The value of hospital data for covid-19 pandemic surveillance and planning
preprint
OA: closed
Abstract
Hospital data for covid-19 surveillance, planning and modelling are challenging to find well into the pandemic. Data for new covid-19 admissions are particularly challenging to find. Accurate hospital data are the best source of information for short-term forecasts of health care capacity, and they improve long-term covid-19 models that are typically based on cases. We describe the role of hospital data for studying covid-19, why admission data are hard to find, and how improved data infrastructure can meet surveillance and planning needs over the next year. Critical infrastructure includes a well-maintained list of patients hospitalized with covid-19 that is integrated with public health information systems.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00