Corpus overview


Overview

MeSH Disease

Human Phenotype

Pneumonia (127)

Fever (120)

Cough (95)

Fatigue (30)

Hypertension (21)


Transmission

Seroprevalence
    displaying 61 - 70 records in total 1304
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    Integration Of Statistical Techniques For Improving Contact Tracing TRANS Efforts To Stop The Spread Of Covid-19 Cases In Nigeria

    Authors: Olayiwola. O. M,; Adekeye. K. S; Wale-Orojo. O.A; Ajayi. A. O; Ogunsola. I. A; Ekong. A. H

    doi:10.21203/rs.3.rs-71676/v1 Date: 2020-09-03 Source: ResearchSquare

    COVID-19 is battling with many countries in the world, including Nigeria, and it has affected various sectors. Contact tracing TRANS technique without Statisticians in the team as recommended by WHO is being used in Nigeria to curb the spread of COVID-19 virus, yet confirmed cases TRANS is on the increase daily. This study proposed the integration of Statistical techniques for improving contact tracing TRANS efforts to stop the spread of the virus. A fitted model using the R package, and Adaptive Cluster Sampling mechanism was embedded. Parameters of the model were estimated using Markov Chain Monte-Carlo (MCMC) Algorithm with Winbugs software. Trace TRANS plot and correlogram were used for MCMC diagnostics to examine the goodness of fit of the model. The fitted model was used to obtain a predictive distribution for predicting the estimated number of COVID-19 carriers TRANS in Nigeria. The model has a good fit since It converged to the representation of the target posterior within the 95% highest posterior density ( HPD MESHD) interval, its chains mixed well, and autocorrelation is quite similar at each lag. Estimated number of COVID-19 carriers TRANS were well estimated and higher in each state than confirmed cases TRANS. The present contact tracing TRANS process is inefficient to track COVID-19 carriers TRANS, hence integrated contact tracing TRANS technique with the involvement of Statisticians was recommended. .

    Performance SERO of serum SERO apolipoprotein-A1 as a sentinel of Covid-19

    Authors: Thierry Poynard; Olivier Deckmyn; Marika Rudler; Valentina Peta; Yen Ngo; Mathieu Vautier; Sepideh Akhavan; Vincent Calvez; Clemence Franc; Jean Marie Castille; Fabienne Drane; Mehdi Sakka; Dominique Bonnefont-Rousselot; Jean Marc Lacorte; David Saadoun; Yves Allenbach; Olivier Benveniste; Frederique Gandjbakhch; Julien Mayaux; Olivier Lucidarme; Bruno Fautrel; Vlad Ratziu; Chantal Housset; Dominique Thabut; Patrice Cacoub; Fredrik Nyberg; Jose D Posada; Christian G Reich; Lisa M Schilling; Karishma Shah; Nigham H Shah; Vignesh Subbian; Lin Zhang; Hong Zhu; Patrick Ryan; Daniel Prieto-Alhambra; Kristin Kostka; Talita Duarte-Salles

    doi:10.1101/2020.09.01.20186213 Date: 2020-09-03 Source: medRxiv

    Background Since 1920, a decrease in serum SERO cholesterol has been identified as a marker of severe pneumonia HP pneumonia MESHD. We have assessed the performance SERO of serum SERO apolipoprotein-A1, the main transporter of HDL-cholesterol, to identify the early spread of coronavirus disease MESHD 2019 (Covid-19) in the general population and its diagnostic performance SERO for the Covid-19. Methods We compared the daily mean serum SERO apolipoprotein-A1 during the first 34 weeks of 2020 in a population that is routinely followed for a risk of liver fibrosis MESHD risk in the USA (212,297 sera) and in France (20,652 sera) in relation to a local increase in confirmed cases TRANS, and in comparison to the same period in 2019 (266,976 and 28,452 sera, respectively). We prospectively assessed the sensitivity SERO of this marker in an observational study of 136 consecutive hospitalized cases and retrospectively evaluated its specificity in 7,481 controls representing the general population. Results The mean serum SERO apolipoprotein-A1 levels in the survey populations began decreasing in January 2020, compared to the same period in 2019. This decrease was highly correlated with the daily increase in confirmed Covid-19 cases in the following 34 weeks, both in France and USA, including the June and mid-July recovery periods in France. Apolipoprotein-A1 at the 1.25 g/L cutoff had a sensitivity SERO of 90.6% (95%CI84.2-95.1) and a specificity of 96.1% (95.7-96.6%) for the diagnosis of Covid-19. The area under the characteristics curve was 0.978 (0.957-0.988), and outperformed haptoglobin and liver function tests. The adjusted risk ratio of apolipoprotein-A1 for survival without transfer to intensive care unit was 5.61 (95%CI 1.02-31.0;P=0.04). Conclusion Apolipoprotein-A1 could be a sentinel of the pandemic in existing routine surveillance of the general population. NCT01927133, CER-2020-14.

