2012
DOI: 10.1371/journal.pcbi.1002723
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Disease Prevention versus Data Privacy: Using Landcover Maps to Inform Spatial Epidemic Models

Abstract: The availability of epidemiological data in the early stages of an outbreak of an infectious disease is vital for modelers to make accurate predictions regarding the likely spread of disease and preferred intervention strategies. However, in some countries, the necessary demographic data are only available at an aggregate scale. We investigated the ability of models of livestock infectious diseases to predict epidemic spread and obtain optimal control policies in the event of imperfect, aggregated data. Taking… Show more

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Cited by 23 publications
(25 citation statements)
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References 26 publications
(44 reference statements)
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“…According, synthetic farm locations and sizes were generated from regional-level data for Turkey and for Bulgaria and Greece. on location of pasture) to refine the simulated farm locations, which may improve the robustness of model predictions (Tildesley and Ryan, 2012). One study reported that, provided the model was carefully parameterised to match epidemic behaviour, it was possible to use random farm locations to identify optimal control measures (Tildesley et al, 2010).…”
Section: Discussionmentioning
confidence: 99%
“…According, synthetic farm locations and sizes were generated from regional-level data for Turkey and for Bulgaria and Greece. on location of pasture) to refine the simulated farm locations, which may improve the robustness of model predictions (Tildesley and Ryan, 2012). One study reported that, provided the model was carefully parameterised to match epidemic behaviour, it was possible to use random farm locations to identify optimal control measures (Tildesley et al, 2010).…”
Section: Discussionmentioning
confidence: 99%
“…For example, poliovirus is infective at pH values of 3.0, while FMDV is labile below pH values of 6.0 (Racaniello, 2013). Additionally, while both, poliovirus and FMDV have been shown to persist longer when the virus was inoculated onto a faecal media, and conditions in TA B L E 1 This table provides references by grouping for current models used for strategic policy development and studies that were either removed from further analysis or included for the full statistical analysis References Group # of Studies (Andel, 2018;DĂłrea, Nöremark, Widgren, & Frössling, 2017;East et al, 2016;Gale et al, 2015;Garner & Beckett, 2005;Harvey et al, 2007;Hayama, Yamamoto, Kobayashi, Muroga, & Tsutsui, 2013;Keeling et al, 2001;SANSON et al, 2011;Stevenson et al, 2013;Tildesley & Ryan, 2012;Traulsen, Rave, Teuffert, & Krieter, 2011) Current Policy Models - (Barlow, 1972;Barlow & Donaldson, 1973;Donaldson, 1972;Donaldson & Ferris, 1975) Removed 4 (Alexandersen et al, 2002;Bedson et al, 1927;BĂžtner & Belsham, 2012;Donaldson et al, 1970;Eisner & McVicar, 1980;Grzitdnov, 1957;Hyslop, 1965;Kindiakov, 1960;McColl et al, 1995;Nauryzbaev, 1966;Olitsky et al, 1928;Pacheco et al, 2017;Rozov, 1966;Sellers & Parker, 1969;Shil'nikov, 1959;Wagener, 1928) Included 16…”
Section: The Influence Of Environmental Factors On Viral Survivalmentioning
confidence: 99%
“…There have been long-standing debates over when and how epidemiological models should be used in disease control. Several publications compared and reviewed the suitability of different modelling strategies (Sanson et al, 2011b;Tildesley and Ryan, 2012;Flood et al, 2013;Halasa et al, 2014;Roche et al, 2015).…”
Section: Modellingmentioning
confidence: 99%