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Thesis

Interdisciplinary modelling and analysis of infectious diseases

Abstract:

Infectious diseases pose substantial and continuous threats to global health. From the Black Death to the influenza pandemics, and more recently COVID-19, the impacts of infectious disease outbreaks have long highlighted the need for a quantitative understanding of epidemic dynamics. Epidemiological modelling is about providing such an understanding. As data are always imperfect, models are also imperfect, yet models remain useful tools that create manageable abstractions of reality to quanti...

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author

Contributors

Role:
Supervisor
ORCID:
0000-0002-0195-2463
Role:
Supervisor
Role:
Supervisor


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Funder identifier:
https://ror.org/0439y7842
Grant:
2747660


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


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