| Literature DB >> 32097608 |
Salihu S Musa1, Shi Zhao2, Daozhou Gao3, Qianying Lin4, Gerardo Chowell5, Daihai He6.
Abstract
Lassa fever, also known as Lassa hemorrhagic fever, is a virus that has generated recurrent outbreaks in West Africa. We use mechanistic modelling to study the Lassa fever epidemics in Nigeria from 2016-19. Our model describes the interaction between human and rodent populations with the consideration of quarantine, isolation and hospitalization processes. Our model supports the phenomenon of forward bifurcation where the stability between disease-free equilibrium and endemic equilibrium exchanges. Moreover, our model captures well the incidence curves from surveillance data. In particular, our model is able to reconstruct the periodic rodent and human forces of infection. Furthermore, we suggest that the three major epidemics from 2016-19 can be modelled by properly characterizing the rodent (or human) force of infection while the estimated human force of infection also present similar patterns across outbreaks. Our results suggest that the initial susceptibility likely increased across the three outbreaks from 2016-19. Our results highlight the similarity of the transmission dynamics driving three major Lassa fever outbreaks in the endemic areas.Entities:
Keywords: Data fitting; Lassa fever; Mechanistic modelling; Stability analysis
Mesh:
Year: 2020 PMID: 32097608 DOI: 10.1016/j.jtbi.2020.110209
Source DB: PubMed Journal: J Theor Biol ISSN: 0022-5193 Impact factor: 2.691