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Current Science ; 121(10):1281-1287, 2021.
Article in English | Web of Science | ID: covidwho-1551965


Environmental issues have been growing due to the increased use of plastics and follow-up waste generation during the COVID-19 pandemic. To protect the patients, public, healthcare workers and waste management workers, many plastic protective gears are being extensively used throughout the world. These result in an unexpected increase of virus-laden infectious waste that needs to be managed properly. Moreover, during this pandemic period, single-use plastic is also bounced back which could deteriorate our waste management processes. These factors are overwhelming the current waste treatment facilities and the health authorities are making a lot of efforts to ameliorate the waste management process. In this article, information on generated waste, guidelines issued by various countries, and challenges and practices for safe disposal of infectious waste is provided to mitigate such waste management issues in future.

Am. J. Clin. Oncol.-Cancer Clin. Trials ; 44(10):S100-S100, 2021.
Article in English | Web of Science | ID: covidwho-1456834
Proceedings of the 18th Usenix Symposium on Networked System Design and Implementation ; : 217-232, 2021.
Article in English | Web of Science | ID: covidwho-1329598


As the COVID-19 pandemic reshapes our social landscape, its lessons have far-reaching implications on how online service providers manage their infrastructure to mitigate risks. This paper presents Facebook's risk-driven backbone management strategy to ensure high service performance throughout the COVID-19 pandemic. We describe Risk Simulation System (RSS), a production system that identifies possible failures and quantifies their potential severity with a set of metrics for network risk. With a year-long risk measurement from RSS we show that our backbone resiliently withstood the COVID-19 stress test, achieving high service availability and low route dilation while efficiently handling traffic surges. We also share our operational practices to mitigate risk throughout the pandemic. Our findings give insights to further improve risk-driven network management. We argue for incorporating short-term failure statistics in modeling failures. Common failure prediction models based on long-term modeling achieve stable output at the cost of assigning low significance to unique short-term events of extreme importance such as COVID-19. Furthermore, we advocate augmenting network management techniques with non-networking signals. We support this by identifying and analyzing the correlation between network traffic and human mobility.

Journal of Neuropathology and Experimental Neurology ; 80(6):586-586, 2021.
Article in English | Web of Science | ID: covidwho-1321122
Int J Infect Dis ; 100: 278-282, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-959810


Research, collaboration, and knowledge exchange are critical to global efforts to tackle antimicrobial resistance (AMR). Different healthcare economies are faced with different challenges in implementing effective strategies to address AMR. Building effective capacity for research to inform AMR-related strategies and policies is recognised as an important contributor to success. Interdisciplinary, intersector, as well as international collaborations are needed to span global to local efforts to tackle AMR. The development of reciprocal, long-term partnerships between collaborators in high-income and in low- and middle-income countries (LMICs) needs to be built on principles of capacity building. Using case studies spanning local and international research collaborations to codesign, implement, and evaluate strategies to tackle AMR, we have evaluated and build upon the ESSENCE criteria for capacity building in LMICs. The first case study describes the local codesign and implementation of antimicrobial stewardship (AMS) in the state of Kerala in India. The second case study describes an international research collaboration investigating AMR surgical patient pathways in India, the UK, and South Africa. We describe the steps undertaken to develop robust, agile, and flexible AMS research and implementation teams. Notably, investing in capacity building ensured that the programmes described in these case studies were sustained through the current severe acute respiratory syndrome coronavirus pandemic. Describing the strategies adopted by a local and an international collaboration to tackle AMR, we provide a model for capacity building in LMICs that can support sustainable and agile AMS programmes.

Anti-Bacterial Agents/pharmacology , Antimicrobial Stewardship , Biomedical Research , Drug Resistance, Bacterial , Capacity Building , Humans , Income , India , International Cooperation , South Africa , United Kingdom