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

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

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07337382
Acronym
Optimise
Enrollment
1000
Registered
2026-01-13
Start date
2020-09-30
Completion date
2026-06-30
Last updated
2026-01-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

COVID19

Brief summary

The Australian government swift interventions and actions early to the COVID 19 epidemic included enforced quarantine, isolation, varying degrees of social and physical distancing measures, travel restrictions, community level testing and enhanced contact tracing models which effected the trajectory of the epidemic impact. While the search for effective therapeutics and vaccines continues, it is important to understand how to effectively implement and optimise the current public health interventions available; application of traditional contact tracing , contributions of new contact tracing mobile phone applications, community level testing and use of specific fit for purpose diagnostic tests; to screen, detect and provide evidence of infection clearance. While the suppression measures have been effective on disease transmission rates, it has had economic, social and non COVID-19 health costs impacts. As community restrictions change it will be important to monitor and evaluate the effectiveness of these key interventions. This is a longitudinal study that will follow the experience and behaviors of 2 key risk populations impacted by COVID-19 transmission containment measures.

Detailed description

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: 1. 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. 2. To better understand, assess and monitor the unintended health, social and economic consequences of the government interventions to control COVID-19 transmission 3. 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 4. 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.

Interventions

None listed

Sponsors

The Peter Doherty Institute for Infection and Immunity
CollaboratorOTHER
University of Melbourne
CollaboratorOTHER
Swinburne University of Technology
CollaboratorOTHER
La Trobe University
CollaboratorOTHER
Monash University
CollaboratorOTHER
SNA Toolbox
CollaboratorUNKNOWN
Centre for Culture, Ethnicity & Health
CollaboratorUNKNOWN
Macquarie Group Foundation
CollaboratorUNKNOWN
Victorian State Government
CollaboratorUNKNOWN
Macfarlane Burnet Institute for Medical Research and Public Health Ltd
Lead SponsorOTHER

Study design

Observational model
ECOLOGIC_OR_COMMUNITY
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

Community participants -

Exclusion criteria

Unable to provide consent -

Design outcomes

Primary

MeasureTime frameDescription
Measure of the efficacy of government interventions,18 monthsParticipants responses to behavioural questionnaires and focus group discussions will be used as binary measurers; including but not limited to the number/proportion of participants who receive a score indicating accurate knowledge of government recommendations, receive a score of using COVID-19 prevention measures as recommended by the government.
Change from response in baseline questionnaires depicting what are the unintended health, social and economic consequences of the government response to control COVID19 transmission18 monthsParticipants will complete behavioural questionnaires and diaries. e.g. Anxiety (using GAD scale: https://patient.info/doctor/generalised-anxiety-disorder-assessment-gad-7).
What are the social contacts and mixing patterns of COVID-19 cases18 monthsThe behavioural questionnaire participants will be ask to complete include nominating the number of social network contacts per day.
What are the types of social contacts and mixing patterns of COVID-19 cases18 monthsThe questionnaire participants will be ask to complete will include nominating the relationship with their contacts per day(i.e. partner, child, friend), and individuals COVID test status, providing detailed specifics of the projects social network data.
Change from response in baseline questionnaires to Adherence (non-adherence) with COVID19 transmission containment measures18 monthsParticipants will complete behavioural questionnaires and diaries as binary daily measure of outcomes of compliance/non-adherence for each individual, determined by their ability to adhere to government regulations

Secondary

MeasureTime frameDescription
Assess the effectiveness of government interventions to reduce COVID-19 transmission from questionnaire responses from cohort participants18 monthsIncluding but not limited to the number/proportion of participants with accurate knowledge of government recommendations and the number/proportion of participants using COVID-19 prevention measures as recommended by the government.
To investigate new and alternative tests to diagnose COVID-19.18 monthsParticipants of the Optimise main study who are diagnosed with COVID-19 and their contacts will be invited to participate in a sub study of saliva testing compared with deep nasal/throat swab testing for the diagnosis of COVID-19 using RT-PCR
Collect data of positive COVID19 cases reported in study participant questionnaires.18 monthsThe COVID 19 data will be analysed to determine the cases reported and if there are social contacts nominated in the questionnaires showing any linkage of cases. The social mixing patterns nominated of COVID19 cases, will be used to develop and refine mathematical models to improve precision and timeliness of dynamic transmission estimates.

Countries

Australia

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026