A mathematical model for simulating the phase-based transmissibility of a novel coronavirus.
Tian-Mu Chen, Jia Rui, Qiu-Peng Wang, Ze-Yu Zhao, Jing-An Cui, Ling Yin
February 2020 Infect Dis PovertyAbstract
Background: As reported by the World Health Organization, a novel coronavirus (2019-nCoV) was identified as the causative virus of Wuhan pneumonia of unknown etiology by Chinese authorities on 7 January, 2020. The virus was named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by International Committee on Taxonomy of Viruses on 11 February, 2020. This study aimed to develop a mathematical model for calculating the transmissibility of the virus.
Methods: In this study, we developed a Bats-Hosts-Reservoir-People transmission network model for simulating the potential transmission from the infection source (probably be bats) to the human infection. Since the Bats-Hosts-Reservoir network was hard to explore clearly and public concerns were focusing on the transmission from Huanan Seafood Wholesale Market (reservoir) to people, we simplified the model as Reservoir-People (RP) transmission network model. The next generation matrix approach was adopted to calculate the basic reproduction number (R) from the RP model to assess the transmissibility of the SARS-CoV-2.
Results: The value of R was estimated of 2.30 from reservoir to person and 3.58 from person to person which means that the expected number of secondary infections that result from introducing a single infected individual into an otherwise susceptible population was 3.58.
Conclusions: Our model showed that the transmissibility of SARS-CoV-2 was higher than the Middle East respiratory syndrome in the Middle East countries, similar to severe acute respiratory syndrome, but lower than MERS in the Republic of Korea.
Download full-text PDF |
Link | Source |
|---|---|---|
| Download Source 1 | https://idpjournal.biomedcentral.com/articles/10.1186/s40249-020-00640-3 | Web Search |
| Download Source 2 | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047374 | PMC |
| Download Source 3 | http://dx.doi.org/10.1186/s40249-020-00640-3 | DOI Listing |