2019
DOI: 10.1038/s41598-019-46218-4
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Modeling Zika Virus Transmission Dynamics: Parameter Estimates, Disease Characteristics, and Prevention

Abstract: Because of limited data, much remains uncertain about parameters related to transmission dynamics of Zika virus (ZIKV). Estimating a large number of parameters from the limited information in data may not provide useful knowledge about the ZIKV. Here, we developed a method that utilizes a mathematical model of ZIKV dynamics and the complex-step derivative approximation technique to identify parameters that can be estimated from the available data. Applying our method to epidemic data from the ZIKV outbreaks in… Show more

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Cited by 17 publications
(13 citation statements)
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References 38 publications
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“…albopictus contains not only Thursday Island, where the species is established, but its presence is also predicted in Brisbane, Cairns, Darwin, Perth, Rockhampton, Sydney, and Townsville, which corroborate Kraemer et al (2015)'s findings [73]. Kucharski et al (2016) and Rahman et al (2019) used a mathematical model to examine the 2013-14 outbreak in the six major archipelagos of French Polynesia. They found that ZIKV may exhibit similar dynamics to dengue virus with a R 0 ranging from 2.6-4.8 [74], and 2.03-3.20 [75] and that reducing mosquito-to-human contact by at least 60% can reduce the peak prevalence by nearly 10% [75].…”
Section: Plos Neglected Tropical Diseasessupporting
confidence: 77%
See 1 more Smart Citation
“…albopictus contains not only Thursday Island, where the species is established, but its presence is also predicted in Brisbane, Cairns, Darwin, Perth, Rockhampton, Sydney, and Townsville, which corroborate Kraemer et al (2015)'s findings [73]. Kucharski et al (2016) and Rahman et al (2019) used a mathematical model to examine the 2013-14 outbreak in the six major archipelagos of French Polynesia. They found that ZIKV may exhibit similar dynamics to dengue virus with a R 0 ranging from 2.6-4.8 [74], and 2.03-3.20 [75] and that reducing mosquito-to-human contact by at least 60% can reduce the peak prevalence by nearly 10% [75].…”
Section: Plos Neglected Tropical Diseasessupporting
confidence: 77%
“…(2019) used a mathematical model to examine the 2013–14 outbreak in the six major archipelagos of French Polynesia. They found that ZIKV may exhibit similar dynamics to dengue virus with a R 0 ranging from 2.6–4.8 [ 74 ], and 2.03–3.20 [ 75 ] and that reducing mosquito-to-human contact by at least 60% can reduce the peak prevalence by nearly 10% [ 75 ]. In the event of ZIKV introduction into Australia in the period 1996–2015, our study shows that from an imported infected case, the yearly epidemic potential would have been below one for all UCLs studied, though potentially really close to one in Cairns, Rockhampton, and Thursday Island during the warmer months where Ae .…”
Section: Discussionmentioning
confidence: 99%
“…The uncertainty embedded in the large interval can be minimize fixing in the less effective model parameters. This processes was successfully applied in the previous studies [37] and not violated the significance of data fitting. For this purpose we first compute the sensitivity matrix and the most sensitive parameters are presented in the box diagram (see Figure 3).…”
Section: Confidence Interval Of the Model Parametersmentioning
confidence: 92%
“…The confidence interval for the model parameter can be computed using the sensitivity matrix as described in [34] and used by [37]. The sensitivity matrix (J) for the parameters Θ(θ 1 , θ 2 , ..., θ l ) is defined as…”
Section: Confidence Interval Of the Model Parametersmentioning
confidence: 99%
“…Several mathematical models have been used to understand the transmission dynamics of vector borne diseases [30,31,32,33,19,44,34]. Ordinary differential equation (ODE) models dealing with the ZIKV disease have been proposed and extensively analyzed in past years [42,17,28,34,29,41]. In this study, we present a mathematical model of ZIKV incorporating both vector and direct transmission where infected individuals are structured by time-since infection.…”
mentioning
confidence: 99%