Literature DB >> 30229426

Modeling the Spread of Zika Virus in a Stage-Structured Population: Effect of Sexual Transmission.

Sourav Kumar Sasmal1, Indrajit Ghosh2, Amit Huppert3,4, Joydev Chattopadhyay2.   

Abstract

The recent Zika virus outbreak has been spreading rapidly all over the world, expanding its traditionally geographical affected regions, making it a global public health hazard and endangering millions of people. One unique property of the Zika virus compared to most vector-borne diseases is the fact that the virus is transmitted both by mosquitoes and by direct sexual contact. In the present manuscript, we formulate and analyze five mathematical compartmental models of Zika transmission. We model both transmission routes (i.e., vector-borne and sexual transmission). In order to make the model more realistic, heterogeneity in the sexual transmission is modeled in several ways. We fitted the five different models to data, inferred the parameters and selected the most appropriated model, which describes the Zika outbreak in Columbia. For all the models, we estimate the reproduction numbers, namely direct (sexual) transmission, vector transmission and the basic reproduction number [Formula: see text]. The analysis revealed that the sexual transmission contribution to [Formula: see text] is highest [15.36% (95% CI 12.83-17.4)] for the model which stratifies each gender to high-risk and low-risk individuals in their sexual behavior. For this model, the estimated [Formula: see text] is 1.89 (95% CI 1.21-2.13), the direct transmission reproduction number is 0.42 (95% CI 0.29-0.64), and the vector transmission reproduction number is 1.51 (95% CI 1.23-1.87). The sensitivity analysis demonstrated that the value of [Formula: see text] depends on three controllable parameters: the biting rate, the sexual transmission rate and the average ratio of mosquito to human.

Entities:  

Keywords:  Basic reproduction number; Direct (sexual) transmission; Parameter inference; Sensitivity analysis; Vector transmission; Zika virus

Mesh:

Year:  2018        PMID: 30229426     DOI: 10.1007/s11538-018-0510-7

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  6 in total

1.  New estimates of the Zika virus epidemic attack rate in Northeastern Brazil from 2015 to 2016: A modelling analysis based on Guillain-Barré Syndrome (GBS) surveillance data.

Authors:  Daihai He; Shi Zhao; Qianying Lin; Salihu S Musa; Lewi Stone
Journal:  PLoS Negl Trop Dis       Date:  2020-04-29

2.  Impact of weather seasonality and sexual transmission on the spread of Zika fever.

Authors:  Attila Dénes; Mahmoud A Ibrahim; Lillian Oluoch; Miklós Tekeli; Tamás Tekeli
Journal:  Sci Rep       Date:  2019-11-19       Impact factor: 4.379

3.  Potent Restriction of Sexual Zika Virus Infection by the Lipid Fraction of Extracellular Vesicles in Semen.

Authors:  Ruofan Wang; Germán G Gornalusse; Yeseul Kim; Urvashi Pandey; Florian Hladik; Lucia Vojtech
Journal:  Front Microbiol       Date:  2020-09-29       Impact factor: 5.640

4.  HSV-2 Infection Enhances Zika Virus Infection of Primary Genital Epithelial Cells Independently of the Known Zika Virus Receptor AXL.

Authors:  Germán G Gornalusse; Mengying Zhang; Ruofan Wang; Emery Rwigamba; Anna C Kirby; Michael Fialkow; Elizabeth Nance; Florian Hladik; Lucia Vojtech
Journal:  Front Microbiol       Date:  2022-01-20       Impact factor: 5.640

5.  Risk of Sexually Transmitted Zika Virus in a Cohort of Economically Disadvantaged Urban Residents.

Authors:  Juan P Aguilar Ticona; Huma Baig; Nivison Nery; Simon Doss-Gollin; Gielson A Sacramento; Haritha Adhikarla; M Catherine Muenker; Elsio A Wunder; Eduardo J M Nascimento; Ernesto T A Marques; Mitermayer G Reis; Albert I Ko; Federico Costa
Journal:  J Infect Dis       Date:  2021-09-01       Impact factor: 5.226

6.  Sexual Transmission of Arboviruses: A Systematic Review.

Authors:  Bradley J Blitvich; Tereza Magalhaes; S Viridiana Laredo-Tiscareño; Brian D Foy
Journal:  Viruses       Date:  2020-08-25       Impact factor: 5.048

  6 in total

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