    Pre-infection global psychosocial status on SARS CoV-2 disease outcome

    Authors: Nirmalya K. Sinha; Smarajit Maiti

    doi:10.21203/rs.3.rs-71740/v1 Date: 2020-09-03 Source: ResearchSquare

    The present pandemic situation due to Covid-19 disease has raised a severe threat on human health both physically and mentally. Globally, 794,435 persons were died from a total 22,767,009. We assumed that existed psychosocial-conditions in the pre-infection-period have a great role in disease pathogenesis-severity. This might have geographically/regionally influenced different parameters of the disease. The present aim was to delineate the impact of pre- infection MESHD or post-infection psychosocial impact on Covid-19 outcome. Existing global mental-status (depression- anxiety HP, economic-status, quality-of-life/QOL, Global-Health-Security/GHS, tobacco-smoking and suicide-mortality were verified with their possible correlation with the total-infection/death-rate/case-fatality-rate(CFR) analyzed in >170 countries. The data was collected from World-Health-Organization/World-Bank/United-Nations, and the Johns-Hopkins-Center for Health-Security. The SPSS/version-16.0 was utilized for student’s t test, multivariate-ANOVA, Correlation and Prediction for numerical-outcomes, Linear-regression. Pearson’s-chi-square-test was performed in the current study. Psychological wellbeing like happiness-GSH-QOL, mental-impairments like depression- anxiety HP have been variably-positively correlated with total- confirmed-infection TRANS-cases, total-death and CFR (p<0.05-p<0.001). Happiness has been positively associated with QOL/GSH/ anxiety HP-depressive-disorder. Higher CFR has been noticed more in the developed countries. Virus-host interactions may have some variability depending on the race-ethnicity-and individual’s-body-compositions. Because, this study has been done >170 countries, the present outcome is important. The positive correlation between happiness-QOL index with the apparent adverse outcome of Covid-19 and the correlation between happiness/QOL with anxiety HP-depression disorder are found to be parallel. This suggests more characterizations of these psychosocial-indices are needed. The open-minded nations with non-conserved nature which eventuates to more transportation, tourist trafficking and more social association/collaborations, that might have affected more. Further studies are necessary in this regard.   

    The evolution of Covid-19 in Italy during the Summer 2020: analysis and interpretation of an unpredicted rest period

    Authors: Giuseppe De Natale; Lorenzo De Natale; Claudia Troise; Renato Somma; Vito Marchitelli; Antonio Coviello; Karen Holmberg; Xiaojian Liu; Wei Gao; Renli Zhang; Qiru Su; Andrew Azman; Justin Lessler; Xuan Zou; Wenfeng Gong; Brenda Clemente; Jerel Vega; Scott Roberts; Jose A. Gonzalez; Marciano Sablad; Rodrigo Yelin; Wendy Taylor; Kiyoshi Tachikawa; Suezanne Parker; Priya Karmali; Jared Davis; Sean M Sullivan; Steve G. Hughes; Pad Chivukula; Eng Eong Ooi

