Name File Type Size Last Modified
CDC Text Corpora for Learners: HTML Mirrors of MMWR, EID, and PCD 0

Project Citation: 

United States Department of Health and Human Services. Centers for Disease Control and Prevention, and National Center for State, Tribal, Local, and Territorial Public Health Infrastructure and Workforce. CDC Text Corpora for Learners: HTML Mirrors of MMWR, EID, and PCD. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-01-09. https://doi.org/10.3886/E242786V1

Project Description

Project Title:  View help for Project Title CDC Text Corpora for Learners: HTML Mirrors of MMWR, EID, and PCD
Summary:  View help for Summary The attached ZIP archives are part of the CDC Text Corpora for Learners program. This version, comprised of 33,567 articles, was constructed on 2024-03-01 using source content retrieved on 2024-01-09. The attached three ZIP archives contain the 33,567 articles in 33,576 compiled HTML mirrors of the MMWR Morbidity and Mortality Weekly Report including its series: Weekly Reports, Recommendations and Reports, Surveillance Summaries, Supplements, and Notifiable Diseases, a subset of Weekly Reports, constructed ad hoc; EID Emerging Infectious Diseases; and PCD Preventing Chronic Disease.There is one archive per series. The archive attachments are located in the About this Dataset section of this landing page. In that section when you click Show More, the attachments are located in the section Attachments. The retrieval and organization of the files included making as few changes to raw sources as possible, to support as many downstream uses as possible. Read less
Original Distribution URL:  View help for Original Distribution URL https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-HTML-Mirrors-of-MMWR/ut5n-bmc3/about_data

Scope of Project

Subject Terms:  View help for Subject Terms harvest-cdc-journals; text analysis; corpus; corpora; ncstltphiw; phic; informatics; data science; nlp; mmwr; pcd; eid; machine learning; llm; language; semantic; linguistic; morphology
Collection Notes:  View help for Collection Notes (Downloaded 1/7/2026)


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