2026-10-11T03:34:31Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33988065 2026-09-24T17:32:55Z 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 AMR data collected from public databases (GLASS [9] and MAAP [11]) across 22 African countries. It includes the number of isolates for each country and provides the mean, standard deviation, median and interquartile range (IQR) of AMR data from 2016 to 2020, as detailed in the table.</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 AMR data collected from public databases (GLASS [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0356734#pone.0356734.ref009" target="_blank">9</a>] and MAAP [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0356734#pone.0356734.ref011" target="_blank">11</a>]) across 22 African countries. It includes the number of isolates for each country and provides the mean, standard deviation, median and interquartile range (IQR) of AMR data from 2016 to 2020, as detailed in the table.</p> 2026-09-24T17:32:39Z Dataset Dataset 10.1371/journal.pone.0356734.t001 https://figshare.com/articles/dataset/_p_The_table_summarizes_AMR_data_collected_from_public_databases_GLASS_9_and_MAAP_11_across_22_African_countries_It_includes_the_number_of_isolates_for_each_country_and_provides_the_mean_standard_deviation_median_and_interquartile_range_IQR/33988065 CC BY 4.0