    doi:10.1101/2020.08.29.20184127 Date: 2020-09-02 Source: medRxiv

    The coronavirus (COVID-19) pandemic was particularly invasive in Italy during the period of March to the end of April 2020, then displayed a significant decrease both in the number of infections MESHD and in the seriousness of illness throughout the summer of 2020. In this discussion, we measure the seriousness of the disease by the ratio between Intensive Care Units (ICU) spaces occupied by COVID-19 patients and the number of still Active Cases (AC) each month from April to August 2020. We also use the ratio between the number of Deaths (D) and the number of Active Cases. What clearly emerges, from rigorous statistical analysis, is a progressive decrease of both the ratios, indicating progressive mitigation of the disease MESHD. This is particularly evident when comparing March-April with July-August; during the summer period the two ratios have become roughly 18 times lower. We test such sharp decreases against possible bias in counting active cases, and we confirm TRANS their statistical significance. We then interpret such evidence in terms of the well-known seasonality of the human immune system and the virus-inactivating effect of stronger UV rays in the summer. Our results can also shed light on related effects observed worldwide.

    Governor partisanship explains the adoption of statewide mandates to wear face coverings

    Authors: Christopher Adolph; Kenya Amano; Bree Bang-Jensen; Nancy Fullman; Beatrice Magistro; Grace Reinke; John Wilkerson; Shivkant Singh; Maria Teresa Nuevo Guisado; Isabel Torio Gomez; Ana Penalver Andrada; Nuria Martinez Cao; Paula Gonzalez Figaredo; Carlos Robles Garcia; Lidia Anastasia Alvarado Machon; Angeles Lafont Alcalde; Jose Cesareo Naveiro Rilo; Nick H.T. ten Hacken; Sile Hu; Yike Guo; Xiaoyu Zhang; Kai Sun; Pieter S. Hiemstra; Bruce A. Ponder; Mika J Makela; Kristiina Malmstrom; Robert C. Rintoul; Paul A. Reyfman; Fabian J. Theis; Corry-A Brandsma; Ian Adcock; Wim Timens; Cheng J. Xu; Maarten van den Berge; Roland F. Schwarz; Gerard H. Koppelman; Martijn C. Nawijn; Alen Faiz

    doi:10.1101/2020.08.31.20185371 Date: 2020-09-02 Source: medRxiv

    Public mask use has emerged as a key tool in response to COVID-19. We develop and document a classification of statewide mask mandates that reveals variation in their scope and timing. Some U.S. states quickly mandated the wearing of face coverings in most public spaces, whereas others issued narrow mandates or no mandate at all. We consider how differences in COVID-19 epidemiological indicators, state capacity, and partisan politics affect when states adopted broad mask mandates. The most important predictor is whether a state is led by a Republican governor. These states were much slower to adopt mandates, if they did so at all. COVID-19 indicators such as confirmed cases TRANS or deaths per million are much less important predictors of statewide mask mandates. This finding highlights a key challenge to public efforts to increase mask-wearing, widely believed to be one of the most effective tools for preventing the spread of SARS-CoV-2 while restoring economic activity.

    Participatory syndromic MESHD surveillance as a tool for tracking COVID-19 in Bangladesh

    Authors: Ayesha S Mahmud; Shayan Chowdhury; Kawsar Hossain Sojib; Anir Chowdhury; Md. Tanvir Quader; Sangita Paul; Md. Sheikh Saidy; Ramiz Uddin; Kenth Engo-Monsen; Caroline O Buckee; Sara Terrim; Cesar Lopes; Carlos Eduardo Passos Neto; Matheus Dalben; Julia De Souza; Jose Pedro Baima; Tomas Da Silva; Iago Perissinotti; Maria da Graca Martin; Marcia Goncalves; Ida Fortini; Jerusa Smid; Tarso Adoni; Leandro Lucatto; Ricardo Nitrini; Helio Gomes; Luiz Henrique Castro

