Mathematical assessment of the impact of non-pharmaceutical interventions on curtailing the 2019 novel Coronavirus.
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| Title: | Mathematical assessment of the impact of non-pharmaceutical interventions on curtailing the 2019 novel Coronavirus. |
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| Authors: | Ngonghala CN; Department of Mathematics, University of Florida, Gainesville, FL 32611, USA., Iboi E; School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, 85287, USA., Eikenberry S; School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, 85287, USA., Scotch M; Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA., MacIntyre CR; Faculty of Medicine, The Kirby Institute, University of New South Wales, Sydney, Australia., Bonds MH; Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02115, USA., Gumel AB; School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, 85287, USA. Electronic address: agumel@asu.edu. |
| Source: | Mathematical biosciences [Math Biosci] 2020 Jul; Vol. 325, pp. 108364. Date of Electronic Publication: 2020 May 01. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: American Elsevier Country of Publication: United States NLM ID: 0103146 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3134 (Electronic) Linking ISSN: 00255564 NLM ISO Abbreviation: Math Biosci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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