Displaying publications 21 - 40 of 927 in total

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  1. Yu L, Abd Ghani MK, Aghemo A, Barh D, Bassetti M, Catena F, et al.
    Curr Med Chem, 2023;30(39):4390-4408.
    PMID: 36998130 DOI: 10.2174/0929867330666230330092725
    The COVID-19 pandemic, caused by the coronavirus, SARS-CoV-2, has claimed millions of lives worldwide in the past two years. Fatalities among the elderly with underlying cardiovascular disease, lung disease, and diabetes have particularly been high. A bibliometrics analysis on author's keywords was carried out, and searched for possible links between various coronavirus studies over the past 50 years, and integrated them. We found keywords like immune system, immunity, nutrition, malnutrition, micronutrients, exercise, inflammation, and hyperinflammation were highly related to each other. Based on these findings, we hypothesized that the human immune system is a multilevel super complex system, which employs multiple strategies to contain microorganism infections and restore homeostasis. It was also found that the behavior of the immune system is not able to be described by a single immunological theory. However, one main strategy is "self-destroy and rebuild", which consists of a series of inflammatory responses: 1) active self-destruction of damaged/dysfunctional somatic cells; 2) removal of debris and cells; 3) rebuilding tissues. Thus, invading microorganisms' clearance could be only a passive bystander response to this destroy-rebuild process. Microbial infections could be self-limiting and promoted as an indispensable essential nutrition for the vast number of genes existing in the microorganisms. The transient nutrition surge resulting from the degradation of the self-destroyed cell debris coupled with the existing nutrition state in the patient may play an important role in the pathogenesis of COVID-19. Finally, a few possible coping strategies to mitigate COVID-19, including vaccination, are discussed.
    Matched MeSH terms: Pandemics
  2. Yu CY, Chan KG, Yean CY, Ang GY
    Diagnostics (Basel), 2021 Jan 01;11(1).
    PMID: 33401392 DOI: 10.3390/diagnostics11010053
    The coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) began as a cluster of pneumonia cases in Wuhan, China before spreading to over 200 countries and territories on six continents in less than six months. Despite rigorous global containment and quarantine efforts to limit the transmission of the virus, COVID-19 cases and deaths have continued to increase, leaving devastating impacts on the lives of many with far-reaching effects on the global society, economy and healthcare system. With over 43 million cases and 1.1 million deaths recorded worldwide, accurate and rapid diagnosis continues to be a cornerstone of pandemic control. In this review, we aim to present an objective overview of the latest nucleic acid-based diagnostic tests for the detection of SARS-CoV-2 that have been authorized by the Food and Drug Administration (FDA) under emergency use authorization (EUA) as of 31 October 2020. We systematically summarize and compare the principles, technologies, protocols and performance characteristics of amplification- and sequencing-based tests that have become alternatives to the CDC 2019-nCoV Real-Time RT-PCR Diagnostic Panel. We highlight the notable features of the tests including authorized settings, along with the advantages and disadvantages of the tests. We conclude with a brief discussion on the current challenges and future perspectives of COVID-19 diagnostics.
    Matched MeSH terms: Pandemics
  3. Younis I, Hkiri B, Shah WU, Qureshi F, Ilyas M, Longsheng C
