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A Simulation Using the Social Genome Model
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Although the US has made progress preventing and reducing children’s exposure to lead, many children are still at risk. Using the Social Genome Model, a statistical model that links individuals’ circumstances and outcomes from birth to age 40, we find that policies that target children at risk of high blood lead levels and prevent their exposure to lead can improve children’s educational outcomes and reduce their chance of having a teen birth or criminal conviction. Details on these policies appear in The Health Impact Project’s 10 Policies to Prevent and Respond to Childhood Lead Exposure.