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Spatial Epidemiology of the Stony-Coral-Tissue-Loss Disease in Florida
by
Sartor, Constance
, Muller, Erinn M.
, Alcaraz, Nicholas I.
, van Woesik, Robert
in
Bayesian analysis
/ Caribbean
/ Coral reefs
/ Corals
/ Datasets
/ disease etiology
/ Disease hot spots
/ Disease outbreaks
/ Diseases
/ Epidemics
/ Epidemiology
/ Epizootiology
/ Florida reef tract
/ Outbreaks
/ Pathogens
/ Probability theory
/ spatial epidemiology
/ stony-coral-tissue-loss disease
/ Tissue
2020
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Spatial Epidemiology of the Stony-Coral-Tissue-Loss Disease in Florida
by
Sartor, Constance
, Muller, Erinn M.
, Alcaraz, Nicholas I.
, van Woesik, Robert
in
Bayesian analysis
/ Caribbean
/ Coral reefs
/ Corals
/ Datasets
/ disease etiology
/ Disease hot spots
/ Disease outbreaks
/ Diseases
/ Epidemics
/ Epidemiology
/ Epizootiology
/ Florida reef tract
/ Outbreaks
/ Pathogens
/ Probability theory
/ spatial epidemiology
/ stony-coral-tissue-loss disease
/ Tissue
2020
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Spatial Epidemiology of the Stony-Coral-Tissue-Loss Disease in Florida
by
Sartor, Constance
, Muller, Erinn M.
, Alcaraz, Nicholas I.
, van Woesik, Robert
in
Bayesian analysis
/ Caribbean
/ Coral reefs
/ Corals
/ Datasets
/ disease etiology
/ Disease hot spots
/ Disease outbreaks
/ Diseases
/ Epidemics
/ Epidemiology
/ Epizootiology
/ Florida reef tract
/ Outbreaks
/ Pathogens
/ Probability theory
/ spatial epidemiology
/ stony-coral-tissue-loss disease
/ Tissue
2020
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Spatial Epidemiology of the Stony-Coral-Tissue-Loss Disease in Florida
Journal Article
Spatial Epidemiology of the Stony-Coral-Tissue-Loss Disease in Florida
2020
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Overview
The stony-coral-tissue-loss disease has recently caused widespread loss of coral along the Florida reef tract. Yet little is known about where, when, and why this coral disease outbreak occurred. In the absence of a definitive pathogen, it is essential to characterize the ecology of the disease and document the spatio-temporal dynamics of the outbreak. Here, we investigate the epizootiology of the stony-coral-tissue-loss disease at multiple spatial and temporal scales along the Florida reef tract from May 2014 to December 2017. We used spatial interpolation to characterize the disease hotspots, Ripley’s K analysis to examine contagion, a spatio-temporal model to assess rates of spread, and a Bayesian model to examine ecological and environmental covariates that may have influenced the occurrence and severity of the outbreak. Our results show that the disease affected reefs at the scale of hundreds of kilometers, with significant clusters of up to 140 km. The epizootic clearly followed a contagion model, suggesting that the disease was highly contagious. The rate of spread of the epizootic was linear and moved slightly faster to the north (~ 100 m d-1) than to the south (~ 92 m d-1). The difference in rate of spread between the north and south direction may indicate currents facilitated transmission. The analyzed dataset showed that the epizootic affected at least 19 coral species and that deep and diverse sites were at greater risk of the disease than shallow and low diversity sites.
Publisher
Frontiers Research Foundation,Frontiers Media S.A
Subject
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