Prioritizing COVID-19 Contact Tracing During a Surge Using Chatbot Technology

2022 ◽  
Vol 112 (1) ◽  
pp. 43-47
Author(s):  
Brady D. Johnson ◽  
Meg Wall Shui ◽  
Kiana Said ◽  
Alejandro Chavez ◽  
Darpun D. Sachdev
Keyword(s):  
Public Health ◽  
San Francisco ◽  
Support Services ◽  
Telephone Interview ◽  
Contact Tracing ◽  
Vulnerable Communities ◽  
Case Investigation ◽  
Zip Code

When COVID-19 cases surge, identifying ways to improve the efficiency of contact tracing and prioritize vulnerable communities for isolation and quarantine support services is critical. During a fall 2020 COVID-19 resurgence in San Francisco, California, prioritization of telephone-based case investigation by zip code and using a chatbot to screen for case participants who needed isolation support reduced the number of case participants who would have been assigned for a telephone interview by 31.5% and likely contributed to 87.5% of Latinx case participants being successfully interviewed. (Am J Public Health. 2022;112(1):43–47. https://doi.org/10.2105/AJPH.2021.306563 )

scholarly journals California's COVID-19 Virtual Training Academy: Rapid Scale-Up of a Statewide Contact Tracing and Case Investigation Workforce Training Program

2021 ◽  
Vol 9 ◽  
Author(s):  
Debbie B. Brickley ◽  
Maeve Forster ◽  
Amelia Alonis ◽  
Elizabeth Antonyan ◽  
Lisa Chen ◽  
...  
Keyword(s):  
Public Health ◽  
Los Angeles ◽  
Training Program ◽  
San Francisco ◽  
Curriculum Design ◽  
Scale Up ◽  
Contact Tracing ◽  
Infectious Period ◽  
Training Experience ◽  
Case Investigation

Case investigation (CI) and contact tracing (CT) are key to containing the COVID-19 pandemic. Widespread community transmission necessitates a large, diverse workforce with specialized knowledge and skills. The University of California, San Francisco and Los Angeles partnered with the California Department of Public Health to rapidly mobilize and train a CI/CT workforce. In April through August 2020, a team of public health practitioners and health educators constructed a training program to enable learners from diverse backgrounds to quickly acquire the competencies necessary to function effectively as CIs and CTs. Between April 27 and May 5, the team undertook a curriculum design sprint by performing a needs assessment, determining relevant goals and objectives, and developing content. The initial four-day curriculum consisted of 13 hours of synchronous live web meetings and 7 hours of asynchronous, self-directed study. Educational content emphasized the principles of COVID-19 exposure, infectious period, isolation and quarantine guidelines and the importance of prevention and control interventions. A priority was equipping learners with skills in rapport building and health coaching through facilitated web-based small group skill development sessions. The training was piloted among 31 learners and subsequently expanded to an average weekly audience of 520 persons statewide starting May 7, reaching 7,499 unique enrollees by August 31. Capacity to scale and sustain the training program was afforded by the UCLA Extension Canvas learning management system. Repeated iteration of content and format was undertaken based on feedback from learners, facilitators, and public health and community-based partners. It is feasible to rapidly train and deploy a large workforce to perform CI and CT. Interactive skills-based training with opportunity for practice and feedback are essential to develop independent, high-performing CIs and CTs. Rigorous evaluation will continue to monitor quality measures to improve the training experience and outcomes.

scholarly journals Implementing a digital system for contact tracing and case investigation during COVID-19 pandemic in San Francisco: a qualitative study

JAMIA Open ◽  
2021 ◽  
Author(s):  
Hailey Burgess ◽  
Luis Gutierrez-Mock ◽  
Y Xian Ho ◽  
Michelle Moghadassi ◽  
Neal Lesh ◽  
...  
Keyword(s):  
Public Health ◽  
San Francisco ◽  
Collaborative Work ◽  
Digital System ◽  
Digital Systems ◽  
Contact Tracing ◽  
Culturally Sensitive Care ◽  
Case Investigation ◽  
Share Data

Lay summary During the COVID-19 pandemic, many health departments implemented digital systems to collect, store, and share data for case investigation and contact tracing (CICT). In San Francisco, much of the contact tracing workforce was entirely remote and had little to no public health experience. Given this unique situation, we wanted to understand their experience with the digital system to inform future implementation of digital systems for public health responses. This case study describes how CICT workers in San Francisco experienced and used the digital system and how it could be improved. We conducted semi-structured 90-minute interviews and a short survey with a sample of 37 CICT workers, and found that, overall, the digital system was easy to learn and improved workers’ experience of data management during the pandemic. The digital system was also important in fostering a supportive and collaborative work environment. We found that the system could be improved to better support culturally sensitive care and highlight the importance of digital systems in ensuring equitable public health responses.

scholarly journals Coronavirus Disease 2019 Outbreak in a San Francisco Homeless Shelter

2020 ◽  
Author(s):  
Elizabeth Imbert ◽  
Patrick M Kinley ◽  
Ashley Scarborough ◽  
Caroline Cawley ◽  
Madeline Sankaran ◽  
...  
Keyword(s):  
Public Health ◽  
Severe Acute Respiratory Syndrome ◽  
San Francisco ◽  
Contact Tracing ◽  
Outbreak Response ◽  
Public Health Response ◽  
The Public ◽  
Case Investigation ◽  
Symptom Screening ◽  
Health Response

Abstract We report the public health response to a coronavirus disease 2019 (COVID-19) outbreak in a San Francisco shelter where 67% of residents and 17% of staff tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We describe the limited utility of case investigation, person-based contact tracing and symptom screening, and the benefits of mass testing in outbreak response.

scholarly journals Evaluating the impact of language concordance on COVID-19 contact tracing outcomes among Spanish-speaking adults in San Francisco between June and November 2020

2021 ◽  
Author(s):  
Amity Eliaz ◽  
Alden H Blair ◽  
Yea-Hung Chen ◽  
Alicia Fernandez ◽  
Alexandra Ernst ◽  
...  
Keyword(s):  
Public Health ◽  
Health Worker ◽  
San Francisco ◽  
Support Service ◽  
Contact Tracing ◽  
Primary Language ◽  
Public Health Worker ◽  
Spanish Speaking ◽  
Language Concordance ◽  
The Impact

Abstract We evaluated the impact of language concordance—clinician or public health worker fluency in a patient’s primary language—on COVID-19 contact tracing outcomes among 2668 Spanish-speaking adults in San Francisco. Language concordance was associated with 20% greater odds of COVID-19 testing and 53% greater odds of support service referrals.

scholarly journals Contact Tracing for COVID-19 Outbreak in Bahrain: Resource Allocation and Use of Non-health Volunteers

2021 ◽  
Vol 33 (3) ◽  
pp. 1-5
Author(s):  
Mohamed Abdulmajeed Alawadhi ◽  
Adel Al Sayyad ◽  
Afaf Merza ◽  
Kubra Al Sayed ◽  
Najat Abu Alfatah ◽  
...  
Keyword(s):  
Public Health ◽  
Resource Allocation ◽  
Disease Control ◽  
Contact Tracing ◽  
The Public ◽  
Case Investigation ◽  
Area Of Interest ◽  
Health Directorate ◽  
Control Section

The Disease Control Section in the Public Health Directorate is responsible for contact tracing amid the Coronavirus Disease-2019 (COVID-19) pandemic. The Section recruited volunteers to strengthen their contact tracing team. Moreover, a nationwide call for volunteers was ignited in order to support the groups with vigilant case investigation and tracing in order to limit the spread of the infection in the community. This viewpoint report shares the experience of the disease control section with the COVID-19 pandemic in 2020, shedding light on the use of non-healthcare background volunteers and their roles in contact tracing. The utilization of volunteers during outbreaks and emergencies helped multiple entities to continue their operations and thrived through expanding themselves into teams and units. Regardless of the skills and backgrounds of the volunteers, they were allocated efficiently according to their area of interest. This experience indicates that a sustainable volunteer pool is valuable to have, even in non-emergency occasions.

Establishment and Evaluation of a Large Contact-Tracing and Case Investigation Virtual Training Academy

2021 ◽  
pp. e1-e5
Author(s):  
Olivia Golston ◽  
Michael Prelip ◽  
Debbie Bain Brickley ◽  
Anne Cass ◽  
Lisa Chen ◽  
...  
Keyword(s):  
Public Health ◽  
Program Effectiveness ◽  
Course Completion ◽  
Contact Tracing ◽  
Rank Test ◽  
Virtual Training ◽  
Case Investigation ◽  
Signed Rank ◽  
Wilcoxon Signed Rank Test ◽  
Signed Rank Test

During the COVID-19 pandemic, the Virtual Training Academy (VTA) was established to rapidly develop a contact-tracing workforce for California. Through June 2021, more than 10 000 trainees enrolled in a contact-tracing or case investigation course at the VTA. To evaluate program effectiveness, we analyzed trainee pre- and postassessment results using the Wilcoxon signed-rank test. There was a statistically significant (P < .001) improvement in knowledge and self-perceived skills after course completion, indicating success in training a competent contact-tracing workforce. (Am J Public Health. Published online ahead of print October 28, 2021: e1–e5. https://doi.org/10.2105/AJPH.2021.306468 )

“PHONE-CONNECT” - A Pilot Program Prescribing Phones to Address Digital Health Equity Needs in the COVID-19 Era (Preprint)

2020 ◽  
Author(s):  
Gill Kazevman ◽  
Marck Mercado ◽  
Jennifer Hulme ◽  
Andrea Somers
Keyword(s):  
Public Health ◽  
Health Care ◽  
Social Services ◽  
Access To Health Care ◽  
Health Care Services ◽  
Point Of Care ◽  
Digital Health ◽  
Contact Tracing ◽  
Health Care Intervention ◽  
Care Intervention

