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      Connectivity networks reveal the risks of crown-of-thorns starfish outbreaks on the Great Barrier Reef

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      Journal of Applied Ecology
      Wiley-Blackwell

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          LANDSCAPE CONNECTIVITY: A GRAPH-THEORETIC PERSPECTIVE

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            Network theory and SARS: predicting outbreak diversity

            Many infectious diseases spread through populations via the networks formed by physical contacts among individuals. The patterns of these contacts tend to be highly heterogeneous. Traditional “compartmental” modeling in epidemiology, however, assumes that population groups are fully mixed, that is, every individual has an equal chance of spreading the disease to every other. Applications of compartmental models to Severe Acute Respiratory Syndrome (SARS) resulted in estimates of the fundamental quantity called the basic reproductive number R 0 —the number of new cases of SARS resulting from a single initial case—above one, implying that, without public health intervention, most outbreaks should spark large-scale epidemics. Here we compare these predictions to the early epidemiology of SARS. We apply the methods of contact network epidemiology to illustrate that for a single value of R 0 , any two outbreaks, even in the same setting, may have very different epidemiological outcomes. We offer quantitative insight into the heterogeneity of SARS outbreaks worldwide, and illustrate the utility of this approach for assessing public health strategies.
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              A comparison-shopper's guide to connectivity metrics

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                Author and article information

                Journal
                Journal of Applied Ecology
                J Appl Ecol
                Wiley-Blackwell
                00218901
                October 2014
                October 2014
                : 51
                : 5
                : 1188-1196
                Article
                10.1111/1365-2664.12320
                453b0bc7-1662-4dde-8a46-b25f08b040b1
                © 2014

                http://doi.wiley.com/10.1002/tdm_license_1.1

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