National Center for Immunization and Respiratory Diseases

National Center For Immunization And Respiratory Diseases datasets in the CDC Open Data Catalog

This page contains all datasets in the National Center For Immunization And Respiratory Diseases category of the CDC Open Data Catalog.

Total Datasets in Category: 3 Last Updated: 01/12/2026

An aggregated dataset of day 3 post-inoculation viral titer measurements from influenza A virus-infected ferret tissues

• Description: Data from influenza A virus (IAV) infected ferrets (Mustela putorius furo) provides invaluable information towards the study of novel and emerging viruses that pose a threat to human health. This gold standard animal model can recapitulate many clinical signs of infection present in IAV-infected humans, supports virus replication of human and zoonotic strains without prior adaptation, and permits evaluation of virus transmissibility by multiple modes. While ferrets have been employed in risk assessment settings for >20 years, results from this work are typically reported in discrete stand-alone publications, making aggregation of raw data from this work over time nearly impossible. Here, we describe a dataset of 333 ferrets inoculated with 107 unique IAV, conducted by a single research group (NCIRD/ID/IPB/Pathogenesis Laboratory Team) under a uniform experimental protocol. This collection of ferret tissue viral titer data on a per-individual ferret level represents a companion dataset to ‘An aggregated dataset of serially collected influenza A virus morbidity and titer measurements from virus-infected ferrets’. However, care must be taken when combining datasets at the level of individual animals (see PMID 40245007 for guidance in best practices for comparing datasets comprised of serially-collected and fixed-timepoint in vivo-generated data).

See publications using and describing data for more information: Kieran TJ, Sun X, Tumpey TM, Maines TR, Belser JA. 2025. Spatial variation of infectious virus load in aggregated day 3 post-inoculation respiratory tract tissues from influenza A virus-infected ferrets. mSphere 10:e00346-25. https://doi.org/10.1128/msphere.00346-25.

Kieran TJ, Sun X, Maines TR, Belser JA. 2025. Predictive models of influenza A virus lethal disease: insights from ferret respiratory tract and brain tissues. Scientific Reports, 15, 24342. https://doi.org/10.1038/s41598-025-09154-0.

Bullock TA, Pappas C, Uyeki TM, Brock N, Kieran TJ, Olsen SJ, Davis CD, Tumpey TM, Maines TR, Belser JA. 2025. The (digestive) path less traveled: influenza A virus and the gastrointestinal tract. mBio mBio 16:e01017-25. https://doi.org/10.1128/mbio.01017-25.

Kieran TJ, Sun X, Maines TR, Beauchemin CAA, Belser JA. 2024. Exploring associations between viral titer measurements and disease outcomes in ferrets inoculated with 125 contemporary influenza A viruses. J Virol98: e01661-23. https://doi.org/10.1038/s41597-024-03256-6

Related dataset: Kieran TJ, Sun X, Creager HM, Tumpey TM, Maine TR, Belser JA. 2025. An aggregated dataset of serial morbidity and titer measurements from influenza A virus-infected ferrets. Sci Data, 11(1):510. https://doi.org/10.1038/s41597-024-03256-6

https://data.cdc.gov/National-Center-for-Immunization-and-Respiratory-D/An-aggregated-dataset-of-serially-collected-influe/cr56-k9wj/about_data

Other relevant publications for best practices on data handling and interpretation: Kieran TJ, Maines TR, Belser JA. 2025. Eleven quick tips to unlock the power of in vivo data science. PLoS Comput Biol, 21(4):e1012947. https://doi.org/10.1371/journal.pcbi.1012947

Kieran TJ, Maines TR, Belser JA. 2025. Data alchemy, from lab to insight: Transforming in vivo experiments into data science gold. PLoS Pathog, 20(8):e1012460. https://doi.org/10.1371/journal.ppat.1012460

• Schema: dwv_ncird_immunization

• Table Name: day3_post_inoculation_viral_titer_ferre__d9u6_mdu6

• Dataset ID: d9u6-mdu6

• Category: National Center for Immunization and Respiratory Diseases

• Total Rows: 333

• Last Refresh: 01/01/2026

• Total Batches: 1

• Tags: animal model, ferret, flu, influenza, in vivo, ncird, ncird-id, necropsy, pathogenesis, risk assessment, tissue, virus

• Source Data: https://data.cdc.gov/d/d9u6-mdu6

An aggregated dataset of serially collected influenza A virus morbidity and titer measurements from virus-infected ferrets.

