Forecasting the Fallout from AMR: Economic Impacts of Antimicrobial Resistance in Food-Producing Animals
Adamie, Birhanu A. and Akwar, Holy T. and Arroyo, Montserrat and Bayko, Heather and Hafner, Marco and Harrison, Stella and Jeannin, Morgan and King, Deborah and Eweon, Sohwon and Kyeong, Nohkyum Daniel and Olumogba, Fifi and Rigby, Ishmeala and Song, Shinae Joy and Yerushalmi, Erez and Yugueros-Marcos, Javier and Zakaria, Sana (2024) Forecasting the Fallout from AMR: Economic Impacts of Antimicrobial Resistance in Food-Producing Animals. Project Report. World Organisation for Animal Health.
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Abstract
Antimicrobial resistance (AMR) is a silent pandemic that must be curbed via a multidisciplinary, multi-sectoral One Health approach, backed by political will, government commitment and public–private partnerships. This global threat affects the health of humans, animals and plants. Using a One Health approach, this EcoAMR study provides current estimates and up-to-date predictions of the health and economic burdens associated with AMR in humans and livestock, to facilitate policy action.
EcoAMR findings underscore the severe threat caused by AMR if no action is taken. Forecasts for 2025–2050 show that 38.5 million human deaths will be associated with bacterial AMR. Moreover, the global health care costs of AMR could rise to US$ 159 billion a year by 2050. In the animal sector, cumulative global gross domestic product (GDP) loss due to AMR in livestock is predicted to be US$ 575 billion by 2050. These multi-sectoral results provide strong evidence that calls for urgent action to curb AMR.
Item Type: | Monograph (Project Report) |
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Dates: | Date Event 26 September 2024 Published Online |
Subjects: | CAH15 - social sciences > CAH15-02 - economics > CAH15-02-01 - economics |
Divisions: | Faculty of Business, Law and Social Sciences > College of Accountancy, Finance and Economics > Centre for Accountancy Finance and Economics |
Depositing User: | Gemma Tonks |
Date Deposited: | 23 Oct 2024 12:17 |
Last Modified: | 23 Oct 2024 12:17 |
URI: | https://www.open-access.bcu.ac.uk/id/eprint/15924 |
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