Future forecasting prediction of Covid-19 using hybrid deep learning algorithm.

Due the quick spread of coronavirus disease 2019 (COVID-19), identification of that disease, prediction of mortality rate and recovery rate are considered as one of the critical challenges in the whole world. The occurrence of COVID-19 dissemination beyond the world is analyzed in this research and an artificial-intelligence (AI) based deep learning algorithm is suggested to detect positive cases of COVID19 patients, mortality rate and recovery rate using real-world datasets. Initially, the unwanted data like prepositions, links, hashtags etc., are removed using some pre-processing techniques. After that, term frequency inverse-term frequency (TF-IDF) andBag of Words (BoW) techniques are utilized to extract the features from pre-processed dataset. Then, Mayfly Optimization (MO) algorithm is performed to pick the relevant features from the set of features. Finally, two deep learning procedures, ResNet model and GoogleNet model, are hybridized to achieve the prediction process. Our system examines two different kinds of publicly available text datasets to identify COVID-19 disease as well as to predict mortality rate and recovery rate using those datasets. There are four different datasets are taken to analyse the performance, in which the proposed method achieves 97.56% accuracy which is 1.40% greater than Linear Regression (LR) and Multinomial Naive Bayesian (MNB), 3.39% higher than Random Forest (RF) and Stochastic gradient boosting (SGB) as well as 5.32% higher than Decision tree (DT) and Bagging techniques if first dataset. When compared to existing machine learning models, the simulation result indicates that a proposed hybrid deep learning method is valuable in corona virus identification and future mortality forecast study.

The relationship between cognitive emotion regulation and corona disease anxiety in the elderly: The mediating role of distress tolerance

The spread of Coronavirus seems to be an important challenge for health care systems in Iran. Cognitive emotion regulation and distress tolerance are thought to be the variables that can have a significant impact on mental health and quality of life in the elderly during the outbreak of coronavirus. Consequently, this study aimed to investigate the mediating role of distress tolerance in the relationship between cognitive emotion regulation and Corona disease anxiety (CDA) in the elderly. The research method was correlational, of path analysis type. The statistical population included all the elderly living in Sanandaj, Iran in 2021, among whom 300 were selected using convenience sampling method. Data were collected using Alipour et al.'s CDA Scale, Garnefski & Kraaij's Cognitive Emotion Regulation Questionnaire, and Simons & Gaher's Distress Tolerance Questionnaire, and were analyzed using Pearson's correlation method and path analysis in Amos software. The results demonstrated that the model fits the research data. According to the results, the path of positive cognitive emotion regulation strategies to CDA was mediated by distress tolerance (beta = -0.17, P < 0.05) and the path of negative cognitive emotion regulation strategies to CDA was mediated by distress tolerance (beta = 0.25, P < 0.01) significantly. According to the results of the current research, it can be said that targeting the three components of positive and negative cognitive emotion regulation as well as distress tolerance in relation to treatments and psychological services can be effective for the elderly during the spread of coronavirus. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Corona Disease Anxiety And Parenting Stress: Predictions Of Ahvaz Children Anxiety During Home Quarantine Due To Corona Virus Outbreak

Anxiety is one of the important variables that can effect on the present and future life of children.The aim of this study was to predict children's anxiety through Corona Disease Anxiety and Parental Stress during coronavirus quarantine. The research method was correlational. The study statistical population was all primary children and their mothers of Ahwaz in the year 2019-20. Out of 400 eligible mothers, 300 mothers were selected as the sample by convenience sampling method and answered online the questionnaires including Corona Disease Anxiety Scale, short form of Parental Stress Questionnaire and Spence Children's Anxiety Scale- Parent Version. The Mothers completed Corona Disease Anxiety Scale, short form of Parental Stress Questionnaire and Spence Children's Anxiety Scale- Parent Version. Pearson correlation coefficient and stepwise regression were used to analyze the data.. The results indicated that there is a positive and significant correlation between corona disease anxiety and parenting stress with children's anxiety during coronavirus quarantine. Also, the results of regression analysis showed that corona disease anxiety and parenting stress can significantly predict 31% of changes in children's anxiety. Therefore, it is suggested that the necessary planning be done to reduce the anxiety of parents and children during epidemics. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

Effective factors in financial empowerment of hotels in critical situations with emphasis on the conditions of Corona outbreak

