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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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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.
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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 paper contains a review of the role of telehealth and digital care solutions, application types, and current COVID-19 policies. The study includes information for medical staff on the potential of digital technologies to provide support during and after the pandemic.
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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
This article analyzes county-level data for vaccination rates and social determinants of health factors for Tennessee between February and May 2021. The machine learning model was able to predict COVID-19 incidence, as well as detect rates of disparities for social determinants such as transportation and access to health care.
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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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White Paper/Brief
The article discusses the California Health Interview Survey (CHIS) redesign and stakeholder engagement in 2020. It describes data collection and data release adaptations CHIS made in response to the COVID-19 pandemic, considers the implications of these changes on data quality, and discusses future implications on data collection for population-based surveys such as the CHIS. The two principal objectives are strongly aligned with the policy data demands of understanding the unequal toll of the pandemic on California counties and on racial and ethnic groups.
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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
This study looked at 62 healthcare facilities to see if there were differences in COVID-19 mortality rates among members of different racial/ethnic groups. The results showed a significant increase in mortality for Black and African American individuals compared to White individuals hospitalized for COVID-19.
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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:
White Paper/Brief
This article reviews the variations in surveillance practices among public health agencies, which analyze and present newly confirmed cases by a wide variety of dates. It concludes that standardization could improve public comprehension, policymaking, and outbreak response.
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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
The article highlights the need for routine collection, in public health data, of disaggregated information on race, ethnicity, and immigration status, which is not currently available in most countries. Studies from the United States and the United Kingdom have revealed major health inequities among members of racial and ethnic minorities, but little is known about the impact of immigration status on COVID-19 outcomes. These data gaps are a major impediment to designing effective tailored interventions for these populations. Collection and dissemination of COVID-19 data by country of birth or self-reported race/ethnicity (for second- or several-generational minorities) will help determine the relative contribution of each of the driving factors for the observed health disparities.
Tools Included
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:
Peer Review Study
The article presents data on the racial and ethnic distribution of COVID-19-confirmed cases and fatalities in Connecticut. The authors call for a National Commission on COVID-19 Racial and Ethnic Health Disparities to further explore and respond to the unique challenges that the crisis presents for Black and brown communities. The authors offer a request for data: data and trends on numbers from racial and ethnic groups affected by COVID-19 must be provided by the state and national health departments.
Tools Included
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:
Peer Review Study
This systematic analysis of official websites for 20 countries and 6 U.S. states revealed a wide disparity in sex-disaggregated data made available to the public and scholars. There were few cases reported by sex. None of the other characteristics were stratified by sex. The study also found a paucity of usable raw data sets and a generalized lack of standardization of captured data, making comparisons difficult. A second round of data found more complete information. The analysis revealed a wide range of sex ratios among confirmed cases. In countries where a male bias was initially reported, the proportion of women dramatically increased in 3 weeks. Accurate, peer-reviewed analysis of harmonized, sex-disaggregated data for characteristics of epidemics, such as availability of testing, suspected source of infection, or comorbidities, will be critical to understand where the observed disparities come from and to generate evidence-based recommendations for decision-making by governments.
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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 report from the National Academies of Sciences, Engineering, and Medicine proposes a uniform national framework for data collection to more accurately quantify disaster-related deaths, injuries, and illnesses. This article describes how following the report’s recommendations could help improve the quality and timeliness of public health surveillance data during pandemics, with special attention to addressing gaps in the data necessary to understand pandemic-related health disparities.
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