2026-09-18T19:19:56Zhttps://api.repository.cam.ac.uk/server/oai/request

oai:www.repository.cam.ac.uk:1810/3916232025-10-31T01:48:35Zcom_1810_221769com_1810_256062col_1810_221770

Examining the use of infectious disease modelling in outbreak response https://doi.org/10.17863/CAM.122683 Hadley, Liza Restif, Olivier Infectious disease modelling has been brought to the forefront of national public health decision making during the Covid-19 pandemic. While the field is highly technically developed, transformation of insights from infectious disease modelling into policy in a clear, timely, and relevant manner is oftentimes less thoroughly considered than its academic and technical counterparts. This PhD examines the use and utility of modelling in different country settings in three recent outbreaks. The first two research chapters are primarily technical modelling chapters while the third is a unique qualitative study assessing the role of modelling in Covid-19 policy. Overall, the thesis aims to assess current practices on the use and translation of outbreak modelling for policy, from first- and second-hand experience, and introduce preliminary guidelines for future best practice. University of Cambridge 2024-06-14 Thesis Doctoral Doctor of Philosophy (PhD) eng Wellcome Trust (block grant no. RG92770). https://www.repository.cam.ac.uk/handle/1810/391623 https://www.repository.cam.ac.uk/bitstreams/6f25a01c-441a-4add-be90-f5135981ddbd/download 0284e2a7045536ead88fea951c6aa5da https://www.repository.cam.ac.uk/bitstreams/e8d92c60-71e4-49ea-b564-e075ab60e81a/download 87eda9de84448d1f82354d60eee3eb5f https://creativecommons.org/licenses/by/4.0/ communication COVID-19 infectious diseases Meningitis modelling outbreak policy vaccine