Find Resources
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.
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 the work of Israel’s multidisciplinary academic group on children and coronavirus (MACC) to examine the role of children in viral transmission and assessing the necessity and consequences of restricted in-class education. This article focuses on the evolution, activities, policy inputs, and media profile of MACC, and discusses the role of academics in advocacy and activism in the midst of a global pandemic.
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 article parallels the works of the multidisciplinary academic group on children and coronavirus (MACC) in Israel with a multidisciplinary team from John Hopkins’ own efforts to create data-driven solutions to minimize health and education inequities for children throughout the COVID-19 pandemic. This project produced several outputs including a series of free, web-based, school-reopening modules for school and district administrators; a 2020-2021 School Reopening Tracker based on publicly available data sources; a Teacher & School Staff Vaccination COVID-19 Dashboard; and a COVID-19 Global Education Recovery Tracker. Links to all these resources are included in the article.
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.