About

About the NIAMR project

The challenge, the gap, and our response

Antimicrobial resistance (AMR) is an urgent global public health threat that complicates treatment of infectious diseases. It is responsible for an estimated 1.3 million deaths worldwide each year. The burden is disproportionately high in low- and medium- income countries (LMICs) including Uganda, where AMR-associated mortality surpassed deaths due to malaria, HIV, and tuberculosis in 2019 (Murray et al., 2022).

AMR-associated mortality surpassed deaths due to malaria, HIV, and tuberculosis in Uganda in 2019 (Murray et al., 2022).

Recognising this threat, the Global Action plan on AMR (2015) and Uganda's National Action Plans on AMR (2018–2023; 2024–2029) identify surveillance – particularly the systematic collection and use of data on AMR and antimicrobial use as a core intervention. Such data are essential for effective clinical management, public health surveillance and design and implementation of AMR control strategies.

However, as highlighted at the United Nations General Assembly High-Level Meeting on AMR, the Africa CDC Landmark Report and Uganda NAP (2024–2029), AMR data in many LMICs including Uganda, remain fragmented, incomplete, and underutilised for decision-making, despite investments in microbiology laboratory capacity. Key challenges include shortage of skilled personnel at facility and national levels, disjointed data systems, and limited clarity regarding national AMR data needs.

AMR data in many LMICs including Uganda, remain fragmented, incomplete, and underutilised for decision-making.

We aim to develop and evaluate a national interoperable integrated digital AMR data capture, processing and sharing platform (NIAMR) at national level, bringing together human health AMR data from multiple existing AMR data capture systems, to support timely AMR detection, monitoring and evidence-based decision-making for improved surveillance and response in Uganda, with a scalable architecture for extension to other One Health sectors (i.e., animal health, water, wildlife and environment). This retrospective, three-year project will be implemented in five sequential phases.

Referenced frameworks

WHO Global Action Plan on AMR (2015)

Read the plan

Uganda NAPs on AMR (2018–2023; 2024–2029)

Ministry of Health

Africa CDC Landmark Report

Africa CDC

UN HLM on AMR

UN resources
Research roadmap · 36 months · Feb 2026 – Jan 2029

Our five phases

Phase 1 — National situation analysis and baseline assessment

Phase 1 involves a national situation analysis and baseline assessment of AMR data generation, management, and dissemination in Uganda, using desk reviews and community engagement and involvement (CEI).

Phase 2 — Development and pilot implementation

Phase 2 focuses on the development and pilot implementation of the integrated NIAMR platform in selected districts identified as AMR high-burden (red zones) heat maps, to assess feasibility, acceptability and ethical considerations.

Phase 3 — Impact evaluation at scale

Phase 3 involves evaluation of the impact of the NIAMR platform at scale on AMR surveillance performance and data use.

Phase 4 — System performance assessment

Phase 4 involves assessing system performance, data quality, and user uptake to inform optimisation and national roll-out.

Phase 5 — Costing for One Health scaling

Phase 5 involves estimating the costs of scaling the NIAMR platform using a micro-costing approach to support integration across all One Health sectors (humans, animals, water and environment).

Results chain

Outputs, outcomes & impact

Outputs — what we produce

The Key project outputs include:

i. NIAMR platform

An interoperable and integrated digital AMR data capture, processing and sharing platform.

ii. National AMR data management situation analysis report

A comprehensive national report on AMR data generation, management, and dissemination in Uganda.

iii. Clearly defined national AMR data needs

National AMR data requirements — which data, at what frequency, for which decisions, in what formats.

iv. AMR data governance structures

Clarified and documented AMR data governance structures for Uganda's health system.

v. NIAMR user and training guides

User guides and training materials supporting NIAMR platform adoption and use.

Outcomes — the change we expect

The Key project outcomes include: enhanced availability and use of integrated AMR data to support timely, evidence-based decision-making for AMR surveillance and response.

Intended impact — long-term goal

The intended impact of this study is reduced AMR burden across human, animal, and environmental health in Uganda.

Our team

A multidisciplinary research team

Our multidisciplinary research team includes microbiologists, biostatisticians, epidemiologists, public health scientists, health economists, data scientists and informaticians from Makerere University (Mak – https://www.mak.ac.ug/). We have substantial experience and expertise in health systems research, AMR / antimicrobial measurement and surveillance, statistical modelling, health informatics, digital health, information systems, data science and analytics, and AI/machine learning. Across our team, we have developed and implemented new methods and digital tools that have strengthened AMR measurement and surveillance as well as health infrastructure at the local, national and global level.

