There was great uncertainty on how the spread of Covid-19 would proceed in spring of 2020. Different models that were published showed large differences in predictions and there was a need for creating short term prognoses based on easily obtainable data sources. In the article ‘Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020’ describes the work on developing forecasts based on 1177-data, that contributed to the analysis of the Covid-19 situation in Region Östergötland.
Armin Spreco, Anna Jöud, Olle Eriksson, Kristian Soltesz, Reidar Källström, Örjan Dahlström, Henrik Eriksson, Joakim Ekberg, Carl-Oscar Jonson, Carl-Johan Fraenkel, Torbjörn Lundh, Philip Gerlee, Fredrik Gustafsson, and Toomas Timpka
Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020.
Emerging Infectious Diseases. 2022;28(3):564-571. doi:10.3201/eid2803.210267.