In this section
@article{Kucharski:2024:10.1016/j.epidem.2024.100784,
author = {Kucharski, A and Cori, A},
doi = {10.1016/j.epidem.2024.100784},
journal = {Epidemics: the journal of infectious disease dynamics},
title = {Inference of epidemic dynamics in the COVID-19 era and beyond},
url = {http://dx.doi.org/10.1016/j.epidem.2024.100784},
volume = {48},
year = {2024}
}
TY - JOUR
AB - The COVID-19 pandemic demonstrated the key role that epidemiology and modelling play in analysing infectious threats and supporting decision making in real-time. Motivated by the unprecedented volume and breadth of data generated during the pandemic, we review modern opportunities for analysis to address questions that emerge during a major modern epidemic. Following the broad chronology of insights required — from understanding initial dynamics to retrospective evaluation of interventions, we describe the theoretical foundations of each approach and the underlying intuition. Through a series of case studies, we illustrate real life applications, and discuss implications for future work.
AU - Kucharski,A
AU - Cori,A
DO - 10.1016/j.epidem.2024.100784
PY - 2024///
SN - 1755-4365
TI - Inference of epidemic dynamics in the COVID-19 era and beyond
T2 - Epidemics: the journal of infectious disease dynamics
UR - http://dx.doi.org/10.1016/j.epidem.2024.100784
UR - https://www.sciencedirect.com/science/article/pii/S1755436524000458
UR - http://hdl.handle.net/10044/1/113562
VL - 48
ER -
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