scholarly journals COVID-19 Management at IHU Méditerranée Infection: A One-Year Experience

2021 ◽  
Vol 10 (13) ◽  
pp. 2881
Author(s):  
Philippe Brouqui ◽  
Michel Drancourt ◽  
Didier Raoult ◽  
Keyword(s):  
Genetic Variants ◽  
Quality Evaluation ◽  
Low Dose ◽  
Clinical Care ◽  
Case Fatality ◽  
Care Quality ◽  
Ct Scanner ◽  
High Quality ◽  
Case Fatality Ratio ◽  
One Year

Background: The Hospital-University Institute (IHU) Méditerranée Infection features a 27,000 square meter building hosting 700 employees and 75 hospitalized patients in the center of Marseille, France. Method: Previous preparedness in contagious disease management allowed the IHU to manage the COVID-19 outbreak by continuing adaptation for optimal diagnosis, care and outcome. We report here the output of this management. Results: From 5 March 2020, and 26 April 2021, 608,313 PCR tests were provided for 424,919 patients and 44,089 returned positive. A total of 23,390 patients with COVID-19 were followed at IHU with an overall case fatality ratio of 1.7%. Of them 20,270 were followed as outpatients with an overall CFR of 0.17%. We performed 24,807 EKG, 5759 low dose CT Scanner, and 18,344 serology. Of the 7643 nasopharyngeal samples inoculated in cell cultures 3317 (43.3%) yielded SARS-Cov-2 isolates. Finally, 7370 SARS-Cov-2 genomes were analyzed, allowing description of the first genetic variants and their implication in the epidemiologic curves. Continuous clinical care quality evaluation provided the opportunity for 155 publications allowing a better understanding of the disease and improvement of care and 132 videos posted on the IHU Facebook network, totaling 60 million views and 390,000 followers, and dealing with COVID-19, outbreaks, epistemology, and ethics in medicine. Conclusions: During this epidemic, IHU Méditerranée Infection played the role for which it has been created; useful clinical research to guarantee a high-quality diagnostic and care for patient and a recognized expertise.

scholarly journals Exploring the Patient’s Experience of Receiving Clinical Care Which Incorporates the Use of Mobile Technology at the Bedside

2021 ◽  
Author(s):  
J Warrilow ◽  
L Pho ◽  
C Murley ◽  
A Jones ◽  
G Fairbrother
Keyword(s):  
Patient Experience ◽  
Mobile Technology ◽  
Digital Health ◽  
Clinical Care ◽  
Hospital Setting ◽  
Care Quality ◽  
Patient’S Experience ◽  
Post Test ◽  
One Year ◽  
Views And Perceptions

Objective: Research-based insight into patient’s experiences of mobile technology at the bedside in the hospital setting remains limited. This research project aims to explore patient’s experience. Methods: This mixed method pre and post study aimed to explore the patient experience in relation to this and also test whether introducing further bedside technology (beyond the workstation on wheels) had an effect on the patient experience. Questionnaires and interviews were conducted among inpatient samples prior to and one year post introduction of a suite of new bedside technologies. Results: Pre and post patient survey results (pre: n=82; post: n=98) suggested that mixed views and perceptions existed and that some of these were associated with primary demographics such as age. At post-test, attitudes about bedside technology were found to be more positive, and feedback about care quality was found to be unchanged, Baseline patient interview findings (n=15) highlight the social ubiquity of technology as a driver of positive attitude in the digital health context. Conclusion: The addition of new bedside technology is very well received by patients and was not perceived to impact on care quality.

scholarly journals One Year of COVID-19 Pandemic: Case Fatality Ratio and Infection Fatality Ratio. A Systematic Analysis of 219 Countries and Territories

2021 ◽  
Author(s):  
Mikhail Teppone
Keyword(s):  
Health Care ◽  
Global Health ◽  
World Bank ◽  
Case Fatality ◽  
Systematic Analysis ◽  
Case Fatality Ratio ◽  
Aged People ◽  
Global Health Care ◽  
Objective Basis ◽  
One Year

Background. January 2021 marked one year since the start of COVID-19 pandemic: it is the time of intermediate conclusions. Objective. To evaluate CFR and IFR due to COVID-19 in various countries and territories, and to study if parameters of a population age affect CFR and IFR. Material and Methods. The databases of 219 countries were collected on the Worldometers, Index Mundi, Country Meters and World Bank websites. The processing of data was divided into two parts: the first part dealt with the calculation and analysis of CFR while the second, the calculation and analysis of IFR. Results. The calculations revealed that in 74 out of 219 countries, CFR was less than 1.00 %, in 69 countries it varied between 1.00 % and 2.00 %, and in 76 countries it was more than 2.00 %. The calculation of IFR revealed that in 183 countries, IFR was less than 1.00 %, in 22 countries IFR was between 1.00 % and 2.00 %, and only in 14 out of 219 countries IFR was more than 2.00 %. A correlation between IFR and parameters of a population age was found: the less median age and the percentage of 'aged' people – the less value of IFR, although, there was no correlation between parameters of a population age and CFR. Conclusion. The global health care system has gone through a year of serious trial caused by COVID-19 and appeared to have emerged victorious. In the majority of countries analyzed, the parameters of mortality due to COVID-19 were at a low level. So, there seems to be an objective basis for optimism and hope for an early end to the pandemic.

