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Singapore Economic Review ; 2022.
Article in English | Scopus | ID: covidwho-2138145

ABSTRACT

This study examines the relationship between bank-specific variables, macroeconomic variables and non-performing loans (NPLs) in the seven countries of Southeast Asia (Cambodia, Indonesia, Malaysia, Philippines, Singapore, Thailand and Vietnam) during the pre-COVID-19and COVID-19 pandemic. This study adopts panel data regression and distributed lagged regression to examine the impact of bank-specific variables and macroeconomic variables as NPL determinants. The results show that bank-specific variables significantly correlate to NPL, but limited evidence indicates the influence of macroeconomic variables during pre-COVID. Nonetheless, macroeconomic variables are significant to NPL with the emergence of the pandemic, while the bank-specific variables are found to be insignificant. It shows that macroeconomic variables have a greater impact during the turbulent period as they affect most businesses, especially during the pandemic. Furthermore, macroeconomic variables are observed to have a stronger influence on developed countries, but the impact of bank-specific variables is stronger in emerging countries. The results of this study assist policymakers, regulators, banks and governments in identifying the determinants of high NPL as the indicator of a financial crisis. Greater emphasis shall be given to the changes in macroeconomic variables. © 2022 World Scientific Publishing Company.

3.
1st Samarra International Conference for Pure and Applied Sciences, SICPS 2021 ; 2394, 2022.
Article in English | Scopus | ID: covidwho-2133919

ABSTRACT

We aim by this research to use mathematical methods to model the Coved-19 epidemic in Iraq by comparing time series by using box & Jenkins model and artificial neural networks. The infections, cures and deaths data were used for the period from 24/2/2020 to 30/11/2020. The study found a tendency in the numbers of infections and cures using the Box & Jenkins model to rise, while the numbers of deaths tended to stabilize. Artificial neural networks, using the MLP algorithm, have found a tendency to number of infections by decline and cures to rise, while deaths numbers tended to decrease and then to stability. In addition, the study found that the forecasting of the numbers of infections was more accurate using artificial networks, while the forecasting of the numbers of cures was more accurate in the Box Jenkins model and the forecasting of death numbers was at the same level of accuracy in the trade-off between the two methods. The study recommends to sue the artificial networks to forecast the number of infections and deaths and the use of the Box Jenkins model to forecast cures. In addition, the study recommends the use of these mathematical methods to help decision makers respond to the epidemic. And also recommends to conduct another study using other techniques for artificial networks as an algorithm extreme learning machines (ELM). The study also recommends a survey of habits associated with the spread of the epidemic, such as social distancing and other, linking them with the numbers of infections, cures and deaths to reach a protocol specific to Iraq based on accurate mathematical and scientific foundations. © 2022 American Institute of Physics Inc.. All rights reserved.

4.
Mathematical Biosciences and Engineering ; 20(1):337-364, 2022.
Article in English | Web of Science | ID: covidwho-2110349

ABSTRACT

Statistical methodologies have broader applications in almost every sector of life including education, hydrology, reliability, management, and healthcare sciences. Among these sectors, statistical modeling and predicting data in the healthcare sector is very crucial. In this paper, we introduce a new method, namely, a new extended exponential family to update the distributional flexibility of the existing models. Based on this approach, a new version of the Weibull model, namely, a new extended exponential Weibull model is introduced. The applicability of the new extended exponential Weibull model is shown by considering two data sets taken from the health sciences. The first data set represents the mortality rate of the patients infected by the coronavirus disease 2019 (COVID-19) in Mexico. Whereas, the second set represents the mortality rate of COVID-19 patients in Holland. Utilizing the same data sets, we carry out forecasting using three machine learning (ML) methods including support vector regression (SVR), random forest (RF), and neural network autoregression (NNAR). To assess their forecasting performances, two statistical accuracy measures, namely, root mean square error (RMSE) and mean absolute error (MAE) are considered. Based on our findings, it is observed that the RF algorithm is very effective in predicting the death rate of the COVID-19 data in Mexico. Whereas, for the second data, the SVR performs better as compared to the other methods.

