Estimating the Burden of Antibiotic Resistance and Evaluating Resistance-Related Interventions: Linkage of Data and Models

Date:

Monday, 21 October 2019

Time:

10.00am – 11.00am

Venue:

Seminar Room 1, Level 8
Tahir Foundation Building (MD1)
Saw Swee Hock School of Public Health
National University of Singapore
12 Science Drive 2, S(117549)

Synopsis:

Antibiotic resistance poses a great public health and financial burden to economies. Antibiotic resistance is a One Health issue, with antibiotic use, residues and resistance crossing the boundaries of humans, animals and environments. A conceptual framework for evaluating policy in this context comprising of a linked multi-model is proposed. Microeconomic methods to estimate the direct impact of resistance on (including survival analyses, multistate models and decision trees) are applied to a national dataset, comprised of linked microbiological and administrative data. Antibiotic resistance in bloodstream infections were individually associated with excess healthcare system costs-per-case of over £300. Such work then feeds into a linked cost-effectiveness and cost-benefit analysis model, the structure of which will be discussed.

About the speaker:

Nichola joined LSHTM as a Research Fellow in August 2018 to work within a collaboration between LSHTM and the International Livestock Research Institute, funded by the Consultative Group on International Agricultural Research. This research focuses on evaluating the potential impact of interventions to reduce antimicrobial use in livestock on human antimicrobial resistance and drug-resistant infections, with a focus on low and middle income settings.

Currently Nichola also holds honorary positions at Imperial College London and Public Health England, to continue the research that was initiated between 2015 – 2018 as part of the Research Assistant position she held at the NIHR funded Health Protection Research Unit on Healthcare Associated Infections and Antimicrobial Resistance at Imperial College London. Nichola’s background is in health economics and economics.