Dear all,

we are looking for datasets to do some data driven modelling to compare with our theoretical

model, for simulating COVID-19 patient behaviour (hyper-inflammation).

Ideally, the dataset should contain the following records (below) with hourly timestamps from patient admission up to 480 hours after admission. Also the patient profile on admission.

We will of course reference the source of the data in our publication and keep you posted of our work.

Thanks a lot,

David Nettleton

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(1) Time (hours)

(2) virulence (e.g. low, medium, high: indicating thresholds)

(3) Patient precondition (e.g. good, medium, bad: indicating thresholds)

(4) Viral load (e.g. low, medium, high: indicating thresholds)

(5) Inflammatory (M1) Alveolar Macrophages

(6) IL6

(7) Active Adaptive Immune System

(8) Immunosupressed (M2) Alveolar macrophages

(9) Resting Alveolar Macrophages

(10) Delayed IL6

(11) Un-Infected Lung Tissue

(12) Infected Lung Tissue

(13) Destroyed Lung Tissue

(14) Interferon Strength

(15) PAMPs

(16) Resting Adaptive Immune System

(17) T-cell Interferon

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