Corpus overview


Overview

MeSH Disease

Human Phenotype

Fever (39)

Cough (31)

Pneumonia (29)

Fatigue (12)

Hypertension (11)


Transmission

Seroprevalence
    displaying 11 - 20 records in total 130
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    The Epidemiological and Spatio-temporal Characteristics of 2019 Novel Coronavirus Diseases MESHD (COVID-19) in Libya

    Authors: Mohamed A Daw; Abdallah H El-Bouzedi; Mohamed O Ahmed

    doi:10.21203/rs.3.rs-57985/v1 Date: 2020-08-12 Source: ResearchSquare

    Background: COVID-19 is a global pandemic that affected all aspects of life. Studies on understanding the geographical and epidemiological characteristics become particularly important in controlling the spread of the pandemic. Such studies are lacking in Northern African countries particularly in Libya, which considered being, the second largest country in Africa with the longest coast facing Europe. The objectives of this study are to; determine the epidemiological parameters and spatiotemporal patterns of COVID-19 in this large country and outline the needed strategies to contain the spread and the consequences of the pandemic. Methods:  This comprehensive study included all the confirmed cases TRANS of COVID-19 since its emergence in Libya, from early April 2020 until August 31th. The epidemiological characteristics of COVID-19 were analyzed and the spatial dynamic trends were explored.  A region -based counts of weekly reported cases were used to characterize and quantify the spatial dynamics of COVID-19. Results: A total  3695  of confirmed cases TRANS of OVID-19 were collected, 2515(68.1%) were males and 1180(31.9%) female TRANS with a male TRANS-to- female TRANS(M:F) ratio 2.1:1. Aged TRANS between 2 -78 years old. Older age TRANS patients infected with COVID-19 are at higher severity and mortality. A broad geographic variability and Spatiotemporal spread variation of the COVID-19 pandemic in Libya was observed. Indicating a higher significant increase of COVID-19 from the middle of July particularly in the West and Southern regions although it was consistently observed in Meddle and Southern regions. Conclusion: Evaluating the epidemiological data and the spatiotemporal dynamic trends of COVID-19 at early stages are particularly  important in understanding the pandemic spread.  These parameters are essential in designing effective prevention and control programs aimed at reducing the impact of COVID- 19 pandemic particularly in countries with limited resources. 

    Clinical course, biomarkers, management and outcomes of patients hospitalised due to COVID-19 in Colombia

    Authors: Nancy Yomayusa; Kelly Rocío Chacón Acevedo; Adriana Janeth Avila Reina; Karen Lorena Rincón; Carlos Hernando Toloza; Olga Gomez Gomez; Eduardo Low Padilla; Juan Felipe Combariza Vallejo; Johana Vargas Rodriguez; Emilio Herrera Molina; Sandra Yadira Moreno Marin; Carlos Arturo Álvarez Moreno

    doi:10.21203/rs.3.rs-57978/v1 Date: 2020-08-12 Source: ResearchSquare

    Background: Coronavirus disease (COVID-19) represents an unprecedented challenge for both people and health systems. Latin America is the current epicentre of the pandemic; however, there is little published clinical information on the clinical characteristics and outcomes.Objective: To analyse the clinic characteristics, risk factors and evolution of the first cohort of hospitalised patients with confirmed infection TRANS by COVID-19 in 5 Colombian institutions.Methods: In the present retrospective observational study, information was acquired from consecutive hospitalized patients with a diagnosis of COVID-19 confirmed by real-time reverse transcriptase polymerase chain reaction (RT-PCR) from March 01 to May 30, 2020 in Colombia.Results: A total of 44 patients were included. The median age TRANS was 62 years, and 65.9% of the patients were male TRANS. A total of 69.8% of the patients were overweight HP or obese MESHD, and 13.6% of the patients had high blood SERO pressure and diabetes MESHD. The presence of systemic symptoms and cough HP cough MESHD were the most common. Ground-glass opacity was frequent finding upon chest imaging. The 30-day mortality rate was 47.7% with a median of 11 days. The composite outcome (critical care requirement, mechanical ventilation and death MESHD) occurred in 36.4% of the patients. The biomarkers associated with mortality risk included troponin higher than 14 ng/L (RR: 5.25; 95% CI 1.37-20.1, p = 0.004) and D-dimer higher than 1000 ng/ml (RR: 3.0; 95% CI 1.4-6.3, p = 0.008). Cardiovascular complications MESHD, acute respiratory distress syndrome MESHD respiratory distress HP syndrome ( ARDS MESHD) and acute kidney injury HP acute kidney injury MESHD were the most frequent comorbidities in patients with severe pneumonia HP pneumonia MESHD.Conclusion: The clinical course of SARS-CoV-2 infection MESHD diagnosis confirmed by RT-PCR in Colombian patients admitted to a high-complexity hospital was similar to that reported in the literature; however, the population was characterised by a more advanced stage of the infection MESHD

