Association of SARS-CoV-2 vaccination status with risk of influenza-like illness and loss of workdays in healthcare workers
Data files
Jan 05, 2026 version files 161.39 KB
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code_for_ILI_analysis_multivariable_analysis.R
8.46 KB
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data_participants_ILI_analysis.txt
147.08 KB
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IPTW_code_for_ILI_analysis.R
2.27 KB
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README.md
3.58 KB
Abstract
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.
Dataset DOI: 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 <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:
Data was derived from the following sources:
- SURPRISE+ cohort REDCap database