Author: Jose Manuel Rodriguez Llanes; Rafael Castro Delgado; Morten Gram Pedersen; Pedro Arcos Gonzalez; Matteo Meneghini
Title: Confronting COVID-19: Surging critical care capacity in Italy Document date: 2020_4_6
ID: fpp8osgs_8
Snippet: We identified two types of approaches. The first set combines clinical data, such as percentage of COVID-19 patients using an ICU bed before study cutoff (16) or epidemiological data, i.e. daily numbers of occupied critical care beds out of active laboratory confirmed cases (15) , supplemented with exponential prediction models (15, 16) . In one report, the number of patients who were actively infected were fitted to an exponential model. The sam.....
Document: We identified two types of approaches. The first set combines clinical data, such as percentage of COVID-19 patients using an ICU bed before study cutoff (16) or epidemiological data, i.e. daily numbers of occupied critical care beds out of active laboratory confirmed cases (15) , supplemented with exponential prediction models (15, 16) . In one report, the number of patients who were actively infected were fitted to an exponential model. The same model exponent was used to fit the number of patients in intensive care units. In another report, a linear and exponential models were fitted to the number of ICU bed admissions expected. Importantly, none of the predictions made did match ground data few days later (15, 16) .
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