Assessment of the Prevalence and the Impact of the COVID-19 Epidemic in the French Flight Crew in 2020

Study Overview
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Brief Summary
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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.

Official Title
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Assessment of the Prevalence and the Impact of the COVID-19 Epidemic in the French Flight Crew in 2020

Conditions
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Covid19, SARS-CoV Infection

Intervention / Treatment
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* Other: Questionnaire


Participation Criteria
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Eligibility Criteria
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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

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Intervention/Treatment |
| --- |
|Other: Questionnaire|Self-questionnaire about socio-demographical status, health status and lifestyle habits during and following the COVID-19 pandemic.|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Prevalence of COVID-19 infection among French military professional aircrew | Prevalence of COVID-19 infection will be estimated on the basis of the replies to the questionnaire | At enrollment | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Predictive factors of COVID-19 infection | Predictive factors of COVID-19 infection will be assessed using a top-down logistic regression model taking into account socio-demographic and occupational variables. | At enrollment | 
| Techniques used for COVID-19 screening | 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) | At enrollment | 
| Reasons for COVID-19 screening | 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) | At enrollment | 
| Experienced symptoms of COVID-19 | Experienced symptoms of COVID-19 will be estimated on the basis of the replies to the questionnaire (among participants who reported being infected) | At enrollment | 
| Medical care of COVID-19 | Medical care of COVID-19 will be estimated on the basis of the replies to the questionnaire (among participants who reported being infected) | At enrollment | 
| Social consequences of the COVID-19 pandemic | Social consequences of the COVID-19 pandemic will be estimated on the basis of the replies to the questionnaire | At enrollment | 
| Factors associated with pejorative consequences of the COVID-19 pandemic | 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. | At enrollment |