Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016.
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.
School of Public Health, Georgia State University, 1 Park Place, Atlanta, GA, USA.
Linh
L
Dinh
School of Public Health, Georgia State University, 1 Park Place, Atlanta, GA, USA.|Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
Gerardo
G
Chowell
Graduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, Sapporo, 060-8638, Japan.|CREST, Japan Science and Technology Agency, 4-1-8, Honcho, Kawaguchi-shi, Saitama, 332-0012, Japan.
Kenji
K
Mizumoto
Graduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, Sapporo, 060-8638, Japan. nishiurah@med.hokudai.ac.jp.|CREST, Japan Science and Technology Agency, 4-1-8, Honcho, Kawaguchi-shi, Saitama, 332-0012, Japan. nishiurah@med.hokudai.ac.jp.
Hiroshi
0000-0003-0941-8537
H
Nishiura
D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D005431:Florida / Q000453:epidemiology; D006801:Humans; D013997:Time Factors; D000071244:Zika Virus / Q000502:physiology*; D000071243:Zika Virus Infection / Q000453:epidemiology* / Q000635:transmission* / Q000821:virology
Basic reproduction number; Epidemic; Mathematical model; Prediction; Zika virus