19 research outputs found

    Top 100 human pathogens in Europe, prioritised according to the H-index methodology [6].

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    <p>Pathogens include those which are zoonotic (Z), non-zoonotic (NZ), emerging (E) and not emerging (NE) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103529#pone.0103529-Taylor1" target="_blank">[15]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103529#pone.0103529-Woolhouse1" target="_blank">[16]</a>, or given a new status (NS) in this work. Pathogens also included in the list of top 100 animal pathogens are noted (A). The major pathogens causing diseases included within the 2012 Global Burden of Disease (GBD) report are noted <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103529#pone.0103529-Murray1" target="_blank">[8]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103529#pone.0103529-Vos1" target="_blank">[31]</a>, as are those reportable in the EC (EC) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103529#pone.0103529-Commission1" target="_blank">[9]</a>.</p

    Pyramid diagram showing the prioritisation framework for pathogens leading to the use of the quantitative H-index methodology to estimate relative pathogen impact.

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    <p>Pyramid diagram showing the prioritisation framework for pathogens leading to the use of the quantitative H-index methodology to estimate relative pathogen impact.</p

    Animal species including humans for which pathogens have been studied, including domestic animals we eat or companion animals we keep as pets, and exotic animals also used as food sources or as pets.

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    <p>Animal species including humans for which pathogens have been studied, including domestic animals we eat or companion animals we keep as pets, and exotic animals also used as food sources or as pets.</p

    Top 100 domestic animal pathogens in Europe, prioritised according to the H-index methodology [6] with the same emerging and zoonotic definitions as for Table 2.

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    <p>Pathogens also included in the list of top 100 human pathogens are noted (H). The major pathogens causing diseases included within the OIE list of notifiable terrestrial and aquatic animal diseases (OIE) are noted <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103529#pone.0103529-World1" target="_blank">[10]</a>, as are those included in the DISCONTOOLS project (DISC) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103529#pone.0103529-Anon1" target="_blank">[11]</a>.</p

    Additional file 2: Figure S2. of Modelling hotspots of the two dominant Rift Valley fever vectors (Aedes vexans and Culex poicilipes) in Barkédji, Sénégal

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    Partial residuals plots for covariates in the parsimonious model for Cx. poicilipes; (A) for distance, (B) for maximum temperature, (C) for minimum temperature and (D) for relative humidity. (TIFF 51 kb

    Observed versus predicted JE cases (A) without and (B) with vaccine coverage over the 10-year surveillance period:

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    <p>the vertical grey dotted line represents the introduction of the JE vaccine into the National Immunization program in Sarawak, Malaysia in July 2001. A–Predicted JE cases modelled without vaccine coverage over the 10-year period, minimum temperature at 6-months lag, rainfall at 1-month lag, SOI at 6-months lag and modelled seasonality. B– Predicted JE cases modelled with vaccine coverage throughout the 10-year surveillance period, minimum temperature at 6-months lag, rainfall at 1-month lag, SOI at 6-months lag and modelled seasonality).</p

    Multivariable estimate of the JE risk ratio for vaccine coverage year, different weather variables and Southern Oscillation Index (SOI), controlling for seasonal periodicity using Poisson regression.

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    <p>RR = risk ratio;</p>a<p>Based on Wald chi-square test;</p>b<p>Risk Ratio;</p>c<p>Reference.</p>d<p>β-value.</p><p>Akaike information criterion = 300.196, Adjusted Pseudo-R<sup>2</sup> = 0.377. cos12 and sin12 models annual periodicity; cos6 and sin6 models biannual periodicity. Pseudo- R<sup>2</sup> is based on 1 minus the deviance ratio between the full model vs. the Intercept only model adjusting for the number of explanatory terms in a model (1 – (Full model <sub>DEV</sub>/Intercept only model <sub>DEV</sub>) * ((n-1)/(n-k-1))), where n is the sample size and k is the number of explanatory terms.</p
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