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

Case Report (71) Clinical Informatics (2402) Clinical Information and Decision Making (3911) Surveillance Systems (697)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82727, first published .
Scientist in gloves examines petri dish under microscope in lab

Digital Infrastructure for Antimicrobial Susceptibility Testing and Surveillance: A CLSI and EUCAST-Based Model for Resource-Limited Settings

Digital Infrastructure for Antimicrobial Susceptibility Testing and Surveillance: A CLSI and EUCAST-Based Model for Resource-Limited Settings

Authors of this article:

Djibril Mbarushimana1 Author Orcid Image ;   Taofeek Tope Adegboyega2 Author Orcid Image ;   Gatera Jean Damascene1 Author Orcid Image ;   Muritala Issa Bale2 Author Orcid Image ;   Buregeya Jean Damascene1 Author Orcid Image ;   Kayitesi Marie Francoise1 Author Orcid Image ;   Itangishaka Innocent1 Author Orcid Image ;   Rugamba Alexis2 Author Orcid Image ;   Rasheed Omotayo Adeyemo2 Author Orcid Image ;   Bagirinshuti Issa1 Author Orcid Image ;   Saheed Adekunle Akinola2 Author Orcid Image ;   Ahmed Adebowale Adedeji2 Author Orcid Image ;   Mushuru Evariste1 Author Orcid Image ;   Busumbigabo Albert1 Author Orcid Image ;   Mukamana Felicite1 Author Orcid Image ;   Habarurema Sylvain1 Author Orcid Image ;   Felix Habarugira1 Author Orcid Image ;   Jean Paul Sinumvayo2 Author Orcid Image ;   Rutambika Noel1 Author Orcid Image ;   Twagirumugabe Theogene1 Author Orcid Image ;   Ndoli Minega Jules1 Author Orcid Image ;   Ngarambe Christian1 Author Orcid Image
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Journals

  1. Murei A, Kamika I. Water quality challenges and microbial risk in rural areas: water source, pollution pathways, microbial risk, surveillance gaps, and integrated risk management. Frontiers in Water 2026;8 View
  2. Okechukwu N, EMENYONU O, Adebayo J, Okpunu A, Onunogbo B, Opabunmi K. The Hidden AMR Gap: A Scoping Review and AI Framework for Detecting Under-Surveillance of Antimicrobial Resistance. International Journal of Evidence-Based Medicine 2026;1(3):jebm015 View
  3. Batu N, Abo El-makarem H, Ghanem M, Tulu K, Sasikumar J. Transforming one health antimicrobial resistance surveillance in resource-limited countries (RLCs): From point-of-care diagnostics to AI-driven decision support. Journal of Microbiological Methods 2026;250:107726 View
  4. Kimera Z, Mtebe M, Kibwana U, Masoud S, Kamori D, Mbugi E, Matee M. A One Health scoping review of genomic and machine learning approaches for predicting antimicrobial resistance in low- and middle-income countries. Discover Public Health 2026;23(1) View