Ontology highlight
ABSTRACT:
SUBMITTER: Won M
PROVIDER: S-EPMC5291378 | biostudies-literature | 2017 Feb
REPOSITORIES: biostudies-literature
PLoS computational biology 20170203 2
Every year, influenza epidemics affect millions of people and place a strong burden on health care services. A timely knowledge of the onset of the epidemic could allow these services to prepare for the peak. We present a method that can reliably identify and signal the influenza outbreak. By combining official Influenza-Like Illness (ILI) incidence rates, searches for ILI-related terms on Google, and an on-call triage phone service, Saúde 24, we were able to identify the beginning of the flu se ...[more]