5.
J Postgrad Med ; 68(4): 199-206, 2022.
Article in English | MEDLINE | ID: covidwho-2080671

ABSTRACT

Background: : Risk assessment with prognostic scoring, though important, is scarcely studied in emergency surgical patients with COVID-19 infection. Methods and Material: We conducted a retrospective cohort study on adult emergency surgical patients with COVID-19 infection in our institute from 1 May 2020 to 31 October 2021 to find the 30-day postoperative mortality and predictive accuracy of prognostic scores. We assessed the demographic data, prognostic risk scores (American Society of Anesthesiologists-Physical Classification (ASA-PS), Sequential Organ Failure Assessment (SOFA), Quick SOFA (qSOFA), Physiologic and Operative Severity Score for the enUmeration of Mortality and Morbidity (POSSUM) and Portsmouth-POSSUM (P-POSSUM) scores), surgical and anesthetic factors. We assessed the postoperative morbidity using the Clavien-Dindo scale and recorded the 30-day mortality. Correlation of prognostic scores and mortality was evaluated using Univariate Cox proportional hazards regression, receiver operating characteristic curve (ROC), Youden's index and Hosmer- Lemeshow goodness of fit model. Results: Emergency surgery was performed in 67 COVID-19 patients with postoperative complication and 30-day mortality rate of 33% and 19%, respectively. A positive qSOFA and ASAPS IIIE/IVE had a 9.03- and 12.7-times higher risk of mortality compared to a negative qSOFA and ASA-PS IE/IIE (P < 0.001), respectively. Every unit increase of SOFA, POSSUM and P-POSSUM scores was associated with a 50%, 18% and 17% higher risk of mortality, respectively. SOFA, POSSUM and P-POSSUM AUCROC curves showed good discrimination between survivors and non-survivors (AUC 0.8829, 0.85 and 0.86, respectively). Conclusions: SOFA score has a higher sensitivity to predict 30-day postoperative mortality as compared to POSSUM and P-POSSUM. However, in absence of a control group of non-COVID-19 patients, actual risk attributable to COVID-19 infection could not be determined.


Subject(s)
COVID-19 , Adult , Humans , Retrospective Studies , Prognosis , Postoperative Period , Risk Assessment/methods , ROC Curve , Postoperative Complications/etiology , Severity of Illness Index
6.
2021 IJALS Symposium on Technological Advancement for Social Welfare: Contemporary Development and the Future Impact ; 2573, 2022.
Article in English | Scopus | ID: covidwho-2077223

ABSTRACT

The Covid-19 pandemic has impacted all aspects of human life, including education. Implementation of learning through virtual meetings is an alternative solution when face-to-face learning cannot be done. However, the implementation of learning through monotonous virtual meetings has the potential to cause eye fatigue for students. This study aims to determine the relationship between virtual meeting learning and eye fatigue experienced by students in participating in learning. This research is quantitative research with an analytical survey with a cross-sectional study design. The population in this study were all students in Gorontalo Province. The sample size was 105 students who were selected using a purposive sampling technique with several considerations from the researcher. The data was collected using a questionnaire made in the form of a google form. Data analysis using Chi-Square test. The results of the analysis show that virtual meetings are related to the fatigue experienced by students in participating in learning (p-value = 0.031). Fatigue can be avoided by replacing learning through virtual meetings with e-learning approaches, or other learning methods. © 2022 American Institute of Physics Inc.. All rights reserved.

7.
Journal of Clinical and Diagnostic Research ; 16(9):OC05-OC09, 2022.
Article in English | EMBASE | ID: covidwho-2067202

