Combination anti-coronavirus therapies based on nonlinear mathematical models

J A González; Z Akhtar; D Andrews; S Jimenez; L Maldonado; T Oceguera-Becerra; I Rondón; O Sotolongo-Costa

doi:10.1063/5.0026208

Combination anti-coronavirus therapies based on nonlinear mathematical models

Chaos. 2021 Feb;31(2):023136. doi: 10.1063/5.0026208.

Authors

J A González¹, Z Akhtar², D Andrews³, S Jimenez⁴, L Maldonado⁵, T Oceguera-Becerra⁶, I Rondón⁷, O Sotolongo-Costa⁸

Affiliations

¹ Department of Physics, Florida International University, Miami, Florida 33199, USA.
² Department of Biology, College of Arts and Sciences, University of Miami, Coral Gables, Florida 33146, USA.
³ Medical Campus, Miami Dade College, 950 NW 20th Street, Miami, Florida 33127, USA.
⁴ Departamento de Matemática Aplicada a las TT.II, E.T.S.I. Telecomunicación, Universidad Politecnica de Madrid, 28040 Madrid, Spain.
⁵ Department of Biological Sciences, Florida International University, Miami, Florida 33199, USA.
⁶ Department of Physics, University of Guadalajara, Guadalajara, Jalisco C.P. 44430, Mexico.
⁷ School of Computational Sciences, Korea Institute for Advanced Study, Seoul 0245, Republic of Korea.
⁸ Universidad Autónoma del Estado de Morelos, Cuernavaca C.P. 62209, Mexico.

PMID: 33653052
DOI: 10.1063/5.0026208

Abstract

Using nonlinear mathematical models and experimental data from laboratory and clinical studies, we have designed new combination therapies against COVID-19.

MeSH terms

COVID-19* / epidemiology
COVID-19* / therapy
Humans
Models, Biological*
Nonlinear Dynamics*
SARS-CoV-2*