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Merge pull request #1077 from cmu-delphi/release/v3.3.8
Release v3.3.8
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content/about/_index.md

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- Perennial winners of CDC’s [“predict the flu” challenge](https://www.cdc.gov/flu/weekly/flusight/index.html) since 2014
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- 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)
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- 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)
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- 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.
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- 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.
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- Data partners and collaborators include CDC, UnitedHealth/Optum, Change Healthcare, Google, Meta, Amazon, QuidelOrtho, and others
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- Funders include CDC, DTRA, Google, Meta, Optum, McCune Foundation, Uptake and others
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**Our strategy:**
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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
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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
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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
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1. Develop and deploy algorithms for epidemic detection, tracking (nowcasting), and forecasting
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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/)
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1. Work closely with public health agencies to understand and support their needs

package-lock.json

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package.json

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{
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"name": "www-main",
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"version": "3.3.7",
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"version": "3.3.8",
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"private": true,
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"dependencies": {
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"@fortawesome/fontawesome-free": "^6.5.2",
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"uikit": "^3.21.13",
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"www-covidcast": "https://github.com/cmu-delphi/www-covidcast/releases/download/v3.2.12/www-covidcast-3.2.12.tgz",
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"www-covidcast-classic": "https://github.com/cmu-delphi/www-covidcast-classic/releases/download/v2.6.7/www-covidcast-classic-2.6.7.tgz",
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"www-epivis": "https://github.com/cmu-delphi/www-epivis/releases/download/v2.1.9/www-epivis-2.1.9.tgz"
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"www-epivis": "https://github.com/cmu-delphi/www-epivis/releases/download/v2.1.10/www-epivis-2.1.10.tgz"
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},
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"devDependencies": {
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"hugo-bin": "^0.127.0",

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