guide decision-making during the COVID-19 pandemic. The data are presented in interactive maps and downloadable resources that users can incorporate directly into their research and data products. The demographic, socio-economic, and housing data come from the Census Bureau’s American Community Survey (ACS). The site features county-level Community Resilience Estimates.
2021 Kids Count Data Book - State Trends in Child Well-Being: Provides an annual state-by-state data set for 16 indicators of child well-being, spanning four domains of economic well-being, education, health, and family and community. The Annie E. Casey Foundation’s data book includes analysis of national and state-by-state trends on each measure and includes related policy recommendations. The 2021 Data Book and report present the most recent information available, while admittedly offering only a limited assessment of the impact of the pandemic that whose longer-term effects will become increasingly evident in the year ahead.
Phase 2 Restart and Recovery: Highlights healthy and safe protocols for reopening schools, parent and family engagement supports, and guidance on trauma-informed social and emotional learning. The Council of Chief State School Officer’s [CCSSO] Restart and Recovery plan is intended to support complex planning and preparation demands on states as they restart schools and recover student learning.
COVID-19 Planning Considerations: Guidance for School Re-entry: Lists and describes numerous factors that should influence and shape collaborative decision-making among school districts, state and local health departments to facilitate a safe and appropriate return to in-person school for K-12 students. This resource, from the American Academy of Pediatrics, focuses especially on student-centered and on environmental considerations, and provides a curated set of resources from both AAP and CDC to support preparations for returning to school.
Evaluating Data Types: A Guide for Decision Makers Using Data to Understand the Extent and Spread of COVID-19: Aims to help leaders and decision makers to evaluate strengths and weaknesses of data on the COVID-19 pandemic in their communities by applying a set of criteria to available types of data available to support decision making (e.g. about the timing, pace and nature of school re-opening). This product of the Societal Experts Action Network of the National Academies of Science, Engineering and Medicine examines seven data types: the number of confirmed cases, hospitalizations, emergency department visits, reported confirmed COVID-19 deaths, excess deaths, fraction of viral tests that are positive, and representative prevalence surveys (including both viral and antibody tests). Because any single data type is likely to yield an under- or over- estimate of the extent and spread of the disease, it is important to consider multiple data types and be cautious in relying on estimates without considering sources of bias.
Transitioning from CDC's Indicators for Dynamic School Decision-Making (released September 15, 2020) to CDC's Operational Strategy for K-12 Schools through Phased Mitigation (released February 12, 2021) to Reduce COVID-19: Presents a variety of decisions about in-person learning as local conditions evolve throughout the pandemic. When coupled with local data about community spread, these indicators can assist local health officials, school administrators, and communities prepare, plan, and respond to COVID-19.
COVID-19 Demographic and Economic Resources, U.S. Census Bureau: Presents selected Census Bureau demographic and economic data to help guide decision-making during the COVID-19 pandemic. The Census Bureau also provides a Frequently Asked Questions [FAQ] guide to the COVID-19 data hub.
Burbio's K-12 School Opening Tracker: Audits a comprehensive set of K-12 learning plans (i.e., virtual, traditional in-person, and hybrid) across districts representing 3,000 US counties, including the 200 largest school districts. District plans are reviewed every 72 hours to identify changes. Schoo