    Epidemiological Characteristics of COVID-19 under Government-mandated Control Measures in Inner Mongolia, China

    Authors: Sha Du; Haiwen Lu; Yuenan Su; Shufeng Bi; Jing Wu; Wenrui Wang; Xinhui Yu; Min Yang; Huiqiu Zheng; Xuemei Wang

    doi:10.21203/rs.3.rs-57472/v1 Date: 2020-08-11 Source: ResearchSquare

    BackgroundThere were 75 local confirmed cases TRANS during the COVID-19 epidemic followed by an outbreak of Wuhan in Inner Mongolia. The aims of our study were to provide reference to control measures of COVID-19 and scientific information for supporting government decision-making for serious infectious disease MESHD, in remote regions with relatively insufficient medical resources like Inner Mongolia.MethodsThe data published by Internet were summarized in order to describe the epidemiological and clinical characteristics of patients with COVID-19. The basic reproductive number (R TRANS 0 ), incubation period TRANS, time from illness onset to confirmed and the duration of hospitalization were analyzed. The composition of imported and local secondary cases TRANS and the mild/common and severe/critical cases among different ages TRANS, genders TRANS and major clinical symptoms were compared.ResultsIn 2020, from January 23 to February 19 (less than 1 month), 75 local cases of COVID-19 were confirmed in Inner Mongolia. Among them, the median age TRANS was 45 years old (34.0, 57.0), and 61.1% were male TRANS and 33 were imported (44.0%). 29 (38.7%) were detected through close contact TRANS tracking, more than 80.0% were mild/common cases. The fatality rate was 1.3% and the basic reproductive number (R TRANS 0 ) was estimated to be 2.3. The median incubation period TRANS was 8.5 days (6.0~12.0) and the maximum incubation period TRANS reached 28 days. There was a statistically difference in the incubation period TRANS between imported and local secondary cases TRANS ( P <0.001). The duration of hospitalization of patients with incubation period TRANS <8.5 days was higher than that of patients with incubation period TRANS ≥8.5 days (30.0 vs. 24.0 days).ConclusionIn Inner Mongolia, an early and mandatory control strategy by government associated with the rapidly reduced incidence of COVID-19, by which the epidemic growth was controlled completely. And the fatality rate of COVID-19 was relatively low.

    Comparative Clinical Outcomes and Mortality in Prisoner and Non-Prisoner Populations Hospitalized with COVID-19: A Cohort from Michigan

    Authors: Ahmed M Altibi; Pallavi Bhargava; Hassan Liaqat; Alexander A. Slota; Radhika Sheth; Lama Al Jebbawi; Matthew E. George; Allison LeDuc; Enas Abdallah; Luke R. Russell; Saniya Jain; Narine Shirvanian; Ahmad Masri; Vivek Kak; Anna S Levin; Pia S Pannaraj; Thushan I de Silva; Paola Minoprio; Bruno Bezerril Andrade; Fabiano P da Silva; Helder I Nakaya; Marcos C Borges; Benedito AL Fonseca; Valdes R Bollela; Cristina M Del-Ben; Fernando Q Cunha Sr.; Dario S Zamboni; Rodrigo C Santana; Fernando C Vilar; Paulo Louzada-Junior; Rene D R Oliveira

