DOI: 10.5061/dryad.v41ns1s88
title: Association of SARS-CoV-2 vaccination status with risk of influenza-like illness and loss of workdays in healthcare workers

description: 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.
description: # 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 for the Inverse Probability Treatment Weighing analysis code of risk
 factors for influenza-like illness (ILI).  #### File:
 data_participants_ILI_analysis.txt **Description:** This file contains the
 participant data, including variables on ILI and on risk factors.  #####
 Variables (Description; levels/type) * id_new: unique identifier of
 participant * sex: biological sex; categorical (gender1, gender2, gender3)
 * age: in years on 2023-11-01; continuous * bmi: body mass index (body
 weight/height^2); continuous for analysis, categorical * occupation:
 occupational group of the participant; categorical * has_patient_contact:
 working in direct contact with patients; categorical (Yes; No (ref)) *
 anycomorbidity: presence of any of: arterial hypertension, diabetes,
 cancer; categorical (Yes; No (ref)) * active_smoking: current smoker;
 categorical (binary) * home_children: living with children &lt;13 years in
 the same household; categorical (Yes; No (ref)) * n.pos.swabs: number of
 SARS-CoV-2 infections between 2020-01-01 and 2023-10-31; continuous *
 number_of_vaccines: number of SARS-CoV-2 vaccinations before baseline;
 continuous * received_any_mRNA_vaccine: received any mRNA vaccine;
 categorical (Yes; No (ref)) * days_since_last_vaccination: days since last
 vaccination; continuous * anti_n_titer: titer of anti-nucleocapsid
 antibodies; continuous * anti_s_titer: titer of anti-spike antibodies;
 continuous * anyILI: had at least one episode of ILI during follow-up;
 categorical (Yes; No (ref)) * total_number_of_ILI: number of ILI during
 follow-up; continuous * total_number_broad_definition_ILI: number of ILI
 (broad definition) during follow-up; continuous *
 total_number_narrow_definition_ILI: number of ILI (narrow definition)
 during follow-up; continuous * influenza_vaccinated: receipt of influenza
 vaccine for the season 2023/2024; categorical (Yes; No (ref)) *
 number_followups: number of follow*up questionnaires returned; continuous
 ## Code/software We used statistical software R (version 4.4.0) with the
 packages ‘tableone’, ‘nlme’, ‘MASS’, and ‘twang’ for the analyses. We have
 uploaded two statistical codes: one for the multivariable analysis with
 outcome ILI and one for the IPTW analysis with outcome ILI. The steps of
 the respective analyses are described and explained within the codes.  ##
 Access information Other publicly accessible locations of the data: * doi:
 [10.1038/s43856-025-01046-8](https://doi.org/10.1038/s43856-025-01046-8)
 Data was derived from the following sources: * SURPRISE+ cohort REDCap
 database