ABSTRACT

Introduction: Coronavirus Disease-2019 (COVID-19) had devastating effects on the healthcare and economic sector worldwide. India stands second in the list of most number of COVID-19 cases. Most of the deaths due to COVID-19 were seen in patients with associated co-morbidities like hypertension, diabetes, chronic kidney disease and obesity. This study would like to examine specific co-morbidities in relation to the COVID-19 disease progression and outcomes. Aim(s): To compare the clinicoradiological profile and outcome of COVID-19 in patients with and without co-morbidities (diabetes and hypertension). Material(s) and Method(s): The present observational, cross-sectional study was conducted at Jawaharlal Nehru Medical College, Aligarh, Uttar Pradesh between June 2020 to September 2020, after obtaining Institutional Ethics Committee (IEC) approval. A total of 148 patients with COVID-19 were included in the study. The COVID-19 patients admitted in the hospital were divided into four groups as those having only diabetes, only hypertension, both diabetes and hypertension, and those without any co-morbidities. Those with any other co-morbidity were excluded from the study. The general clinical characteristics, laboratory parameters, disease severity, morbidity and mortality were compared among various groups and the data was analysed. Categorical data were analysed using the Chi-square test. Result(s): A total of 148 patients with COVID-19 were included in the study, of which 26 patients were diabetic, 36 were hypertensive, 24 were both hypertensive and diabetic and 62 patients didn't had any significant co-morbidity. Severe COVID-19 disease was most commonly observed in those with diabetes (n=14) (53.8%). The highest proportion of patients requiring oxygen (84.6%) and Non Invasive Ventilator (NIV) support (46.1%) was also seen among diabetics. The presence of diabetes, severe disease and leukocytosis at presentation increased the risk of mortality. The association of hypertension with COVID-19 does not seem to affect the in-hospital mortality. Conclusion(s): COVID-19 in diabetics is associated with both increased risk of severe disease and increased odds of death. In diabetics, those with uncontrolled diabetes were more prone to severe disease and death than those with good glycaemic control. Hypertension, on the other hand, showed no association. Copyright © 2022 Journal of Clinical and Diagnostic Research. All rights reserved.

8.
Archives of Disease in Childhood ; 107(Supplement 2):A150-A151, 2022.
Article in English | EMBASE | ID: covidwho-2064024

ABSTRACT

Aims Hospital Miri is a district hospital with NICU that caters neonatal care service in Northern Sarawak. Preterm birth rate in our centre makes up of 10% (n=487) in 2019 and 11% (n=491) in 2020 of the live births, with mortality rate of 3% for preterm infants less than 33 weeks. According to WHO and Cochrane review (2016), Kangaroo mother care helps to reduce mortality, nosocomial infection, hypothermia, and improved growth and exclusive breastfeeding. Methods This is a retrospective observational study. Kangaroo Mother Care (KMC) Project was introduced in 2020 in Hospital Miri NICU as part of quality improvement project. Stable preterm infants with postmenstrual age 30 weeks to 34 weeks 6 days were enrolled with mother's consent into the project. It was carried out in 3 phases, with phase 1 of stable infants under room air or HFNC, phase 2 of stable infants on NIV and phase 3 with intubated infants. As COVID-19 endemic encroached, the project was put on hold at phase 2. Infants' demographic data was analysed using frequency and percentage. Outcomes were measured in mean, frequency and percentage. Maternal mental health score, knowledge score were taken prior to implementation of KMC and upon discharge. The mental health score is described as median and knowledge score is compared by wincoxon signed-rank test. Overall experience score was taken as median and mean. Results A total of 41 infants with the gestation of 32 to 34 weeks 6 days participated, 22 (53.7%) with majority of 41.5% aged 34 to 34 weeks 6 days post menstrual age at the time of enrolment. Mean length of stay was 38.34 days (SD:24.4), time taken to achieve birth weight was 11.4 days (SD: 4.05). Time taken to initiate breastfeeding range from 8 to 14 days to >22 days of life, mean: 24.78. Eighteen infants (43.9%) achieved exclusive breastfeeding on discharge. Mother's mental health, knowledge and experience were measures using Likert scale with the total score of 15 for mental health and 18 for knowledge and experience. For mental health score, pre-KMC median score:14, post-KMC median score was 15. There was improvement in the mother's experience upon discharge (p-value: <0.001). For overall experience, median was 18 with the mean score of 16.88 (SD:1.56). Conclusion Our study was suspended prematurely as per local pandemic control guideline. Knowing about the benefit of KMC to both mother and infants, we suggest that it should be encouraged and continued with adaptation and modification of the procedure during COVID-19 pandemic.