BACKGROUND AND OBJECTIVES: The study aims to use the opinions of experts to analyze the factors involved in the financial empowerment of hotels in crises with an emphasis on the prevalence of COVID 19 in five-star hotels. METHODS: The population consists of administrative and managers and the sample size consisted of 384 members of the studied hotels. The questionnaire was sent to the sample members via social media or they answered the online questionnaire. Smart PLS software was used to analyze the raw data and the research model was designed using structural equation modeling. FINDINGS: According to the main hypothesis, controlling coronary disease will improve the financial condition of hotels, and this hypothesis was confirmed with a coefficient of β: 0.781. As sub-hypotheses of factors of creating consistent use, consistent use change, reducing unnecessary costs, maintaining customer relationship and marketing in proportion to the coefficients of β:0.594, 0.506, 0.591, 0.623, 0.523 were confirmed as effective factors in financial empowerment. On the other hand, restricting businesses, reducing unnecessary traffic, and emphasizing social distance with coefficients of β: 0.498, 0.522, 0.618 were approved as effective factors in disease control. CONCLUSION: Because the specific time for the end of the Coronavirus epidemic is not known;therefore, closure is not a good solution to overcome the virus in the hotel industry. Adapting the business to the new conditions can be a good way to financially empower the hotel industry. On the other hand, observing the factors discussed in disease control in the present study can cause disease control;since disease control is ultimately directly related to the hotel's financial empowerment. Finally, it should be said that the most important achievement of the present study is to present a financial crisis management approach during its occurrence. © 2022 by the Author(s).

The Relationship between Self-Efficacy, Self-Care Behavior, and Generalized Anxiety Disorder in COVID-19: A Path Analysis Model

Background: The outbreak of the COVID-19 pandemic has a strong impact on individuals and becomes a very stressful period. Long-Term exposure to stress due to lockdown scenario may also increase psychological distress by reducing support resources, and in these circumstances, personal resources such as self-efficacy and its relationships appear important. It is essential to explore people s beliefs about their capabilities to produce designated levels of behavior in the face of COVID-19, which is not known in the target population, and also to show its effect on anxiety. Purpose: This study aimed to investigate the relationship between self-efficacy, self-care behavior, and generalized anxiety disorder in COVID-19. Methods: A cross-sectional online survey was performed after COVID-19 was confirmed in Iran. The samples of the study were 500 residents in the Razavi Khorasan province, Iran, that were randomly selected. Demographic data, general self-efficacy, self-care behavior, and the Generalized Anxiety Disorder (GAD-7) questionnaires were used for data collection. The data were analyzed using bivariate correlation and hierarchical linear regression models. Results: The mean(SD) age of the participants was 31.9(11.9). Their GAD-7 scores had severe anxiety (score 17). There was a negative and significant relationship between generalized anxiety disorder and self-efficacy (r=-0.238, p0.01). Also, there was a positive and significant relationship between self-efficacy and self-care behavior. No significant relationship between generalized anxiety disorder and self-care behavior was found. The path analysis model estimated anxiety and self-efficacy as about 4% of the variance self-care behavior in COVID-19. Conclusion: This study revealed that enhancing self-efficacy levels might reduce anxiety. Self-efficacy-enhancing programs should be used as part of the routine readiness effort drives and health care system change. © 2022 Diponegoro University- Department of Nursing, Faculty of Medicine. All rights reserved.

An Overview of the Epidemiologic, Diagnostic and Treatment Approaches of COVID-19: What do We Know?

Background: In late December 2019, a new infectious respiratory disease (COVID-19) was reported in a number of patients with a history of exposure to the Huanan seafood market in China. The World Health Organization officially announced the COVID-19 pandemic on March 11, 2020. Here, we provided an overview of the epidemiologic, diagnostic and treatment approaches associated with COVID-19. Methods: We reviewed the publications indexed in major biomedical databases by December 20, 2020 or earlier (updated on May 16, 2021). Search keywords included a combination of: COVID-19, Coronavirus disease 2019, SARS-CoV-2, Epidemiology, Prevention, Diagnosis, Vaccine, and Treatment. We also used available information about COVID-19 from valid sources such as WHO. Results and Conclusion: At the time of writing this review, while most of the countries authorized COVID-19 vaccines for emergency use starting December 8, 2020, there is no a definite cure for it. This review synthesizes current knowledge of virology, epidemiology, clinical symptoms, diagnostic approaches, common treatment strategies, novel potential therapeutic options for control and prevention of COVID-19 infection, available vaccines, public health and clinical implications.

A proposed ABCD scoring system for better triage of patients with COVID-19: Use of clinical features and radiopathological findings.

