From a2dee4d7f5511188b428af333e509d44c7d5bc09 Mon Sep 17 00:00:00 2001 From: Carlyn Van Dyke <62626254+carlynvandyke@users.noreply.github.com> Date: Tue, 25 Mar 2025 13:10:43 -0400 Subject: [PATCH] Update _index.md - "signal" -> "indicator" - Changed one link from covidcast homepage to EpiPortal --- content/about/_index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/about/_index.md b/content/about/_index.md index b0734d4a2..5cf80dabd 100644 --- a/content/about/_index.md +++ b/content/about/_index.md @@ -12,13 +12,13 @@ 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 signals contains more than 500 signals 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 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. - 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 signals—many at daily and county-level resolution—from these streams and make them widely available via the [Delphi Epidata platform](https://delphi.cmu.edu/covidcast/) 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 disaggregation 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. Work closely with public health agencies to understand and support their needs