    Environ Sci Pollut Res Int, 2023 Feb;30(9):22430-22457.
    PMID: 36287363 DOI: 10.1007/s11356-022-23408-8
    Various empirical studies have examined the nexus between financial markets, but this study focused on the comovement among prominent markets. Our study examines the interrelationship among main financial markets, i.e., stock, oil, and commodity during the recent pandemic. The interconnections among the selected markets are investigated using a battery of wavelet coherence tools and the Granger causality test. From the wavelet coherence analysis, our findings indicate strong co-movements among the VIX, oil volatility, and commodity prices during pandemic and localized in all scales and over the sample period. The dependency strength among the considered economies is noted to increase in pandemic, which implies increased short- and long-term benefits for the investors. Moreover, Our result exhibits a feedback causality between OVIX and crude oil, VIX and S&P 500, and gasoline and VIX. Interestingly, a unidirectional causality exists between VIX and crude oil, S&P 500 and crude oil, Brent and crude oil, gasoline, crude oil, and VIX and OVIX. We advocate that the findings will be helpful for portfolio managers, investors, and officials around the world.
    Matched MeSH terms: Pandemics
  4. Yigitcanlar T, Butler L, Windle E, Desouza KC, Mehmood R, Corchado JM
    Sensors (Basel), 2020 May 25;20(10).
    PMID: 32466175 DOI: 10.3390/s20102988
    In recent years, artificial intelligence (AI) has started to manifest itself at an unprecedented pace. With highly sophisticated capabilities, AI has the potential to dramatically change our cities and societies. Despite its growing importance, the urban and social implications of AI are still an understudied area. In order to contribute to the ongoing efforts to address this research gap, this paper introduces the notion of an artificially intelligent city as the potential successor of the popular smart city brand-where the smartness of a city has come to be strongly associated with the use of viable technological solutions, including AI. The study explores whether building artificially intelligent cities can safeguard humanity from natural disasters, pandemics, and other catastrophes. All of the statements in this viewpoint are based on a thorough review of the current status of AI literature, research, developments, trends, and applications. This paper generates insights and identifies prospective research questions by charting the evolution of AI and the potential impacts of the systematic adoption of AI in cities and societies. The generated insights inform urban policymakers, managers, and planners on how to ensure the correct uptake of AI in our cities, and the identified critical questions offer scholars directions for prospective research and development.
    Matched MeSH terms: Pandemics*
  5. Yew SQ, Trivedi D, Adanan NIH, Chew BH
    BMJ Open, 2024 Jan 31;14(1):e078508.
    PMID: 38296272 DOI: 10.1136/bmjopen-2023-078508
    INTRODUCTION: The implementation of digital health technologies (DHTs) in hospitals worldwide has been uneven since the COVID-19 pandemic. Ambiguity in defining the landscape of DHTs adds to the complexity of this process. To address these challenges, this scoping review aims to identify the facilitators and barriers of implementing DHTs in hospitals in lower-income and middle-income countries (LMIC) since COVID-19, describe the DHTs that have been adopted in hospital settings in LMIC during this period, and develop a comprehensive classification framework to define the landscape of DHTs implemented in LMIC.

