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1.
Computational and Mathematical Methods ; 2022:12, 2022.
Article in English | Web of Science | ID: covidwho-1799197

ABSTRACT

We investigate models to describe respiratory diseases with fast mutating virus pathogens such that after some years the aquired resistance is lost and hosts can be infected with new variants of the pathogen. Such models were initially suggested for respiartory diseases like influenza, showing complex dynamics in reasonable parameter regions when comparing to historic empirical influenza like illness data, e.g., from Ille de France. The seasonal forcing typical for respiratory diseases gives rise to the different rich dynamical scenarios with even small parameter changes. Especially the seasonality of the infection leads for small values already to period doubling bifurcations into chaos, besides additional coexisting attractors. Such models could in the future also play a role in understanding the presently experienced COVID-19 pandemic, under emerging new variants and with only limited vaccine efficacies against newly upcoming variants. From first period doubling bifurcations, we can eventually infer at which close by parameter regions complex dynamics including deterministic chaos can arise.

2.
International Journal of Pharmaceutical Sciences Review and Research ; 71(1):45-51, 2021.
Article in English | EMBASE | ID: covidwho-1597927

ABSTRACT

Vaccine among people globally preparations must be made within countries for covid-19 vaccine safety surveillance on an urgent basis. Safety surveillance must be capable of investigating adverse event of special interest (AESI) and adverse event following immunization to determine a change in the benefit-risk profile of the vaccine. COVID-19 vaccine is the most important tool to stem the pandemic. WHO emergency use listing, while using regulatory pathway through national regulatory authorities. Vaccine safety communication plan should be developed. Expending the global vaccine safety system to meet the needs of covid-19 and other emergency and routine use vaccine is a priority currently. The protective efficacy and the short term and long-term side effect of the vaccine are of major concern. Various strategies have been designed the covid-19 pandemic. The highly infectious corona virus disease 2019 associate with me pathogenic severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) has spread to become a global pandemic. The development of covid-19 vaccine is crucial for the world to return to pre-pandemic normalcy and the collective global effort has been invested into protective against SARS-CoV2.

3.
Higher Education Skills and Work-Based Learning ; ahead-of-print(ahead-of-print):23, 2021.
Article in English | Web of Science | ID: covidwho-1379494

ABSTRACT

Purpose Virtual collaboration provides students with an opportunity to develop cultural intelligence while fitting into the team where the members are from diverse cultures. The purpose of this study is to explore whether global virtual team (GVT) projects raise students' understanding of cultural differences. In addition, it is interesting to know how internationally disruptive events such as the coronavirus disease 2019 (COVID-19) pandemic influence GVT projects. Design/methodology/approach The research involved two parts: In the first part, a two-wave longitudinal study was conducted to investigate how intercultural sensitivity and intercultural communication competence coevolve within a group of international students enrolled in a virtual business professional project. In the second part, using word clouds and topic modelling on the participants' perceptions, the study investigated whether the sudden disruption caused by the pandemic show similar results in performance, focussing primarily on the resilience of virtual teams. Further, the study explored participants' perceptions towards online learning in higher education institutions as well as the attitude of corporate organizations towards remote working in the post-pandemic years. Findings The results confirmed that GVT projects, in fact, do raise students' understanding of cultural differences and the need to adjust their behaviour accordingly in order to engage with their culturally different counterparts effectively. Participants reported an increase in their cognitive, behavioural and affective attributes. Research limitations/implications Among the limitations of this study is the relatively small number of student participants. Furthermore, the number of respondents from India dominated the sample. Since the Indian students were disproportionately affected by the shutdown, causing them to return often to rural areas with poor Internet connectivity, responses concerning the disruption caused by the pandemic may be overriding negative. The same could be said of responses from US-American students, who often rely heavily on-campus employment or whose parents became unemployed during the pandemic, and thus were faced with disproportionate economic insecurity. Practical implications This paper provides insights to the educators and international organizations on how such projects provide the skills essential for reducing costs, accessing knowledge, skills and abilities (KSAs) across borders, maintaining flexible work schedules and arrangements, and taking advantage of multiple time zones to increase productivity. Originality/value While highlighting the significance of cultural intelligence, this paper investigated how the sudden disruption caused by a crisis such as the COVID-19 pandemic impacts performance, focussing primarily on the resilience of virtual teams.

