Collaborative nowcasting of COVID-19 hospitalization incidences in Germany.
Ontology highlight
ABSTRACT: Real-time surveillance is a crucial element in the response to infectious disease outbreaks. However, the interpretation of incidence data is often hampered by delays occurring at various stages of data gathering and reporting. As a result, recent values are biased downward, which obscures current trends. Statistical nowcasting techniques can be employed to correct these biases, allowing for accurate characterization of recent developments and thus enhancing situational awareness. In this paper, we present a preregistered real-time assessment of eight nowcasting approaches, applied by independent research teams to German 7-day hospitalization incidences during the COVID-19 pandemic. This indicator played an important role in the management of the outbreak in Germany and was linked to level
SUBMITTER: Wolffram D
PROVIDER: S-EPMC10446237 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature
ACCESS DATA