The relentless spread of antimicrobial resistance (AMR) poses a significant threat to global and Swedish public health, undermining the effectiveness of established antimicrobial therapies and increasing the burden of infectious diseases [1]. Drawing upon the extraordinary work of Nobel Laureate Vernon Smith in experimental economics [2], this study employs a comprehensive simulation-based analysis to evaluate the impact of targeted interventions aimed at curbing AMR in Sweden [3]. Utilizing Python to generate synthetic data sets, we simulate intricate market behaviors, supply-demand dynamics, and stakeholder responses that mirror the Swedish healthcare system’s complexity [4]. This approach allows for a nuanced exploration of how different interventions— ranging from stringent policy reforms to innovative behavioral nudges and extensive educational campaigns [5] - can influence AMR dynamics. Notably, this study integrates and expands upon critical findings from seminal works, leveraging the experimental frameworks established by Vernon Smith [1,6] to deliver novel insights into effective AMR management strategies.
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