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Auxiliary Data

This folder is used to store additional data relevant to the RSV modeling efforts. It contains multiple folders:

  • one for vaccine coverage (vaccine_coverage/)
  • one for RSV data from different CDC sources, including the python code to extract and update the data (rsv/)
  • one for target-data archive (target-data/)
  • one for location and population data (location_census/)
  • one for birth rate data (birth_rate/)
  • past round specification information (rounds/)
  • one for reports (reports/)
  • one for model examples (model_examples)
  • one archive for past version and past round associated auxiliary data files (archive/)

Vaccine Coverage

The folder vaccine_coverage/ provides weekly state-specific cumulative coverage for specific rounds.

Round 2 - 2024 / 2025

Senior

For round 2, the file vaccine_coverage/RSV_round2_vax_coverage_seniors_2024_25.csv provides weekly vaccine coverage (cumulative percentage, cumulative no of doses, size of eligible population) for seniors from summer 2024 to the end of the projection period for RSVnet states. Separate values are provided for seniors 60-74 high risk and 75+.

Coverage should be considered additive to that of last season. The same coverage values apply to all intervention scenarios (A-D), while the counterfactual (F) assumes no coverage.

Maternal & Infant

  • RSV_RD2_maternal_vaccine_2024_25.csv has weekly state-specific coverage for maternal vaccine. The weekdate is the Saturday at the end of each week. This date represents the date when the mother was vaccinated, so that the vaccine effect on the infant would start on average one month later after the baby is born. Columns are provided for total state pop size (Total_pop), annual number of births (Births_per_year), Scenarios ("A" through "D"), No of weekly vaccine doses administered (Maternal_vaccine_weekly_doses), No of eligible mothers throughout the season (Eligible_mothers_entire_season, calculated as the no of moms who are eligible for vaccination at any time point of the campaign), weekly incident coverage (Weekly_incident_cov, calculated as weekly doses divided by the number of eligible mothers), and cumulative coverage (calculated as the cumulative sum of weekly incidence coverage)
  • RSV_RD2_nirsevimab_aggregated_2024_25.csv has a similar structure as the maternal vaccine file for nirsevimab. Note that the column Dose_Type indicates whether a baby is vaccinated at birth (at a constant rate throughout the season; New Born) or during the catch-up campaign (accelerated immunization in the first month of the season; Catch Up). Eligible_babies_entire_season reflects the number of babies in each category (catchup/newborn) who are eligible for nirsevimab at any time point during the campaign. Weekly incident and cumulative coverages are estimated based on this eligible population
  • RSV_RD2_nirsevimab_byweekofage_2024_25.csv is a version of the above file where the catch-up babies have been disaggregated by single week of age. This is the age at receipt of nirsevimab. Eligible babies counts the number of babies would are of that age in any given week of the season, which represents one week of babies.

In all files, the first and last weeks of the campaign have lower vaccination rates than other weeks to account for the fact that the campaign starts and ends at precise dates which do not exactly match with the start of a week (eg Aug 15, Sep 1... etc).

For teams that require US-level vaccine coverage, we advise to either do a weighted mean of the state coverage proportions, where the weights are the state population sizes. Or you can also sum all the state-level no of doses and state-level populations

Reports

The reports folder contains reports from previous Scenario Modeling Hub rounds. At the time they were produced, some of these reports were intended to be shared only with certain stakeholders and have disclaimers to that effect. All reports have since become publicly available.

Each report contains an executive summary with key messages and results, and analyses of ensemble and individual projections. Results at national and state level are available for all targets.

Location and Census Data

The folder location_census/ contains two files:

  • location_census/locations.csv containing the state and national full name, 2 letter abbreviation and fips code as used in the hub. The file also contains the population size
  • location_census/state_pop_data contains the population size per year, state (and national level), age from 2010 to 2022 (included). The data are coming from the US Census Bureau:
    • Annual Estimates of the Civilian Population by Single Year of Age and Sex for the United States and States: April 1, 2010 to July 1, 2020: available here
    • Annual Estimates of the Civilian Population by Single Year of Age and Sex for the United States and States: April 1, 2020 to July 1, 2022: available here

Birth Rate

The folder birth_rate/ contains multiple files:

  • natality_ files containing total number of births per state and per year from the Centers for Disease Control and Prevention, National Center for Health Statistics. National Vital Statistics System, Natality on CDC WONDER Online Database
  • birth_rate_2016_2022.txt containing the birth rate per state and year from the Centers for Disease Control and Prevention, National Center for Health Statistics. National Vital Statistics System, Natality on CDC WONDER Online Database
  • birth_rate_1995_2022.txt containing the calculated birth rate and standardized birth rate from the "natality_" and other "birth_rate" files from 1995 to 2022 per year and per state.

