The Infectious Disease Ecology and Modelling team led by Professor Nick Golding, combines mathematical and statistical modelling, ecology, and public health to address malaria and other infectious and vector-borne diseases. The team uses modelling and maps to measure the risk posed by some of the world’s most important and neglected diseases – including malaria, Japanese Encephalitis Virus and COVID-19 – and provide rapid modelling analyses to policy makers.
The Infectious Disease Ecology and Modelling Team
Combining mathematical and statistical modelling, ecology, and public health to address malaria and other infectious and vector-borne diseases
Popular repositories Loading
Repositories
Showing 10 of 26 repositories
- map-ir-pipeline Public
Prototype demonstration of stacked generalisation method used in https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000633#sec010
idem-lab/map-ir-pipeline’s past year of commit activity - vector_atlas_training_2024 Public
idem-lab/vector_atlas_training_2024’s past year of commit activity - epiwave.pipelines Public
idem-lab/epiwave.pipelines’s past year of commit activity - epiwave.params Public
idem-lab/epiwave.params’s past year of commit activity - traveltime Public
idem-lab/traveltime’s past year of commit activity
