Dataset Information

African Americans views of COVID-19 contact tracing and testing.

ABSTRACT: Increasing COVID-testing and contact tracing is necessary to control the COVID-19 pandemic considering suboptimal vaccine rates. We conducted semi-structured interviews to explore views towards contact tracing and testing among 62 African Americans. Based on our findings, participants identified COVID-19 testing and contact tracing as beneficial, yet medical and governmental mistrust, stigma associated with SARS-CoV-2, lack of access, poor communication, and costs as major barriers. This study also highlights intervention targets to improve COVID-testing and contact tracing.

SUBMITTER: Kas-Osoka C

PROVIDER: S-EPMC8898856 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

African Americans views of COVID-19 contact tracing and testing.

Kas-Osoka Chioma C Moss Jamal J Alexander Leah L Davis Jamaine J Parham Imari I Barre Iman I Cunningham-Erves Jennifer J

American journal of infection control 20220307 5

Increasing COVID-testing and contact tracing is necessary to control the COVID-19 pandemic considering suboptimal vaccine rates. We conducted semi-structured interviews to explore views towards contact tracing and testing among 62 African Americans. Based on our findings, participants identified COVID-19 testing and contact tracing as beneficial, yet medical and governmental mistrust, stigma associated with SARS-CoV-2, lack of access, poor communication, and costs as major barriers. This study a ...[more]

PMID: 35263614

Similar Datasets

Project description:Objective Contact tracing is one of the key public health response actions to control the outbreak of a novel virus. This paper describes the preparation process, activation and operational experience for contact tracing of individuals in response to confirmed COVID-19 cases in Wales. Study design A descriptive approach has been adopted and lessons learned from our initial public health response to COVID-19 will be used to develop a new operational model for contact tracing in Wales. Methods As part of preparations for the response in Wales, Public Health Wales formed a Contact Tracing Cell (CTC) ready to be mobilised in the event of a confirmed case. Results Trial activation of the CTC during the preparation period helped to resolve some issues before ‘real’ activation. A highly flexible approach was needed due to the constant changes to the guidance that required rapid understanding, updates to pathways and clear communication to contact tracers. Conclusions Our experience and recommendations may benefit future efforts to control the spread of the virus in Wales and elsewhere, particularly in supporting COVID-19 outbreaks in enclosed settings such as care homes or in geographically localised areas. Learning from the initial public health response to COVID-19 will guide the delivery and implementation of a new contact tracing model as we move to a later stage of the pandemic when containment measures become feasible in localised outbreaks. This may include scaling-up the CTC to mobilise contact tracers to local teams and the potential use of digital technologies to support the next operational model of the CTC in Wales. Highlights • Contact tracing is one of the key public health response actions to control the outbreak of a novel virus.• For a CTC to be effective, identification and training of adequate numbers of staff needs to be done as early as possible.• A highly flexible approach was needed due to the logistical complexities of dealing with constant changes to the guidelines.• The mobilisation of non-health protection staff freed up health protection teams to deal with more complex issues.• Learning is needed to enhance future contact tracing activities when containment becomes feasible in localised outbreaks.

Project description:ObjectivesThis study quantified how the efficiency of testing and contact tracing impacts the spread of COVID-19. The average time interval between infection and quarantine, whether asymptomatic cases are tested or not, and initial delays to beginning a testing and tracing programme were investigated.SettingWe developed a novel individual-level network model, called CoTECT (Testing Efficiency and Contact Tracing model for COVID-19), using key parameters from recent studies to quantify the impacts of testing and tracing efficiency. The model distinguishes infection from confirmation by integrating a 'T' compartment, which represents infections confirmed by testing and quarantine. The compartments of presymptomatic (E), asymptomatic (I), symptomatic (Is), and death with (F) or without (f) test confirmation were also included in the model. Three scenarios were evaluated in a closed population of 3000 individuals to mimic community-level dynamics. Real-world data from four Nordic countries were also analysed.Primary and secondary outcome measuresSimulation result: total/peak daily infections and confirmed cases, total deaths (confirmed/unconfirmed by testing), fatalities and the case fatality rate. Real-world analysis: confirmed cases and deaths per million people.Results(1) Shortening the duration between Is and T from 12 to 4 days reduces infections by 85.2% and deaths by 88.8%. (2) Testing and tracing regardless of symptoms reduce infections by 35.7% and deaths by 46.2% compared with testing only symptomatic cases. (3) Reducing the delay to implementing a testing and tracing programme from 50 to 10 days reduces infections by 35.2% and deaths by 44.6%. These results were robust to sensitivity analysis. An analysis of real-world data showed that tests per case early in the pandemic are critical for reducing confirmed cases and the fatality rate.ConclusionsReducing testing delays will help to contain outbreaks. These results provide policymakers with quantitative evidence of efficiency as a critical value in developing testing and contact tracing strategies.

Dataset Information

African Americans views of COVID-19 contact tracing and testing.

Publications

African Americans views of COVID-19 contact tracing and testing.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets