Building case investigation and contact tracing programs in U.S. state and local health departments: a conceptual framework
Woodward, A.; Rivers, C.
Show abstract
The COVID-19 pandemic and earlier health events have demonstrated that when effectively implemented, case investigation and contact tracing (CI/CT) can break chains of transmission by promptly identifying, quarantining, and monitoring the contacts of infected cases, thereby limiting further spread of a disease in a community. Many public health experts agree that implementing CI/CT at the early stages of an outbreak can be an extremely effective approach to controlling an outbreak; as such, health departments must have CI/CT capacities in place prior to the detection of an outbreak to ensure readiness to respond. At the onset of the COVID-19 pandemic, and to this day, U.S. state and local public health departments lack comprehensive CI/CT guidelines that clearly define the capabilities, capacities, outcomes, and impacts of CI/CT programs. This research has resulted in the first comprehensive analysis of the goals, capabilities, and capacities of CI/CT programs, as well as a conceptual framework that represents the relationships between these program components and considerations. Our findings highlight the need for further guidance to assist U.S. state and local public health departments in shifting CI/CT program goals as outbreaks evolve. Moreover, training the public health workforce on making decisions around CI/CT program implementation during evolving outbreaks is critical to ensure readiness to respond to a variety of outbreak scenarios.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- How do local-level authorities engage in epidemic and pandemic preparedness activities and coordinate with higher levels of government? Survey results from 33 cities 95%
- Urban pandemic response: survey results describing the experiences from twenty-five cities during the COVID-19 pandemic 95%
- Subnational tailoring of malaria interventions for strategic planning and prioritization: experience and perspectives of five malaria programs 94%
Similar papers in this journal
- Reliability of COVID-19 data: An evaluation and reflection 93%
- COVID-19 self-testing in Nigeria: Stakeholders’ opinions and perspective on its value for case detection 93%
- Community health worker knowledge, attitudes and practices towards COVID-19: learnings from an online cross-sectional survey using a digital health platform, UpSCALE, in Mozambique 93%
Similar papers in this journal
- Rising Through the Pandemic: A scoping review of quality improvement in public health during the COVID-19 pandemic 97%
- Assessing the value and knowledge gains from an online tick identification and tick-borne disease management course for the Southeastern United States 92%
- Community Perceptions of Vaccination Among Influential Stakeholders: Qualitative Research in Rural India 92%
Similar papers in this journal
- Cross-sector Decision Landscape in Response to COVID-19: A Qualitative Analysis of North Carolina Decision-Makers 97%
- Providing a safe, in-person, residential college experience during the COVID-19 pandemic 92%
- Strategies to Estimate Prevalence of SARS-CoV-2 Antibodies in a Texas Vulnerable Population: Results from Phase I of the Texas Coronavirus Antibody REsponse Survey (TX CARES) 91%
Similar papers in this journal
- Impact of COVID-19 Pandemic on Utilization of Facility-Based Essential Maternal and Child Health Services in North Shewa Zone, Ethiopia 94%
- How can rural community-engaged health services planning affect sustainable health care system changes? - A process description and qualitative analysis of data from the Rural Coordination Centre of British Columbia’s Rural Site Visits Project 93%
- Tuberculosis services delivery challenges and their mitigations during the COVID-19 pandemic in Tanzania: A qualitative study 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.