Airfinity forecasting platform

FRIDA™

Forecasts for Respiratory ID

See how respiratory disease will evolve — before it happens.

FRIDA™ delivers accurate, real-time forecasts of infectious disease dynamics across key respiratory pathogens. Built on backtested epidemiological models and Airfinity’s global data infrastructure, it gives teams clear short- and medium-term visibility into disease spread.

Respiratory disease dynamics

Live forecast

Forecast

Short + medium term

Markets

Global coverage

Diseases

Influenza, RSV, hMPV, COVID-19, ILI, ARI & SARI

The challenge

Markets don’t wait

Respiratory markets shift quickly across seasons and geographies.

Forecasts lag

Teams rely on static, fragmented data that is quickly outdated.

Decisions suffer

Missed demand signals lead to inefficiencies and reactive planning.

Key FRIDA features

A continuously updated view of disease dynamics.

FRIDA combines global epidemiological data with advanced modelling to deliver accurate, granular forecasts that update as new signals emerge.

Anticipate peaks

Track how influenza, COVID-19, hMPV, and RSV are expected to evolve across key markets.

Compare waves

Understand how respiratory disease waves overlap and interact over time.

AI layer

Interrogate disease dynamics, model assumptions and underlying data with an AI-powered layer.

Sales forecasts

Back-test your sales data, determine the impact of respiratory disease waves and forecast sales more accurately.

Use cases

Built for teams making high-stakes respiratory decisions.

FRIDA helps commercial, clinical, supply chain and public health teams move earlier, reduce uncertainty and make better-informed decisions before respiratory disease peaks.

Vaccine producers

FRIDA gives respiratory vaccine producers a competitive edge.

Better disease forecasts increase the impact of your vaccines — and help save lives.

The challenge

Campaigns are not aligned with disease transmission, inventory is mismatched to demand and clinical trials become more expensive when disease timing shifts unexpectedly.

Stronger health authority partnerships

Improve campaign timing, maximise uptake and strengthen the health economics case for vaccines.

Leaner inventory

Align production capacity and logistics to real seasonal demand signals.

Reduced clinical trial costs

Use forecasts to optimise site selection and accelerate patient recruitment.

Higher marketing ROI

Deploy earlier and target markets with greater confidence.

Therapeutics & consumer health

Turn disease intelligence into operational advantage.

FRIDA helps respiratory treatment producers improve forecasting across production, supply and commercial planning.

The challenge

Demand signals arrive too late, season forecasts lag reality and commercial teams lack reliable leading indicators.

Supply chain planning

Align production capacity and logistics to actual season timing and severity.

Better-timed activity

Deploy marketing and sales activity earlier and with greater confidence.

Demand signal correlation

Identify which disease metrics best predict product demand.

Optimised inventory

Reduce costly oversupply and avoid shortages during severe seasons.

Diagnostics companies

Earlier visibility of testing demand.

Anticipate testing demand before it peaks and align supply, sales and distribution accordingly.

The challenge

Testing demand is reactive, inventory mismatches create waste and commercial activity often deploys too late.

Anticipate demand

See where and when respiratory disease is expected to peak.

Inventory optimisation

Model multiple demand scenarios to reduce overstocking and shortages.

Smarter deployment

Time affiliate and in-market activity ahead of disease peaks.

Leading indicators

Identify which metrics best predict testing demand across markets.

Public health agencies

The foresight to act earlier and protect more lives.

From hospital capacity planning to vaccination timing — make earlier, better-informed decisions.

The challenge

Hospital surges arrive quickly, campaigns launch too late and antiviral stockpiles are difficult to calibrate accurately.

Hospital capacity planning

Forecast admissions earlier to improve staffing and ICU readiness.

Vaccination timing

Launch campaigns ahead of peak transmission windows.

Optimised stockpiling

Calibrate antiviral procurement to expected season severity.

Early warning signals

Track seven respiratory pathogens simultaneously across markets.

Coverage

Forecast key respiratory diseases.

FRIDA delivers detailed forecasts across major respiratory disease markets, with expanding regional and local coverage. 15 largest markets covered and more countries can be added on request.

Influenza

Symptomatic case forecasts across key markets.

COVID-19

Disease dynamics, hospitalisations and deaths where available.

RSV

Forward-looking insight into seasonal burden and market demand.

hMPV

Expanding visibility into emerging respiratory disease dynamics.

ILI/ARI

Track broader respiratory illness trends to contextualise disease activity.

Why Airfinity

Powered by infectious disease intelligence.

FRIDA is built on over a decade of infectious disease expertise, proprietary data streams and continuously refined forecasting models.

Built on OneID data streams.

FRIDA leverages Airfinity’s structured global data infrastructure to provide a more complete and continuously updated view of respiratory disease dynamics.

Backtested for accuracy.

Our models have been developed over years and tested against advanced internal approaches, giving teams confidence in the forecasts they use to plan.

Explore FRIDA

Act earlier.

FRIDA gives teams the clarity they need to stay ahead of respiratory disease dynamics — and the confidence to act on it.

Enterprise-grade security

Flexible integrations

Fast onboarding

Request a demo

Tell us about your team and we’ll tailor a FRIDA walkthrough.