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Best Practices that show evidence of effectiveness in improving public health outcomes when implemented in multiple real-life settings, as indicated by achievement of aims consistent with the objectives of the activities.
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Systematic Review/Meta-Analysis
This article was a literature review and meta-analysis on the evidence for prevention strategies to limit the spread of COVID-19 and other coronaviruses, such as the ones that cause SARS and MERS. The review included data from 172 studies in 16 countries to identify evidence-based preventive strategies. The study emphasizes the importance of using face masks, eye protection, physical distancing, and contact tracing.
Best Practices that show evidence of effectiveness in improving public health outcomes when implemented in multiple real-life settings, as indicated by achievement of aims consistent with the objectives of the activities.
RELEASE DATE:
Systematic Review/Meta-Analysis
This source reviews how the COVID-19 pandemic has affected children and families, and gives recommendations on how these families and surrounding stakeholders can better support them. This includes ensuring age-appropriate information is available for parents and children, supporting childcare needs, collaborating with schools or trusted community institutions, and creating policies that support overall health, safety, and wellbeing as the pandemic continues on.
Best Practices that show evidence of effectiveness in improving public health outcomes when implemented in multiple real-life settings, as indicated by achievement of aims consistent with the objectives of the activities.
RELEASE DATE:
Systematic Review/Meta-Analysis
This article provides a systematic review of 22 studies focusing on mobile health apps for COVID-19 which were selected from PubMed, Scopus, and the WHO global research database. Intervention components, study designs, and outcomes/findings are presented in table format in addition to a discussion of main findings across all studies.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Toolkit
This guide provides tools for states, counties, and city health departments to advance community-based workforce principles. It provides an overview, suggested strategies, and resources for adopting the six principles. The principles include: recruiting with a racial equity framework; investing in trusted voices (including community health workers); strengthening connections with psychosocial services; embedding job training and pipelines to careers; launching community-based jobs programs; and strengthening community funding.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Peer Review Study, Systematic Review/Meta-Analysis
The authors conducted a systematic review to understand disparities in H1N1 vaccine uptake by race/ethnicity, socioeconomic status, rural/urban residence, population density, and disability status, and factors associated with unequal uptake, as well as the benefits and harms of interventions designed to attenuate inequities in H1N1 vaccine uptake—in an effort to address potential disparities in COVID-19 vaccine access and uptake.
Best Practices that show evidence of effectiveness in improving public health outcomes when implemented in multiple real-life settings, as indicated by achievement of aims consistent with the objectives of the activities.
RELEASE DATE:
Toolkit
The PhenX Social Determinants of Health (SDOH) Assessments Collection, now available in the PhenX Toolkit, contains protocols to help measure upstream factors that shape behaviors and health outcomes. The PhenX Toolkit provides recommended standard data collection protocols for conducting biomedical research. The protocols are selected by working groups of domain experts using a consensus process, which includes the scientific community. The toolkit provides detailed protocols for collecting data and tools to help investigators incorporate these protocols into their studies. Using protocols from the PhenX Toolkit facilitates cross-study analysis, potentially increasing the scientific impact of individual studies.
Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
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Toolkit
This data dashboard provides a map that details which states are reporting race and ethnicity in their case, mortality, testing, and vaccination data, and includes a state action chart that provides information on how states plan to focus on equity beyond the COVID-19 pandemic.
Novel Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.
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Toolkit
The toolkit describes positive and problematic practices for centering racial equity across the six stages of the data life cycle: (1) data collection, (2) data access, (3) use of algorithms and statistical tools, (4) data analysis, and (5) reporting and dissemination.
Novel Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.
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Toolkit
The Community Information Exchange (CIE) Data Equity Framework’s goal is to build data systems to help institutions, and the communities they serve, approach CIE® planning and systems change work from a place of anti-racism by: (1) naming how data system design reflects understanding of and participation by the intended beneficiaries of current programs and interventions; (2) acknowledging and documenting the effects of a spectrum of data system design types on oppressed populations and communities; (3) identifying strategies needed to eliminate the harm of current processes and practices; (4) highlighting the behavior change needed to rebuild or change the overall data system to better meet community needs across racial and ethnic populations; and (5) adopting practices that promote restorative justice and mitigate harm and exploitation.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Systematic Review/Meta-Analysis
This article explores how health data technology tools such as Artificial Intelligence (AI) and Machine Learning (ML) tools can be implemented and adapted to assist in better responses and outcomes to the COVID-19 pandemic, as well as future epidemics. This literature review focuses on peer-reviewed articles concerning four themes: COVID-19 and the need for AI; utility of AI in COVID-19 screening, contract tracing, and diagnosis; use of AI in COVID-19 patient monitoring and drug development; AI beyond COVID-19 and opportunities for Low-Middle Income Communities (LMIC). This review contains examples of ways healthcare systems have implemented AI and ML to predict and treat outcomes of COVID-19, as well as potential capacities for AI.