    METHODS AND ANALYSIS: We will conduct a systematic search in PubMed, Scopus, Web of Science and grey literature. Descriptive statistics will be used to report the characteristics of included studies. The facilitators and barriers to DHTs implementation, gathered from both quantitative and qualitative data, will be synthesised using a parallel-results convergent synthesis design. A thematic analysis, employing an inductive approach, will be conducted to categorise these facilitators and barriers into coherent themes. Additionally, we will identify and categorise all available DHTs based on their equipment types and methods of operation to develop an innovative classification framework.

    ETHICS AND DISSEMINATION: Formal ethical approval is not required, as primary data collection is not involved in this study. The findings will be disseminated through peer-reviewed publications, conference presentations and meetings with key stakeholders and partners in the field of digital health.

    Matched MeSH terms: Pandemics
  6. Yelamanchi R, Agrawal H, Durga CK
    Malays J Med Sci, 2020 Dec;27(6):187-189.
    PMID: 33447144 DOI: 10.21315/mjms2020.27.6.16
    Breast complaints are a very common cause of healthcare visits in the female population. They range in severity from benign to malignant, and treatment options vary from simple observation to mastectomy. As healthcare facilities are overburdened with coronavirus disease 2019 (COVID-19) patients, properly triaging patients diagnosed with breast disorders is necessary for the optimal use of limited resources in developing countries. We are proposing a concise triage system for timely intervention among patients with breast disorders during the havoc of the COVID-19 pandemic.
    Matched MeSH terms: Pandemics
  7. Yasin RM, Tan MP, Said MA, Rasul MS, Thangiah N, Rizal H, et al.
    Front Public Health, 2024;12:1164056.
    PMID: 38504686 DOI: 10.3389/fpubh.2024.1164056
    INTRODUCTION: Education improves the economy and quality of life. The availability of skilled education in Malaysia is not restricted to the younger generation but is available to people of all ages, including those with low incomes.