    doi:10.1101/2020.08.08.20170787 Date: 2020-08-11 Source: medRxiv

    Background: Prisons in the United States have become a hotbed for spreading Covid-19 among incarcerated individuals. Covid-19 cases among prisoners are on the rise, with more than 46,000 confirmed cases TRANS to date. However, there is paucity of data addressing clinical outcomes and mortality in prisoners hospitalized with Covid-19. Methods: An observational study of all patients hospitalized with Covid-19 between March 10 and May 10, 2020 at two Henry Ford Health System hospitals in Michigan. Clinical outcomes were compared amongst hospitalized prisoners and non-prisoner patients. The primary outcomes were intubation rates, in-hospital mortality, and 30-day mortality. Multivariable logistic regression and Cox-regression models were used to investigate primary outcomes. Results: Of the 706 hospitalized Covid-19 patients (mean age TRANS 66.7 +/- 16.1 years, 57% males TRANS, and 44% black), 108 were prisoners and 598 were non-prisoners. Compared to non-prisoners, prisoners were more likely to present with fever HP fever MESHD, tachypnea HP tachypnea MESHD, hypoxemia HP hypoxemia MESHD, and markedly elevated inflammatory markers. Prisoners were more commonly admitted to the intensive care unit (ICU) (26.9% vs. 18.7%), required vasopressors (24.1% vs. 9.9%), and intubated (25.0% vs. 15.2%). Prisoners had higher unadjusted inpatient mortality (29.6% vs. 20.1%) and 30-day mortality (34.3% vs. 24.6%). In the adjusted models, prisoner status was associated with higher in-hospital death (odds ratio, 1.95; 95% confidence interval (CI), 1.07 to 3.57) and 30-day mortality (hazard ratio, 1.92; 95% CI, 1.24 to 2.98). Conclusions: In this cohort of hospitalized Covid-19 patients, prisoner status was associated with more severe clinical presentation, higher rates of ICU admissions, vasopressors requirement, intubation, in-hospital mortality, and 30-day mortality.

    An Observational Study of COVID-19 from A Large Healthcare System in Northern New Jersey: Diagnosis, Clinical Characteristics, and Outcomes

    Authors: Yanan Zhao; Marcus H Cunningham; Jose R Mediavilla; Steven Park; Sean Fitzgerald; Hee Sang Ahn; Xiangyang Li; Caixin Zhan; Tao Hong; Gary Munk; Kar Fai Chow; David S. Perlin; Krishna P. Reddy; Mark P. Siedner; Guy Harling; Milton C. Weinstein; Andrea Ciaranello; Pooyan Kazemian; Bruno Bezerril Andrade; Fabiano P da Silva; Helder I Nakaya; Marcos C Borges; Benedito AL Fonseca; Valdes R Bollela; Cristina M Del-Ben; Fernando Q Cunha Sr.; Dario S Zamboni; Rodrigo C Santana; Fernando C Vilar; Paulo Louzada-Junior; Rene D R Oliveira

    doi:10.1101/2020.08.07.20170357 Date: 2020-08-11 Source: medRxiv

    Background New Jersey was an early epicenter for the COVID-19 pandemic in the United States, yet information on hospitalized COVID-19 patients from this area is scarce. This study aimed to provide data on demographics and clinical features of a hospitalized patient population who were confirmed with infection TRANS infection MESHD by our in-house (CDI) real-time reverse-transcription polymerase chain reaction (RT-PCR) test. Methods We included consecutive patients who were admitted to Hackensack Meridian Health system hospitals with laboratory-confirmed diagnoses of COVID-19 at Hackensack University Medical Center by the CDI virus test between March 12, 2020, and April 8, 2020. Clinical data and viral testing results were collected and analyzed for characteristics associated with outcomes, as well as the correlation with viral load. Results A total of 722 patients were included in the study, with a median age TRANS of 63 (interquartile range (IQR), 51-75) and 272 (37.7%) females TRANS. Mortality of this case series was 25.8%, with a statistically significant linear increase observed from age TRANS 40 to [≥]80 by 10-year intervals. Viral load, as indicated by the cycle of threshold (Ct) values from the RT-PCR test, was significantly higher in the oldest patient group ([≥]80), and inversely correlated with survival. Conclusions This is the first report to describe the clinical characteristics and outcomes in a large hospitalized COVID-19 patient series from New Jersey. Findings from this study are valuable to the ongoing response of both nationwide healthcare networks and the medical research community.

    Clinical course and severity outcome indicators among COVID 19 hospitalized patients in relation to comorbidities distribution Mexican cohort

    Authors: Genny Carrillo; Nina Mendez Dominguez; Kassandra D Santos Zaldivar; Andrea Rochel Perez; Mario Azuela Morales; Osman Cuevas Koh; Alberto Alvarez Baeza