9.
Bali Medical Journal ; 11(2):638-645, 2022.
Article in English | Scopus | ID: covidwho-2056545

ABSTRACT

Background: The novel coronavirus disease (COVID-19) emerged in Wuhan, China, in December 2019. Since then, it has spread to 215 countries, and 42 million people around the globe are affected. The knowledge, attitudes, and practices (KAP) toward COVID-19 play a role in determining the acceptance of behavioral change measures from health authorities to suppress this pandemic status. The KAP on COVID-19 is also important among university students during the COVID-19 pandemic to mitigate the outbreak of COVID-19. Hence, this study aimed to determine the level of knowledge, attitudes and practices towards COVID-19 and its association with sociodemographic factors among nursing students of Universiti Malaysia Sabah. Methods: A cross-sectional, questionnaire-based study was conducted among the Year 1, Year 2 and Year 3 nursing students. The questionnaire consists of four parts: 1) demographics, which surveys participants’ sociodemographic information;2) knowledge about COVID-19;3) attitude towards COVID-19;and 4) practices relevant to COVID-19. Statistical Package for Social Science (SPSS) version 26.0 was used for data entry and analysis. Result: A total of 113 Nursing Students participated in the study. More than half of the respondents have good general knowledge and practices of COVID-19. However, only one in three respondents have positive attitudes towards COVID-19. Older age was associated with good knowledge about COVID-19 (p=0.02). Female (P=0.02) and high household income (P=0.02) has a better attitude towards COVID-19. However, no significant association between sociodemographic and practices towards COVID-19. Conclusion: Most of the respondents demonstrate a good level of knowledge and practices towards COVID-19 but not for attitudes. Sociodemographic characteristics such as younger, male respondents and those with lower-income families have inadequate knowledge and practices towards COVID-19. Hence, health education programs such as campaigns need to be conducted to increase the knowledge and encourage adequate preventive practice towards COVID-19 should be targeted towards this group. © 2022, Sanglah General Hospital. All rights reserved.

10.
Pakistan Journal of Science ; 73(5):539-545, 2021.
Article in English | CAB Abstracts | ID: covidwho-2034337

ABSTRACT

In this study eco-friendly antimicrobial finish was developed by Azadirachata indica, Butea monosperma and Litchi chinensis and then applied on 100% silk fabric. The effectiveness of antimicrobial finish was checked up to 25 washes. The antimicrobial finish was extracted from leaves of these plants and applied on silk fabric by using pad dry cure method. It is true experimental study with pre-test and post-test control group design. FTIR and SEM tests were used to observe the presence of antimicrobial finish on silk fabric. The antimicrobial finish was fixed on silk fabric by the use of poly urethane binder. The antimicrobial activity of treated and untreated fabric and durability to successive washes were assessed by using ASTEM E2149 shake flask method. The treated fabric with A. indica and B.monosperme showed 100% reduction in microorganism presence while L. chinensis revealed 60% reduction against microorganisms. The antimicrobial finish showed 100% reduction after successive laundring up to 25 washes. This fabric is beneficial for home furnishing, sportswear and footwear industry as well as in apparel sector such as in formal wear and making matching face mask against COVID-19 pandemic.

11.
Bali Medical Journal ; 11(2):934-938, 2022.
Article in English | Scopus | ID: covidwho-2025800

ABSTRACT

Introduction: Stress in nursing students has been documented in many studies and this will lead to various health problems. However, there is scanty research assessing the level of stress among nursing students during Covid-19 in Malaysia. Hence, this study aimed to assess the level of stress and its association with social and environmental factors amongst nursing students in Universiti Malaysia Sabah, Malaysia. Methods: A cross-sectional study was conducted by random sampling among nursing students in Universiti Malaysia Sabah between March and May 2021. The primary outcome was stress symptoms, derived from the validated Perceived Stress Scale-10 (PSS) questionnaire. Socio-demographic, social, and environmental factors were also assessed. T-test was used to assess the associations between level of stress and social and environmental factors. Results: A total of 115 responses were received with the mean (SD) age of the students being 20.5 (1.3) years old. Of all the students, 84.9% were female, 54.6% received financial support from National Higher Education Fund Corporation and 46.2% were in nursing Year 2 followed by the nursing year 1 (28.6%) and nursing year 3 (25.2%). The students in this study reported a higher level of stress. The students who reported most or all the time being trapped in a hostel (p<0.01), challenges of online classes (p=0.03), and catching up with class projects (p=0.03) had a higher level of stress compared to those who reported none or little or some of the factors. Conclusion: This study showed that social and environmental factors may play a role in determining the stress level among nursing students. Hence, authorities should foster supporting strategies to lower student stress and tackles the unwanted consequences. © 2022, Sanglah General Hospital. All rights reserved.