Disciplines represented

Microbiology

Biostatistics

Epidemiology

Public Health

Health Economics

Data Science

Informatics

18

Researchers

7

Disciplines

4

Partner institutions
Governance

How NIAMR is governed

Project Advisory Board / Steering Committee

The Project Steering Committee / Advisory Board comprises a multi-disciplinary team of experts including Ministry of Agriculture, Animal Industry and Fisheries (MAAIF), World Health Organisation-Uganda (WHO-Uganda), Parliamentary AMR forum, Infectious Diseases Institute-CHS, East African Health Research Commission (EAHRC), Uganda Health Federation (UHF), and National Information Technology Authority (NITA-U). These oversee the work performed by the project implementing team, CEI-CAB team and meet monthly to discuss the project progress with NIHR and the project team.

National AMR CEIs Committee

The National AMR CEIs Committee facilitates community engagement and involvement (CEI) across the partner institutions — the Ministry of Health (MoH), Uganda's National Health Laboratories and Diagnostics Services (NHLDS), Baylor College of Medicine Children's Foundation-Uganda (BCMCF-Uganda), and Mbarara University of Science and Technology (MUST) — ensuring NIAMR meets real-world data capture, sharing and surveillance needs.

Project Lead and Research Team

The Project Lead – Prof. Josephine Nabukenya – will supervise the project implementation team. She will coordinate all project activities together with the project team.

The Project Implementing Team constitutes the research team (2 Project Co-leads, Co-investigators and the CEIs representatives from the MoH, NHLDS, BCMCF-Uganda and MUST) as well as Health Systems Research Assistants and PhD students.

Our partners

Working with the community and stakeholders

The project is following the WHO "co-design with the user" principles in designing and implementation of the NIAMR intervention; as such the Mak research team is engaging and working with the community (CEIs) including the Ministry of Health (MoH), Uganda's National Health Laboratories and Diagnostics Services (NHLDS), the Baylor College of Medicine Children's Foundation-Uganda (BCMCF-Uganda), and Mbarara University of Science and Technology (MUST). The CEIs representation are led by the Director General of Health Services Dr. Charles Olaro for MoH, and assisted by the Commissioner for NHLDS Dr. Susan Nabadda, and the Programme Manager of BCMCF-Uganda Mr. Roger Kisame.

Partner institutions

Ministry of Health, Uganda

MoH

Ministry of Health, Uganda

The MoH is responsible for policy, planning, health service delivery and governance of all health data and information, as well as overseeing implementation of digital health in the country, and in this research it is supporting the identification of data capture systems from which the AMR data will be extracted, participate in the co-design and implementation of the NIAMR intervention to ensure that it meets the health data protection and sharing needs in the country. The governance structures at MoH are responsible for the approval of the NIAMR data capture intervention for deployment and roll-out in Uganda's health system.

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Uganda's National Health Laboratories and Diagnostics Services

NHLDS

Uganda's National Health Laboratories and Diagnostics Services

The NHLDS is responsible for providing stewardship for the AMR surveillance network, and in this research, it is supporting with overseeing and coordinating the introduction and implementation of the NIAMR project intervention to enhance existing systems for managing and sharing AMR surveillance data.

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Baylor College of Medicine Children's Foundation-Uganda

BCMCF-Uganda

Baylor College of Medicine Children's Foundation-Uganda

The BCMCF-Uganda is responsible for implementation and coordinating UK Fleming Fund Phase II investments in Uganda and supports the implementation of multisectoral antimicrobial stewardship, AMR surveillance and data sharing systems in line with Uganda's national action on AMR [2024-2029] on behalf of the Mott MacDonald the management agent for the Fleming Fund program. In this research it is responsible for providing the CEI expertise and a platform for their engagement and involvement to support the project implementation.

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Mbarara University of Science and Technology

MUST

Mbarara University of Science and Technology

The MUST is the second public university in Uganda, founded on a philosophy of community impact and engagement. MUST has a two-decade history of international partnerships with successful collaborative projects in technology and engineering, agriculture and health, currently running large research programs on HIV, malaria, mental health, and non-communicable diseases, with funding e.g., from the European Union and the US National Institutes of Health. MUST is representing and providing a platform for the AMR academia and researchers / scientists engagements in the project implementation.

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A National AMR Data Platform for Uganda

An integrated digital system for antimicrobial resistance data capture, processing, and sharing — currently under active development by our research team.

  • Prof. Josephine Nabukenya
  • Dr. Henry Kajumbula
  • Prof. Pauline Byakika-Kibwika

18+ Researchers

NIAMR Platform