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Modeling the Spread of Zika Virus in a Stage-Structured Population: Effect of Sexual Transmission
by
Sasmal, Sourav Kumar
, Chattopadhyay, Joydev
, Ghosh, Indrajit
, Huppert, Amit
in
Biting
/ Disease transmission
/ Mathematical models
/ Mosquitoes
/ Outbreaks
/ Parameters
/ Public health
/ Reproduction (biology)
/ Sensitivity analysis
/ Sexual behavior
/ Sexual transmission
/ Vector-borne diseases
/ Vectors (Biology)
/ Viruses
/ Zika virus
2018
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Modeling the Spread of Zika Virus in a Stage-Structured Population: Effect of Sexual Transmission
by
Sasmal, Sourav Kumar
, Chattopadhyay, Joydev
, Ghosh, Indrajit
, Huppert, Amit
in
Biting
/ Disease transmission
/ Mathematical models
/ Mosquitoes
/ Outbreaks
/ Parameters
/ Public health
/ Reproduction (biology)
/ Sensitivity analysis
/ Sexual behavior
/ Sexual transmission
/ Vector-borne diseases
/ Vectors (Biology)
/ Viruses
/ Zika virus
2018
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Modeling the Spread of Zika Virus in a Stage-Structured Population: Effect of Sexual Transmission
by
Sasmal, Sourav Kumar
, Chattopadhyay, Joydev
, Ghosh, Indrajit
, Huppert, Amit
in
Biting
/ Disease transmission
/ Mathematical models
/ Mosquitoes
/ Outbreaks
/ Parameters
/ Public health
/ Reproduction (biology)
/ Sensitivity analysis
/ Sexual behavior
/ Sexual transmission
/ Vector-borne diseases
/ Vectors (Biology)
/ Viruses
/ Zika virus
2018
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Modeling the Spread of Zika Virus in a Stage-Structured Population: Effect of Sexual Transmission
Journal Article
Modeling the Spread of Zika Virus in a Stage-Structured Population: Effect of Sexual Transmission
2018
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Overview
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 \\[(R_0)\\]. The analysis revealed that the sexual transmission contribution to \\[R_0\\] 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 \\[R_0\\] 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 \\[R_0\\] depends on three controllable parameters: the biting rate, the sexual transmission rate and the average ratio of mosquito to human.
Publisher
Springer Nature B.V
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