Browsing by Author "Nandini Shetty"

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    Improving the estimation of the global burden of antimicrobial resistant infections
    (2019-11-01) Direk Limmathurotsakul; Susanna Dunachie; Keiji Fukuda; Nicholas A. Feasey; Iruka N. Okeke; Alison H. Holmes; Catrin E. Moore; Christiane Dolecek; H. Rogier van Doorn; Nandini Shetty; Alan D. Lopez; Sharon J. Peacock; Public Health England; The University of Hong Kong Li Ka Shing Faculty of Medicine; Malawi-Liverpool-Wellcome Trust Clinical Research Programme; University of Cambridge; University of Oxford; University of Melbourne; Imperial College London; Mahidol University; University of Ibadan; Oxford University Clinical Research Unit
    © 2019 Elsevier Ltd Estimating the global burden of disease from infections caused by pathogens that have acquired antimicrobial resistance (AMR) is essential for resource allocation and to inform AMR action plans at national and global levels. However, the scarcity of robust and accepted methods to determine burden is widely acknowledged. In this Personal View, we discuss the underlying assumptions, characteristics, limitations, and comparability of the approaches used to quantify mortality from AMR bacterial infections. We show that the global burdens of AMR estimated in previous studies are not comparable because of their different methodological approaches, assumptions, and data used to generate the estimates. The analytical frameworks from previous studies are inadequate, and we conclude that a new approach to the estimation of deaths caused by AMR infection is needed. The innovation of a new approach will require the development of mechanisms to systematically collect a clinical dataset of substantial breadth and quality to support the accurate assessment of burden, combined with decision-making and resource allocation for interventions against AMR. We define key actions required and call for innovative thinking and solutions to address these problems.
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    Surveillance and Epidemiology of Drug Resistant Infections Consortium (SEDRIC): Supporting the transition from strategy to action [version 1; referees: 2 approved, 1 approved with reservations]
    (2018-01-01) Sharon J. Peacock; Keiji Fukuda; Direk Limmathurotsakul; Iruka N. Okeke; Nandini Shetty; Rogier van Doorn; Nicholas A. Feasey; Francesca Chiara; Ghada Zoubiane; Tim Jinks; Julian Parkhill; Jean Patel; Stuart W.J. Reid; Alison H. Holmes; Public Health England; The University of Hong Kong Li Ka Shing Faculty of Medicine; Malawi-Liverpool-Wellcome Trust Clinical Research Programme; London School of Hygiene & Tropical Medicine; Royal Veterinary College University of London; Wellcome Trust; Centers for Disease Control and Prevention; Imperial College London; Mahidol University; University of Ibadan; Wellcome Sanger Institute; Oxford University Clinical Research Unit
    © 2018 Fukuda K et al. In recognition of the central importance of surveillance and epidemiology in the control of antimicrobial resistance and the need to strengthen surveillance at all levels, Wellcome has brought together a new international expert group SEDRIC (Surveillance and Epidemiology of Drug Resistant Infections Consortium). SEDRIC aims to advance and transform the ways of tracking, sharing and analysing rates of infection and drug resistance, burden of disease, information on antibiotic use, opportunities for preventative measures such as vaccines, and contamination of the environment. SEDRIC will strengthen the availability of information needed to monitor and track risks, including an evaluation of access to, and utility of data generated by pharma and research activities, and will support the translation of surveillance data into interventions, changes in policy and more effective practices. Ways of working will include the provision of independent scientific analysis, advocacy and expert advice to groups, such as the Wellcome Drug Resistant Infection Priority Programme. A priority for SEDRIC's first Working Group is to review mechanisms to strengthen the generation, collection, collation and dissemination of high quality data, together with the need for creativity in the use of existing data and proxy measures, and linking to existing in-country networking infrastructure. SEDRIC will also promote the translation of technological innovations into public health solutions.