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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.
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Evaluation Report
This case study presents findings on place-based initiatives to address social determinants of health and health inequities through the Action Centers in New York City. The Action Centers, hosted by the Health Department, are a way to address community-level social determinants of health by providing low-cost office space to partner organizations and free convening space for events, meetings, and programs. This ultimately increases community members’ access to services, beyond what the Health Department or individual organizations can offer.
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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Evaluation Report
This study of a community-based and bilingual nutrition and health program called the Eat Healthy Program in New York City presents findings to understand potential behavior changes among participants and how the program is integrated into a larger neighborhood health strategy in Harlem. The Eat Healthy Program educated participants on healthy nutrition and living, gave out farmers’ market coupons. Focus groups showed that participants adopted new healthy behaviors as a result, although some barriers to healthy living persisted. The findings suggested that this type of health promotion program as a part of a neighborhood health strategy may be an effective model for impacting health behavior and the utilization of local farmers’ markets in low income neighborhoods of color.
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.
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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Systematic Review/Meta-Analysis
This article details an exploratory roadmap to address how artificial intelligence can assist in linking clinical and community data to enhance population health and the reduction of health disparities. The article uses a literature review to create the roadmap.
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 literature review examines technology companies that have created initiatives to address digital health literacy and the impact of those initiatives. The review found 38 companies with relevant initiatives, but limited data on their effectiveness.
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 review looks at how artificial intelligence and big data can help manage the pandemic, including monitoring, forecasting, and predicting future outbreaks and resource utilization.
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.