Masters students


Student

Chilochibi Chiziba
Home country: Zambia
Email: CHZCHI003@myuct.ac.za

Proposed malaria research
Optimizing malaria interventions to eliminate Malaria in under-five children in Zambia amidst constrained resources.

Study focuses on the application of mathematical modelling of malaria transmission to predict the impact of targeted intervention strategies and their cost effectiveness on malaria burden in under-five children in Zambian at health facility catchment level. 

Interests
mathematical, spatial-temporal, and economic-epidemiological modelling.


Student Gladstone Thabo Madito

Gladstone Thabo Madito
Home country: South Africa
Email: MDTGLA001@myuct.ac.za 

Proposed malaria research
Sustainability of malaria elimination in Limpopo province, South Africa

Modelling the transmission of malaria at district level to access the impact vector control interventions in the province to mobilize financial resources for continued support in an elimination setting. Investigation of various strategies for a cost-effective implementation of vector control measures will be conducted. Long-term challenges posed by insecticide and malaria drug resistance, as well as changing climate conditions will be examined.


Student Kounoumi Sara MEDEKON

Kounoumi Sara MEDEKON 
Home country: Benin Republic
Email: MDKKOU001@myuct.ac.za

Proposed malaria research
Optimal control of malaria interventions for the elimination of malaria by 2030 in Benin Republic.

The Benin Republic is significantly affected by malaria for decades. The burden is so high and required optimal strategies to achieve an elimination goal. Benin policymakers are aware of the malaria burden in Benin Republic and are putting all their efforts together to reach the same goal: Eliminate malaria in Benin Republic by 2030. This research aims to help Benin policymakers to eliminate Malaria in Benin Republic by 2030, by reducing optimally the resources and the strategies that are going to be used to do that. A mathematical model will be implemented and analysed through an optimal control approach. This optimal control approach will help us identify the best intervention strategies that can help to eliminate the disease in the specified time (2030).


Student Mussagy Mahomed

Mussagy Mahomed
Home country: Mozambique
Email: MHMMUS013@my.utc.ac.za 


Proposed malaria research
Geospatial and mathematical dynamic modelling analysis of malaria transmission and simulation of potential areas risk of the disease in Mozambique: under climate change scenarios.

Study will be conducted, using secondary data from demographic and health surveys and routine surveillance systems that contain key malaria indicators and population projections. Geospatial and Mathematical modelling is proposed to analyse the spread of malaria, considering heterogeneous characteristics, climate change and human mobility. Mathematical modelling analysis will be performed, and numerical simulations will be obtained for optimization of several cost-effective interventions in different scenarios using a stratified risk map of malaria transmission.

Interests:
Geospatial, mathematical, and economic-epidemiological modelling of infectious disease, dynamics in complex system.


Student Sena Alohoutade

Sena Alohoutade        
Home country: Benin 
Email address: ALHSEN001@myuct.ac.za    

Proposed malaria research
Modelling the impact and cost effectiveness of a mix of interventions with border control for malaria elimination in Benin

Modelling the impact and cost effectiveness of IPTp with SMC in children (from 3 to 59 months) and border control in order to improve the availability of fundings and drugs at scale towards malaria elimination in Benin.
Furthermore, investigation on the implementation of vaccination (in children) will be conducted.


Student Thabo Bogopa

Thabo Bogopa 
Home country: Botswana             
Email: BGPTHA001@myuct.ac.za

Proposed malaria research
The aim of my research is to;

To model the malaria interventions in each of the malaria endemic districts in Botswana to estimate the time to elimination of malaria in each of the district.
To model factors that could impede the elimination of Plasmodium falciparum malaria in Botswana
To model factors for the re-introduction of Plasmodium falciparum once elimination has been achieved in Botswana.