







Explore US domestic policies and their impact on public health across all branches of government.
Avoidable mortality, risk factors and policies for tackling noncommunicable diseases – leveraging data for impact: monitoring commitments in the WHO European Region ahead of the Fourth United Nations High-Level Meeting
The report notes that, in order to tackle NCDs and address the commercial, social, environmental and digital determinants of health, there is a need for accelerated multisectoral whole-of-government and whole-of-society action, integrated policies, enhanced preventive measures and strengthened health systems.

Impact Dashboard - Impact Counter | Impact Counter
Visualize the human impact of funding changes for aid and support organizations.
Valuing What Counts: Framework to Progress Beyond Gross Domestic Product: Our Common Agenda Policy Brief 4
Health-Informed Computing: Estimating and Addressing the Public Health Impact of Data Centers
The surging demand for artificial intelligence (AI) has led to a rapid expansion of energy-intensive data centers, contributing to criteria air pollutant emissions and raising public health concerns that have received comparatively limited attention in sustainability assessments. This paper introduces a principled methodology to model air pollutant emissions for data centers and estimate the public health impacts. Our findings reveal that the growing demand for AI and computing technologies is projected to push the total annual public health burden of U.S. data centers up to more than $20 billion in 2028. Although national-level impacts remain modest, data center health costs are unevenly distributed: in the most affected counties, the estimated per-household health burden can reach about seven times the national average. Next, we propose a health-informed computing framework that explicitly incorporates public health impacts into data center resource management across space and time, mitigating public health costs while supporting environmental sustainability. More broadly, we recommend extended energy reporting to include public health impact of data centers and paying attention to all impacted communities.

Health-Informed Computing: Estimating and Addressing the Public Health Impact of Data Centers
The surging demand for artificial intelligence (AI) has led to a rapid expansion of energy-intensive data centers, contributing to criteria air pollutant emissions and raising public health concerns that have received comparatively limited attention in sustainability assessments. This paper introduces a principled methodology to model air pollutant emissions for data centers and estimate the public health impacts. Our findings reveal that the growing demand for AI and computing technologies is projected to push the total annual public health burden of U.S. data centers up to more than $20 billion in 2028. Although national-level impacts remain modest, data center health costs are unevenly distributed: in the most affected counties, the estimated per-household health burden can reach about seven times the national average. Next, we propose a health-informed computing framework that explicitly incorporates public health impacts into data center resource management across space and time, mitigating public health costs while supporting environmental sustainability. More broadly, we recommend extended energy reporting to include public health impact of data centers and paying attention to all impacted communities.

Why Do Americans Have Shorter Life Expectancy and Worse Health Than Do People in Other High-Income Countries?
Americans lead shorter and less healthy lives than do people in other high-income countries. We review the evidence and explanations for these variations in longevity and health. Our overview suggests that the US health disadvantage applies to multiple mortality and morbidity outcomes. The American health disadvantage begins at birth and extends across the life course, and it is particularly marked for American women and for regions in the US South and Midwest. Proposed explanations include differences in health care, individual behaviors, socioeconomic inequalities, and the built physical environment. Although these factors may contribute to poorer health in America, a focus on proximal causes fails to adequately account for the ubiquity of the US health disadvantage across the life course. We discuss the role of specific public policies and conclude that while multiple causes are implicated, crucial differences in social policy might underlie an important part of the US health disadvantage.


Tracking regulatory changes in the second Trump administration | Brookings
How much regulation is happening under the Trump administration? This tracker helps you monitor a selection of delayed, repealed, and new rules, notable guidance and policy implementations, and important court battles covering energy, health, labor, and more.

Want More Policies Based on Evidence?
Medicine teaches us it will take time, effort, and investment.

Project 2025 Tracker
A comprehensive, community-driven initiative to track the implementation of Project 2025's policy proposals
Meta to roll back Covid-19 misinformation measures
Meta is revising its policies to take a regional approach towards countries that still have public health emergency declarations.

Document analysis in health policy research: the READ approach
Abstract. Document analysis is one of the most commonly used and powerful methods in health policy research. While existing qualitative research manuals of

Restrictive ID Policies: Implications for Health Equity
Official websites use .gov A .gov website belongs to an official government organization in the United States.

9/11 Health
For over two decades the Registry researchers have been tracking health trends, investigating emerging health conditions, and identifying gaps in care among people affected by 9/11.
Researchers Estimate USAID Cuts Have Already Led to 700,000 Deaths Worldwide
World Health Organization estimates show that emergency health services reached more than 80 million people in 2024 but more than 50 million fewer in 2025

A Call for a Unified Database to Address Exposure Disparities in the United States
United States (US) drinking water quality is federally regulated under the Safe Drinking Water Act (SDWA) with the goal of ensuring clean, safe drinking water for the entire population. However, siting of pollution point sources in historically redlined communities with lower socioeconomic status and higher proportions of people of color adversely affects drinking water quality. Prior studies show higher concentrations of a suite of contaminants in small PWS, PWS in rural areas, and PWS serving greater proportions of people of color. Drinking water crises in Flint, Michigan (ca. 2014) and Jackson, Mississippi (ca. 2022) are visible examples of a chronic and widespread pattern of elevated exposures in certain communities. Comprehensive state monitoring data produced as part of compliance with the SDWA are presently not accessible to the public. Further, metadata on water treatment technology and sociodemographic composition of customers served are lacking. Here we argue that improving data transparency is essential for spearheading action to address exposure disparities. We propose the creation of a unified national public database on water quality, treatment technology, and customer metadata with accompanying visualizations for the public that leverage new AI tools. Public action to address exposure disparities gained momentum over the last 30 years but was halted abruptly in 2025. Therefore, new partnerships are urgently needed to continue the pursuit of environmental justice.,