12.
Pharmaceutics ; 14(8)2022 Aug 21.
Article in English | MEDLINE | ID: covidwho-2023994

ABSTRACT

Developing new effective treatment strategies to overcome the rise in multi-drug resistant tuberculosis cases (MDR-TB) represents a global challenge. A host-directed therapy (HDT), acting on the host immune response rather than Mtb directly, could address these resistance issues. We developed an HDT for targeted TB treatment, using All Trans Retinoic Acid (ATRA)-loaded nanoparticles (NPs) that are suitable for nebulization. Efficacy studies conducted on THP-1 differentiated cells infected with the H37Ra avirulent Mycobacterium tuberculosis (Mtb) strain, have shown a dose-dependent reduction in H37Ra growth as determined by the BACT/ALERT® system. Confocal microscopy images showed efficient and extensive cellular delivery of ATRA-PLGA NPs into THP-1-derived macrophages. A commercially available vibrating mesh nebulizer was used to generate nanoparticle-loaded droplets with a mass median aerodynamic diameter of 2.13 µm as measured by cascade impaction, and a volumetric median diameter of 4.09 µm as measured by laser diffraction. In an adult breathing simulation experiment, 65.1% of the ATRA PLGA-NP dose was inhaled. This targeted inhaled HDT could offer a new adjunctive TB treatment option that could enhance current dosage regimens leading to better patient prognosis and a decreasing incidence of MDR-TB.

13.
Clin Drug Investig ; 42(10): 813-827, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-2000149

ABSTRACT

BACKGROUND: Although the Pfizer-BioNTech (BNT162b2), Oxford-AstraZeneca (ChAdOx1 nCoV-19), Sinopharm (BBIBP-CorV), and Sputnik V coronavirus disease 2019 (COVID-19) vaccines have been granted emergency approval in many nations, their safety has never been studied and compared in one community-based study. This study aimed to investigate and compare the incidence, nature, severity, and predictors of adverse events following immunization (AEFIs) with COVID-19 vaccines. METHOD: This was a prospective observational study conducted in Jordan between 1 January and 21 September 2021. A team of pharmacists and nurses (n = 407) collected the local and systemic AEFIs of four COVID-19 vaccines by prospectively contacting participants registered in the national vaccination program platform. A red-flag technology was inserted to classify and track rare and serious AEFIs. RESULTS: This study included 658,428 participants who were vaccinated with 1,032,430 doses; 610,591, 279,606, 140,843, and 1390 participants received the first and second doses of the BNT162b2, BBIBP-CorV, ChAdOx1 nCoV-19, and Sputnik V vaccines, respectively. The overall incidence of AEFIs was 28.8%, and the overall rates of systemic, local, and immediate hypersensitivity AEFIs were 22.2%, 18.8%, and 0.5%, respectively. The highest proportions of immediate hypersensitivity AEFIs and systemic AEFIs were reported after administration of the Sputnik V vaccine and ChAdOx1 nCoV-19 first dose, respectively. The most severe AEFIs were reported after ChAdOx1 nCoV-19 first dose and BNT162b2 second dose. The hospitalization and mortality rates after vaccination were 20 in 10,000 and 1 in 10,000, respectively. Based on red-flag tracking, the top three outcome events were lymphadenopathy (157.9/100,000), anxiety disorders (136.6/100,000), and lower respiratory tract infection (100.9/100,000), with Guillain-Barré syndrome (1.8/100,000), vasculitis (3.0/100,000), and myopericarditis (4.8/100,000) being the least common. CONCLUSION: The incidence rates of local, systemic, and immediate hypersensitivity AEFIs of four COVID-19 vaccines occur frequently. High incidence rates of rare and serious AEFIs were reported in this study. Younger participants, females, those who had previously had COVID-19, and smokers were more likely to encounter AEFIs.


