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2.6. Data Analysis

GM Gerald Mboowa
DA Dickson Aruhomukama
IS Ivan Sserwadda
FK Freddy Eric Kitutu
HD Hayk Davtyan
PO Philip Owiti
EK Edward Mberu Kamau
WE Wendemagegn Enbiale
AR Anthony Reid
DB Douglas Bulafu
JK Jeffrey Kisukye
ML Margaret Lubwama
HK Henry Kajumbula
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The data extracted from LIMS were cleaned and analyzed using Microsoft Excel 2016 (Microsoft Corporation, Albuquerque, NM, USA) and STATA 14.0 statistical software (StataCorp, College Station, TX, USA). Descriptive analyses including frequencies, percentages, and means were performed. Cross-tabulations were used to determine the percentages of samples that were susceptible towards each antibiotic. These percentages were presented in the form of tables and figures. Resistance percentage categories were assigned for this study to determine the trends of resistance towards the antibiotics. Chi2 tests were used to assess the significance of differences in resistance towards the selected antibiotics for 2014, 2016, and 2018. Differences with p-values less than 0.05 at a 95% confidence interval were considered significant.

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Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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