| Title |
Modeling the importation and local transmission of vector-borne diseases in Florida: The case of Zika outbreak in 2016
|
|---|---|
| Published in |
Journal of Theoretical Biology, July 2018
|
| DOI | 10.1016/j.jtbi.2018.07.026 |
| Pubmed ID | |
| Authors | |
| Abstract |
Chikungunya, dengue, and Zika viruses are all transmitted by Aedes aegypti and Aedes albopictus mosquito species, had been imported to Florida and caused local outbreaks. We propose a deterministic model to study the importation and local transmission of these mosquito-borne diseases. The purpose is to model and mimic the importation of these viruses to Florida via travelers, local infections in domestic mosquitoes by imported travelers, and finally non-travel related transmissions to local humans by infected local mosquitoes. As a case study, the model will be used to simulate the accumulative Zika cases in Florida. Since the disease system is driven by a continuing input of infections from outside sources, orthodox analytic methods based on the calculation of the basic reproduction number are inadequate to describe and predict their behavior. Via steady-state analysis and sensitivity analysis, effective control and prevention measures for these mosquito-borne diseases are tested. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 16% |
| Researcher | 9 | 14% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 23 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 11% |
| Mathematics | 7 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Arts and Humanities | 4 | 6% |
| Medicine and Dentistry | 4 | 6% |
| Other | 10 | 16% |
| Unknown | 27 | 43% |