The Optimising Isolation, Quarantine and Distancing Study for COVID-19

This is a mixed methods longitudinal study of a cohort of 1000 participants for a 12 month period. Victorian adults from three key risk populations will be recruited into two longitudinal cohort groups. It will follow the experiences and behaviors of the groups;

Recruitment group 1/Seed set 1 - recently diagnosed 'COVID-19 cases' (Group 1) and their social network with up to 2 waves of /Key people, will be followed up for 1 month initially with specific monitoring tools before they will transition into ongoing follow up and monitoring as recruitment group 2

Recruitment group 2/Seed set 2 - people from the general community that are not currently infected with COVID19 'Group 2' that are practicing physical distancing and represent specific key risk groups, and their social network with up to 2 waves of Key people.

Oversampling of vulnerable populations including people with disabilities, single parents and people living alone will be conducted across all groups.

Individuals may be invited to participate in more than one cohort when they change between risk population definitions.

The project aims to meet the following objectives using a longitudinal cohort design and a mixed method of qualitative and quantitative tools to enable us to assess changes within individuals over time and to assess the influence of social networks on their health, well-being, attitudes and perceptions. To assess the feasibility, acceptability and implementation of new interventions designed to support a reduction in disease transmission, including testing strategies, we will recruit a small sub-sample of participants into a sub-studies that will assess implementation outcomes.

Objectives of the study are:

• To assess adherence to government intervention strategies (i.e. early testing, isolation and physical distancing) and identify factors that promote/inhibit compliance to intervention strategies designed to reduce transmission.
• To better understand, assess and monitor the unintended health, social and economic consequences of the government interventions to control COVID-19 transmission
• To collect and collate empirical data regarding transmissions dynamics, social contacts and mixing patterns of COVID19 cases , their contacts and key vulnerable groups to develop and refine mathematical models that will improve the precision and timeliness of dynamic transmission estimates
• To test the acceptability, feasibility and effectiveness of (i) new and existing diagnostic tests and testing strategies and (ii) new and existing intervention strategies (therapeutic, behavioural, social) to support early diagnosis and subsequently reduce transmission.

Inclusion criteria

Community participants -

Exclusion criteria

Unable to provide consent -