This paper is in the following e-collection/theme issue:

Proposals (eHealth) (80) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Secondary Use of Clinical Data for Research and Surveillance (366) Protocols for Public Health Research and Surveillance (66) Surveillance Systems (462) Antimicrobial Stewardship and Antibiotic Resistance (44) Data Science (270) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Open Source and Data for Public Health (23) Datasets (10) Machine Learning (1465)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58116, first published .
Combating Antimicrobial Resistance Through a Data-Driven Approach to Optimize Antibiotic Use and Improve Patient Outcomes: Protocol for a Mixed Methods Study

Combating Antimicrobial Resistance Through a Data-Driven Approach to Optimize Antibiotic Use and Improve Patient Outcomes: Protocol for a Mixed Methods Study

Combating Antimicrobial Resistance Through a Data-Driven Approach to Optimize Antibiotic Use and Improve Patient Outcomes: Protocol for a Mixed Methods Study

Authors of this article:

Jonathan Mayito1 Author Orcid Image ;   Conrad Tumwine1 Author Orcid Image ;   Ronald Galiwango1, 2 Author Orcid Image ;   Elly Nuwamanya1 Author Orcid Image ;   Suzan Nakasendwa1 Author Orcid Image ;   Mackline Hope1 Author Orcid Image ;   Reuben Kiggundu1 Author Orcid Image ;   Dathan M Byonanebye1 Author Orcid Image ;   Flavia Dhikusooka1 Author Orcid Image ;   Vivian Twemanye1 Author Orcid Image ;   Andrew Kambugu1 Author Orcid Image ;   Francis Kakooza1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Jonathan Mayito   1 * , MBChB, MMed, PhD ;   Conrad Tumwine   1 * , MBChB ;   Ronald Galiwango   1, 2 , BSc, MPhil, PhD ;   Elly Nuwamanya   1 , BSc, MScEcon ;   Suzan Nakasendwa   1 , BScStatistics, MScBiostatistics ;   Mackline Hope   1 , MBChB, MPH, DTMH ;   Reuben Kiggundu   1 , MBChB, MScPhysiology, MPH ;   Dathan M Byonanebye   1 , MBChB, MMed, MPH, PhD ;   Flavia Dhikusooka   1 , BSc ;   Vivian Twemanye   1 , BPharm, MPH ;   Andrew Kambugu   1 , MBChB, MMed ;   Francis Kakooza   1 , PhD

1 Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda

2 African Center of Excellence in Bioinformatics and Data Intensive Sciences, The Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda

*these authors contributed equally

Corresponding Author:

  • Conrad Tumwine, MBChB
  • Infectious Diseases Institute
  • College of Health Sciences
  • Makerere University
  • IDI-McKinnell Knowledge Centre
  • P.O. Box 22418
  • Kampala, 10208
  • Uganda
  • Phone: 256 0704976874
  • Fax: 256 0704976874
  • Email: tconrad@idi.co.ug