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Dynamic causal modeling of the COVID-19 pandemic in northern Italy predicts possible scenarios for the second wave
2020-08-23
public and global health
Title + abstract only
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The COVID-19 pandemic has sparked an intense debate about the factors underlying the dynamics of the outbreak. Mitigating virus spread could benefit from reliable predictive models that inform effective social and healthcare strategies. Crucially, the predictive validity of these models depends upon incorporating behavioral and social responses to infection that underwrite ongoing social and healthcare strategies. Formally, the problem at hand is not unlike the one faced in neuroscience when mod...
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