Dataset for a randomised controlled study to investigate how two common respiratory infections interact in the nose of healthy adults: REspiratory syncytial virus and S. pnEumoniae Challenge Coinfection sTudy (RESPECCT).

This data set contains the informed consent form, participant information sheet, safety pack documents, objectives, inclusion and exclusion criteria of the RESPECCT study. It also includes the SPIRIT checklist associated with the RESPECCT study.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-29
DOI
https://doi.org/10.5281/zenodo.13305960
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00
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article

Dataset for a randomised controlled study to investigate how two common respiratory infections interact in the nose of healthy adults: REspiratory syncytial virus and S. pnEumoniae Challenge Coinfection sTudy (RESPECCT).

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Bioinformatics
article

Dataset for a randomised controlled study to investigate how two common respiratory infections interact in the nose of healthy adults: REspiratory syncytial virus and S. pnEumoniae Challenge Coinfection sTudy (RESPECCT).

article en

Abstract

This data set contains the informed consent form, participant information sheet, safety pack documents, objectives, inclusion and exclusion criteria of the RESPECCT study. It also includes the SPIRIT checklist associated with the RESPECCT study.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 64%
Machine Learning in Bioinformatics
DOIOpen Access PDFOpenAlex
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Dataset for a randomised controlled study to investigate how two common respiratory infections interact in the nose of healthy adults: REspiratory syncytial virus and S. pnEumoniae Challenge Coinfection sTudy (RESPECCT). · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS