changes to about page

changed some words around, and updated our epidata section.

Author: ptothej23

content/about/_index.md

@@ -12,15 +12,15 @@ layout: about
 - Perennial winners of CDC’s [“predict the flu” challenge](https://www.cdc.gov/flu/weekly/flusight/index.html) since 2014
 - Designated a 6-year [National Center of Excellence for Flu Forecasting](https://delphi.cmu.edu/about/center-of-excellence/) by [CDC’s Influenza Division](https://www.cdc.gov/ncird/flu.html) (2019-2025)
 - Designated a 5-year [National Center for Innovation](https://www.cs.cmu.edu/news/2023/delphi-cdc-center) by [CDC’s Center for Forecasting and Outbreak Analytics](https://www.cdc.gov/forecast-outbreak-analytics/index.html) (2023-2028)
-- Our [Epidata repository](https://cmu-delphi.github.io/delphi-epidata/) of real-time, geographically-detailed epidemic indicators contains more than 500 indicators totalling over 4 billion records, with 3 million records being added daily.  It receives on average 100,000 queries/day, from more than 50,000 unique IP addresses in a 3 month period.
+- Our [Epidata repository](https://cmu-delphi.github.io/delphi-epidata/) of real-time, geographically-detailed epidemic indicators contains more than 750 indicators totaling over 5 billion records, with 3 million records being added daily. It receives on average 100,000 queries/day, bursting to 3 million during the pandemic.
 - Data partners and collaborators include CDC, UnitedHealth/Optum, Change Healthcare, Google, Meta, Amazon, QuidelOrtho, and others
 - Funders include CDC, DTRA, Google, Meta, Optum, McCune Foundation, Uptake and others
 
 **Our strategy:**
 1. Procure [real-time, aggregated data streams](https://cmu-delphi.github.io/delphi-epidata/) informative of varied infectious diseases and syndromes, in collaboration with industry partners and public health agencies
-1. Extract indicators— many at daily and county-level resolution— from these streams and make them widely available via the [Delphi EpiPortal](https://delphi.cmu.edu/epiportal/) and [API](https://cmu-delphi.github.io/delphi-epidata/); enhance their value with automated revision tracking, revision projection, anomaly detection, trend detection, access control, smoothing, and geographic, temporal and demographic disaggregation
+1. Extract indicators— many at daily and county-level resolution— from these streams and make them widely available via the [Delphi EpiPortal](https://delphi.cmu.edu/epiportal/) and [API](https://cmu-delphi.github.io/delphi-epidata/); enhance their value with automated revision tracking, revision projection, anomaly detection, trend detection, access control, smoothing, and geographic, temporal and demographic stratification
 1. Develop and deploy algorithms for epidemic detection, tracking (nowcasting), and forecasting
-1. Develop and share tools for [signal access](https://cmu-delphi.github.io/epidatr/), [processing](https://cmu-delphi.github.io/epiprocess/), and [forecasting](https://cmu-delphi.github.io/epipredict/)
+1. Develop and share tools for [indicator access](https://cmu-delphi.github.io/epidatr/), [processing](https://cmu-delphi.github.io/epiprocess/), and [forecasting](https://cmu-delphi.github.io/epipredict/)
 1. Work closely with public health agencies to understand and support their needs
 1. Make it all real-time, operational, maximally accessible, and open-source