A Note on Estimating the Case Fatality Ratio for Novel Corona Virus Disease (Covid-19)

Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Prafulla Kumar Swain
Keyword(s):  
Confidence Interval ◽  
Graphical Representation ◽  
Virus Disease ◽  
Case Fatality ◽  
Case Fatality Ratio ◽  
Healthcare Planning ◽  
Robust Estimates ◽  
University Of Oxford ◽  
Pros And Cons ◽  
Death Cases

Background: In this paper an attempt has been made to estimate the Case Fatality Ratio (CFR) for coronavirus disease of India and few selected countries. and Also, highlighted the pros and cons of obtaining crude and adjusted CFR of COVID-19 pandemic. Material and Methods: Data extracted from WHO situation report and University of Oxford website have been used for this analysis. The CFR and its 95% confidence interval were computed, trend and bar plot was used for graphical representation. Results: The worldwide crude CFR stands 6.73% (95% CI 6.69 to 6.76) based on 21, 83, 877 confirmed and 1,46,872 death cases(as on 17th April,2020). Belgium was highest CFR 13.95% as compared to others. However, India’s CFR was found to be around 3.26% (as on 17th April, 2020). Conclusion: In conclusion, the estimation and interpretation of CFR is critical in response to ongoing COVID-19. The initial CFR estimates are subject to change, still it is useful for healthcare planning over the coming months. Moreover, the precise and robust estimates of CFR will be available only at the end of the epidemic.

Covid-19 Cases in India: A Visual Exploratory Data Analysis Model (Preprint)

2020 ◽  
Author(s):  
Jayesh S
Keyword(s):  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Case Fatality ◽  
Public Health Emergency ◽  
Virus Spread ◽  
Analysis Model ◽  
Case Fatality Ratio ◽  
First Case ◽  
Exploratory Data ◽  
The Government

UNSTRUCTURED Covid-19 outbreak was first reported in Wuhan, China. The deadly virus spread not just the disease, but fear around the globe. On January 2020, WHO declared COVID-19 as a Public Health Emergency of International Concern (PHEIC). First case of Covid-19 in India was reported on January 30, 2020. By the time, India was prepared in fighting against the virus. India has taken various measures to tackle the situation. In this paper, an exploratory data analysis of Covid-19 cases in India is carried out. Data namely number of cases, testing done, Case Fatality ratio, Number of deaths, change in visits stringency index and measures taken by the government is used for modelling and visual exploratory data analysis.

Quality Evaluation of Health Information Systems: A Systematic Literature Review (Preprint)

2020 ◽  
Author(s):  
René Noël ◽  
Carla Taramasco ◽  
Gastón Márquez
Keyword(s):  
Literature Review ◽  
Health Information ◽  
Systematic Literature Review ◽  
Quality Evaluation ◽  
Health Information System ◽  
Care Quality ◽  
Assessment Process ◽  
Current Scenario ◽  
Patient Care Quality ◽  
Critical Components

BACKGROUND Evaluating Health Information System (HIS) quality is strategically advantageous for improving patient care quality. Nevertheless, there is little research evidence identifying and describing what standards, processes, and tools are used to evaluate HIS quality. OBJECTIVE This study aims to illustrate, detail, and discuss the current scenario regarding the standards, norms, processes, and tools used to evaluate HIS quality. METHODS We conduct a systematic literature review (SLR) using review guidelines focused on software and systems. We examined seven electronic databases (Scopus, ACM, ScienceDirect, Google Scholar, IEEE Xplorer, the Web of Science and PubMed) to search and select primary studies. Three researchers and three collaborators participated in the review and quality assessment process of the studies. RESULTS We identified 17 primary studies that have been published in journals and conferences. We found that most of the primary studies address quality evaluation from a management perspective. Second, there is little explicit and pragmatic evidence on the processes and tools that allow evaluation of HIS quality. CONCLUSIONS To promote quality evaluation of HISs, it is necessary to define mechanisms and methods that operationalize the standards and norms of HISs. Additionally, it is necessary to create metrics that measure the quality of the most critical components and processes of HISs. CLINICALTRIAL Does not apply to our study

scholarly journals COVID-19 in conflict border regions: a case of South Kordofan, Sudan

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Quraish Sserwanja ◽  
Mohammed Bashir Adam ◽  
Joseph Kawuki ◽  
Emmanuel Olal
Keyword(s):  
Case Fatality ◽  
Mechanical Ventilators ◽  
Governmental Organizations ◽  
Non Governmental Organizations ◽  
Bed Capacity ◽  
Displaced People ◽  
Set Up ◽  
One Year ◽  
Novel Coronavirus ◽  
South Kordofan

