Using economic data to create predictive models of anticipated antimicrobial resistance levels across countries

A team of researchers at the Amsterdam Institute for Global Health and Development has developed a way to model anticipated antimicrobial resistance levels across countries using economic data. In their paper published in Proceedings of the National Academy of Sciences, the group describes using the average income for a country, average out-of-pocket health care expenses for those living there and the degree of government corruption to create models that could accurately represent anticipated antimicrobial resistance levels for a given country.

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