Where are Covid-19 cases expected to happen?

Pharma companies can quantify the Geographic risk of Covid-19 with Forecasts of predicted cases aggregated from multiple trusted third-party sources like IHME & MIT or build custom SIR forecasts. All forecasts vary based on their underlying assumptions, hence evaluating multiple forecasts will give a range of outcomes to be considered. Often, having a county-level forecast improves the reliability of business decisions. In the interactive map below we have proportioned the state forecasts down to a county-level. The map shows county-wise forecasted cases in the US from 2 sources, with automated insights on States and Counties with emerging hotspots and anomalies.

Which States and Counties are Anomalies?

Anomalies are defined as observations with high deviation from expected behavior. ML based algorithms are used to algorithmically flag states and counties with anomalous trends. The graphs below are the top anomalies from last week detected at state level, with details on Counties with highest contribution to the State level anomaly. Early warning systems built using anomaly detection can help Pharma decision makers accelerate the time to insight and action - specially during a rapidly evolving situation like this pandemic

Covid Control Room for Pharma

As uncertainty around the Covid-19 pandemic lingers and refuses to go away, Pharma executives are facing unprecedented challenges in managing its impact on their Business Operations.

An AI powered Covid Control room that leverages external signals and ML based algorithms  to assess and  predict the impact of Covid-19 will help decision makers quantify the impact of this uncertainty.  One of the signals is the geographic risk due to localized outbreaks of the pandemic. Combining external signals  with internal data will enable Pharma companies generate  powerful insights for high impact problems like inventory location optimization, supplier risk , clinical trial and commercial sales rep call planning.  

Autonomous Anomaly detection systems built at country, state and county levels will enable decision makers to zoom in and out to identify hotspots quickly, and help companies calibrate decisions quickly

Find Use Cases for Your Business

Inventory Allocation & Location Optimization
Inventory Allocation & Location Optimization
    Learn More
    Multi-Tier Supplier Risk Management
    Multi-Tier Supplier Risk Management
      Learn More

      Inventory Allocation & Location Optimization

        Inventory Allocation & Location Optimization

        Multi- tier Supplier Risk

          Multi- tier Supplier Risk

          About the Forecasts

          The Covid-19 case forecasts at county level have been built by collating third-party data from trusted academic and governmental organizations along with our custom SIR forecast. There is a significant variability observed between each of them, and our analysis suggests that the forecast from IHME has thus far predicted actuals closely. However, we believe there is merit in following all of these forecasts to help plan business contingencies for various scenarios. These forecasts were available at different geographic levels, hence values have been proportioned to attain a county level granularity for the United States

          Get In Touch

          We are always looking for new ideas and new partnerships. Contact us to see how we can help you.

          Talk to sales
          Talk to sales
          +1-408-531-6040
          Email us
          Email us
          inquiries@incedoinc.com