Association of SARS-CoV-2 vaccination status with risk of influenza-like illness and loss of workdays in healthcare workers

In this multicentre cohort study, we sought to determine the association of SARS-CoV-2 vaccination status and other risk factors with the occurrence of influenza-like respiratory illness and workdays lost due to influenza-like respiratory illness. During a period of high SARS-CoV-2 community transmission (November 2023 to May 2024), we collected weekly data on symptoms and sick day leave and used negative binomial regression to identify risk factors for these outcomes among 1’745 healthcare workers. To single out the effect of the vaccine and account for potential confounding, an additional inverse probability weighted analysis was performed.
, , # Association of SARS-CoV-2 vaccination status with risk of influenza-like illness and loss of workdays in healthcare workers

Dataset DOI: [10.5061/dryad.v41ns1s88](https://doi.org/10.5061/dryad.v41ns1s88)

## Description of the data and file structure

This README file describes the data and statistical code related to the publication \"Association of SARS-CoV-2 vaccination status with risk of influenza-like illness and loss of workdays in healthcare workers\" published in Communications Medicine (doi: 10.1038/s43856-025-01046-8). In this prospective cohort of healthcare workers, serological data and clinical data on risk factors and symptoms of viral respiratory infections were collected.

### Files and variables

#### File: code_for_ILI_analysis_multivariable_analysis.R

**Description:** This file contains the R code for the multivariable analysis of risk factors for influenza-like illness (ILI). 

#### File: IPTW_code_for_ILI_analysis.R

**Description:** This file contains the R code...,