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COVID-19: Mechanistic model calibration subject to active and varying non-pharmaceutical interventions
2020-09-11
epidemiology
Title + abstract only
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Mathematical models are useful in epidemiology to understand the COVID-19 contagion dynamics. Our aim is to demonstrate the effectiveness of parameter regression methods to calibrate an established epidemiological model describing COVID-19 infection rates subject to active and varying non-pharmaceutical interventions (NPIs). To do this, we assess the potential of some established chemical engineering modelling principles and practice for application to modelling of epidemiological systems. This ...
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