Modeling region based regimes for COVID‐19 mitigation: An inverse Gompertz approach to coronavirus infections in the USA, New York, and New Jersey

Author:

Haynes Kingsley E.1ORCID,Kulkarni Rajendra1ORCID

Affiliation:

1. Schar School of Policy and Government George Mason University Arlington VA 22201 USA

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Development,Geography, Planning and Development

Reference20 articles.

1. Adam D.(2020). “Special report: The simulations driving the world's response to COVID‐19: How epidemiologists rushed to model the coronavirus pandemic. How epidemiologists rushed to model the coronavirus pandemic” Nature 04/02/2020. (https://www.nature.com/articles/d41586-020-01003-6) [last visited 06/15/2020]

2. Daunizeau J. Moran R. J. Mattout J. &Friston K.(2020). “On the reliability of model‐based predictions in the context of the current COVID epidemic event: Impact of outbreak peak phase and data paucity” medRxiv Preprint 04/29/. (https://www.medrxiv.org/content/10.1101/2020.04.24.20078485v1) [last visited 06/15/2020]

3. Ferguson N. Laydon D. Nedjati Gilani G. Imai N. Ainslie K. Baguelin M. Bhatia S. Boonyasiri A. &Cucunuba Perez Z. U.(2020). “Report 9: Impact of non‐pharmaceutical interventions (NPIs) to reduce COVID‐19 mortality and healthcare demand” Imperial College COVID‐19 Response Team 03/16/2020. (https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPI-modelling-16-03-2020.pdf) [last visited 06/15/2020]

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