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1.
Adv Pharmacol Pharm Sci ; 2022, 2022.
Article in English | PubMed Central | ID: covidwho-2194216

ABSTRACT

Background: The outbreak of COVID-19 and subsequent lockdown worldwide have shown a psychological impact among healthcare workers. However, data on the psychological impact among community pharmacists are lacking in the Nepalese context. Aim: This study aimed to assess the psychological distress among community pharmacists during COVID-19 pandemic. Settings and Design. A cross-sectional analytical design was adopted to study the psychological distress of pharmacists working in community pharmacies in Bharatpur. Materials and Methods: Purposive sampling method was used to select 172 community pharmacists. The COVID-19 peritraumatic distress index (CPDI) questionnaire adapted from the Shanghai Mental Health Centre was used to measure psychological distress. Statistical Analysis. Data were analyzed using Statistical Package for Social Sciences (SPSS) version 20. Descriptive statistics (mean, standard deviation, percentage) and inferential statistics (chi-square and logistic regression) were used. Results: Out of 172 respondents, 77.9% were severely distressed while 22.1% were mild to moderately distressed due to COVID-19 pandemic. Mean age of the respondents was 27.81 ± 6.35 years. Logistic regression revealed that having education of bachelor and above (AOR = 4.489, 95% CI: 1.747, 11.539), 8 or more working hours (AOR = 7.633, 95% CI: 2.729, 21.352), being unsatisfied with the job (AOR = 11.524, 95% CI: 3.574, 37.158), and having experience of more than 3 years (AOR = 2.857, 95% CI: 1.060, 7.702) were found significantly linked to severe psychological distress among community pharmacists in Bharatpur. Conclusion: All respondents had suffered from some degree of psychological distress due to the pandemic. Our findings reveal the need for psychological intervention to alleviate psychological distress among pharmacists.

2.
Cureus ; 14(11):e31554, 2022.
Article in English | MEDLINE | ID: covidwho-2203306

ABSTRACT

Perimyocarditis is the inflammation of the pericardium along with the myocardium. Presentation is similar to acute pericarditis, but it is associated with myocardial damage, leading to an elevation in serum troponin and a left ventricular dysfunction (manifested as an ejection fraction of less than 55 percent). Perimyocarditis is mostly managed like acute myocarditis. Etiology is generally idiopathic and likely secondary to viral infections. Cases of vaccine-associated myocarditis have been infrequently reported in past, most recently with the COVID-19 mRNA vaccine. We present a rare case of a young healthy adolescent male who developed perimyocarditis after the first booster dose of the COVID-19 mRNA vaccine.

3.
IEEE Transactions on Big Data ; : 1-15, 2022.
Article in English | Scopus | ID: covidwho-2052080

ABSTRACT

Tracking the evolution of clusters in social media streams is becoming increasingly important for many applications, such as early detection and monitoring of natural disasters or pandemics. In contrast to clustering on a static set of data, streaming data clustering does not have a global view of the complete data. The local (or partial) view in a high-speed stream makes clustering a challenging task. In this paper, we propose a novel density peak based algorithm, <monospace>TStream</monospace>, for tracking the evolution of clusters and outliers in social media streams, via the evolutionary actions of cluster adjustment, emergence, disappearance, split, and merge. <monospace>TStream</monospace> is based on a temporal decay model and text stream summarisation. The decay model captures the decreasing importance of textual documents over time. The stream summarisation compactly represents them with the help of cells (aka micro-clusters) in the memory. We also propose a novel efficient index called shared dependency tree (aka SD-Tree) based on the ideas of density peak and shared dependency. It maintains the dynamic dependency relationships in <monospace>TStream</monospace> and thereby improves the overall efficiency. We conduct extensive experiments on five real datasets. <monospace>TStream</monospace> outperforms the existing state-of-the-art solutions based on <monospace>MStream</monospace>, <monospace>MStreamF</monospace>, <monospace>EDMStream</monospace>, <monospace>OSGM</monospace>, and <monospace>EStream</monospace>, in terms of cluster mapping measure (CMM) by up to 17.8%, 18.6%, 6.9%, 16.4%, and 20.1%, respectively. It is also significantly more efficient than <monospace>MStream</monospace>, <monospace>MStreamF</monospace>, <monospace>OSGM</monospace>, and <monospace>EStream</monospace>, in terms of response time and throughput. IEEE

4.
IEEE Transactions on Services Computing ; 15(3):1175-1177, 2022.
Article in English | Scopus | ID: covidwho-1932149
5.
2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1874716

ABSTRACT

The COVID-19 pandemic continues to affect the daily life of college students, impacting their social life, education, stress levels and overall mental well-being. We study and assess behavioral changes of N=180 undergraduate college students one year prior to the pandemic as a baseline and then during the first year of the pandemic using mobile phone sensing and behavioral inference. We observe that certain groups of students experience the pandemic very differently. Furthermore, we explore the association of self-reported COVID-19 concern with students' behavior and mental health. We find that heightened COVID-19 concern is correlated with increased depression, anxiety and stress. We evaluate the performance of different deep learning models to classify student COVID-19 concerns with an AUROC and F1 score of 0.70 and 0.71, respectively. Our study spans a two-year period and provides a number of important insights into the life of college students during this period. © 2022 Owner/Author.