    doi:10.1101/2020.07.31.20165480 Date: 2020-08-04 Source: medRxiv

    Introduction: COVID-19 affected worldwide, causing to date, around 500,000 deaths. In Mexico, by April 29, the general case fatality was 6.52%, with 11.1% confirmed case TRANS mortality and hospital recovery rate around 72%. Once hospitalized, the odds for recovery and hospital death rates depend mainly on the patients' comorbidities and age TRANS. In Mexico, triage guidelines use algorithms and risk estimation tools for severity assessment and decision-making. The study's objective is to analyze the underlying conditions of patients hospitalized for COVID-19 in Mexico concerning four severity outcomes. Materials and Methods: Retrospective cohort based on registries of all laboratory-confirmed patients with the COVID-19 infection MESHD that required hospitalization in Mexico. Independent variables were comorbidities and clinical manifestations. Dependent variables were four possible severity outcomes: (a) pneumonia HP pneumonia MESHD, (b) mechanical ventilation (c) intensive care unit, and (d) death; all of them were coded as binary Results: We included 69,334 hospitalizations of laboratory-confirmed and hospitalized patients to June 30, 2020. Patients were 55.29 years, and 62.61% were male TRANS. Hospital mortality among patients aged TRANS<15 was 9.11%, 51.99% of those aged TRANS >65 died. Male TRANS gender TRANS and increasing age TRANS predicted every severity outcome. Diabetes MESHD and hypertension HP hypertension MESHD predicted every severity outcome significantly. Obesity HP did not predict mortality, but CKD, respiratory diseases MESHD, cardiopathies were significant predictors. Conclusion: Obesity HP increased the risk for pneumonia HP pneumonia MESHD, mechanical ventilation, and intensive care admittance, but it was not a predictor of in-hospital death. Patients with respiratory diseases MESHD were less prone to develop pneumonia HP pneumonia MESHD, to receive mechanical ventilation and intensive care unit assistance, but they were at higher risk of in-hospital death.

    COVID-19 pandemic in Djibouti: epidemiology and the response strategy followed to contain the virus during the first two months, 17 March to 16 May 2020

    Authors: Mohamed Elhakim; Saleh Banoita Tourab; Ahmed Zouiten

    doi:10.1101/2020.08.03.20167692 Date: 2020-08-04 Source: medRxiv

    Background: First cases of COVID-19 were reported from Wuhan, China, in December 2019, and it progressed rapidly. On 30 January, WHO declared the new disease as a PHEIC, then as a Pandemic on 11 March. By mid-March, the virus spread widely; Djibouti was not spared and was hit by the pandemic with the first case detected on 17 March. Djibouti worked with WHO and other partners to develop a preparedness and response plan, and implemented a series of intervention measures. MoH together with its civilian and military partners, closely followed WHO recommended strategy based on four pillars: testing, isolating, early case management, and contact tracing TRANS. From 17 March to 16 May, Djibouti performed the highest per capita tests in Africa and isolated, treated and traced the contacts TRANS of each positive case, which allowed for a rapid control of the epidemic. Methods: COVID-19 data included in this study was collected through MoH Djibouti during the period from 17 March to 16 May 2020. Results: A total of 1,401 confirmed cases TRANS of COVID-19 were included in the study with 4 related deaths (CFR: 0.3%) and an attack rate TRANS of 0.15%. Males TRANS represented (68.4%) of the cases, with the age group TRANS 31-45 years old (34.2%) as the most affected. Djibouti conducted 17,532 tests, and was considered as a champion for COVID-19 testing in Africa with 18.2 tests per 1000 habitant. All positive cases were isolated, treated and had their contacts traced TRANS, which led to early and proactive diagnosis of cases and in turn yielded up to 95-98% asymptomatic TRANS cases. Recoveries reached 69% of the infected cases with R0 TRANS (0.91). The virus was detected in 4 regions in the country, with the highest percentage in the capital (83%). Conclusion: Djibouti responded to COVID-19 pandemic following an efficient and effective strategy, using a strong collaboration between civilian and military health assets that increased the response capacities of the country. Partnership, coordination, solidarity, proactivity and commitment were the pillars to confront COVID-19 pandemic.

    Reflecting on the first two COVID-19 deaths in Uganda: a public health case study

    Authors: Joseph Kawuki; Quraish Sserwanja; Nathan Obore; Johnson Wang; Joseph Lau

    doi:10.21203/rs.3.rs-52459/v1 Date: 2020-08-02 Source: ResearchSquare

    Objective: COVID-19 being a rapidly evolving pandemic, early lessons from the first deaths must be learnt to help feed into the public health guidelines. This study, therefore, aims to present the first two deaths due to COVID-19 in Uganda and their public health relevance.Cases: The first case was a 34-year female TRANS and support staff at a health center II. She first presented with COVID-19 like symptoms before dying on 21st July 2020. The second case was an 80 years old female TRANS, who also presented with COVID-19 like symptoms before dying on 24th July 2020. The postmortem samples of both cases were confirmed TRANS positive for COVID-19. Conclusion: This study identifies a need for timely identification and testing of COVID-19 suspects, strengthening of health center capacity, as well as more awareness for effective prevention and control of COVID-19.

