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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.
RELEASE DATE:
Systematic Review/Meta-Analysis
This article described a systematic analysis of various telehealth interventions designed to increase access to mental health services for ethnic minority and Indigenous peoples. The review included 58 articles of interventions culturally tailored to the following populations: Indigenous, African American, Hispanic/Latino, Chinese, and Korean populations. Some key themes included community involvement, quality service delivery, enhanced access and rapport, and multi-organizational partnerships.
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.
RELEASE DATE:
Systematic Review/Meta-Analysis
This is a list of recommendations based on a review of the literature focusing on promoting health equity in the delivery of virtual care. The authors conducted a narrative review of literature on health equity and virtual care during the COVID-19 pandemic published in 2020, describing strategies that have been proposed in the literature at three levels: (1) policy and government, (2) organizations and health systems, and (3) communities and patients. They discuss three strategies for promoting health equity through virtual care: (1) simplifying complex interfaces and workflows, (2) using supportive intermediaries, and (3) creating mechanisms through which marginalized community members can provide immediate input into the planning and delivery of virtual care.
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 summarizes the factors that place incarcerated people at high risk for COVID-19 infection and the effective strategies to reduce transmission and complications due to COVID-19, informed by other infectious disease outbreaks. The authors highlight the role of interagency collaboration, health communication, screening for contagious diseases, restriction, isolation and quarantine, contact tracing, immunisation programmes, epidemiological surveillance, and prison-specific guidelines in managing any outbreaks.
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.
RELEASE DATE:
Systematic Review/Meta-Analysis
This article summarizes considerations for COVID-19 prevention among migrant workers in meat processing plants. They review evidence on vaccinations, air filtration, masking, and other approaches.
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 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.
RELEASE DATE:
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.
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.
RELEASE DATE:
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.