    METHODS: This study used the EuroQol 5-Dimension 5-Level (EQ- 5D-5L) tool during the COVID-19 pandemic to examine relationships between socio-demographics, knowledge, and attitudes towards education and outcomes of health-related quality of life (HRQOL). Between September and October 2020 and January and February 2021, a cross-sectional study using a multi-stage sampling technique was carried out.

    RESULTS: A total of 1,997 adults participated, with a mean age of 45.17 (SD 14.113). In total, 74.9% had good knowledge, while 59.8% had a positive attitude towards skill education. In univariate analyses, the EQ-5D-5L score was related to age, income, education level, marital status, employment status, financial strain level, and knowledge and attitude towards skilled education. Generalised linear model analyses demonstrated that lower EQ-5D-5L scores were associated with older age, financial constraints, and a negative attitude towards skills education. However, additional adjustments for knowledge and attitude towards skills education show only an increase in age and financial strain was significant.

    CONCLUSION: The findings suggest that appropriate strategies be implemented to increase low-income populations' knowledge and attitude towards skill education. Improving education may improve the quality of life for this vulnerable group. Additionally, a qualitative study can be conducted to determine the barriers to low-income households participating in skilled education to fill in the knowledge gap.

    Matched MeSH terms: Pandemics
  8. Yashavantha Rao HC, Siddeeqh S, Taqui SN
    Int J Clin Pract, 2021 Jun;75(6):e14141.
    PMID: 33715304 DOI: 10.1111/ijcp.14141
    The current global pandemic COVID-19 challenges oncologists to reorganise cancer care in order to strikingly reduce hospital visits and admissions. Cancer patients are more susceptible to infections and likely to get severe consequences compared with other patients. Health-care facility services are quickly changing their systems and workflow in response to the global pandemic COVID-19 crisis. These alterations mitigate infection risks and give profound effects on crucial aspects of care, including patients with cancer. Here, we discuss the current situations and a roadmap for cancer care during the COVID-19 crisis. In the prevalence of global cancer and higher transmission of pandemic COVID-19, there is an urgent need to realise the effect of SARS-CoV-2 infection and their related life-threatening outcomes specifically for cancer patients.
    Matched MeSH terms: Pandemics/prevention & control
  9. Yap MKK
    Biochem Mol Biol Educ, 2023 Jan;51(1):77-80.
    PMID: 36194083 DOI: 10.1002/bmb.21680
    Experiential learning is compromised in meeting the educational demands of our students during the challenging time of the COVID-19 pandemic. A more inclusive, flexible, and objective-oriented experiential learning environment is required. In this context, module-based experiential learning that is executable on a digital platform was designed. The learning module focused on protein biochemistry, contained a combination of asynchronous and synchronous activities categorized into 'Knowledge Hub' and 'Lab-based Movie', across 5 weeks. Digital and module-based experiential learning provides equitable, inclusive, and flexible access to students at remote locations. Furthermore, it is an objective-oriented and highly organized experiential learning framework that encourages students to engage and participate more in the learning process.
    Matched MeSH terms: Pandemics
  10. Yap JKY, Moriyama M, Iwasaki A
    J Immunol, 2020 Jul 15;205(2):307-312.
    PMID: 32493814 DOI: 10.4049/jimmunol.2000513
    The inflammatory response to severe acute respiratory syndrome-related coronavirus 2 infection has a direct impact on the clinical outcomes of coronavirus disease 2019 patients. Of the many innate immune pathways that are engaged by severe acute respiratory syndrome-related coronavirus 2, we highlight the importance of the inflammasome pathway. We discuss available pharmaceutical agents that target a critical component of inflammasome activation, signaling leading to cellular pyroptosis, and the downstream cytokines as a promising target for the treatment of severe coronavirus disease 2019-associated diseases.
    Matched MeSH terms: Pandemics
  11. Yang J, Peng MY, Wong S, Chong W
    Front Psychol, 2021;12:584976.
    PMID: 33868072 DOI: 10.3389/fpsyg.2021.584976
    The COVID-19 pandemic at the beginning of 2020 has changed the conventional learning mode for most students at schools all over the world, and the e-learning at home has become a new trend. Taking Chinese college students as the research subject and drawing on the stimulus-organism-response (S-O-R) model, this paper examines the relationship between the peer referent, perceived closeness, and perceived control and the learning engagement. Using data from 377 college students who have used e-learning, this study shows that perceived closeness, perceived control, and peer referents in e-learning have a positive effect on the self-efficacy and well-being of students, thus improving students' enthusiasm for learning. Our intent is to assist researchers, instructors, designers, and others in identifying effective methods to conceptualize and measure student engagement in e-learning.
    Matched MeSH terms: Pandemics
  12. Yan Y, Shin WI, Pang YX, Meng Y, Lai J, You C, et al.
    PMID: 32235575 DOI: 10.3390/ijerph17072323