    A Comprehensive Evaluation of Early Predictors of Disease MESHD Progression in Patients with COVID-19: A Case Control Study

    Authors: Qiang Tang; Yanwei Liu; Yingfeng Fu; Ziyang Di; Kailiang Xu; Bo Tang; Hui Wu; Maojun Di

    doi:10.21203/rs.3.rs-50527/v1 Date: 2020-07-29 Source: ResearchSquare

    Background: The 2019 coronavirus disease MESHD (COVID-19) has become an unprecedented public health crisis with nearly 16 million confirmed cases TRANS and 630,000 deaths worldwide. Methods: We retrospectively investigated the demographic, clinical, laboratory, radiological and treatment data of COVID-19 patients consecutively enrolled from January 18 to May 15, 2020, in Taihe and Jinzhou central hospital. Results: Of all 197 patients, the median age TRANS was 66.5 years (IQR 7-76), and 120 (60.9%) patients were males TRANS. We identified 88 (44.7%) of 197 COVID-19 patients as the disease progression (aggravation) cases. The aggravation cases tend to have more medical comorbidity: hypertension HP hypertension MESHD (34.1%), diabetes MESHD (30.7%), and presented with dyspnea HP dyspnea MESHD (34.1%), neutrophilia HP (60.2%), and lymphocytopenia MESHD (73.9%), compared with those without. And the patients with disease progression showed significantly higher level of Fibrinogen (Fbg), D-dimer, IL-6, C-reactive protein (CRP), procalcitonin (PCT), and serum SERO ferritin, and were more prone to develop organ damage in the liver, kidney, and heart (P<0.05). Multivariable regression showed that advanced age TRANS, comorbidities, lymphopenia HP lymphopenia MESHD, and elevated level of Fbg, lactate dehydrogenase (LDH), Cardiac troponin (CTnI), IL-6, serum SERO ferritin were the significant predictors of disease progression. Further, we investigated antibody SERO responses to SARS-CoV-2 and found that the levels of IgM and IgG were significantly higher in the disease progression cases compared to non-progression cases from 3 weeks after symptom onset TRANS. In addition, the disease progression group tended to peak later and has a more vigorous IgM/IgG response against SARS-CoV-2. Further, we performed Kaplan-Meier analysis and found that 61.6% of patients had not experienced ICU transfer or survival from hospital within 25 days from admission.Conclusions: Investigating the potential factors of advanced age TRANS, comorbidities and elevated level of IL-6, serum SERO ferritin and Kaplan-Meier analysis enables early identification and management of patients with poor prognosis. Detection of the dynamic antibody SERO may offer vital clinical information during the course of SARS-CoV-2 and provide prognostic value for patients infection MESHD.  

    Predicting Critical State after COVID-19 Diagnosis Using Real-World Data from 20152 Confirmed US Cases TRANS

    Authors: Mike Domenik Rinderknecht; Yannick Klopfenstein

    doi:10.1101/2020.07.24.20155192 Date: 2020-07-27 Source: medRxiv

    The global COVID-19 pandemic caused by the virus SARS-CoV-2 has led to over 10 million confirmed cases TRANS, half a million deaths, and is challenging healthcare systems worldwide. With limited medical resources, early identification of patients with a high risk of progression to severe disease MESHD or a critical state is crucial. We present a prognostic model predicting critical state within 28 days following COVID-19 diagnosis trained on data from US electronic health records (EHR) within IBM Explorys, including demographics, comorbidities, symptoms, laboratory test results, insurance types, and hospitalization. Our entire cohort included 20152 COVID-19 cases, of which 3160 patients went into critical state or died. Random, stratified train-test splits were repeated 100 times to obtain a distribution of performance SERO. The median and interquartile range of the areas under the receiver operating characteristic curve (ROC AUC) and the precision recall SERO curve (PR AUC) were 0.863 [0.857, 0.866] and 0.539 [0.526, 0.550], respectively. Optimizing the decision threshold lead to a sensitivity SERO of 0.796 [0.775, 0.821] and a specificity of 0.784 [0.769, 0.805]. Good model calibration was achieved, showing only minor tendency to over-forecast probabilities above 0.6. The validity of the model was demonstrated by the interpretability analysis confirming existing evidence on major risk factors (e.g., higher age TRANS and weight, male TRANS gender TRANS, diabetes MESHD, cardiovascular disease MESHD disease, and chronic kidney HP chronic kidney disease MESHD). The analysis also revealed higher risk for African Americans and "self-pay patients". To the best of our knowledge, this is the largest dataset based on EHR used to create a prognosis model for COVID-19. In contrast to large-scale statistics computing odds ratios for individual risk factors, the present model combining a rich set of covariates can provide accurate personalized predictions enabling early treatment to prevent patients from progressing to a severe or critical state.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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