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Influenza Viral Infections clinical trials

View clinical trials related to Influenza Viral Infections.

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NCT ID: NCT06123936 Recruiting - Clinical trials for Influenza Viral Infections

Impact on Influenza Vaccination Rates of a Telephone Text Message Recall From the Attending Physician

GP-FluRecall
Start date: October 30, 2023
Phase: N/A
Study type: Interventional

This study is a clinical trial designed to assess the impact on influenza vaccination rates among people aged over 65 of a telephone text message recalling them to be vaccinated by their GP. Twenty-two GPs will be randomly selected in each arm (recall versus usual care, 1:1). Each GP will include a maximum of 210 patients by random selection from their patient list. A difference of 4 percentage points is expected between the two arms at the end vaccination campaign in the vaccination rate.

NCT ID: NCT05739474 Recruiting - Influenza Clinical Trials

Tolerability, Safety and Immunogenicity Trial of the Flu-M Tetra Vaccine in Children

Start date: January 19, 2022
Phase: Phase 3
Study type: Interventional

The goal of this clinical trial is to assess tolerability, reactogenicity, safety and immunogenicity of the Flu-M Tetra vaccine as compared to the VaxigripTetra vaccine in terms of prevention of influenza in children aged 6 months to 17 years old inclusive.

NCT ID: NCT05557539 Recruiting - Clinical trials for SARS-CoV-2 Infection

Hypothesizing the Genesis of Infectious Diseases and Epidemics Through an Integrated Systems Biology Approach

HYGIEIA
Start date: February 7, 2022
Phase: N/A
Study type: Interventional

In this study, the investigators aim to collect phenotypical and extensive unbiased multimodal biological data, at two different time points, and to integrate them using a systems biology approach. The present project aims at generating a systems biology network that can recapitulate the complexity of processes underlying differential SARS-CoV-2 phenotypic responses through exploitation of clinical -omics data. Identifying key determinants and mechanisms of biological variability responsible for phenotypic differences will lead to a better management of patients through the application of precision medicine.