at least one comorbidity. Median PaO2/FiO2 on admission was 97.5 (75.0-140.6) mmHg, 74.7% suffered from moderate to severe acute respiratory distress HP syndrome MESHD (ARDS). The 30-day all-cause mortality was 26.7%. The majority of deaths MESHD occurred during ICU admission. Age TRANS, male TRANS sex (adjusted odds ratio [aOR] 1.5 [1.1-2.1]), SAPS III score (aOR 1.3 [1.2-1.4]), severe ARDS (aOR 3.1 [2.0-4.8], specific COVID-19 pharmacotherapy (aOR 1.4 [1.0-1.9]), and CRRT (aOR 2.2 [1.6-3.0]), were associated with increased mortality. With the exception of chronic lung disease HP lung disease MESHD, the presence of comorbidities was not independently associated with mortality. Conclusions Thirty-day mortality rate in COVID-19 patients admitted to Swedish intensive care units is generally lower than previously reported. Mortality appears to be driven by age TRANS, baseline disease MESHD severity, the degree of organ failure and ICU treatment, rather than preexisting comorbidities.

    Public perceptions and preventive behaviours during the early phase of the COVID-19 pandemic: a comparative study between Hong Kong and the United Kingdom

    Authors: Leigh Bowman; Kin On Kwok; Rozlyn Redd; Yuanyuan Yi; Helen Ward; Wan In Wei; Christina J Atchison; Samuel Yeung Shan Wong

    doi:10.1101/2020.08.06.20169409 Date: 2020-08-07 Source: medRxiv

    Background: In the absence of treatments and vaccines, the mitigation of COVID-19 relies on population engagement in non-pharmaceutical interventions, which is driven by their risk perception, anxiety HP level and knowledge. There may also be regional discrepancies in these drivers due to different historical exposure to disease MESHD outbreaks, government responses and cultures. As such, this study compared psycho-behavioral responses in two regions during the early phase of the pandemic. Methods: Comparable cross-sectional surveys were administered among adults TRANS in Hong Kong (HK) and the United Kingdom (UK) during the early phase of each respective epidemic. Explanatory variables included demographics, risk perception and knowledge of COVID-19, anxiety HP level and preventive behaviors. Responses were weighted according to census data. Logistic regression models, including interaction terms to quantify regional differences, were used to assess the association between explanatory variables and the adoption of social-distancing measures. Results: Data of 3431 complete responses (HK:1663; UK:1768) were analysed. Perceived severity differed by region (HK: 97.5%; UK: 20.7%). A large proportion of respondents were abnormally/borderline anxious (HK:64.8%; UK:45.9%) and regarded direct contact with infected individuals as the transmission TRANS route of COVID-19 (HK:94.0-98.5%; UK:69.2-93.5%), with HK identifying additional routes. HK reported high levels of adoption of social-distancing (HK:32.4-93.7%; UK:17.6-59.0%) and mask-wearing (HK:98.8%; UK:3.1%). The impact of perceived severity and perceived ease of transmission TRANS on the adoption of social-distancing varied by region. In HK, they had no impact, whereas in the UK, those who perceived severity as 'high' were more likely to adopt social-distancing (aOR:1.58-3.01), and those who perceived transmission TRANS as 'easy' were prone to both general social-distancing (aOR:2.00, 95% CI:1.57, 2.55) and contact avoidance (aOR:1.80, 95% CI: 1.41, 2.30). The impact of anxiety HP on adopting social-distancing did not vary by region. Discussion: These results suggest that health officials should ascertain and consider baseline levels of risk perception and knowledge in the populations, as well as prior sensitisation to infectious disease MESHD outbreaks, during the development of mitigation strategies. Risk communication should be done through suitable media channels - and trust should be maintained - while early intervention remains the cornerstone of effective outbreak response.

The ZB MED preprint Viewer preVIEW includes all COVID-19 related preprints from medRxiv and bioRxiv, from ChemRxiv, from ResearchSquare, from arXiv and from Preprints.org and is updated on a daily basis (7am CET/CEST).

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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