AbstractThe novel coronavirus disease (COVID-19) was first reported in Sudan on 13 March 2020. Since then, Sudan has experienced one of the highest rates of COVID-19 spread and fatalities in Africa. One year later, as per 22 March 2021, Sudan had registered 29,661 confirmed cases and 2,028 deaths with a case fatality rate (CFR) of 6.8 %. By 12 December 2020, of the 18 states in Sudan, South Kordofan had the fifth highest CFR of 17.4 %, only surpassed by the other conflict affected North (57.5 %), Central (50.0 %) and East (31.8 %) Darfur States. By late March 2021, just three months from December 2020, the number of cases in South Kordofan increased by 100 %, but with a significant decline in the CFR from 17.4 to 8.5 %. South Kordofan is home to over 200,000 poor and displaced people from years of destructive civil unrests. To date, several localities such as the Nubba mountains region remain under rebel control and are not accessible. South Kordofan State Ministry of Health in collaboration with the federal government and non-governmental organizations set up four isolation centres with 40 total bed capacity, but with only two mechanical ventilators and no testing centre. There is still need for further multi-sectoral coalition and equitable allocation of resources to strengthen the health systems of rural and conflict affected regions. This article aims at providing insight into the current state of COVID-19 in South Kordofan amidst the second wave to address the dearth of COVID-19 information in rural and conflict affected regions.

scholarly journals Correlates of SARS-CoV-2 Variants on Deaths, Case Incidence and Case Fatality Ratio among the Continents for the Period of 1 December 2020 to 15 March 2021

Genes ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 1061
Author(s):  
Wajdy J. Al-Awaida ◽  
Baker Jawabrah Al Hourani ◽  
Samer Swedan ◽  
Refat Nimer ◽  
Foad Alzoughool ◽  
...  
Keyword(s):  
Negative Correlation ◽  
Significant Positive Correlation ◽  
Vaccine Development ◽  
Case Fatality ◽  
Significant Negative Correlation ◽  
Reference Sequence ◽  
Genome Sequences ◽  
Positive Correlation ◽  
Case Fatality Ratio ◽  
Epidemiological Surveys

The outbreak of coronavirus disease 2019 (COVID-19), by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has quickly developed into a worldwide pandemic. Mutations in the SARS-CoV-2 genome may affect various aspects of the disease including fatality ratio. In this study, 553,518 SARS-CoV-2 genome sequences isolated from patients from continents for the period 1 December 2020 to 15 March 2021 were comprehensively analyzed and a total of 82 mutations were identified concerning the reference sequence. In addition, associations between the mutations and the case fatality ratio (CFR), cases per million and deaths per million, were examined. The mutations having the highest frequencies among different continents were Spike_D614G and NSP12_P323L. Among the identified mutations, NSP2_T153M, NSP14_I42V and Spike_L18F mutations showed a positive correlation to CFR. While the NSP13_Y541C, NSP3_T73I and NSP3_Q180H mutations demonstrated a negative correlation to CFR. The Spike_D614G and NSP12_P323L mutations showed a positive correlation to deaths per million. The NSP3_T1198K, NS8_L84S and NSP12_A97V mutations showed a significant negative correlation to deaths per million. The NSP12_P323L and Spike_D614G mutations showed a positive correlation to the number of cases per million. In contrast, NS8_L84S and NSP12_A97V mutations showed a negative correlation to the number of cases per million. In addition, among the identified clades, none showed a significant correlation to CFR. The G, GR, GV, S clades showed a significant positive correlation to deaths per million. The GR and S clades showed a positive correlation to number of cases per million. The clades having the highest frequencies among continents were G, followed by GH and GR. These findings should be taken into consideration during epidemiological surveys of the virus and vaccine development.

scholarly journals An Underwater Image Enhancement Algorithm Based on Generative Adversarial Network and Natural Image Quality Evaluation Index

2021 ◽  
Vol 9 (7) ◽  
pp. 691
Author(s):  
Kai Hu ◽  
Yanwen Zhang ◽  
Chenghang Weng ◽  
Pengsheng Wang ◽  
Zhiliang Deng ◽  
...  
Keyword(s):  
Image Quality ◽  
Image Enhancement ◽  
Quality Evaluation ◽  
High Efficiency ◽  
Natural Image ◽  
High Quality ◽  
Generative Adversarial Network ◽  
Image Quality Evaluation ◽  
Adversarial Network ◽  
Underwater Image

When underwater vehicles work, underwater images are often absorbed by light and scattered and diffused by floating objects, which leads to the degradation of underwater images. The generative adversarial network (GAN) is widely used in underwater image enhancement tasks because it can complete image-style conversions with high efficiency and high quality. Although the GAN converts low-quality underwater images into high-quality underwater images (truth images), the dataset of truth images also affects high-quality underwater images. However, an underwater truth image lacks underwater image enhancement, which leads to a poor effect of the generated image. Thus, this paper proposes to add the natural image quality evaluation (NIQE) index to the GAN to provide generated images with higher contrast and make them more in line with the perception of the human eye, and at the same time, grant generated images a better effect than the truth images set by the existing dataset. In this paper, several groups of experiments are compared, and through the subjective evaluation and objective evaluation indicators, it is verified that the enhanced image of this algorithm is better than the truth image set by the existing dataset.

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