An analecta of visualizations for foodborne illness trends and seasonality.
Ontology highlight
ABSTRACT: Disease surveillance systems worldwide face increasing pressure to maintain and distribute data in usable formats supplemented with effective visualizations to enable actionable policy and programming responses. Annual reports and interactive portals provide access to surveillance data and visualizations depicting temporal trends and seasonal patterns of diseases. Analyses and visuals are typically limited to reporting the annual time series and the month with the highest number of cases per year. Yet, detecting potential disease outbreaks and supporting public health interventions requires detailed spatiotemporal comparisons to characterize spatiotemporal patterns of illness across diseases and locations. The Centers for Disease Control and Prevention's (CDC) FoodNet Fast provides populat
SUBMITTER: Simpson RB
PROVIDER: S-EPMC7553952 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA