TechRxiv
DatadrivenPolicyResponseatStateLevel.pdf (1.27 MB)

Data-driven Public Health and Social Intervention Modeling to Promote Effective Policy Responses to Curtailing the COVID-19 Pandemic

Download (1.27 MB)
preprint
posted on 08.07.2020 by Robin Qiu
We might have to live with COVID-19 until 2025 according to a recent report published in Science! But if we act smartly, the adverse consequence of living with the virus could be minimized. Currently, many states in the United States are seeing spiking cases on a daily basis due to their inadequate policy responses to COVID-19. This paper promotes more research on improving SEIR modeling as it will play a critical role in facilitating the decision-making on promoting and implementing appropriate public health and social interventions. Hopefully, policymakers will listen to science and enact and implement adequate policy responses in combating the COVID-19 pandemic in each of the states across the United States so that we can win this “war” and be well prepared for the promising future.

History

Email Address of Submitting Author

robinqiu@psu.edu

ORCID of Submitting Author

https://orcid.org/0000-0003-4694-1378

Submitting Author's Institution

Penn State

Submitting Author's Country

United States of America

Licence

Exports

Categories

Licence

Exports