Literature DB >> 16930653

On the role of cross-immunity and vaccines on the survival of less fit flu-strains.

M Nuño1, G Chowell, X Wang, C Castillo-Chavez.   

Abstract

A pathogen's route to survival involves various mechanisms including its ability to invade (host's susceptibility) and its reproductive success within an invaded host ("infectiousness"). The immunological history of an individual often plays an important role in reducing host susceptibility or it helps the host mount a faster immunological response de facto reducing infectiousness. The cross-immunity generated by prior infections to influenza A strains from the same subtype provide a significant example. The results of this paper are based on the analytical study of a two-strain epidemic model that incorporates host isolation (during primary infection) and cross-immunity to study the role of invasion mediated cross-immunity in a population where a precursor related strain (within the same subtype, i.e. H3N2, H1N1) has already become established. An uncertainty and sensitivity analysis is carried out on the ability of the invading strain to survive for given cross-immunity levels. Our findings indicate that it is possible to support coexistence even in the case when invading strains are "unfit", that is, when the basic reproduction number of the invading strain is less than one. However, such scenarios are possible only in the presence of isolation. That is, appropriate increments in isolation rates and weak cross-immunity can facilitate the survival of less fit strains. The development of "flu" vaccines that minimally enhance herd cross-immunity levels may, by increasing genotype diversity, help facilitate the generation and survival of novel strains.

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Year:  2006        PMID: 16930653     DOI: 10.1016/j.tpb.2006.07.002

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  6 in total

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Authors:  Joanna Pressley; Erika M C D'Agata; Glenn F Webb
Journal:  J Theor Biol       Date:  2010-03-27       Impact factor: 2.691

2.  Phenotypic differences in viral immune escape explained by linking within-host dynamics to host-population immunity.

Authors:  K M Pepin; I Volkov; J R Banavar; C O Wilke; B T Grenfell
Journal:  J Theor Biol       Date:  2010-06-04       Impact factor: 2.691

3.  Factors associated with clinical outcome in 25 patients with avian influenza A (H7N9) infection in Guangzhou, China.

Authors:  Hui Wang; XinCai Xiao; Jianyun Lu; Zongqiu Chen; Kuibiao Li; Hui Liu; Lei Luo; Ming Wang; ZhiCong Yang
Journal:  BMC Infect Dis       Date:  2016-10-03       Impact factor: 3.090

4.  Invasion reproductive numbers for discrete-time models.

Authors:  Omomayowa Olawoyin; Christopher Kribs
Journal:  Infect Dis Model       Date:  2019-04-04

5.  Dynamic of a two-strain COVID-19 model with vaccination.

Authors:  S Y Tchoumi; H Rwezaura; J M Tchuenche
Journal:  Results Phys       Date:  2022-06-30       Impact factor: 4.565

6.  Dynamic interactions of influenza viruses in Hong Kong during 1998-2018.

Authors:  Wan Yang; Eric H Y Lau; Benjamin J Cowling
Journal:  PLoS Comput Biol       Date:  2020-06-15       Impact factor: 4.475

  6 in total

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