Incorporating Information on Control Diseases Across Space and Time to Improve Estimation of the Population-level Impact of Vaccines.

ABSTRACT:

Background

The synthetic control method evaluates the impact of vaccines while adjusting for a set of control time series representing diseases that are unaffected by the vaccine. However, noise in control time series, particularly in areas with small counts, can obscure the association with the outcome, preventing proper adjustments. To overcome this issue, we investigated the use of temporal and spatial aggregation methods to smooth the controls and allow for adjustment of underlying trends.

Methods

We evaluated the impact of pneumococcal conjugate vaccine on all-cause pneumonia hospitalizations among adults ≥80 years of age in 25 states in Brazil from 2005 to 2015. Pneumonia hospitalizations in this group indicated a strong increasing secular trend over time that may infl

SUBMITTER: Shioda K 

PROVIDER: S-EPMC8011507 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature