GTS-MACS Study
Full title
Development of Geospatio-Temporal Surveillance and Characterisation of Malaria in the Changing Climatic Conditions in Eastern Uganda Study
Study overview
Malaria transmission is influenced by environmental conditions that affect mosquito survival, breeding and contact with human populations. Changes in temperature, rainfall and humidity may alter when and where malaria transmission occurs, potentially extending transmission seasons or increasing malaria incidence in previously lower-risk areas.
At the same time, the emergence of Plasmodium falciparum parasites with reduced susceptibility to commonly used antimalarial medicines threatens progress in malaria control.
The GTS-MACS Study combines epidemiological surveillance, geographical mapping, climate information, parasite-clearance monitoring and molecular laboratory investigations to characterise malaria in Eastern, Northern and Northeastern Uganda.
Study objectives
The study aims to:
- Describe the geographical and temporal distribution of malaria.
- Examine the relationship between malaria patterns and temperature, rainfall and humidity.
- Identify areas and populations experiencing a high or changing malaria burden.
- Determine parasite-clearance rates among children treated with artemether-lumefantrine.
- Assess the proportion of children who remain parasitaemic on day three after starting treatment.
- Detect molecular markers associated with resistance to antimalarial medicines.
- Characterise emerging resistance to artemisinin derivatives and partner medicines.
- Develop evidence to support targeted malaria-control interventions.
- Strengthen research capacity in geospatial epidemiology, molecular surveillance and climate-related health research.
Study design
GTS-MACS is a multidisciplinary observational research programme with three interconnected components:
- Geospatial and temporal surveillance of malaria cases.
- Clinical monitoring of parasite clearance following malaria treatment.
- Molecular surveillance of antimalarial drug-resistance markers.
The study combines routine health-facility data, participant information, laboratory results, geographical data and climatic variables.
Geospatial and temporal surveillance
The geospatial component examines how malaria cases are distributed across geographical locations and how these patterns change over time.
Malaria data are analysed alongside environmental variables such as:
- Temperature
- Rainfall
- Humidity
- Season
- Geographical location
- Health-facility catchment area
This information is used to produce malaria-risk maps and identify geographical areas where climate-related conditions may be contributing to increased or sustained malaria transmission.
The mapping component is intended to help malaria programmes allocate resources more effectively and target surveillance, prevention and treatment activities toward the most affected communities.
Parasite-clearance component
Children with uncomplicated malaria who receive artemether-lumefantrine are monitored to determine how quickly malaria parasites disappear from their blood.
The study particularly examines the presence or absence of parasites on day three after treatment begins. Delayed parasite clearance can provide an early warning of reduced parasite susceptibility to artemisinin-based medicines.
Parasite-clearance findings are considered together with molecular-resistance results to provide a broader understanding of treatment response. The presence of parasites on day three does not, by itself, confirm treatment resistance and must be interpreted alongside adherence, medicine exposure, parasite density and genetic findings.
Molecular-surveillance component
The molecular component examines Plasmodium falciparum genetic mutations associated with reduced susceptibility or resistance to antimalarial medicines.
The genes investigated include:
- Pfk13: associated with partial resistance to artemisinin derivatives
- Pfdhfr: associated with pyrimethamine resistance
- Pfdhps: associated with sulfadoxine resistance
- Pfcrt: associated with chloroquine resistance
- Pfmdr1: associated with altered susceptibility to several antimalarial medicines
Blood samples collected from children with confirmed malaria are stored as dried blood spots. Parasite DNA is extracted and analysed using Molecular Inversion Probes and high-throughput sequencing.
Study population
The published molecular-surveillance component enrolled children aged two months to 12 years who attended participating hospitals with uncomplicated malaria.
Children were eligible when malaria was:
- Initially detected using a malaria rapid diagnostic test; and
- Confirmed as Plasmodium falciparum infection by microscopy.
Participation required informed consent from a parent or caregiver and assent from children where applicable.
Study sites
The molecular-surveillance component included four Ugandan hospitals:
- Mbale Regional Referral Hospital
- Soroti Regional Referral Hospital
- Moroto Regional Referral Hospital
- Apac General Hospital
These sites represent areas with differing malaria-transmission patterns in Eastern, Northeastern and Northern Uganda.
Data and sample collection
Study data include:
- Participant age and sex
- Residence and geographical location
- History of fever
- Previous use of antimalarial medicines
- Malaria rapid diagnostic-test results
- Microscopy results and parasite density
- Treatment provided
- Parasite-clearance results
- Molecular-resistance markers
- Temperature, rainfall and humidity data
- Spatial and temporal malaria patterns
For molecular analysis, blood was collected by venepuncture and applied to filter paper to produce dried blood spots. Samples were transported to the Uganda Ministry of Health’s Central Public Health Laboratory for DNA extraction, sequencing and analysis.
Molecular-surveillance sample
Between February and August 2024, the study collected 200 dried blood-spot samples:
- Mbale: 81 samples
- Moroto: 50 samples
- Apac: 49 samples
- Soroti: 20 samples
Sequencing success varied among sites because some samples contained very low parasite densities.
