| Title |
Analysis of a Dengue Model with Vertical Transmission and Application to the 2014 Dengue Outbreak in Guangdong Province, China
|
|---|---|
| Published in |
Bulletin of Mathematical Biology, August 2018
|
| DOI | 10.1007/s11538-018-0480-9 |
| Pubmed ID | |
| Authors |
Lan Zou, Jing Chen, Xiaomei Feng, Shigui Ruan |
| Abstract |
There is evidence showing that vertical transmission of dengue virus exists in Aedes mosquitoes. In this paper, we propose a deterministic dengue model with vertical transmission in mosquitoes by including aquatic mosquitoes (eggs, larvae and pupae), adult mosquitoes (susceptible, exposed and infectious) and human hosts (susceptible, exposed, infectious and recovered). We first analyze the existence and stability of disease-free equilibria, calculate the basic reproduction number and discuss the existence of the disease-endemic equilibrium. Then, we study the impact of vertical transmission of the virus in mosquitoes on the spread dynamics of dengue. We also use the model to simulate the reported infected human data from the 2014 dengue outbreak in Guangdong Province, China, carry out sensitivity analysis of the basic reproduction number in terms of the model parameters, and seek for effective control measures for the transmission of dengue virus. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 21% |
| Researcher | 6 | 18% |
| Lecturer | 4 | 12% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Bachelor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 15% |
| Mathematics | 3 | 9% |
| Agricultural and Biological Sciences | 3 | 9% |
| Engineering | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Other | 8 | 24% |
| Unknown | 11 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 May 2019.
All research outputs
#14,422,940
of 23,099,576 outputs
Outputs from Bulletin of Mathematical Biology
#638
of 1,105 outputs
Outputs of similar age
#186,139
of 330,726 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#27
of 48 outputs
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