Journal
THEORETICAL BIOLOGY AND MEDICAL MODELLING
Volume 13, Issue -, Pages -Publisher
BMC
DOI: 10.1186/s12976-016-0046-1
Keywords
Prediction; Zika virus; Epidemic; Mathematical model; Basic reproduction number
Categories
Funding
- Japan Agency for Medical Research and Development
- Japan Society for the Promotion of Science (JSPS) KAKENHI Grant [16KT0130, 16 K15356, 26700028]
- Program for Advancing Strategic International Networks
- Japan Science and Technology Agency (JST) CREST program
- RISTEX program for Science of Science, Technology and Innovation Policy
- NSF [1414374]
- UK Biotechnology and Biological Sciences Research Council [BB/M008894/1]
- NSF-IIS RAPID [1518939]
- NSF: Small: Data Management for Real-Time Data Driven Epidemic simulation [1318788 III]
- Division of International Epidemiology and Population Studies, The Fogarty International Center, US National Institutes of Health
- Grants-in-Aid for Scientific Research [15K20936, 16KT0130] Funding Source: KAKEN
- Biotechnology and Biological Sciences Research Council [BB/M008894/1] Funding Source: researchfish
- BBSRC [BB/M008894/1] Funding Source: UKRI
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Background: 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. Methods: 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. Results: 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. Conclusions: The risk of local transmission in the state of Florida is predicted to dramatically decline by the end of 2016.
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