Subject(s)
COVID-19 Vaccines , COVID-19 , Hypersensitivity, Immediate , Adverse Drug Reaction Reporting Systems , BNT162 Vaccine , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines/adverse effects , ChAdOx1 nCoV-19 , Female , Humans , Hypersensitivity, Immediate/chemically induced , Jordan/epidemiology , Vaccination/adverse effects , Vaccines/adverse effects
14.
Alexandria Engineering Journal ; 61(12):9661-9671, 2022.
Article in English | Web of Science | ID: covidwho-1885580

ABSTRACT

In this paper, we introduce a new class of statistical models to deal with the data sets in the sports and health sectors. The new class is called, a novel exponent power-Y (NovEP-Y) family of distributions. By implementing the NovEP-Y approach, a new model, namely, a novel exponent power-Weibull (NovEP-Weibull) distribution is introduced. Some distributional properties of the NovEP-Y family such as identifiability, order statistics, quantile function, and moments are obtained. The maximum likelihood estimators of the parameters are also derived. Furthermore, a brief Monto Carlo simulation study is conducted to evaluate the performances of the estimators. To show the applicability of the NovEP-Weibull model, two data sets from the sports and health sciences are considered. The first data set represents the time-to-even data collected from different football matches during the period 1964-2018. Whereas, the second data set is taken from the health sector, representing the survival times of the COVID-19 infected patients. Based on some well-known statistical tests, it is observed that the NovEP-Weibull model is a very competitive dis-tribution for modeling the data sets in the sports and health sectors. (c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).

15.
J Am Pharm Assoc (2003) ; 62(6): 1778-1785, 2022.
Article in English | MEDLINE | ID: covidwho-1867313

ABSTRACT

BACKGROUND: Although telemedicine services have been adopted on a large scale in the United Arab Emirates (UAE) during the coronavirus disease 2019 (COVID-19) pandemic, a little is known about the public experience. OBJECTIVES: This study aimed to investigate consumers' patterns, nature, and predictors of telemedicine utilization and consumers' attitude toward this technology. METHODS: A quantitative, self-administered questionnaire was developed, validated, and delivered randomly to adults living across the United Arab Emirates (UAE) between January 2021 and January 2022. The questionnaire included questions about categories of telemedicine used, purpose of use, challenges encountered during the use of telemedicine, and reasons for not using telemedicine technology. We adopted a proportionate random sampling technique to recruit participants by 3 ways: social media, phone calls, and face to face. RESULTS: The final dataset included 1584 participants, of which 496 (31.3%) used telemedicine during the coronavirus disease 2019 (COVID-19) pandemic. The most common reasons for not using telemedicine during COVID-19 was having no idea that telemedicine exists (38.3%, 417 of 1088) or having no idea how to use it (33.5%, 365 of 1088). Telemedicine users reported that that telepharmacy (89.7%), teleconsultation (78.2%), and telediagnosis (23.0%) were the most frequently used telemedicine services during the COVID-19 crisis. Of the 496 telemedicine users, 469 (94.6%) reported using telemedicine for seeking a pharmacist advice about medication instructions, 422 (85.1%) for ordering nonprescription drugs, and 401 (80.8%) for seeking a physician advice. Those with high activity on social media were less likely to be associated with telemedicine users versus nonusers. DISCUSSION: Although telepharmacy has been increasingly used by consumers, more attention is needed to fix its limitations and improve patient safety. CONCLUSION: This study shows a positive attitude and a general acceptance of telemedicine services among the UAE population. Some sociodemographic and clinical characteristics were significantly associated with the use of telemedicine during the pandemic.


