BackgroundHealth care planners need to predict demand for hospital beds to avoid deterioration in health care. Seasonal demand can be affected by respiratory illnesses which in England are monitored using syndromic surveillance systems. Therefore, we investigated the relationship between syndromic data and daily emergency hospital admissions.
MethodsWe compared the timing of peaks in syndromic respiratory indicators and emergency hospital admissions, between 2013 and 2018. Furthermore, we created forecasts for daily admissions and investigated their accuracy when real-time syndromic data were included. OPEN ACCESS Citation: Morbey RA, Charlett A, Lake I, Mapstone J, Pebody R, Sedgwick J, et al. (2020) Can syndromic surveillance help forecast winter hospital bed pressures in England? PLoS ONE 15(2): e0228804. https://doi.org/10.