    The recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, previously known as 2019-nCoV) outbreak has engulfed an unprepared world amidst a festive season. The zoonotic SARS-CoV-2, believed to have originated from infected bats, is the seventh member of enveloped RNA coronavirus. Specifically, the overall genome sequence of the SARS-CoV-2 is 96.2% identical to that of bat coronavirus termed BatCoV RaTG13. Although the current mortality rate of 2% is significantly lower than that of SARS (9.6%) and Middle East respiratory syndrome (MERS) (35%), SARS-CoV-2 is highly contagious and transmissible from human to human with an incubation period of up to 24 days. Some statistical studies have shown that, on average, one infected patient may lead to a subsequent 5.7 confirmed cases. Since the first reported case of coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 on December 1, 2019, in Wuhan, China, there has been a total of 60,412 confirmed cases with 1370 fatalities reported in 25 different countries as of February 13, 2020. The outbreak has led to severe impacts on social health and the economy at various levels. This paper is a review of the significant, continuous global effort that was made to respond to the outbreak in the first 75 days. Although no vaccines have been discovered yet, a series of containment measures have been implemented by various governments, especially in China, in the effort to prevent further outbreak, whilst various medical treatment approaches have been used to successfully treat infected patients. On the basis of current studies, it would appear that the combined antiviral treatment has shown the highest success rate. This review aims to critically summarize the most recent advances in understanding the coronavirus, as well as the strategies in prevention and treatment.
    Matched MeSH terms: Pandemics/prevention & control*
  13. Yahya NFS, Teng NIMF, Shafiee N, Juliana N
    PMID: 34682652 DOI: 10.3390/ijerph182010915
    Breastfeeding is the best form of feeding for premature infants. However, mothers with premature delivery are frequently reported to be depressed, and this has been especially the case during the Coronavirus Disease-2019 (COVID-19) pandemic. We aimed to measure the level of breastfeeding attitude and its association with postpartum depression among mothers with premature infants in the Neonatal Intensive Care Unit (NICU) during the COVID-19 pandemic. A total of 248 mothers with a premature infant were observed in this cross-sectional study from the chosen NICUs of government hospitals in Selangor, Malaysia. The Iowa Infant Feeding Attitude Score (IIFAS) and the Edinburgh Postnatal Depression Scale, along with sociodemographic questionnaires, were used to obtain information on the mothers' attitudes towards breastfeeding and the risk of postpartum depression. A higher percentage of mothers had a positive attitude towards breastfeeding (64.9%), with a mean IIFAS score of 66.30 ± 6.92. Meanwhile, about 27% of mothers with premature infants were reported to have high risk of depressive symptoms. Mothers with a high risk of depression were less likely to have a positive attitude towards breastfeeding (OR 0.37, 95% CI 0.199, 0.675) as compared to mothers with a low risk of depression (p < 0.01). We found that there is an association between the risk of depression and the attitude towards breastfeeding. Early identification of maternal mental health problems should be addressed to ensure the willingness of mothers to continue breastfeeding.
    Matched MeSH terms: Pandemics
  14. Xueyun Z, Al Mamun A, Masukujjaman M, Rahman MK, Gao J, Yang Q
    Sci Rep, 2023 Sep 18;13(1):15438.
    PMID: 37723179 DOI: 10.1038/s41598-023-42591-3
    The phenomenon of "quiet quitting" has gained significant attention globally through various platforms, raising concerns about the impact of workplace stress on individuals' personal lives and sparking social movements and investigations. As the number of Generation Z individuals is projected to surpass millennials by 2050, understanding and addressing the quiet quitting behaviour of this generation becomes crucial, considering their negative experiences during the COVID-19 pandemic and their preference for a work-life balance, which has led to a rejection of intense competition and a desire for a more relaxed lifestyle. Thus, this study investigated the factors (work conditions, job security, perceived career development opportunities, affective organizational commitment, and perceived organizational support on job burnout and employee well-being) determining the quiet quitting intention among Chinese Gen Z employees. It used an online survey to obtain cross-sectional data from 683 respondents, which were then tested using partial least squares structural equation modelling. The results showed that work conditions, job security, perceived career progression opportunities, affective organizational commitment, and perceived organizational support had a significant positive effect on employee well-being and that job burnout had a major negative effect. Furthermore, employee well-being had a significant negative impact on China's Gen Z employees' quit quiting decision and job burnout had a significant positive influence on China's Gen Z employees' quit quiting decision. The findings provide valuable insights for organizations and practitioners, enabling them to address these factors and effectively reduce quiet quitting intentions. Moreover, this study aligns with the Social Exchange Theory (SET), which explains how the interactions between employees and their organizations influence expectations and outcomes. By considering the SET framework, organizations can understand the motivations behind employees' behaviours and make informed decisions to foster a positive work environment and enhance employee well-being.
    Matched MeSH terms: Pandemics
  15. Xiu L, Binder RA, Alarja NA, Kochek K, Coleman KK, Than ST, et al.
    J Clin Virol, 2020 07;128:104391.
    PMID: 32403008 DOI: 10.1016/j.jcv.2020.104391
    BACKGROUND: During the past two decades, three novel coronaviruses (CoVs) have emerged to cause international human epidemics with severe morbidity. CoVs have also emerged to cause severe epidemics in animals. A better understanding of the natural hosts and genetic diversity of CoVs are needed to help mitigate these threats.

