Kelvin Chikosi
- Studies
- Master of Science in Public Health and Health Equity 2025-2026
- From
- Zimbabwe
- Background
- Health Economist
I am Kelvin Tafadzwa Chikosi from Zimbabwe. I graduated with Bachelor of Science (Honours) in Economics at the University of Zimbabwe and worked as a Health Economist at a NGO and at a local hospital. I have been privileged to be part of a collaboration between the Zimbabwean Ministry of Health and donors to tackle high maternal and child mortality rates. During my professional journey, I witnessed the profound health disparities for marginalized populations, specifically gaps within Sexual and Reproductive Health and Rights.
Sustainable financial modelling to neutralize sudden aid cuts in Zimbabwe
Zimbabwe health care system is in a fragile state due to weak policy framework, inadequate financial resources, brain drain and dilapidated infrastructure. The country has one of highest AIDS prevalence rate and maternal death rate in the Southern Africa region. Moreover, the health sector is donor dependent – particularly HIV/AIDS programs which have been affected by the USAID funding cuts. Thus, there is an urgent need for sustainable financial modelling to neutralize the effect of sudden aid cuts.
Databased policies to improve health disparities
The Master programme at KIT will furnish me with requisite skills and knowledge. This expertise will allow me to design and implement data-based policies that uproot underlying causes of health disparities and improve health outcomes. I expect the postgraduate program to strengthen my understanding of public health, which will allow me to propose the integration SRHR-issues into broader health policies, especially addressing the issues in non-communicable diseases.
It is my lifelong ambition to advocate for the establishment of National Health Data Centre to eradicate the paucity of health data. Because this will be critical in formulating sustainable health policies and tacking health inequalities.
“ There is an urgent need for sustainable financial modelling to neutralize the effect of sudden aid cuts. ” ”
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