The folder provides weekly state-specific cumulative coverage for specific rounds.
-
reported_immunization_seniors_2425.csv provides weekly vaccine coverage for seniors for the 2024-2025 season at region and national level, from the National Immunization Survey (NIS). For state projections, we advise teams to use the data for the region that the state is in.
-
Seniors_state_coverage_2025_26 provides weekly vaccine coverage for seniors for the 2025-2026 season (projected) and 2024-2025 season at state level. The 2024-25 season data uses the regional NIS data corresponding to each state. Data represent the weekly cumulative percent of eligible group vaccinated since the start of the program (
cum_cov_percent, ie 26 represents 26% vaccinated), the equivalent cumulative no of doses given (cum_cov_doses) and the population size of eligible groups (pop). Data are provided for 3 separate groups: all 75 yrs+, 60-74 with high risk, and 50-59 with high risk. All senior scenarios should use the same coverage provided in this file.
-
reported_immunization_infants_2324_2425.csv has weekly national coverage for the 2023-2024 and 2024-2025 seasons for maternal vaccine and Nirsevimab, from the NIS survey.
-
Infants_state_coverage_2025_26 has weekly projected immunization coverage at state and national level for the 2025-2026 season with two coverage assumptions depending on whether immunization uptake is optimistic (sc A and B) or similar to last year in 2024-25 (sc C and D). Data are provided separately for:
- catch up babies (under 6 months when they enter the RSV season on Oct 1, and receiving nirsevimab in the first month of the campaign)
- babies born during the RSV season and receiving nirsevimab at a constant rate during Oct-Mar
- mothers 32-36 weeks of gestation who receive the vaccine at a constant rate from Sep to Jan
The file provides the weekly percent of the eligible population covered by each of the interventions (weekly_incident_cov, where for instance 1 means 1% covered each week), the weekly cumulative percent coverage (weekly_cum_cov, where for instance 26 means 26%), and the weekly number of doses given (weekly_doses). The file also has the total number of births each year (Births_per_year), the total population in the jurisdiction (total_pop), the denominator (ie the size of the eligible population for a given intervention) and denominator type (explaining whether denominators are eligible babies or eligible moms). As a result, weekly_doses = weekly_incident_cov / 100 * denominator. Data are provided for optimistic coverage scenario A and pessimistic scenario C. Teams should use scenario A coverage assumptions for scenario B, and scenario C assumptions for scenario D.