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
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- map-ir-pipeline Public
Prototype/pseudo code demonstrating 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 - epiwave.pipelines Public
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idem-lab/traveltime’s past year of commit activity - idem-lab.r-universe.dev Public
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