Project Description: This project aims to understand why malaria-transmitting mosquitoes appear to age differently depending on their environment. This is crucial for estimating risks to human populations and effectiveness of vector control programmes, as only old female mosquitoes can transmit malaria. We will test which ecological factors among nutrition, temperature, and humidity best explain and predict such variability using infrared spectroscopy, machine learning, and causal inference modelling. This will help generalise our current models across environments and... This project aims to understand why malaria-transmitting mosquitoes appear to age differently depending on their environment. This is crucial for estimating risks to human populations and effectiveness of vector control programmes, as only old female mosquitoes can transmit malaria. We will test which ecological factors among nutrition, temperature, and humidity best explain and predict such variability using infrared spectroscopy, machine learning, and causal inference modelling. This will help generalise our current models across environments and inform future vector control strategies.
Principal Investigator : Fredros Okumu
Department Name :
Time frame: (2020-08-01) - (2021-08-31)