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1.
Polish Psychological Bulletin ; 53(3):171-176, 2022.
Article in English | Scopus | ID: covidwho-2250013

ABSTRACT

This study aims to test the effectiveness of online Mindfulness-Based Cognitive Therapy in increasing the resilience of Covid-19 patients. It has applied a website-based cyberpsychology approach to providing Mindfulness-Based Cognitive Therapy interventions. The online program was delivered over six sessions. These were carried out across four meetings, each of which lasted 30-120 minutes. The study is pre-experimental, using a single group pre-test to post-test experimental design. There were 5 patient participants with Covid-19, 1 male and 4 female. They were aged 20-27 years. All were either asymptomatic or presented only mild symptoms. The Connor Davidson Resilience Scale (CD-RISC) was used to measure pre- to post-intervention change in resilience, and a negative emotion scale was used to derive emotion ratings after each session. Results were analysed using a Wilcoxon signed-rank test. This showed a value of Z = -2.023 (p < 0.05), with a mean rank of 3.00, and a sum of ranks of 15.00. The analysis indicates that online Mindfulness-Based Cognitive Therapy can significantly increase resilience in Covid-19 patients. © 2022 Polish Academy of Sciences. All rights reserved.

2.
Revista Iberoamericana de Psicologia del Ejercicio y el Deporte ; 17(3):87-90, 2022.
Article in English | Scopus | ID: covidwho-1980202

ABSTRACT

The study aims to test the effectiveness of the online Mindfulness-Based Cognitive Therapy in increasing the resilience of the Covid-19 patients through a cyberpsychology approach in the form of a website as a digitalization medium in providing Mindfulness-Based Cognitive Therapy interventions to the Covid-19 patients. The Mindfulness-Based Cognitive Therapy online program consists of six sessions and is carried out in four meetings of 30-120 minutes per meeting. The study is pre-experimental research using one group pretestposttest experimental design. The study participants were 5 Covid-19 patients with mild and asymptomatic symptoms, males and females aged 20-27 years. The scale used as a measuring tool is the Connor Davidson Resilience Scale (CD-RISC). The hypothesis test results using analysis Wilcoxon signed-rank test showed a value of Z = -2.023 (p<0.05), positive ranks with a mean rank of 3.00, and the sum of ranks 15.00. Thus, it indicates that online Mindfulness-Based Cognitive Therapy can increase the resilience of the Covid-19 patients significantly. © 2022

3.
IEEE International Instrumentation and Measurement Technology Conference (I2MTC) ; 2021.
Article in English | Web of Science | ID: covidwho-1978391

ABSTRACT

Sleep problem is currently a norm for many people, especially during this Covid-19 pandemic. Due to the limited number of sleep medicine studies, most people were unaware and just ignored their sleep problems. The use of polysomnography (PSG) in sleep medicine is quite popular, but due to its disturbance towards the subjects, it may decrease the subjects' sleep quality and may affect the result accuracy since it needs to be attached to the subjects' body. This work proposed a smart alarm based on the sleep cycle using speech analysis that uses a non-contact device, which is an undirected microphone of the Google AIY Voice Kit with Raspberry Pi. The microphone will be used to record the subjects' sleep sounds and detect the subjects' sleep cycle. The system will trigger a speaker attached to the Google Voice Kit to produce a sound to wake up the subject when they complete a particular sleep cycle according to their preference. Results showed that the system could detect sounds when subjects were sleeping and show a subject's sleep pattern. Whenever the subject past specific minutes, the sound amplitude is increased by 3 dB. These results indicate that subject is likely having their REM stages, and after 10 minutes, the subject will complete a sleep cycle.

4.
New Microbes New Infect ; 37: 100734, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-728786

ABSTRACT

As an underdeveloped country, the coronavirus disease 2019 (COVID-19) epidemic has posed a major risk to the health and economy of Pakistan. The SIR (susceptible-infected-recovered) model of epidemiologic analysis predicts that there should have been more cases since late March 2020 in Pakistan. We therefore sought to investigate COVID-19's prevalence and epidemiologic trends in Pakistan. Research for COVID-19 is still in its early stages, so data were collected from official websites and research journals, then analyzed for the disease's prevalence, epidemiology, mortality and recoveries. The results indicated that a rapid increase had indeed occurred in the number of COVID-19 infections in Pakistan, with the first case reported on 25 February, 2020. From 25 February 25 to April, 2020, COVID-19 infected 11,155 people in Pakistan, with 237 deaths (2.12%) and 2527 recoveries (19.96%). We found a statistically significant positive correlation between the prevalence of COVID-19 and the mortality ratio (r = 0.983, r 2 = 0.966; p ≤ 0.05). We concluded that proper management must be undertaken to improve the quarantine system, and the World Health Organization guidelines must be closely followed to cope with COVID-19. There is no vaccine for COVID-19, so antiviral drugs (interferon alfa, ribavirin) may be useful to prevent COVID-19; however, severe control measures implemented in China have significantly mitigated the spread of COVID-19. Suspected and confirmed cases must be treated in separate rooms. Staying home and social distancing are the safe way to proceed.

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