Applying chemical reaction transition theory to predict the latent transmission dynamics of coronavirus outbreak in China
| dc.contributor.author | Xu, Peng | |
| dc.date.accessioned | 2020-03-25T17:52:45Z | |
| dc.date.available | 2020-03-25T17:52:45Z | |
| dc.date.issued | 2020-02-25 | |
| dc.description.abstract | The recent outbreak of the Covid-19 suggests a rather long latent phase that precludes public health officials to predict the pandemic transmission on time. Here we apply mass action laws and chemical transition theory to propose a kinetic model that accounts for viral transmission dynamics at the latent phase. This model is useful for authorities to make early preventions and control measurements that stop the spread of a deadly new virus. | en_US |
| dc.description.sponsorship | Dr. Xu would like to acknowledge the Bill and Melinda Gates Foundation (OPP1188443) for financially supporting this project. | en_US |
| dc.description.uri | https://www.medrxiv.org/content/10.1101/2020.02.22.20026815v1.article-info | en_US |
| dc.format.extent | 15 pages | en_US |
| dc.genre | journal articles preprints | en_US |
| dc.identifier | doi:10.13016/m2sofe-ee6r | |
| dc.identifier.citation | Xu, Peng; Applying chemical reaction transition theory to predict the latent transmission dynamics of coronavirus outbreak in China (2020); https://www.medrxiv.org/content/10.1101/2020.02.22.20026815v1.article-info | en_US |
| dc.identifier.uri | https://doi.org/10.1101/2020.02.22.20026815 | |
| dc.identifier.uri | http://hdl.handle.net/11603/17643 | |
| dc.language.iso | en_US | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Chemical, Biochemical & Environmental Engineering Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.rights | Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nd/4.0/ | * |
| dc.title | Applying chemical reaction transition theory to predict the latent transmission dynamics of coronavirus outbreak in China | en_US |
| dc.type | Text | en_US |