Maelstrom Research Staging | RESPECT_Foodworkers

RESPECT_Foodworkers_Baseline

Networks -

Variables -

Associated study RESPECT Contingency Table

Population

RESPECT - Food workers

The population is composed of asymptomatic individuals working within a food production organization at increased risk due to the nature of their occupation (cannot work from home or difficult distancing) and location in a hot spot in Ontario.

Selection Criteria

Newborns

Twins

Countries

Canada

Territory

Ethnic Origin

Health Status

Exclusion:

Individuals with fever, respiratory or flu-like symptoms.

Individuals with specific symptoms including:

Fever, chills or headache
New or worsening cough
Shortness of breath, difficulty breathing, sore throat or difficulty swallowing
Runny nose or stuffy nose without another cause (e.g. allergies)
Nausea/vomiting, diarrhea, stomach pain
Decrease/loss of taste or smell
Unexplained fatigue, malaise, muscle aches
Eye pain or pink eye.

Individuals should be screened for symptoms as per their institutional requirements.

Other Criteria

Inclusion:

Occupation in food production

Asymptomatic as per daily screening

No contra-indication to performing a nasopharyngeal swab

Recruitment

Sources of recruitment

Specific population

Specific Population

Other specific population : Food production workers

Number of Participants

Number of Participants: 712
Number of Participants with Biological Samples: 712

More info

Data Collection Event

RESPECT - Food workers - Baseline

Information about sociodemographic, exposures and travel history, occupation category, symptoms in the past 21 days, and vaccination was collected. Mental health information was also collected. Blood samples were collected to look for COVID-19 specific antibodies and/or proteins. A nasopharyngeal (NP) swab may be done for COVID-19 testing.

More info

Collected Dataset / RESPECT_Foodworkers_Baseline

RESPECT_Foodworkers_Baseline

Population

RESPECT - Food workers

Data Collection Event

RESPECT - Food workers - Baseline

Files

Variables Classifications