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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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Op-ed
This op-ed discusses the minimal progress that has been made towards understanding the causes and treatment of long COVID. The main crux of the author’s argument is that long COVID is essentially the same condition as post-infectious syndrome or myalgic encephalomyelitis / chronic fatigue syndrome (ME/CFS). Thus, long COVID is actually not a new condition, but rather something triggered by acute COVID in the same way that many other illnesses can trigger ME/CFS in individuals. ME/CFS itself is not well-understood, but the years of research and patient experiences with the condition could be applied to the body of long COVID research for the advancement of both causes.
Established Practices that show evidence of effectiveness in improving public health outcomes when implemented in multiple real-life settings, as indicated by previous studies that are consistent with the objectives of the activities.
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Summary Report/Recommendations
Researchers conducted a series of interviews with administrators from 40 different nursing homes across the US between July 2020 and December 2021 to better understand their experiences amidst the COVID-19 pandemic. Interviewees described the adverse effects of the pandemic on the physical and mental health of the residents in their facilities as restrictions around visitation, socializing, and communal dining created isolating, inactive conditions. Administrators also expressed concerns for the longevity of the nursing home industry in the wake of the pandemic and resulting reductions in revenue and pervasive negative perceptions of nursing homes in the media.
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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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.
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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.
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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.
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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.
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
Using available COVID-19 case and vaccination data, the CDC compared three different methodologies for grouping race/ethnicity COVID-19 data. Two of these methodologies are focused on how to group race/ethnicity when fields are missing. The results show that methods that use race information when ethnicity is missing resulted in higher estimated COVID-19 cases, incidence, and vaccination coverage. However, more work must be done to improve upon these methods in order to create more equitable and reliable data.