Kuzama pa Kalondo — HIV surveillance in Malawi
About the initiative

Kuzama pa Kalondo—"Getting Smart".

Kuzama pa Kalondo—"Getting Smart"—is a collaborative research initiative to reimagine HIV surveillance and long-term epidemic monitoring in Malawi and other countries that have achieved substantial progress in controlling the HIV epidemic.

Over the past two decades, countries in Eastern and South Africa have made remarkable at reducing new HIV infections and AIDS-related deaths through effective scale-up of HIV prevention, treatment, and care, placing the country on track to surpass global HIV treatment and viral suppression targets. HIV programme priorities are now turning to how to effectively maintain HIV services and ensure sustained progress controlling the epidemic for decades to come. As HIV programs new infections continue to decline and service coverage gaps are smaller, new approaches are needed to effectively monitor sustained progress, guide strategy adjustments, and identify corrective public health actions when needed.


What drives it

Vision, mission, and objective.

Vision

To lead sustained HIV epidemic control through smarter surveillance, innovative data systems, and evidence-based decision-making that empower countries to respond effectively to changing epidemic trends and improve the health and well-being of communities.

Mission

To modernise HIV surveillance in Malawi and beyond by combining routine health data, targeted surveillance, and mathematical modelling — turning raw signals into timely, actionable public health insight.

Objective

To institutionalise capacity in data analytics, epidemiology, and mathematical modelling — establishing Malawi as a regional centre of excellence in HIV data science and surveillance innovation.

Latest

News and Announcement.

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Initiative launch event
Launch

Kuzama pa Kalondo officially launched in Blantyre

Partners from KUHeS, Harvard Chan School, and the Ministry of Health gathered to mark the start of the initiative's surveillance work.

October 2023
Research workshop
Workshop

Capacity-building workshop trains first cohort in modelling methods

A two-week training programme brought together epidemiologists and data scientists from across the region.

March 2024
Publication release
Publication

New brief outlines the case for case-based HIV surveillance

The team's latest policy brief sets out why routine, individual-level data matters for sustained epidemic control.

August 2024
Where it lands

Five areas of impact.

Surveillance innovation

New methods for case-based, real-time HIV epidemic monitoring.

Data analytics & modelling

Applied mathematical and statistical modelling for public health decisions.

Capacity strengthening

Building local expertise in epidemiology and data science.

Open-source tools

Methods and software built to be reused, not locked away.

Policy & programme support

Evidence packaged for the people who set HIV programme strategy.

Partnership

Led from Malawi, built with a regional and global network.

The initiative is implemented through a partnership between academic, research, and government institutions in Malawi and beyond.

Kamuzu University of Health Sciences Lead — KUHeS
Harvard T.H. Chan School of Public Health Academic partner
Nyanja Health Research Institute Research partner
African Institute for Development Policy (AFIDEP) Policy partner
University of Cape Town Academic partner
Malawi Ministry of Health Government
Public Health Institute of Malawi (PHIM) Government
National AIDS Council (NAC) Government
Project timeline

October 2023 — March 2028.

Oct 2023

Initiative launched

Partnership formed and the modernised surveillance strategy takes shape.

2024 – 2027

Build, test, and scale

Surveillance approaches, modelling methods, and local capacity are developed and refined in-country.

Mar 2028

Regional centre of excellence

Malawi positioned as a hub for HIV data science and surveillance innovation, with tools ready to inform programmes globally.

Kuzama pa Kalondo is funded by the Bill & Melinda Gates Foundation.