Dr Luca Nelli
- Research Associate (Institute of Biodiversity Animal Health & Comparative Medicine)
2020 - present: Research Associate, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow (seconded as Research Fellow to the London School of Hygiene and Tropical Medicine).
2016 - 2020: Research Associate, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow.
2013-2015: Postdoctoral Research Fellow, Dept. of Earth and Environmental Sciences, University of Pavia (Italy).
2009-2012: PhD in Experimental Ecology, University of Pavia (Italy).
I am a quantitative ecologist with interest in modelling spatially explicit processes in ecology and epidemiology. My key interest is the use of appropriate spatio-temporal statistical methods to make inference from imperfect and opportunistic data (such as citizen science data or passive case detection from health surveillance systems) in wildlife conservation and public health.
For my main research project, I'm collaborating with the London School of Hygiene and Tropical Medicine within a research programme funded by the Bill & Melinda Gates Foundation, entitled “Freedom from Infection – Confirming the Interruption of Malaria Transmission (FREEDOM)”. The programme seeks to investigate whether tools developed for confirming the absence of infection in veterinary epidemiology can be applied to malaria, and will provide key evidence as to whether and how these tools can be best used to guide decision-making when driving towards and confirming malaria elimination.
As a parallel project, I am modelling the spatiotemporal heterogeneity in malaria risk in Burkina Faso using spatially explicit Bayesian models, within the Wellcome Trust project “Malaria in Insecticide Resistance Africa (MIRA)”. My main goal is to quantify the relative contribution of different covariates in the emergence of spatial patterns of malaria, including vector-related (mosquito behavior, insecticide resistance) and environmental factors (human density, habitat and landscape characteristics).
In addition to my main research, I am involved in several other collaborative projects on species distribution and connectivity models of a range of taxa such as insects, birds of prey, fishes, ungulate and rodents.
Google Scholar: https://scholar.google.com/citations?user=lPuGm8YAAAAJ&hl=en