↓ Skip to main content

Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016

Overview of attention for article published in Theoretical Biology and Medical Modelling, November 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
50 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016
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

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Saint Kitts and Nevis 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
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%
Readers by discipline Count As %
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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 November 2016.
All research outputs
#6,857,170
of 24,996,701 outputs
Outputs from Theoretical Biology and Medical Modelling
#81
of 284 outputs
Outputs of similar age
#96,724
of 319,676 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#2
of 2 outputs
Altmetric has tracked 24,996,701 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 284 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 319,676 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.