Preventing COVID-19 Fatalities: State versus Federal Policies
SSRN, ISSN: 1556-5068
2020
- 1Citations
- 2,522Usage
- 9Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Most Recent News
New Study on Preventing COVID-19 Fatalities: State versus Federal Policies.
New data-analysis research quantifies COVID-19 transmissibility and the cost of not enacting the best COVID-19 prevention measures. SANTA CLARA, Calif. , Nov. 12, 2020—Politicians and
Article Description
Are COVID-19 fatalities large when a federal government does not enforce containment policies and instead allow states to implement their own policies? We answer this question by developing a stochastic extension of a SIRD epidemiological model for a country composed of multiple states. Our model allows for interstate mobility. We consider three policies: mask mandates, stay-at-home orders, and interstate travel bans. We fit our model to daily U.S. state-level COVID-19 death counts and exploit our estimates to produce various policy counterfactuals. While the restrictions imposed by some states inhibited a significant number of virus deaths, we find that more than two-thirds of U.S. COVID-19 deaths could have been prevented by late November 2020 had the federal government enforced federal mandates as early as some of the earliest states did. Our results quantify the benefits of early actions by a federal government for the containment of a pandemic.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85110280112&origin=inward; http://dx.doi.org/10.2139/ssrn.3720947; https://www.ssrn.com/abstract=3720947; https://dx.doi.org/10.2139/ssrn.3720947; https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3720947; https://ssrn.com/abstract=3720947
Elsevier BV
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