Fig. 1: Outpatient and inpatient prescription data for two neighboring communities. | npj Antimicrobials and Resistance

Fig. 1: Outpatient and inpatient prescription data for two neighboring communities.

From: Relating antimicrobial use to wastewater resistance gene patterns via metagenomic analysis of two neighboring treatment plants circa the COVID-19 pandemic

Fig. 1

A Outpatient prescription counts/1000 people for zip codes corresponding to the university and community WWTPs compiled based on prescription order date (population data from https://datacommons.org/place/). Arrows indicate a sharp decline in prescriptions at the start of the COVID-19 pandemic. MLS indicates resistance to macrolide, lincosamide, and streptogramin. B Total inpatient prescriptions (in units of days of therapy (DOT)/1000 patients) for each month shown as yearly quarters as Q1 (circles): Jan–March, Q2 (triangles): April–June, Q3 (x-boxes): July–Sept, and Q4 (x-circles): Oct-Dec. Statistical comparisons were performed using Kruskal Wallis post hoc Dunn’s test revealed differences in total inpatient prescriptions for 2017 vs 2021 (p ≤ 0.0001) and 2022 (p ≤ 0.0001), 2018 vs 2021 (p ≤ 0.0001) and 2022 (p ≤ 0.001), 2019 vs 2021 (p ≤ 0.01) and 2022 (p ≤ 0.05) and 2020 vs 2021 (p ≤ 0.01) and 2022 (p ≤ 0.05).

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