4.
European Psychiatry ; 64(S1):S670, 2021.
Article in English | ProQuest Central | ID: covidwho-1357377

ABSTRACT

IntroductionWhen New York City became an epicenter of the COVID-19 pandemic, healthcare workers from an array of specialties were deployed to work on general medicine units with limited time for clinical retraining.ObjectivesThis study assesses the subjective experience and perceived preparedness of a cohort of non-internal medicine clinicians who were deployed to assist with inpatient management of patients with COVID-19 in the Spring of 2020.MethodsAn online survey was distributed to clinicians (residents, fellows, attendings, nurse practitioners, and physician assistants) who cared for patients in roles outside their usual specialties during the pandemic at the Montefiore Health System in the Bronx, NY.Results85/169 (50.3%) clinicians responded. 16.5% reported strong feelings of preparedness prior to deployment (≥7/10 Likert scale). ‘Access to appropriate and efficient review materials prior to deployment’ was ranked as 6/10, overall level of stress as 8/10 and concern for contracting COVID-19 while deployed as 8/10. Responses regarding ‘general feelings of preparedness’ had a weak negative association with ‘feelings of frustration about one’s circumstance’ (r= -0.39, p<0.001). Weak negative associations were found between feelings of ‘access to adequate review materials’ and ‘overall stress levels’ (r= -0.31, p<0.001). A moderate positive association was found between ‘feelings of access to adequate review materials’ and ‘feeling on top of one’s work responsibilities’ (r= 0.40, p< 0.001).ConclusionsThe majority of respondents did not feel adequately prepared to care for patients with COVID-19 prior to deployment and had both high stress levels and fear of contracting COVID-19 in the first wave of the pandemic.DisclosureNo significant relationships.

5.
Journal of Physics: Conference Series ; 1950(1), 2021.
Article in English | ProQuest Central | ID: covidwho-1349738

ABSTRACT

The novel coronavirus or officially known as SARS-CoV 2 (Severe Acute Respiratory Syndrome Coronavirus 2) has caused a severe pandemic over the world affecting not only the economy of the countries but also the lifestyle of the people worldwide. As on 31.12.2020, Covid-19 (coronavirus disease) has infecting more than 10266674 people and causing about 148738 deaths in India. It has been seen through various statistics of various countries that the number of Covid-19 cases grows exponentially as the number of test increases then after some period, the rate of new cases decreases. In this research paper, researchers have created deep learning-based model to predict the curve of the new Covid-19 cases vs the total number of tests conducted in India. There is still lockdown in some part of the country while some states have partially relaxed the rules and some states totally lifted the lockdown. Predicting the number of new cases and their trend can help in deciding what is the optimal time to release the lockdown. It will also help in determining when the coronavirus will loosen its grip from India.

6.
Indian Journal of Public Health Research and Development ; 12(4):299-303, 2021.
Article in English | EMBASE | ID: covidwho-1326532

ABSTRACT

Background: Poornima University, in collaboration with Jodhpur School of Public Health, hosted an insightful and interactive live global webinar on the topic of “Digitally Transforming the Future of Global Public Health” on July 20, 2020. Findings: This report gives a brief awareness on the global public health transformation to digital platforms and understand the technical uses of artificial intelligence (AI). During COVID-19, use of Telemedicine has increased, as a tool that reaches patient’s home. In the current situation, where social distancing and quarantine have been adopted as effective method to reduce the spread of COVID, telemedicine and virtual software platforms gained more importance to provide health service. Conclusion: The findings show that telemedicine and virtual software will minimize emergency department visits, protect healthcare resources and reduce the spread of COVID-19 by remotely treating patients during and after the COVID-19 pandemic. Telemedicine has continued to increase in uptake and shows tremendous promise in expanding access to health care, promoting patient disease management, and facilitating in-between health care visit monitoring. Although the future is bright, more research is needed to determine optimal ways to integrate telemedicine, especially remote monitoringinto routine clinical care.