Subject(s)
COVID-19 , Social Media , Telemedicine , Adult , Humans , COVID-19/epidemiology , SARS-CoV-2 , Pandemics , Telemedicine/methods
16.
Afr J Urol ; 27(1): 116, 2021.
Article in English | MEDLINE | ID: covidwho-1817172

ABSTRACT

BACKGROUND: Corona Virus Disease 2019 (COVID-19) has spread globally starting from late 2019. The WHO declared it a global pandemic in March 2020, causing nations around the world to introduce various control measures to halt the rapid spread of the disease, such as quarantines, lockdowns, and work from home (WFH) policies. These policies often force people to spend more time at home with their cohabitants, or possibly sexual partners. Various negative feelings experienced during those policies are considered to affect the general mood and sexual life of the population. This study aimed to investigate the difference in mood and sexual activity before and during the COVID-19 pandemic. METHODS: This research was a cross-sectional pilot study. Authors collected data from 131 randomly selected, sexually active volunteer subjects using a self-administered online questionnaire. Subjects' mood status, behavior, and frequency of sexual intercourse before and during COVID-19 pandemic in Indonesia were analyzed. RESULTS: Subjects consisted of 67 (51.1%) men and 64 (48.9%) women. Our analysis shows that there was a decline in overall mood scale, and also sexual activity frequency, before and during the pandemic (4.63 vs. 4.03; 80.2% vs. 67.9%, respectively). The COVID-19 pandemic control measures may enable subjects to have more time with their sexual partners at home, but it does not increase the frequency of their sexual activities. CONCLUSION: There was a slight decrease in overall mood scale and sexual activity frequency during the COVID-19 pandemic recorded among subjects. The authors suspect that depression symptoms, fear, anxiety, irritability, boredom, confusion, and feeling of being isolated experienced during strict pandemic control measures, caused by stressors such as job loss, decreased monthly income, and the current state of the pandemic are influencing these phenomena.

17.
Perspektivy Nauki i Obrazovania ; 55(1):607-619, 2022.
Article in English | Scopus | ID: covidwho-1776826

ABSTRACT

The problem and the aim of the study. Pre-service science teachers have to do some experiments to teach students to find scientific truth. As a result of COVID-19 and the distance learning situation, the unqualified experimental process is found in the ability of pre-service science teachers to discuss findings that lack the support of reliable data. This study aims to see the effectiveness of the online scientific argumentation strategy on the pre-service science teachers' scientific reasoning through a basic science experiment course during the COVID-19 pandemic. Research methods. The research method used is a mix-methods research design. The data were collected using scientific reasoning tests and interviews and analyzed quantitively and qualitatively. Participants in this study were pre-service science teachers at Universitas Negeri Semarang in Indonesia, consisting of 32 pre-service science teachers in the experimental class and 32 pre-service science teachers in the control class. Results. The essence of scientific argumentation is the delivery of ideas or statements accompanied by valid evidence by a group of people or individuals so that others can accept them. Considering the previous statement, the essence of the online scientific argumentation strategy is to deliver ideas or statements with valid and acceptable evidence through online media. The mean score for the experimental class is 9.9 and 8.5 for the control class. The mean score of pre-service science teachers' scientific reasoning with online scientific argumentation strategy is better than those without online scientific argumentation strategy. However, the number of correct answers for difficult essay questions is more significant than easy multiple-choice questions in some items. Therefore, an interview with pre-service science teachers who answered correctly was conducted. The respondents from the experimental class have no difficulty, while respondents from the control class have difficulty applying Archimedes' law and understanding questions with more than two variables. In conclusion, the implementation of the online scientific argumentation strategy effectively improves the pre-service science teachers' scientific reasoning through experiments at home during the COVID-19 outbreak. They learn to use the online scientific argumentation strategy in claims and evidence from the experiment results repeatedly to have proven new learning methods. For proper scientific reasoning, understanding is needed by integrating the data and facts so that the online scientific argumentation strategy becomes an alternative practical solution during a pandemic. This study will provide new insight into the online scientific argumentation strategy to improve scientific reasoning for universities. The results of this study may serve as a tool for further studies to explore other learning strategies to improve scientific reasoning or determine other skills that can be improved using the online scientific argumentation strategy. © 2022 LLC Ecological Help. All rights reserved.