Target Data

The target-data folder contains archive of the target-data data with additional information (hospitalization rate, population size). The data are automatically updated on Monday, with the date append to the file name.

RSV data

The folder rsv/ contains the RSV data divided in three sub-folders: one per each CDC source and the python code to extract and update the data.

The data is updated weekly by the update-rsv-data GitHub Action, which runs weekly on Friday morning, 9:00 am UTC.

Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET)

The Weekly Rates of Laboratory-Confirmed RSV Hospitalizations from the RSV-NET Surveillance System is also downloaded weekly and output in a PARQUET file with the download date added in the name of the file: rsv/rsv-net/DATE_weekly_rates_lab_confirmed_rsv_hosp.parquet.

The Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) is a network that conducts active, population-based surveillance for laboratory-confirmed RSV-associated hospitalizations in children younger than 18 years of age and adults. The network currently includes 58 counties in 12 states, and data are collected and reported during the October 1-April 30 season each year. In some years, additional months of data are collected.

The output file contains the rate and cumulative rate of RSV hospitalization at national level and for 12 states by season, by week and by age category, sex, race.

For more information about RSV-NET, please consult the CDC RSV-NET Overview and Methods webpage.

Weekly Respiratory Virus Vaccination Data, National Immunization Survey

The Weekly Respiratory Virus Vaccination Data, Children 6 Months-17 Years and Adults 18 Years and Older, National Immunization Survey is also downloaded weekly and output in a PARQUET file: rsv/rsv-vax/weekly_respiratory_virus_vaccination_data.parquet.

The weekly respiratory virus vaccination data come from the National Immunization Survey-Adult COVID Module (NIS-ACM), National Immunization Survey-Child COVID Module (NIS-CCM), and the National Immunization Survey-Flu (NIS-Flu). The NIS-ACM provides data on Influenza (flu), COVID-19, and RSV vaccination for adults aged ≥18 years in the United States.

The output file contains vaccination survey data on Influenza, COVID-19, and RSV vaccination for adults aged ≥18 years in the United States and Children 6 Months-17 Years for a specific subset.

For more information, please consult the homepage of the data and the surveys method webpage information

Other links of interest:

2023 - 2024 Weekly Respiratory Virus Vaccination Data

The repository also contains 3 CSV files about 2023-2024 Weekly RSV vaccination data.

The NIS and IIS estimates are based on different groups of children recommended to receive nirsevimab. The IIS estimates include only "catch-up: babies" ie excludes babies who would become eligible on or after October 1, 2023 (i.e., babies born October 2023 - March 2024 are excluded). Further, IIS is based on an administrative database which may miss a fraction of immunizations.

The National Respiratory and Enteric Virus Surveillance System (NREVSS)

The Percent Positivity of Respiratory Syncytial Virus Nucleic Acid Amplification Tests by HHS Region, National Respiratory and Enteric Virus Surveillance System is also downloaded weekly and output in a PARQUET file: rsv/nrevss/weekly_positivity.parquet.

More than 450 public health, clinical, and commercial laboratories located throughout the United States voluntarily participate in surveillance for respiratory syncytial virus (RSV) through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS). The data contain weekly, aggregate counts of RSV tests performed and RSV detections as reported to NREVSS since April 11, 2020.

For more information, please consult the homepage of the data and the NREVSS webpage information

NSSP Emergency Department (ED)

Both the 2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined, 2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category are downloaded weekly and output in PARQUET files:

2023 Respiratory Virus Response - NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geography each part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP).

For more information, please consult the NSSP homepage

Rounds

The rounds folder contains the round information in a markdown format with a folder names roundX_viz with X being the round number, containing associated visualization (for example, scenario table in a PNG format).

Model examples

The model_examples folder contains model-output and model-metadata examples, using round 1 specification.

Archive

The archive folder contains past data about: round 1 vaccine coverage, past NREVSS and NSSP version data. The folder contains documentation with detailed information on the source and processing of the data.