Forecasting the daily number of near-term Covid-19 admissions has been a vital part of hospital planning during the pandemic.
Artificial intelligence (AI) and mobile network data can deliver an accurate forecasting model of near-term Covid-19 patient admissions 14-to-21 days ahead of time. The AI model developed by telecommunications companies Ericsson, Telia was put to trial in Swedish hospitals.
‘Forecasting the daily number of near-term Covid-19 admissions has been a vital part of hospital planning during the pandemic.’
The AI experts first developed and tuned predictive models through a training phase to identify how each predictive model performed across various forecasting windows. Once the best performing predictive models and settings were identified, the experts retrained the models using all data, producing a reliable 14-to-21 day Covid-19 admissions forecast, which could be delivered every week.
The predictive models are also tuned to consider external factors such as vaccination data.
The forecast indicators produced throughout the trial have been considered, combined and weighed against multiple other sources of information to form the basis of the hospitals' Covid-19 prognoses.
Other relevant indicators are the fraction of positive PCR-tests, the change in commute pattern (using data from the Vasttrafik transport authority), and the change in the overall mobility in heavy-traffic areas such as shops and offices.
Advertisement
Advertisement
Source-IANS