Introduction

Use this workflow to explore how baseline immune features can predict responses to the Live Attenuated Influenza Vaccine (LAIV). The main objective is to classify participants as “high” or “low” responders based on changes in immune markers post-vaccination.

Link to example dataset:

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LAIV_Immune_Response_Integrated_Dataset.csv

The dataset contains data from 244 children (aged 2–5 years) vaccinated with LAIV. Your task is to predict vaccine responsiveness (immunogenicity) based on baseline immune features. Responsiveness reflects how well a vaccine elicits an immune response, spanning humoral, cellular, and mucosal immunity.

For more details, refer to the publication that describes this cohort: Effect of a Russian-backbone live-attenuated influenza vaccine on shedding and immunogenicity among children in The Gambia (Lindsey, Benjamin B et al., The Lancet Respiratory Medicine, 2019.)

Figure 1. Study Design Overview.