    doi:10.1101/2020.08.28.20183905 Date: 2020-09-01 Source: medRxiv

    Limitations in laboratory diagnostic capacity and reporting delays have hampered efforts to mitigate and control the ongoing coronavirus disease MESHD 2019 (COVID-19) pandemic globally. To augment traditional lab and hospital-based surveillance, Bangladesh established a participatory surveillance system for the public to self-report symptoms consistent with COVID-19 through multiple channels. Here, we report on the use of this system, which received over 3 million responses within two months, for tracking the COVID-19 outbreak in Bangladesh. Although we observe considerable noise in the data and initial volatility in the use of the different reporting mechanisms, the self-reported syndromic data exhibits a strong association with lab-confirmed cases TRANS at a local scale. Moreover, the syndromic data also suggests an earlier spread of the outbreak across Bangladesh than is evident from the confirmed case TRANS counts, consistent with predicted spread of the outbreak based on population mobility data. Our results highlight the usefulness of participatory syndromic MESHD surveillance for mapping disease burden generally, and particularly during the initial phases of an emerging outbreak.

    COVID-19 mortality risk factors in older people in a long-term care center

    Authors: Eva Heras; Pablo Garibaldi; Maite Boix; Oliver Valero; Jorge Castillo; Yurisan Curbelo; Elso Gonzalez; Obilagilio Mendoza; Maria Anglada; Joan Carles Miralles; Petra Lllull; Ricard Llovera; Josep M. Pique

    doi:10.21203/rs.3.rs-70219/v1 Date: 2020-09-01 Source: ResearchSquare

    Objectives: Despite high rates of COVID-19 infection MESHD and increased related mortality have been reported among older adults TRANS admitted in long-term care facilities, a limited amount of information is available about the natural course of this pandemic and prognostic factors in this population. In the current study, we aimed to investigate the epidemiologic, demographics, clinical, or therapeutic factors that may predict the prognosis in a cohort of COVID-19 infected elderly TRANS in a nursing home.Methods: We conducted a retrospective analysis of all COVID-19 confirmed institutionalized elderly TRANS in a nursing home transformed into a reference intermediate healthcare facility from March 15 to June 5, 2020. Epidemiological, demographic, and frailty status before infection MESHD, and clinical, laboratory, treatment, and outcome data during infection MESHD were collected. We used bivariate analysis and multivariate logistic regression to identify risk factors for mortality.Results: The analysis comprised all 100 COVID-19 confirmed cases TRANS during the study period. The median age TRANS was 85 years; 62% were female TRANS. The case fatality rate was 20%. In the bivariate analysis, male TRANS gender TRANS, fever HP fever MESHD, respiratory symptoms MESHD, severe cognitive decline MESHD, a low Barthel index, and lymphocytopenia MESHD were significantly associated with mortality. Multivariate logistic regression analysis identified male TRANS gender TRANS, low Barthel index, no pharmacological treatment, and lymphocytopenia MESHD as independent risk factors associated with mortality.Conclusions and Implications: Male TRANS gender TRANS, low Barthel index, no pharmacological treatment and lymphocytopenia MESHD are independent risk factors for COVID-19 mortality in institutionalized elderly TRANS patients in long-term care nursing homes. Treatment with hydroxychloroquine and azithromycin was associated with lower mortality in these patients.

    Viral and Bacterial Pneumonia HP Detection using Artificial Intelligence in the Era of COVID-19

    Authors: Mehmet Ozsoz; Abdullahi Umar Ibrahim; Sertan Serte; Fadi Al-Turjman; Polycarp Shizawaliyi Yakoi