6.
23rd ACM International Conference on Multimodal Interaction, ICMI 2021 ; : 425-434, 2021.
Article in English | Scopus | ID: covidwho-1526538

ABSTRACT

Pandemics significantly impact human daily life. People throughout the world adhere to safety protocols (e.g., social distancing and self-quarantining). As a result, they willingly keep distance from workplace, friends and even family. In such circumstances, in-person social interactions may be substituted with virtual ones via online channels, such as, Instagram and Snapchat. To get insights into this phenomenon, we study a group of undergraduate students before and after the start of COVID-19 pandemic. Specifically, we track N=102 undergraduate students on a small college campus prior to the pandemic using mobile sensing from phones and assign semantic labels to each location they visit on campus where they study, socialize and live. By leveraging their colocation network at these various semantically labeled places on campus, we find that colocations at certain places that possibly proxy higher in-person social interactions (e.g., dormitories, gyms and Greek houses) show significant predictive capability in identifying the individuals' change in social media usage during the pandemic period. We show that we can predict student's change in social media usage during COVID-19 with an F1 score of 0.73 purely from the in-person colocation data generated prior to the pandemic. © 2021 ACM.

7.
Journal of Young Pharmacists ; 13(2):91-96, 2021.
Article in English | Web of Science | ID: covidwho-1346681

ABSTRACT

The novel coronavirus was renamed as coronavirus disease 2019 (COVID-19) by the world health organization, began its spread in December 2019, in the city of Wuhan, China. Global bodies and governments weren't prepared to handle the impact of the virus on society. Nepal's landlocked nation encountered its incident confirmed case of COVID-19 during the first week of January, with the primary host being a student with a travel history from its place of inception. The nation is deficient in its health resources. The country mainly focused on the stringent implementation of washing of hands, wearing masks, restricting general movement, and maintaining social distancing in public. The disease transmission reached to the third stage, which began within three months after the confirmation of the first case of COVID-19. The lack of tropical hospitals, laboratory and diagnostic facilities added to the challenges faced by the country. This paper is a comprehensive review of the overall preparation and steps taken by the federal system of Nepal to combat the virus's effects till the third stage of transmission. It concludes with the practical limitations faced by the governing authorities of the nation while implementing these measures.

8.
Leprosy Review ; 92(1):92-93, 2021.
Article in English | EMBASE | ID: covidwho-1215928
9.
Current Psychiatry Research and Reviews ; 16(3):158-166, 2020.
Article in English | Scopus | ID: covidwho-1076373

ABSTRACT

Background: The novel coronavirus disease outbreak of 2019 was declared as a public health emergency by the World Health Organization. At present, the virus has spread throughout the world, leading to millions of cases and is further increasing. Objective: The main objective of this study is to review the impact of Corona Virus Disease 2019 (COVID-19) on the mental health of frontline workers, isolated and quarantined people and the general population. Methods: The relevant articles were extracted from PubMed, Web of Science and Science Direct database by using the keywords “Mental health”, “COVID-19”, “Impact of COVID-19”, “Frontline workers”, “Quarantine”, “Isolation”, “Immunity” and “Economy”. The retrieved articles were included in the study based on inclusion criteria to perform the review. All the selected scientific articles were critically reviewed and the information is summarized in this narrative review. Results: The majority of the studies stated that frontline health workers were at an increased risk of depression. The infected, suspects and quarantined people were reported with high stress, post-traumatic stress disorder, and suicidal thoughts. The pandemic has devastated the world’s economy, which has severely impacted global mental health. Conclusion: Mental health should be taken into account, and necessary interventional initiatives need to be considered both by the health authorities and the government to minimize the adversity of the consequences. The pandemic may disappear with the discovery of new vaccines or medications, but its negative impact on mental health may persist, particularly among vulnerable populations. Thus, mental health must be a matter of concern in the present scenario. © 2020 Bentham Science Publishers.

10.
Tourism Geographies ; 22(3):646-650, 2020.
Article in English | CAB Abstracts | ID: covidwho-829232

ABSTRACT

It is argued that the COVID-19 pandemic has given the global adventure tourism industry an opportunity to reset. The adventure travel sector has the opportunity for turning its attention away from haphazard development to one that repositions itself as a major partner in contributing to sustainable and mindful travel.

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