| dc.contributor.author | Ochwach, Jimrise O. | |
| dc.contributor.author | Okongo, Mark O. | |
| dc.contributor.author | Muraya, Moses | |
| dc.date.accessioned | 2022-04-19T20:58:40Z | |
| dc.date.available | 2022-04-19T20:58:40Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | Isutsa, D. K. (Ed.). Proceedings of the 7th International Research Conference held in Chuka University from 3rd to 4th December 2020, Chuka, Kenya, p. 547-554 | en_US |
| dc.identifier.uri | http://repository.chuka.ac.ke/handle/chuka/16214 | |
| dc.description | jimrise09@gmail.com; markokongo@yahoo.com; ,mosesmuraya@gmail.com or moses.muraya@chuka.ac.ke | en_US |
| dc.description.abstract | The basic reproductive number, R 0, is the expected number of secondary infections produced by a single individual
during his or her entire infectious period, in a completely susceptible population. This concept is fundamental to the
study of epidemiology and within-host pathogen dynamics. It is often used as a threshold parameter that can predicts
whether an infection will spread or not. Since the outbreak of 2019 novel corona virus disease (COVID-19) in
Wuhan and other cities of China the growth and spread of this disease is of a growing global concern. Many studies
have been carried out and are continued to be carried to model the spread and subsequent control of the disease. In
this paper, we give a brief overview of common methods of formulating R 0 from deterministic, non-structured
models. Finally, we survey the recent use of R 0 in assessing the spread of novel corona virus | en_US |
| dc.description.sponsorship | Chuka University | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Chuka University | en_US |
| dc.subject | Mathematical Modeling of infectious Diseases | en_US |
| dc.subject | Basic Reproduction ratio | en_US |
| dc.subject | COVID-19 | en_US |
| dc.subject | Pandemic | en_US |
| dc.title | A NOTE ON THE BASIC REPRODUCTION NUMBER: NOVEL CORONA VIRUS (2019-nCOV) | en_US |
| dc.type | Article | en_US |
