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oai:figshare.com:article/33988071 2026-09-24T17:32:57Z category_7 category_8 category_272 category_45 category_734 category_106 portal_5 item_type_3 month_year_09_2026

<p>The table summarizes inequality and concentration metrics for country-level AMR isolate contributions within the public databases [9,11] (2016–2020) and private databases [12] (2004–2022). Metrics including the Gini coefficient, Shannon entropy, normalized entropy, Herfindahl–Hirschman Index (HHI), and the proportional contribution of the top contributing countries were used to assess the degree of imbalance and concentration in isolate distribution across countries within each dataset.</p> Wendy Akushika Dogbegah (25105146) Stephen Obol Opiyo (5395166) Peace Proscovia Aber (21376652) Christian Kaembou Tiambo (25105149) Medicine Microbiology Environmental Sciences not elsewhere classified Sociology Biological Sciences not elsewhere classified Science Policy venatorx &# 8217 shionogi &# 8217 reflecting major differences multiple independent repositories herfindahl &# 8211 gsk &# 8217 dynamic analytical exploration antimicrobial use partnership 2016 &# 8211 mapping antimicrobial resistance global antimicrobial resistance use surveillance system support spatial visualisation study analysed continent longer temporal coverage level surveillance coverage integrating multiple streams integrated evidence base formal surveillance databases categorical amr outcomes highlights resistance patterns johnson &# 8217 identifying surveillance disparities using gis dashboards fragmented amr datasets interactive gis dashboards resistance patterns surveillance disparities interactive dashboards amr evidence resistance trends updateable surveillance temporal trends surveillance source surveillance intensity support tools study demonstrates integrating datasets wt covering standard deviations species distribution shannon entropy reporting systems reporting gaps original structure lorenz curves laboratory infrastructure isolate identifiers interquartile ranges improving visibility <p>The table summarizes inequality and concentration metrics for country-level AMR isolate contributions within the public databases [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0356734#pone.0356734.ref009" target="_blank">9</a>,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0356734#pone.0356734.ref011" target="_blank">11</a>] (2016–2020) and private databases [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0356734#pone.0356734.ref012" target="_blank">12</a>] (2004–2022). Metrics including the Gini coefficient, Shannon entropy, normalized entropy, Herfindahl–Hirschman Index (HHI), and the proportional contribution of the top contributing countries were used to assess the degree of imbalance and concentration in isolate distribution across countries within each dataset.</p> 2026-09-24T17:32:39Z Dataset Dataset 10.1371/journal.pone.0356734.t003 https://figshare.com/articles/dataset/_p_The_table_summarizes_inequality_and_concentration_metrics_for_country-level_AMR_isolate_contributions_within_the_public_databases_9_11_2016_2020_and_private_databases_12_2004_2022_Metrics_including_the_Gini_coefficient_Shannon_entropy_no/33988071 CC BY 4.0