UNSTRUCTURED Vulnerable populations have been identified as having higher infection rates and poorer COVID-19 related outcomes, likely due to their inability to readily access primary care, follow public health directives and adhere to self-isolation guidelines. As a response to the COVID-19 pandemic, many health care services have adopted new digital solutions, relying on phone and internet connectivity. Yet, persons who are digitally inaccessible, such as those struggling with poverty or homelessness, are often unable to utilize these services. In response to this newly highlighted social disparity known as “digital health inequity”, emergency physicians at the University Health Network, Toronto, initiated a program called “PHONE CONNECT”. This novel approach attempts to improve patients’ access to health care, information and social services, as well as improve their ability to adhere to public health directives (social isolation and contact tracing). While similar programs addressing the same emerging issues have been recently described in the media, this is the first time phones are provided as a health care intervention in an emergency department. This innovative ED point-of-care intervention may have a significant impact on improving the health outcomes for vulnerable people during the COVID-19 pandemic, and even beyond it.

Application of Inherent Risk of Contagion (IRC) framework & modelling to aid local Covid-19 response & mitigation: Viewpoint (Preprint)

2020 ◽  
Author(s):  
Helmi Zakariah ◽  
Fadzilah bt Kamaluddin ◽  
Choo-Yee Ting ◽  
Hui-Jia Yee ◽  
Shereen Allaham ◽  
...  
Keyword(s):  
Public Health ◽  
Public Health Problem ◽  
Analytical Framework ◽  
Vulnerable Population ◽  
Contact Tracing ◽  
Global Public Health ◽  
Inherent Risk ◽  
Transmission Area ◽  
Current Outbreak ◽  
Novel Coronavirus

UNSTRUCTURED The current outbreak of coronavirus disease 2019 (COVID-19) caused by the novel coronavirus named SARS-CoV-2 has been a major global public health problem threatening many countries and territories. Mathematical modelling is one of the non-pharmaceutical public health measures that plays a crucial role for mitigating the risk and impact of the pandemic. A group of researchers and epidemiologists have developed a machine learning-powered inherent risk of contagion (IRC) analytical framework to georeference the COVID-19 with an operational platform to plan response & execute mitigation activities. This framework dataset provides a coherent picture to track and predict the COVID-19 epidemic post lockdown by piecing together preliminary data on publicly available health statistic metrics alongside the area of reported cases, drivers, vulnerable population, and number of premises that are suspected to become a transmission area between drivers and vulnerable population. The main aim of this new analytical framework is to measure the IRC and provide georeferenced data to protect the health system, aid contact tracing, and prioritise the vulnerable.

Complaint-Oriented “Services”: Shelters as Tools for Criminalizing Homelessness

2021 ◽  
Vol 693 (1) ◽  
pp. 264-283
Author(s):  
Chris Herring
Keyword(s):  
Public Health ◽  
San Francisco ◽  
Homeless People ◽  
Public Spaces ◽  
Health Initiatives ◽  
Public Health Initiatives

This article argues that the expansion of shelter and welfare provisions for the homeless can lead to increased criminalization of homeless people in public spaces. First, I document how repression of people experiencing homelessness by the police in San Francisco neighborhoods increased immediately after the opening of new shelters. Second, I reveal how shelter beds are used as a privileged tool of the police to arrest, cite, and confiscate property of the unhoused, albeit in the guise of sanitary and public health initiatives. I conclude by considering how shelters increasingly function as complaint-oriented “services,” aimed at addressing the interests of residents, businesses, and politicians, rather than the needs of those unhoused.

scholarly journals Emotional and Mental Wellbeing Following COVID-19 Public Health Measures on People Living With Dementia and Carers

2021 ◽  
pp. 089198872199681
Author(s):  
Kerry Hanna ◽  
Clarissa Giebel ◽  
Hilary Tetlow ◽  
Kym Ward ◽  
Justine Shenton ◽  
...  
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Social Support ◽  
Support Services ◽  
Mental Wellbeing ◽  
Daily Lives ◽  
Health Measures ◽  
Social Support Services ◽  
The Uk ◽  
The Impact

Background: To date, there appears to be no evidence on the longer-term impacts caused by COVID-19 and its related public health restrictions on some of the most vulnerable in our societies. The aim of this research was to explore the change in impact of COVID-19 public health measures on the mental wellbeing of people living with dementia (PLWD) and unpaid carers. Method: Semi-structured, follow-up telephone interviews were conducted with PLWD and unpaid carers between June and July 2020. Participants were asked about their experiences of accessing social support services during the pandemic, and the impact of restrictions on their daily lives. Results: 20 interviews were conducted and thematically analyzed, which produced 3 primary themes concerning emotional responses and impact to mental health and wellbeing during the course of the pandemic: 1) Impact on mental health during lockdown, 2) Changes to mental health following easing of public health, and 3) The long-term effect of public health measures. Conclusions: The findings from this research shed light on the longer-term psychological impacts of the UK Government’s public health measures on PLWD and their carers. The loss of social support services was key in impacting this cohort mentally and emotionally, displaying a need for better psychological support, for both carers and PLWD.

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