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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.
Even before the coronavirus pandemic wreaked havoc with the nation's food supply and economy, one in seven adults between the ages of 50 and 80 already had trouble getting enough food because of cost or other issues, a new poll finds.
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.
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.
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.
Cultural institutions and programs are shutting down to mitigate the spread of coronavirus. To better understand what it means to “flatten the curve,” we asked Dr. Laura Power, director of the Preventive Medicine Residency at the School of Public Health, for some perspectives from the field of public health.