Data on the burden of antibiotic resistance is important for understanding the magnitude of the problem and for communicating the urgency to address the topic. Data on the burden attributable to resistance is still lacking from many parts of the world.
Potential indicators of burden
- Excess mortality or morbidity (for a resistant infection as compared to a non-resistant infection)
- Excess hospital, healthcare provider or payer costs
- Economic impact (change in Gross Domestic Product)
- Farm productivity or yield
- Farm costs, income or profit
- Economic impact (change in Gross Domestic Product)
Mapping the global burden of resistance
The Global Burden of Disease is a global research program that provides a tool to quantify health loss from different diseases, injuries, and risk factors. It covers both the prevalence of a given disease or risk factor and the relative harm it causes. Data is collected and analyzed by a consortium of more than 3,600 researchers in over 145 countries. There is data from 1990 to the present, across different age groups and populations.
Work is now ongoing to include mortality and morbidity data related to resistant infections into the Global Burden of Disease Study. The initial phase will focus on synthesizing existing data and developing analytical methods to estimate the fraction of burden that is attributable to resistance. Disease burden estimates will be produced and incorporated into publicly accessible visualizations and maps.
Potential long term consequences of antibiotic resistance
When estimating the burden of resistance or the impact of related policies, it is important to consider the potential long term consequences of antibiotic resistance. The flowchart below depicts the potential long term burden of resistance if no interventions or new antibiotics were added to the system.
The resources below have been divided into the following tables:
- Tools and methodology
- Data and reports
The burden of antibiotic resistance is closely linked to the overall occurrence of bacterial infections. For information on measuring infections, see MEASURE – Infections.
Tools and methodology
|GLASS method for estimating attributable mortality of antimicrobial resistant bloodstream infections||Protocol. Master template protocol from WHO GLASS for estimating in-hospital mortality attributable to resistant blood stream infections. Focuses on ESBL E. coli and MRSA infections of both community and hospital-origin. Can be expanded to other bacteria as well. Can also support tracking of progress towards the sustainable development goals and specifically the AMR indicator.
|Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015: a population-level modelling analysis||Journal article with methodology from ECDC reporting on the burden of antibiotic resistance in EU/EEA. It also includes estimates of morbidity in DALYs.
|LiST: The Lives Saved Tool||Tool: The Lives Saved Tool (LiST) is a PC tool that estimates the impact of scaling up health and nutrition interventions on maternal, newborn, and child health.|
|Estimating the burden of antimicrobial resistance: a systematic literature review||Review with recommendations discussing alternative methodologies for estimating the burden of antibiotic resistance in the current evidence base.
|Economic analysis of animal diseases||Guidelines on how to conduct analysis on economic impact of animal diseases (but not specifically on antibiotic resistance).
Data and reports
|Antibiotic resistance threats in the United States, 2019||Report that describes the situation for 18 pathogens, trends over time and treatment options in an easy to access format.|
|Clinical and economic impact of antibiotic resistance in developing countries: A systematic review and meta-analysis||Review that collates studies estimating the health and cost burden of antibiotic resistance in developing countries.|
|When the Drugs Don’t Work – Antibiotic Resistance as a Global Development Problem (PDF 6,1MB)||Report from ReAct that describes the negative impact of antibiotic resistance on global and national efforts to eradicate poverty, spur economic growth, reduce inequality, improve global public health, reduce hunger and protect the environment (Sustainable development goals 1, 2, 3, 5, 6, 8, 10, 12, 14 and 15).|
|Drug-resistant infections: A Threat to our Economic Future, 2017||Report from the World Bank that estimates the potential burden of antimicrobial resistance by 2050. See “Part II. Economic Impact of AMR” for estimates of the burden of antibiotic resistance on health and agricultural sectors in low-income countries.|
|Antibiotic resistance – consequences for animal health, welfare, and food production||Review that describes the negative effects of antibiotic resistance on animal health, animal welfare and different socio-economic consequences if infectious diseases in animals cannot be treated.|
|Health and Economic Impacts of Antimicrobial Resistant Infections in Thailand: A Preliminary Study||Journal article: This study assessed health and economic impacts of antimicrobial resistance in Thailand under societal perspective by using the secondary data on hospitalizations and nosocomial infections from 1,023 hospitals (abstract in available in English, article in Thai).|
|Access to effective antimicrobials: a worldwide challenge||Journal article: This study assesses the global disease burden caused by limited access to antimicrobials, attributable to resistance to antimicrobials, and the potential effect of vaccines in restricting the need for antibiotics.|