• Description: Data from influenza A virus (IAV) infected ferrets (Mustela putorius furo) provides invaluable information towards the study of novel and emerging viruses that pose a threat to human health. This gold standard animal model can recapitulate many clinical signs of infection present in IAV-infected humans, support virus replication of human and zoonotic strains without prior adaptation, and permit evaluation of virus transmissibility by multiple modes. While ferrets have been employed in risk assessment settings for >20 years, results from this work are typically reported in discrete stand-alone publications, making aggregation of raw data from this work over time nearly impossible. Here, we describe a dataset of 746 ferrets inoculated with 129 unique IAV, conducted by a single research group (NCIRD/ID/IPB/Pathogenesis Laboratory Team) under a uniform experimental protocol. This collection of morbidity, mortality, and viral titer data represents the largest publicly available dataset to date of in vivo-generated IAV infection outcomes on a per-individual ferret level.

Published Data Descriptor for more information: Kieran TJ, Sun X, Creager HM, Tumpey TM, Maine TR, Belser JA. 2024. An aggregated dataset of serial morbidity and titer measurements from influenza A virus-infected ferrets. Sci Data 11, 510. https://doi.org/10.1038/s41597-024-03256-6

Additional publications using and describing data: Kieran TJ, Sun X, Maines TR, Beauchemin CAA, Belser JA. 2024. Exploring associations between viral titer measurements and disease outcomes in ferrets inoculated with 125 contemporary influenza A viruses. J Virol. 98:e01661-23. https://doi.org/10.1128/jvi.01661-23

Belser JA, Kieran TJ, Mitchell ZA, Sun X, Mayfield K, Tumpey TM, Spengler JR, Maines TR. 2024. Key considerations to improve the normalization, interpretation and reproducibility of morbidity data in mammalian models of viral disease. Dis Model Mech; 17 (3): dmm050511. https://doi.org/10.1242/dmm.050511

Kieran TJ, Sun X, Maines TR, Belser JA. 2024. Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data. Communications Biology 7, 927. https://doi.org/10.1038/s42003-024-06629-0

Additional publications supporting responsible use and interpretation of data by others: Kieran TJ, Maine TR, Belser JA. 2025. Eleven quick tips to unlock the power of in vivo data science. PLoS Comput Biol, 21(4):e1012947. https://doi.org/10.1371/journal.pcbi.1012947

Kieran TJ, Maine TR, Belser JA. 2025. Data alchemy, from lab to insight: Transforming in vivo experiments into data science gold. PLoS Pathog, 20(8):e1012460. https://doi.org/10.1371/journal.ppat.1012460

Change / Update Log: Nov 7, 2024: Corrected typographical errors in Origin column for A/Ohio/13/2017 and A/Hawaii/28/2020

July 1, 2025: Added 3 viruses (A/Texas/36/1991, A/Texas/37/2024, A/Michigan/90/2024, total n=18 new rows)

• Schema: dwv_ncird_immunization

• Table Name: aggregated_influenza_a_ferret_morbidity__cr56_k9wj

• Dataset ID: cr56-k9wj

• Category: National Center for Immunization and Respiratory Diseases

• Total Rows: 1,474

• Last Refresh: 01/01/2026

• Total Batches: 2

• Tags: animal model, ferret, flu, influenza, in vivo, ncird, ncird-id, pathogenesis, risk assessment, virus

• Source Data: https://data.cdc.gov/d/cr56-k9wj

Respiratory Conditions Treated in the Emergency Department

• Description: Methods for Creating Respiratory Conditions:

The International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) discharge diagnostic codes listed in the Acute Respiratory Index (ARI) were used as a starting point to define respiratory conditions. For a list of diagnostic codes included in the ARI metric, visit the Acute Respiratory Illness Technical Brief.

These codes were further refined to exclude pathogen-specific codes and, when appropriate, were grouped using ICD-10-CM parent codes and Clinical Classifications Software Refined (CCSRs) categories, which organize ICD-10-CM codes into 14 clinically meaningful categories.

Short codes listed capture all codes underneath them (e.g., J09 includes J09.X1–J09.X9).

Findings for each of the 14 condition categories were analyzed by age group.

Source: National Syndromic Surveillance Program (NSSP)

The NSSP is a collaboration among CDC, local and state health departments, and private sector partners. Together, these partners collect, share, and analyze automated electronic healthcare data in near-real time.

National data include emergency departments in all 50 states, the District of Columbia, and Guam. View the Coverage Map.

• Schema: dwv_ncird_immunization

• Table Name: respiratory_conditions_emergency_dept_t__v58w_vynu

• Dataset ID: v58w-vynu

• Category: National Center for Immunization and Respiratory Diseases

• Total Rows: 27,034

• Last Refresh: 01/09/2026

• Total Batches: 4

• Tags: respiratory-virus-response, virus, rvr, ophdst, ncird, bacteria, ed data, ari other

• Source Data: https://data.cdc.gov/d/v58w-vynu