Vector Biology Group

Clinton Nkolokosa

Overview

Clinton is a Master’s Fellow within the Vector Biology group. He holds an MSc in Geographical Information Systems (with distinction) from Sheffield Hallam University, UK. In 2021, he was awarded the Wellcome International MSc training fellowship entitled Measuring the impacts of past, present and future environmental changes on schistosomiasis transmission in southern Malawi (SCHISTO-ENV). His work is transformative and focuses on advanced spatial analysis in environmental and health, and in the intersection of these research areas to inform scientific research and decision making. This includes the application of remote sensing and predictive environmental modelling and mapping to uncover mosquito larval and snail-schistosome distributions and flood dynamics in a changing climate. His particular focus is developing and using cutting-edge geospatial statistical tools to help improve capacity for prevention, preparedness and response to public health, climate and environmental risks. For example, application of novel remote sensing and machine learning in land use change modelling under several climate change scenarios across constrained settings (here).

 

Previously, as a pre-Masters intern at MLW (2019 – 2020), Clinton has explored various aspects of these areas:

 

 


Projects

Projects

  1. https://github.com/ClintyNkolokosa/Analysis-of-dry-season-malaria-cases-in-Kasungu
  2. https://afrimapr.github.io/afrimapr.website/team/
  3. https://nkolokosa.shinyapps.io/FloodMapper/?_ga=2.268629302.615703065.1643593552-679779059.1640993443
  4. https://github.com/ClintyNkolokosa/Species-distribution-modelling-of-endangered-Acinonyx-jubatus
  5. https://storymaps.arcgis.com/stories/5cbe893b12e34998af126b0520524aad