Title |
Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016
|
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Published in |
Theoretical Biology and Medical Modelling, November 2016
|
DOI | 10.1186/s12976-016-0046-1 |
Pubmed ID | |
Authors |
Linh Dinh, Gerardo Chowell, Kenji Mizumoto, Hiroshi Nishiura |
Abstract |
Florida State has reported autochthonous transmission of Zika virus since late July 2016. Here we assessed the transmissibility associated with the outbreak and generated a short-term forecast. Time-dependent dynamics of imported cases reported in the state of Florida was approximated by a logistic growth equation. We estimated the reproduction number using the renewal equation in order to predict the incidence of local cases arising from both local and imported primary cases. Using a bootstrap method together with the logistic and renewal equations, a short-term forecast of local and imported cases was carried out. The reproduction number was estimated at 0.16 (95 % Confidence Interval: 0.13, 0.19). Employing the logistic equation to capture a drastic decline in the number of imported cases expected through the course of 2016, together with the low estimate of the local reproduction number in Florida, the expected number of local reported cases was demonstrated to show an evident declining trend for the remainder of 2016. The risk of local transmission in the state of Florida is predicted to dramatically decline by the end of 2016. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 6 | 75% |
United Kingdom | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 4 | 50% |
Members of the public | 4 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 2% |
Saint Kitts and Nevis | 1 | 2% |
Unknown | 48 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 10 | 20% |
Student > Bachelor | 7 | 14% |
Student > Ph. D. Student | 6 | 12% |
Student > Master | 6 | 12% |
Student > Doctoral Student | 4 | 8% |
Other | 13 | 26% |
Unknown | 4 | 8% |
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Medicine and Dentistry | 9 | 18% |
Agricultural and Biological Sciences | 6 | 12% |
Social Sciences | 6 | 12% |
Mathematics | 5 | 10% |
Nursing and Health Professions | 4 | 8% |
Other | 15 | 30% |
Unknown | 5 | 10% |