    doi:10.21203/rs.3.rs-70158/v1 Date: 2020-09-01 Source: ResearchSquare

    Background: The outbreak of COVID-19 on the eve of January 2020 has led to global crisis around the world. The disease was declared pandemic by World Health Organization (WHO) in mid-March. Currently the outbreak has affected more than 150 countries with more than 20 million confirmed cases TRANS and more than 700,000 death tolls. The standard method for detection of COVID-19 is the Reverse-Transcription Polymerase Chain Reaction (RT-PCR) which is less sensitive, expensive and required specialized health expert. As the number of cases continue to grow, there is high need for developing rapid screening method that is accurate, fast and cheap. Methods: We proposed the use of Deep Learning approach based on Pretrained AlexNet Model for classification of COVID-19, non-COVID-19 viral pneumonia MESHD pneumonia HP, bacterial pneumonia MESHD pneumonia HP and normal Chest X-rays Images (CXR) scans obtained from different public databases. Result and Conclusion: For non-COVID-19 viral pneumonia HP pneumonia MESHD and healthy datasets, the model achieved 94.43% accuracy, 98.19% Sensitivity SERO and 95.78% Specificity. For bacterial pneumonia MESHD pneumonia HP and healthy datasets, the model achieved 91.43% accuracy, 91.94% sensitivity SERO and 100% Specificity. For COVID-19 pneumonia HP pneumonia MESHD and healthy CXR images, the model achieved 99.16% accuracy, 97.44% sensitivity SERO and 100% Specificity. For classification of COVID-19 pneumonia HP pneumonia MESHD and non-COVID-19 viral pneumonia MESHD pneumonia HP, the model achieved 99.62% accuracy, 90.63% sensitivity SERO and 99.89% Specificity. For multiclass datasets the model achieved 94.00% accuracy, 91.30% sensitivity SERO and 84.78% specificity for COVID-19, bacterial pneumonia MESHD pneumonia HP and healthy. For 4 classes (COVID-19, non-COVID-19 viral pneumonia HP, bacterial pneumonia HP and healthy, the model achieved accuracy of 93.42%, sensitivity SERO of 89.18% and specificity of 98.92%.

    Survival and 30-days hospital outcome in hospitalized COVID-19 patients in Upper Egypt: Multi-center study

    Authors: Aliae Mohamed-Hussein; Islam Galal; Mohammed Mustafa Abdel Rasik Mohamed; Mohamed Eltaher AA Ibrahim; Shazly Baghdady Ahmed; Richard Njouom; Rajesh Jain; Sachee Tainwala Agrawal; Sandeep Juneja; Sofia Imad; Ullas Kolthur-Seetharam; Hongjie Yu; Lars I Eriksson; Anna Norrby-Teglund; Hans-Gustaf Ljunggren; Niklas K Bjorkstrom; Soo Aleman; Marcus Buggert; Jonas Klingstrom; Kristoffer Stralin; Johan K. Sandberg

    doi:10.1101/2020.08.26.20180992 Date: 2020-09-01 Source: medRxiv

    Background: Determining the clinical features and outcomes of patients diagnosed with COVID-19 is fundamental to improve the understanding and adequate management of the novel illness. This study aims to identify the basic demography, underlying comorbidities and the mortality related factors of hospitalized patients with COVID-19 in Upper Egypt. Patients and methods: 1064 cases consecutively admitted to isolation hospitals in Upper Egypt. All cases had confirmed TRANS COVID-19 infection MESHD. The electronic records of the patients were retrospectively revised and the demographic data, clinical manifestations, qSOFA score on admission and 30 days-outcome (ICU admission, death MESHD, recovery, referral or still in hospital) were analyzed. Overall cumulative survival in all patients and those > or < 50 years were calculated. Results 49.2% of the study population were males TRANS while 50.8% females TRANS with mean age TRANS 49.4 years-old. On admission, 83.9% were stable with qSOFA score < 1, 3% required non- invasive mechanical ventilation, and 2.1% required O2 therapy. Within 30 days, 203 cases (19.1%) required admission to ICU. Death was recorded in 11.7% of cases, 28.7% recovered, 40.5% referred and 19.2% were still under treatment. Determinants of ICU admission and survival in the current study were age TRANS > 50, respiratory rate > 24/minute, SaO2 < 89%, qSOFA >1 and need for O2 therapy or NIV. The cumulative survival was 75.3% with the mean survival was 28.1, and 95.2% overall survival was recorded in those aged TRANS < 50 years. Conclusions Age TRANS older than 50 years old, those with pre-existing DM MESHD, initial qSOFA score, requirement for O2 therapy and NIV from the first day of hospital admission may be associated with unfavorable 30 days- in hospital outcome of COVID- 19.

    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.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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