7.
International Journal of Innovation and Technology Management ; 18(04):24, 2021.
Article in English | Web of Science | ID: covidwho-1307975

ABSTRACT

The concept of big data (BD) has been coupled with disaster management to improve the crisis response during pandemic and epidemic. BD has transformed every aspect and approach of handling the unorganized set of data files and converting the same into a piece of more structured information. The constant inflow of unstructured data shows the research lacuna, especially during a pandemic. This study is an effort to develop a pandemic disaster management approach based on BD. BD text analytics potential is immense in effective pandemic disaster management via visualization, explanation, and data analysis. To seize the understanding of using BD toward disaster management, we have taken a comprehensive approach in place of fragmented view by using BD text analytics approach to comprehend the various relationships about disaster management theory. The study's findings indicate that it is essential to understand all the pandemic disaster management performed in the past and improve the future crisis response using BD. Though worldwide, all the communities face big chaos and have little help reaching a potential solution.

8.
2020 National Conference on Materials, Mechanics and Modeling, NCMMM 2020 ; 2341, 2021.
Article in English | Scopus | ID: covidwho-1246471

ABSTRACT

Due to the ongoing coronavirus pandemic caused by the novel virus SARS-CoV-2, the healthcare professionals throughout the world are at the most significant risk of infection from the treatment of infected patients. The risk is not only limited to them, people working in the service sectors who are required to go out and various other commercial institutions are also at economic risks due to the immobilization of resources and workforces. This report deals with the brief overview of the current and potential applications of robotics and automation in healthcare, education, and various industries that prove beneficial not only in the decline of transmission of COVID-19 by maintaining social distancing but also in carrying out tasks more safely and effectively. © 2021 Author(s).

9.
2020 National Conference on Materials, Mechanics and Modeling, NCMMM 2020 ; 2341, 2021.
Article in English | Scopus | ID: covidwho-1246470

ABSTRACT

Humanoid robot is the robot which is similar to human being in anthropometric structure. It has different body parts like two legs, two hands, head and trunk. Due to this anthropometric similarity, these robots can do everyday task but only being a humanoid robot doesn't allow that it can perform the entire task that a human being can do. The dynamic performance of the humanoid is promising and the present scenario it is a typical task to maintain its dynamic stability, that is the reason for targeting a special purpose in the designing a humanoid robot. Applications of humanoid robot are common in the field of healthcare and education but we are trying to use a humanoid in different field which can be hazardous for mankind but require human skill to perform that task like in mining where hazardous gas may be present, bomb disposal squad, spraying disinfectant as well as in field like cleaning jobs, distribution of required things. As we know we are currently surviving from noble Covid-19 disease where humanoid robot assistant can be fruitful in different applications like spreading of sanitizers, distribution of food materials as well as food packets, thermal scanning etc. but this can be technically challenging and fascinating. The humanoid robot using artificial intelligence (AI) can also be utilized for spreading awareness against the Covid-19 disease. This article is about the discussion and finding out the usefulness in different humanoid application and its technical aspects. © 2021 Author(s).

10.
Database (Oxford) ; 20202020 01 01.
Article in English | MEDLINE | ID: covidwho-933843

ABSTRACT

The current coronavirus disease of 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus (SARS-CoV)-2, has spurred a wave of research of nearly unprecedented scale. Among the different strategies that are being used to understand the disease and develop effective treatments, the study of physical molecular interactions can provide fine-grained resolution of the mechanisms behind the virus biology and the human organism response. We present a curated dataset of physical molecular interactions focused on proteins from SARS-CoV-2, SARS-CoV-1 and other members of the Coronaviridae family that has been manually extracted by International Molecular Exchange (IMEx) Consortium curators. Currently, the dataset comprises over 4400 binarized interactions extracted from 151 publications. The dataset can be accessed in the standard formats recommended by the Proteomics Standards Initiative (HUPO-PSI) at the IntAct database website (https://www.ebi.ac.uk/intact) and will be continuously updated as research on COVID-19 progresses.


Subject(s)
Betacoronavirus , Coronaviridae , Coronavirus Infections , Host-Pathogen Interactions , Pandemics , Pneumonia, Viral , Protein Interaction Maps , COVID-19 , Humans , Organ Specificity , Proteomics , SARS-CoV-2 , Viral Proteins
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