Policy

A child receiving a vaccination.

Unique Policy Challenges for Children's Health Care Access

New analysis from N'dea Moore-Petinak

Since 2016, the rate of uninsured children in the US has begun to rise for the first time since the adoption of the Children's Health Insurance Program (CHIP) in 1997. A new paper published this week in JAMA Pediatrics analyzes new and existing threats to children’s access to health insurance. Read more

A pack of cigarettes

Web-Based Tool Calculates Lives Saved, Policy Implications of Tobacco Control

The Tobacco Control Policy (TCP) tool is an interactive simulation modeling application developed by Jamie Tam, assistant professor at the Yale School of Public Health, Rafael Meza, associate professor at the University of Michigan School of Public Health, and the NCI-funded Cancer Intervention and Surveillance Modeling Network (CISNET) lung consortium. Read more

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Public Health Surveillance: Immunity, Testing, and Contact Tracing

Q&A with Abram Wagner

Long before we could sequence a virus’s genome in a matter of weeks, we used public health tactics like contact tracing to sort out the movement of a disease in a population. Contact tracing is one of the “traditional” tools of epidemiologists. Today, we have more public health surveillance tools at our disposal, and we’ll need both the old and the new to bring COVID-19 under control. Read more

Hotspot map of the world with Coronavirus cases.

Digesting the Data: Tips for Understanding and Acting on the Coronavirus Numbers

Q&A with Neil K. Mehta

Humans produce a lot of data, and it seems the current epidemic crisis has accelerated our production of and engagement with numbers, graphs, and maps. But we can learn a lot from all the statistics, especially if we know how to digest and interpret it all. Demography expert Neil Mehta shares his thoughts on how to follow and understand the coronavirus outbreak in a meaningful way. Read more

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Social Distancing: Data Models for a Model Response to an Outbreak

Q&A with Peter Song

Biostatistics expert Peter Song and team have created a tool to assess the effectiveness of preventive measures in the fight against the COVID-19, still a new disease with many unknowns. The model lets us compare the impact of different levels of intervention so different locales can develop better strategies and policies to flatten the coronavirus curve. Read more