18.
International Journal of Public Health Science ; 11(2):589-600, 2022.
Article in English | Scopus | ID: covidwho-1776665

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic, which originated from China, went global within weeks. At the time of writing, almost 300 million people around the world have been infected by this potent and fast-spreading disease, which in many cases has paralysed economies and normal daily activities. University students are among the people that have been badly affected by the pandemic, as the movement control order (MCO) has resulted in university closure. Hence, many students are unable to proceed with their regular studies and have to be extra vigilant in dealing with the pandemic. During the MCO period, they rely heavily on media for guidance and information. This study was conducted to examine media exposure, attitude, anxiety, and practices towards COVID-19 amongst the students of Universiti Pendidikan Sultan Idris (UPSI), Perak, Malaysia. A quantitative research design was used to achieve the research objective. A total of 505 respondents answered an online survey and the findings revealed that respondents were highly dependent on various media for updated information about the pandemic, with the majority of them anxious about their safety. These findings are useful for higher education institutions in developing a better learning environment for students and understand the impact of the pandemic on students. © 2022, Intelektual Pustaka Media Utama. All rights reserved.

19.
Hosp Pharm ; 57(5): 654-665, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1775094

ABSTRACT

Background: Because COVID-19 patients are vulnerable to prescribing errors (PEs) and adverse drug events, designing and implementing a new approach to prevent prescribing errors (PEs) involving COVID-19 patients has become a priority in pharmacotherapy research. Objectives: To investigate whether using WhatsApp to deliver prescribing error (PE)-related clinical scenarios to community pharmacists could enhance their ability to detect PEs and conduct successful pharmaceutical interventions (PIs). Methods: In this study, 110 community pharmacies were recruited from different regions across Jordan and equally allocated to 2 groups. Over the course of 4 weeks, WhatsApp was used to send PEs-related clinical case scenarios to the active group. The second group was controlled with no clinical scenarios. After completion of the 4-week phase, pharmacists from both groups were asked to document PEs in COVID-19 patients and their interventions using a data-collection form. Results: The incidence of PEs in COVID-19 patients documented in the active group (18.54%) was higher than that reported in the control group (3.09%) (P = .001). Of the 6598 and 968 PIs conducted by participants working in the active and control group pharmacies, 6013 (91.13%) and 651 (67.25%) were accepted, respectively. The proportions of wrong drug (contraindication), wrong drug (unnecessary drug prescribed/no proof of its benefits), and omission of a drug between the active and control groups were 15.30% versus 7.21% (P = .001), 11.85% versus 6.29% (P = .03), and 17.78% versus 10.50% (0.01), respectively. Additionally, the proportions of lethal, serious, and significant errors were 0.74% versus 0.35% (P = .04), 10.52% versus 2.57% (0.002), and 47.88% versus 9.57% (0.001), respectively. Addition of drug therapy interventions (AOR = 0.62; 95% CI, 0.21-0.84) and errors with significant clinical seriousness (AOR = 0.32; 95% CI, 0.16-0.64). Conclusions PEs involving COVID-19 patients in community settings are common and clinically significant. The intervention assessed in this study could be promising for designing a feasible and time-efficient interventional tool to encourage pharmacists' involvement in identifying and correcting PEs in light of COVID-19.

20.
Pakistan Journal of Medical and Health Sciences ; 6(1):1054-1057, 2022.
Article in English | EMBASE | ID: covidwho-1772277

ABSTRACT

A cluster of atypical pneumonia cases were reported in Wuhan china at the end of 2019. The disease was subsequently named covid-19. Later on it spread across the globe and WHO declared it as greatest pandemic of 21st century. Previous studies show that majority of the patients have hyponatremia, hypokalemia and hypochloremia. Recent study also suggests that the value of D-Dimer, ferritin and troponin I increasewhile O2 saturation drops in covid-19 patients.A cross sectional observational study was carried out in Peshawar Pakistan. A total of 195 patients above 18 years of age, confirmed through real time PCR were studied. Most of the patients have normal levels of electrolytes (Reference range of sodium 135-150mmol/L, potassium 3.5-5.1mmol/L, chloride 96-112mmol/L)while the patients with abnormal levels includedhyponatremic patients (having sodium level less than 135mmol/L), hyperkalemic patients (having potassium level higher than 5.1mmol/L) and hypochloremic patients (having chloride level less than 96mmol/L). The abnormal level of electrolytes is due to renal abnormalities. An association of O2 saturation exists with ferritin and D-Dimer. The level ofTroponin I raisestwofold in COVID-19 patients, which is an important circulatory biomarker associated with myocardial injury.

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