The “missing ingredient” to get ahead of outbreaks

  • Data from mildly symptomatic individuals — well before they see a doctor or go to the lab.
  • Data on how fast an illness spreads in the home or in school — a good indication of how fast it will spread in the community.
  • Data from underserved communities — these families are often larger and underinsured, seeking care late or not at all.
Kinsa forecasts seasonal flu weeks in advance, and sees emerging epidemics weeks earlier than others.

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