Project description
New policy design to reduce antibiotic resistance
Antibiotics represent a huge step in human disease treatment, but their increased use promotes the development of resistant bacteria. According to the World Health Organization, resistance to antibiotics is a major global threat associated with 700 000 deaths per year due to untreatable infections. The design of new policies for the supply and demand of existing and new drugs is needed. The EU-funded ABRSEIST project intends to identify and assess feasible and efficient demand-side policy interventions that address physicians and patients. The project will use a broad econometric set of software tools to detect mechanisms connecting antibiotic resistance and consumption. Using machine learning methods and econometric analyses, ABRSEIST will provide strong evidence on effective intervention designs improving our understanding of prescribing, resistance and antibiotic use.
Fields of science
- social scienceseconomics and businesseconomicseconometrics
- medical and health scienceshealth sciencespublic health
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugsantibiotics
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- medical and health sciencesbasic medicinepharmacology and pharmacydrug resistanceantibiotic resistance
Programme(s)
Topic(s)
Funding Scheme
ERC-STG - Starting Grant
Host institution
10117 Berlin
Germany
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Beneficiaries (2)
10117 Berlin
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1165 Kobenhavn
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