‘All In’: A Pragmatic Framework for COVID-19 Testing and Action on a Global Scale

Syril D Pettit, Keith Jerome, David Rouquie, Susan Hester, Leah Wehmas, Bernard Mari, Pascal Barbry, Yasunari Kanda, Mineo Matsumoto and Jason Botten
Additional contact information
Syril D Pettit: Health and Environmental Sciences Institute

No b2xmp, OSF Preprints from Center for Open Science

Abstract: Current demand for SARS-CoV-2 testing is straining material resource and labor capacity around the globe. As a result, the public health and clinical community are hindered in their ability to monitor and contain the spread of COVID-19. Despite broad consensus that more testing is needed, pragmatic guidance towards realizing this objective has been limited. This paper addresses this limitation by proposing a novel and geographically agnostic framework (‘the 4Ps Framework) to guide multidisciplinary, scalable, resource-efficient, and achievable efforts towards enhanced testing capacity. The 4Ps (Prioritize, Propagate, Partition, and Provide) are described in terms of specific opportunities to enhance the volume, diversity, characterization, and implementation of SARS-CoV-2 testing to benefit public health. Coordinated deployment of the strategic and tactical recommendations described in this framework have the potential to rapidly expand available testing capacity, improve public health decision-making in response to the COVID-19 pandemic, and/or to be applied in future emergent disease outbreaks.

Date: 2020-04-29
New Economics Papers: this item is included in nep-hea
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://osf.io/download/5ea970d1e4f081021d078f93/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:b2xmp

DOI: 10.31219/osf.io/b2xmp

Access Statistics for this paper

More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().