Institute for Global Health


Lydia Franklinos

Lydia's thesis title is "Dynamic modelling of vector-borne disease transmission under current and future scenarios of global change."

Her primary supervisor is Professor Ibrahim Abubakar.

To get in touch with Lydia, please email her at lydia.franklinos.16@ucl.ac.uk.

About Lydia

Lydia Franklinos UCL
Lydia is studying for a PhD in disease modelling at after having secured funding from the UK Natural Environment Research Council funded by the Natural Environment Research Council (NERC). Lydia is a keen advocate of cross-disciplinary research which is reflected in her supervisory team that consists of Professor Ibrahim Abubakar at the Institute for Global Health and Professor Kate Jones and Dr David Redding based at UCL's Centre for Biodiversity and Environment Research. 

Prior to her PhD, Lydia worked as veterinarian and has experience across the disciplines of epidemiology and conservation research. She worked as a project coordinator at the Institute of Zoology London’s wildlife epidemiology project, conducting disease surveillance for zoonotic diseases and produced reports that contributed to the evidence base for the U.K. government’s Department for Environment, Food and Rural Affairs national wildlife disease surveillance scheme.

Thesis summary

The global burden of mosquito-borne diseases has dramatically changed over the past few decades with many diseases expanding in their geographic distribution and incidence. Despite increasing awareness that climate change may be implicated, the exact drivers of mosquito-borne disease expansion remain poorly understood. Therefore, there is a great need to determine the drivers and their relative importance and interaction to predict disease risk and so inform policy makers who are responsible for safeguarding public health under anticipated future global changes. 
My research aims to investigate the impacts of global change processes such as climate change and land-use change, on mosquito-borne disease risk with the intention of informing intervention strategies over national and regional scales. I will use environmental-mechanistic models that incorporate vector ecology, behaviour, spatial and temporal variability to determine hotspots for a subset of globally significant mosquito-borne diseases. The results may be used to inform public health bodies on how best to target interventions to safeguard global health.