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Optimal algorithms for controlling infectious diseases in real time using noisy infection data

2024-05-25

Abstract excerpt

Deciding when to enforce or relax non-pharmaceutical interventions (NPIs) based on real-time out-break surveillance data is a central challenge in infectious disease epidemiology. Reporting delays and infection under-ascertainment, which characterise practical surveillance data, can misinform decision-making, prompting mistimed NPIs that fail to control spread or permitting deleterious epidemic peaks that overload...

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Identifiers and source

Literature Corpus work
b07a18cd-d0ea-5839-8433-eb563a8c1edb
DOI
10.1101/2024.05.24.24307878
Open publication

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Optimal algorithms for controlling infectious diseases in real time using noisy infection dataDOI 10.1101/2024.05.24.24307878
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