    OBJECTIVE: To design and evaluate a molecular diagnostic tool for detection and identification of all currently recognized and potentially future emergent CoVs from the Orthocoronavirinae subfamily.

    STUDY DESIGN AND RESULTS: We designed a semi-nested, reverse transcription RT-PCR assay based upon 38 published genome sequences of human and animal CoVs. We evaluated this assay with 14 human and animal CoVs and 11 other non-CoV respiratory viruses. Through sequencing the assay's target amplicon, the assay correctly identified each of the CoVs; no cross-reactivity with 11 common respiratory viruses was observed. The limits of detection ranged from 4 to 4 × 102 copies/reaction, depending on the CoV species tested. To assess the assay's clinical performance, we tested a large panel of previously studied specimens: 192 human respiratory specimens from pneumonia patients, 5 clinical specimens from COVID-19 patients, 81 poultry oral secretion specimens, 109 pig slurry specimens, and 31 aerosol samples from a live bird market. The amplicons of all RT-PCR-positive samples were confirmed by Sanger sequencing. Our assay performed well with all tested specimens across all sample types.

    CONCLUSIONS: This assay can be used for detection and identification of all previously recognized CoVs, including SARS-CoV-2, and potentially any emergent CoVs in the Orthocoronavirinae subfamily.

    Matched MeSH terms: Pandemics
  16. Xiao K, Zhai J, Feng Y, Zhou N, Zhang X, Zou JJ, et al.
    Nature, 2020 07;583(7815):286-289.
    PMID: 32380510 DOI: 10.1038/s41586-020-2313-x
    The current outbreak of coronavirus disease-2019 (COVID-19) poses unprecedented challenges to global health1. The new coronavirus responsible for this outbreak-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-shares high sequence identity to SARS-CoV and a bat coronavirus, RaTG132. Although bats may be the reservoir host for a variety of coronaviruses3,4, it remains unknown whether SARS-CoV-2 has additional host species. Here we show that a coronavirus, which we name pangolin-CoV, isolated from a Malayan pangolin has 100%, 98.6%, 97.8% and 90.7% amino acid identity with SARS-CoV-2 in the E, M, N and S proteins, respectively. In particular, the receptor-binding domain of the S protein of pangolin-CoV is almost identical to that of SARS-CoV-2, with one difference in a noncritical amino acid. Our comparative genomic analysis suggests that SARS-CoV-2 may have originated in the recombination of a virus similar to pangolin-CoV with one similar to RaTG13. Pangolin-CoV was detected in 17 out of the 25 Malayan pangolins that we analysed. Infected pangolins showed clinical signs and histological changes, and circulating antibodies against pangolin-CoV reacted with the S protein of SARS-CoV-2. The isolation of a coronavirus from pangolins that is closely related to SARS-CoV-2 suggests that these animals have the potential to act as an intermediate host of SARS-CoV-2. This newly identified coronavirus from pangolins-the most-trafficked mammal in the illegal wildlife trade-could represent a future threat to public health if wildlife trade is not effectively controlled.
    Matched MeSH terms: Pandemics
  17. Wulandari P, Andika, Halide H
    Gac Sanit, 2021;35 Suppl 2:S455-S458.
    PMID: 34929874 DOI: 10.1016/j.gaceta.2021.07.024
    OBJECTIVE: The COVID-19 pandemic put enormous socio-economic pressures on most countries all over the world. In order to contain the spread of the coronavirus, governments implemented both pharmaceutical and non-pharmaceutical interventions. This simple modeling work aims to quantify the effect of three levels of social distancing and large-scale testing on daily COVID-19 cases in Malaysia, Republic of Korea, and Japan.

    METHOD: The model uses a Stepwise Multiple Regression (SWMR) method for selecting lagged mobility index and testing correlated with daily cases based on a 0.05 level of significance.

    RESULT: The models's predictability ranges are from 75% to 92%. It is also found that the mobility index plays a more important role, in comparison to testing rates, in determining daily confirmed cases.

    CONCLUSION: Behavioral changes that support physical distancing measures should be practiced to slow down the COVID-19 spreads.

    Matched MeSH terms: Pandemics
  18. Wu PY, Fung AT, Dave VP, Iu LPL, Sjahreza E, Chaikitmongkol V, et al.
    Clin Exp Ophthalmol, 2023 Aug;51(6):585-597.
    PMID: 37170410 DOI: 10.1111/ceo.14236
    BACKGROUND: To assess rhegmatogenous retinal detachment (RRD) surgery trends and training among young ophthalmologists (YOs, vitreoretinal fellows or attendings/consultants with ≤10 years of independent practice) and the impact of the COVID-19 pandemic.

    METHODS: An anonymous online survey was completed by 117 YOs in the Asia-Pacific regarding their RRD surgery experiences in 2021-2022.

    RESULTS: To achieve a 90% probability of surgical competency, 91 vitrectomy and 34 scleral buckling (SB) completions during fellowship were needed. In total, 49 (41.9%) YOs had fellowship affected by COVID-19. In the COVID versus pre-COVID era, however, the volume of SB completions per fellowship year decreased significantly (median [IQR] 3.3 [1.5, 9] vs. 13 [6.5, 23]; p 

    Matched MeSH terms: Pandemics
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