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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:
Summary Report/Recommendations
This commentary discusses the importance of inclusive health systems strengthening in promoting equity during health emergencies, using the example of disability inclusion in the COVID-19 pandemic. It highlights the increased risks faced by persons with disabilities during the pandemic and the barriers they encounter in accessing healthcare. It emphasizes the need for accessible and comprehensive health emergency preparedness and response plans that consider the needs of persons with disabilities. It also explores strategies for disability inclusion in COVID-19 responses, such as producing accessible public health information and involving organizations of persons with disabilities in decision-making processes. Opportunities to strengthen inclusion and equity in COVID-19 responses include equitable access to telehealth and inclusive decision-making processes.
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 review of state data collection and reporting practices during the COVID-19 pandemic found inconsistencies and gaps in data collected by race and ethnicity. Improved standardization across the U.S.–which may come in the form of a federally-operated centralized database–would address some of the concerns in data representation of all Americans.
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 analysis explores regional variation in COVID-19 death rates across America. It unpacks the “two Americas” narrative of some parts of the country having high demand for vaccines and others having widespread vaccine hesitancy, and shows that a divide between rates of exceeds death existed prior to the introduction in vaccines. This difference is likely due to a difference in mask use, social distancing, and other behaviors. Results underscore the importance of excess mortality measures such as wastewater testing to get a more accurate picture.
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 study analyzes different epidemic models of COVID-19. It demonstrates the variability of models’ ability to predict COVID-19 transmission and outbreak. It advises public health practitioners to exercise caution when formulating public health strategies based on the prediction results of mathematical models due to this variability.
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:
Summary Report/Recommendations
The Johns Hopkins University COVID-19 dashboard, which was launched one day after the first confirmed US COVID-19 case, provides an accessible means of viewing COVID-19 cases, deaths, recoveries, and vaccination rates globally. This report covers the data collection process and challenges faced while doing so, especially those related to pulling data from various sources. It offers ways for public health agencies to adapt their approaches for reporting data.
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:
Summary Report/Recommendations
This article seeks to assess COVID-19 case and mortality rates in non-Hispanic American Indian and Alaska Natives (AI/AN) through an analysis of laboratory-reported COVID-19 data from January 22-July 3, 2020, for 23 U.S. states. The results show that AI/AN individuals are 3.5 times more likely to contract COVID-19 than White individuals, and more accurate race/ethnicity data must be reported by all states to more accurately represent this population.
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 offers to provide context for the indirect health effects of the COVID-19 pandemic thus far, including its impact on health service delivery and utilization. Results found an overall decrease in utilization of health services for non-COVID-19 related care, which could lead to an increase in chronic diseases in the future as patients are not receiving timely checkups.
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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Summary Report/Recommendations
This article discusses the current trends for collecting race/ethnicity data and other social determinants of health, which evolved from the 1978 Office of Management and Budget directive “Race and Ethnic Standards for Federal Statistics and Administrative Reporting.” The article comments on the inability of the current system to capture the nuance necessary to depict and address health inequities within the United States, and advocates for the immediate adoption of collecting primary/preferred language and country of birth/origin to capture more complete data on individuals.
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 systematic review examines COVID-19 literature on infections, hospitalizations, or deaths by race and ethnicity in the United States. Results found that Black and Hispanic populations experience higher rates of COVID-19 infection and COVID-19 related mortality, but similar rates of case fatality.
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:
Summary Report/Recommendations
This article discusses incorporating geographic information science and technology (GIS&T) into COVID-19 pandemic surveillance, modeling, and response. Applications include: 1) developing spatial data infrastructures for surveillance and data-sharing; 2) incorporating mobility data in infectious disease forecasting; 3) using geospatial technologies for digital contact tracing; 4) integrating geographic data into COVID-19 modeling; 5) investigating geographic social vulnerabilities and disparities; and 6) communicating the status of the disease or status of facilities for return-to-normal operations.