Preliminary and published findings
The study generated a malaria epidemiological map demonstrating variations in malaria distribution in relation to temperature, rainfall and humidity.
The molecular component detected Pfk13 mutations associated with emerging partial artemisinin resistance. The A675V mutation was identified at varying levels, including approximately:
- 23.1% in Soroti
- 7.0% in Mbale
- 2.9% in Moroto
- No detected A675V mutants in Apac
The Pfk13 C469Y mutation was also detected across the study locations. Other important mutations, including R561H and C580Y, were not detected in the analysed samples.
These molecular findings suggest that resistance-associated parasite populations differ geographically and require continued surveillance.
Antifolate-resistance findings
The study found a high prevalence of mutations in the Pfdhfr and Pfdhps genes. These mutations are associated with resistance to sulfadoxine-pyrimethamine.
The widespread presence of combinations of these mutations suggests substantial antifolate-drug resistance across the study areas. This is particularly important because sulfadoxine-pyrimethamine continues to have a role in malaria prevention for selected populations, including pregnant women.
Other resistance markers
The Pfcrt K76T mutation associated with chloroquine resistance was uncommon. Most samples carried the wild-type allele, potentially reflecting reduced selection pressure following the withdrawal of chloroquine from routine malaria treatment.
Most Pfmdr1 markers were also predominantly wild type, although some geographical variation was observed. These markers require continued monitoring because changes may affect parasite susceptibility to partner medicines such as lumefantrine.
The findings were published in Malaria Journal in June 2025. Read the molecular-surveillance publication.
Interpretation of the findings
The detection of resistance-associated mutations does not automatically mean that every child carrying these parasites will experience treatment failure. Molecular markers are warning indicators that should be interpreted alongside parasite-clearance rates and therapeutic-efficacy studies.
The geographical variation observed by GTS-MACS demonstrates the importance of conducting surveillance at regional and district levels. National estimates may conceal important local differences in parasite populations, treatment response and malaria-transmission intensity.
The relatively small number of samples successfully sequenced at some sites, particularly Soroti, limits the generalisability of the resistance estimates. Larger and repeated studies are therefore required to confirm trends.
Importance of the study
GTS-MACS provides a framework for bringing together information that is often analysed separately:
- Routine malaria cases
- Climate and environmental conditions
- Geographical disease distribution
- Clinical treatment response
- Parasite genetic characteristics
This integrated approach can help health authorities anticipate changes in malaria transmission, identify resistance hotspots and design interventions suited to particular districts and communities.
The project is also strengthening national capacity in molecular surveillance, geographical information systems, data analysis and climate-sensitive disease monitoring.
Capacity-building activities
In addition to its research objectives, GTS-MACS has supported the development of:
- A postgraduate curriculum in clinical and health research methods
- An undergraduate curriculum in environmental health
- Skills in geospatial analysis and disease mapping
- Capacity for malaria molecular-resistance testing
- Collaboration among universities, research institutions, hospitals and public-health laboratories
Preliminary findings have been shared with researchers, healthcare providers and policymakers through scientific meetings, online dissemination activities and conferences. Read the Busitema University project update.
Study leadership
The Principal Investigator is Professor Peter Olupot-Olupot, who conceptualised the study and led its design and implementation.
The research team includes investigators from Mbale Clinical Research Institute and Busitema University, including:
- Professor Peter Olupot-Olupot
- George Paasi
- Jimmy Patrick Alunyo
- William Okiror
- Charles Benard Okalebo
- Dr Paul Ongodia
- Denis Amorut
Additional site, laboratory and technical investigators contributed from participating hospitals, the Central Public Health Laboratory and the Infectious Diseases Research Collaboration.
Collaborating institutions
The participating and collaborating organisations include:
- Mbale Clinical Research Institute
- Busitema University
- Mbale Regional Referral Hospital
- Soroti Regional Referral Hospital
- Moroto Regional Referral Hospital
- Apac General Hospital
- Uganda Ministry of Health Central Public Health Laboratory
- Infectious Diseases Research Collaboration
- MEPIE Study
- EDCTP2 programme
Funding
The study has received support from:
- Busitema University Research and Innovation Fund, financial year 2023/2024, under grant agreement BURIF/MGC/08/2023/4
- MEPIE Study, under the EDCTP2 programme supported by the European Union, grant TMA2016SF-1514-MEPIE
- Mbale Clinical Research Institute, supported by the Wellcome Trust through Imperial College London
Ethical and regulatory approval
The study received approval from:
- Mbale Regional Referral Hospital Research Ethics Committee: MRRHREC-OUT-011/2020
- Uganda National Council for Science and Technology: HS3725ES
Parents or caregivers provided informed consent before children participated. Assent was obtained from children who were old enough to provide it.
Study status
GTS-MACS is an ongoing study. The UNCST record lists the study period as February 2024 to February 2027.
The geospatial mapping component and an initial phase of molecular-resistance analysis have been completed. Parasite-clearance analysis, continued surveillance, validation of findings and dissemination activities form part of the ongoing research programme. View the UNCST study record.
Key publication