Analysis of COVID-19 epidemic and clinical risk factors of patients under epidemiological Markov model

Zhang, Wei; Zhang, Caiping; Bi, Yifang; Yuan, Lirong; Jiang, Yi; Hasi, Chaolu; Zhang, Xinri; Kong, Xiaomei

doi:10.1016/j.rinp.2021.103881

Cited by 17 publications

(14 citation statements)

References 16 publications

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“…Epidemiologists, virologists and clinicians analyze primarily the risks of a pandemic and their factors [5][6][7][8][9][10][11][12]. The results of intensive studies of the structure and function of SARS-CoV-2 coronavirus and COVID-19 disease expansion, carried out over the past year by researchers from the world community [13][14].…”

Section: Introductionmentioning

confidence: 99%

Economic and social factors affecting the epidemiological process of the SARS-CoV-2 coronavirus

Пономаренко¹

2021

Preprint

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Summary Aim. Analyze the impact of several economic and social factors on the course of the COVID-19 pandemic, comparing the latest statistics in large and representative samples. Assess the factors inhibiting the negative consequences of the infectious process of the SARS-CoV-2 virus. Materials and methods. To create this review, the required academic and media publications also statistical data were found on the Internet for the selected keywords, both for a single tag and in various combinations of them. Population statistics have been created on the base of data available on the Internet. Results and discussion. The relationship between economic or social factors and the impacts of the 15-month COVID-19 pandemic in different regions was investigated using a variety of available statistics for five continents and 53 countries. A positive relationship was found between the consequences of the SARS-CoV-2 epidemic and GDP per capita or the type of human diet with correlation coefficients in the range of 0.48-0.87. The development of the viral epidemic demonstrates a less clear correlation on population density from r = -0.68 to r = -0.16, depending on the selected group of countries. For island nations, geographic isolation was the dominant defense against SARS-CoV-2 infection. Conclusions. An analytical and quantitative study of economic or social aspects and numerous statistics on the spread of the COVID-19 pandemic, carried out on large representative samples, showed that, the productive infection and pathogenicity of SARS-CoV-2, critically increase with an excessive amount of consumed proteins and fats. To successfully control of the progression COVID-19 disease, the WHO guidelines for the amount of macronutrients consumed should be followed. This cost-effective approach will reduce health care expenditures in all countries during the epidemic.

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Section: Introductionmentioning

confidence: 99%

Economic and social factors affecting the epidemiological process of the SARS-CoV-2 coronavirus

Пономаренко¹

2021

Preprint

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“…A novel aspect here is the inclusion of data recently collected during the admission period. A different perspective is noted in Zhang et al [99] [46], and Gavelli et al [64].…”

Section: Authors Technique Typementioning

confidence: 92%

Process Improvement Approaches for Increasing the Response of Emergency Departments against the COVID-19 Pandemic: A Systematic Review

Ortíz‐Barrios

Coba-Blanco

Alfaro-Saiz

et al. 2021

IJERPH

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The COVID-19 pandemic has strongly affected the dynamics of Emergency Departments (EDs) worldwide and has accentuated the need for tackling different operational inefficiencies that decrease the quality of care provided to infected patients. The EDs continue to struggle against this outbreak by implementing strategies maximizing their performance within an uncertain healthcare environment. The efforts, however, have remained insufficient in view of the growing number of admissions and increased severity of the coronavirus disease. Therefore, the primary aim of this paper is to review the literature on process improvement interventions focused on increasing the ED response to the current COVID-19 outbreak to delineate future research lines based on the gaps detected in the practical scenario. Therefore, we applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to perform a review containing the research papers published between December 2019 and April 2021 using ISI Web of Science, Scopus, PubMed, IEEE, Google Scholar, and Science Direct databases. The articles were further classified taking into account the research domain, primary aim, journal, and publication year. A total of 65 papers disseminated in 51 journals were concluded to satisfy the inclusion criteria. Our review found that most applications have been directed towards predicting the health outcomes in COVID-19 patients through machine learning and data analytics techniques. In the overarching pandemic, healthcare decision makers are strongly recommended to integrate artificial intelligence techniques with approaches from the operations research (OR) and quality management domains to upgrade the ED performance under social-economic restrictions.

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“…The COVID-19 pandemic is a global health, medical, social and economic challenge now and as well as in the future. Many diverse factors increasing the onset and course of COVID-19 disease have been evaluated and analyzed [5,[7][8][9][10][11][12][13][14][15][16][17]. This review analyzes the influence of dietary factors on the development of the SARS-CoV-2 epidemic process on five continents and in some of their regions in order to assess the effectiveness of factors that can reduce the consequences of a severe infectious disease.…”

Section: Introductionmentioning

confidence: 99%

The development and outcomes of the COVID-19 disease correlate with the type of nutrition

Пономаренко¹

2023

Preprint

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Aim. Analyze the role of diet in the process of infection with the SARS-CoV-2 coronavirus and identify factors that correlate with a decrease in the pathogenic consequences of the COVID-19 disease. Materials and methods. The information and data required for this review were found in scientific publications and the media available on the Internet, as well as obtained from statistical databases using specific keywords, both for a single tag, and in various combinations of them. Statistical samples were managed from sources and facts available on the Internet. Results and discussion. The relationship between nutritional factors and the impact of the 15-month COVID-19 pandemic in different regions was investigated using various available statistics for five continents and 47 countries. A clear relationship was found between the prevalence of the SARS-CoV-2 epidemic and the amount of food consumed, with correlations in the negative range r = -0.98 and r = -0.66 for plant proteins and with a correlation coefficient r = 0.92 for animal proteins. Also, excessive sugar consumption increases the severity of COVID-19 with correlation coefficients in the range of r = 0.99-0.72. Conclusions. Quantitative analysis of statistical data and an assessment of nutritional factors during the development of a 15-month pandemic in various regions showed that the severity of the infectious process of the SARS-CoV-2 virus and the COVID-19 disease was aggravated by excessive consumption of sugar, fat and total protein. The number of people infected with the virus or deaths from COVID-19 per 100,000 inhabitants was radically lower in regions where more plant foods were consumed than products of animal origin.

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Analysis of COVID-19 epidemic and clinical risk factors of patients under epidemiological Markov model

Cited by 17 publications

References 16 publications

Economic and social factors affecting the epidemiological process of the SARS-CoV-2 coronavirus

Economic and social factors affecting the epidemiological process of the SARS-CoV-2 coronavirus

Process Improvement Approaches for Increasing the Response of Emergency Departments against the COVID-19 Pandemic: A Systematic Review

The development and outcomes of the COVID-19 disease correlate with the type of nutrition

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