BACKGROUND AND AIMS: Currently there are limited tools available for triage of patients with COVID -19. We propose a new ABCD scoring system for patients who have been tested positive for COVID-19. METHODS: The ABCD score is for patients who have been tested positive for COVID-19 and admitted in a hospital. This score includes age of the patient, blood tests included leukopenia, lymphocytopenia, CRP level, LDH level,D-Dimer, Chest radiograph and CT Scan, Comorbidities and Dyspnea. RESULTS: The triage score had letters from alphabets which included A, B, C, D. The score was developed using these variables which outputs a value from 0 to 1. We had used the code according to traffic signal system; green(mild), yellow moderate) and red(severe). The suggestions for mild (green)category: symptomatic treatment in ward, in moderate (yellow) category: active treatment, semi critical care and oxygen supplementation, in severe (red) category: critical care and intensive care. CONCLUSIONS: This study is, to our knowledge, is the first scoring tool that has been prepared by Indian health care processional's and used alphabets A, B,C,D as variables for evaluation of admitted patients with COVID-19. This triage tool will be helpful in better management of patients with COVID-19. This score component includes clinical and radiopathological findings.A multi-centre study is required to validate all available scoring systems.

Impact of COVID -19 in cancer patients on severity of disease and fatal outcomes: A systematic review and meta-analysis.

BACKGROUND AND AIMSBACKGROUND: Currently there is limited knowledge on cancer and COVID-19; we conducted a systematic review and meta-analysis to evaluate the impact of cancer on serious events including ICU admission rate and mortality in COVID 19. METHODS: PubMed, Cochrane Central Register of Clinical Trials were searched on April 16, 2020, to extract published articles that reported the outcomes of cancer in COVID-19 patients. The search terms were "coronavirus" and "clinical characteristics" with no language or time restrictions. We identified 512 published results and 13 studies were included in the analysis. RESULTS: There were 3775 patients, of whom 63 (1·66%) had a cancer. The pooled estimates of ICU admission in COVID 19 patients with and without cancer were 40% versus 8·42%.The odds ratio of ICU admission rates between the cancer and non-cancer groups was 2.88 with a 95% CI of 1·18 to 7·01 (p = 0·026). The pooled estimates of death rate in COVID -19 patients with and without cancer were 20·83% versus 7·82%. The odds ratio of death rates between the cancer and non-cancer groups was 2.25 with a 95% CI ranging from 0·71 to 7·10 with p value of 0·166. The pooled prevalence of cancer patients was 2% (95 CI 1-4). CONCLUSIONS: Presence of cancer in COVID-19 leads to higher risk of developing serious events i.e. ICU admission, mechanical ventilation and mortality. The presence of cancer has a significant impact on mortality rate in COVID-19 patients.

Coronavirus disease (COVID-19): A systematic review and meta-analysis to evaluate the impact of various comorbidities on serious events.

BACKGROUND AND AIMS: Currently there is limited knowledge on medical comorbidities and COVID-19; we conducted a systematic review and meta-analysis to evaluate the impact of various morbidities on serious events in COVID 19. METHODS: PubMed, Cochrane Central Register of Clinical Trials were searched on April 28, 2020, to extract published articles that reported the outcomes of COVID-19 patients. The search terms were "coronavirus" and "clinical characteristics". ICU admission, mechanical ventilation, ARDS, Pneumonia, death was considered serious events. The comorbidities assessed in the study were Hypertension (HTN), Diabetes mellitus (DM), Cardiovascular diseases (CVD), Chronic obstructive pulmonary disease (COPD) and Chronic Kidney disease (CKD). Subsequently, comparisons between comorbidity patient group and the non-comorbidity patient groups, in terms of serious events were made using the pooled estimates of odd's ratio (OR) RESULTS: We identified 688 published results and 16 studies with 3994 patients were included in the systematic review. Serious events were seen in 526(13.16%) patients. Presence of hypertension with OR 2.95, diabetes mellitus with OR 3.07, Cardio vascular disease with OR 4.58, COPD with OR 6.66 and Chronic kidney disease with OR 5.32 had significant association in patients with COVID 19 on having serious events. Presence of diabetes mellitus (OR 2.78)) had a significant impact on death in COVID 19 patients with a p-value 0.004. CONCLUSIONS: Presence of medical comorbidities in COVID-19 leads to higher risk of developing serious events i.e. ICU admission, mechanical intubation and mortality. The presence of Diabetes mellitus has a significant impact on mortality rate in COVID-19 patients.