Covid19, SARS-CoV Infection
Conditions
Brief summary
The aeronautical community was also affected and greatly impacted economically and socially by the Covid-19 pandemic. Away from the acute phase, the epidemiological impact and the consequences of this disease within the French aviation flight crew population must be assessed. This study is aimed at providing original epidemiological data among civil and military aircrew, prior to possible prevention strategies or countermeasures to optimize risk management in terms of aviation safety and to promote, if necessary, future targeted studies.
Interventions
Self-questionnaire about socio-demographical status, health status and lifestyle habits during and following the COVID-19 pandemic.
Sponsors
Study design
Eligibility
Inclusion criteria
* At least 18 years of age * Professional military aircrew * Presenting himself/herself for a periodic medical exam
Exclusion criteria
* Under 18 years of age * Parachutists * Non-professional aircrew * Presenting himself/herself for a first medical exam * Pregnant woman, parturient, breastfeeding
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Prevalence of COVID-19 infection among French military professional aircrew | At enrollment | Prevalence of COVID-19 infection will be estimated on the basis of the replies to the questionnaire |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Techniques used for COVID-19 screening | At enrollment | Techniques used for COVID-19 screening will be estimated on the basis of the replies to the questionnaire (among participants who reported being tested for COVID-19) |
| Reasons for COVID-19 screening | At enrollment | Reasons for COVID-19 screening will be estimated on the basis of the replies to the questionnaire (among participants who reported being tested for COVID-19) |
| Experienced symptoms of COVID-19 | At enrollment | Experienced symptoms of COVID-19 will be estimated on the basis of the replies to the questionnaire (among participants who reported being infected) |
| Predictive factors of COVID-19 infection | At enrollment | Predictive factors of COVID-19 infection will be assessed using a top-down logistic regression model taking into account socio-demographic and occupational variables. |
| Social consequences of the COVID-19 pandemic | At enrollment | Social consequences of the COVID-19 pandemic will be estimated on the basis of the replies to the questionnaire |
| Factors associated with pejorative consequences of the COVID-19 pandemic | At enrollment | Factors associated with pejorative consequences of the COVID-19 pandemic will be assessed using a top-down logistic regression model taking into account socio-demographic and occupational variables. |
| Medical care of COVID-19 | At enrollment | Medical care of COVID-19 will be estimated on the basis of the replies to the questionnaire (among participants who reported being infected) |
Countries
France