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Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection: Revolutionary Strategies to Combat Pandemics ; : 421-449, 2022.
Article in English | Scopus | ID: covidwho-2149130

ABSTRACT

The novel Coronavirus (nCoV), severe acute respiratory syndrome-Coronavirus-2 (SARS-CoV-2), has shaken the whole world and posed significant challenges to the global healthcare system for more than a year. The scientific community across the globe is trying to combat this virus by developing a safe vaccine that can provide long-term immunity against the virus. The other means of overcoming its pathogenicity is to treat the infected people with available drugs and/or novel therapeutic strategies. The available drugs were previously designed to combat viral infections and come with tested safety. This appears to be the most practical approach as a quick response to the highly infectious pandemic with high morbidity and mortality. Although many repurposed drugs like favipiravir and hydroxychloroquine have been tried, they have been proven toxic and/or less efficacious. This has led the world to find urgent therapeutic interventions (traditional and novel), to help decrease the severity of COVID-19 infection and aim towards recovery. This chapter of the book will discuss the most up-to-date published data with respect to prevention and treatment of COVID-19 infection. Diagnosis also plays an important part in controlling the pandemic caused by the virus. A cheap, accurate and fast identification test for the virus is the need of the hour. This chapter will also throw light on the various diagnostic procedures available for the identification of SARS-CoV-2, till date, along with their advantages and disadvantages. © 2022 Elsevier Inc. All rights reserved.

2.
Business Strategy and the Environment ; : 17, 2021.
Article in English | Web of Science | ID: covidwho-1536119

ABSTRACT

Following the systematic review and bibliometric analysis of current literature, this paper attempts to investigate whether the wealth generated through cryptocurrency trading can assist in attaining the United Nations' (UN) sustainable development goal (SDG) 7, affordable and clean energy and UN SDG 13 related to climate action. The critical analysis of literature indicates a growing interest in cryptocurrency, the UN's SDGs and the negative effect that crypto mining has on the use of enormous energy. However, there is a clear gap in the literature that focuses on the possibility of using the wealth generated through cryptocurrency trading in financing environmentally friendly projects and attaining the UN's SDG 7 and SDG 13. The findings and the future research direction of this study aim to firstly expand the academic literature related to SDG 7 and SDG 13 and secondly to examine the relationship between cryptocurrency and sustainability even during an uncertain period. This study provides evidence pertaining to the theoretical models that can be applied within discussion of the complex relationship between cryptocurrency, clean energy and climate action. Our findings will provide policymakers with information regarding actions that need to be taken in order to convert cryptocurrency generated wealth and consequently attaining sustainable socio-economic goals in the future.

3.
SpringerBriefs in Applied Sciences and Technology ; : 83-91, 2020.
Article in English | Scopus | ID: covidwho-829133

ABSTRACT

This paper highlights the way companies can apply artificial intelligence (AI) in the post-COVID-19 period. We show that how the AI can be advantageous to develop an inclusive model and apply to the businesses of various sizes. The recommendation can be beneficial for academic researchers to identify several ways to overcome the obstacles that companies may face in post-COVID-19 period. The paper also addresses few major global issues, which can assist the policy makers to consider developing a business model to bounce back the world economy after this crisis is over. Overall, this paper enhances the understanding of stakeholders of business about the importance of application of the AI in businesses in a volatile market in post-COVID-19 period. © 2020, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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