Current requirements indicated on the websites for organisations sending volunteers to work in the Ebola outbreak in West Africa.

<p>(The websites for Save the Children and UK-Med also indicate that they are recruiting volunteers, but we could find no indication of their requirements [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0120013#pone.0120013.ref024" target="_blank">24</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0120013#pone.0120013.ref028" target="_blank">28</a>]).</p><p>Current requirements indicated on the websites for organisations sending volunteers to work in the Ebola outbreak in West Africa.</p

Triplot showing the relationships between barriers and explanatory variables for the group of health workers who are considering going to West Africa, but have not volunteered.

<p>Solid blue lines represent barriers; dashed grey lines show explanatory variables. Angles between variables represent their correlations. All the explanatory variables shown have a significant influence on the barriers. RDA 1 and 2 refers to the first two redundancy analysis axes. Circles indicate variables which remained closely correlated across all redundancy analysis axes (equivalent to rotating this figure through different dimensions) that represent significant variation in the dataset (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0120013#pone.0120013.s002" target="_blank">S1 Fig</a>. for plots of the 2^nd and 3^rd redundancy analysis axes). SSA experience = experience working in sub-Saharan Africa; previous experience = previous experience of Ebola; related experience = experience of a related transmissible haemorrhagic fever but not Ebola; professional experience = increasing years of experience since primary healthcare qualification. N = 321 respondents from both versions of the questionnaire. Analyses of the additional barriers added in the 2^nd version were conducted separately, but did not alter the correlations highlighted (data not shown).</p

Demographic information for all the respondents who completed the survey, divided according to the answer to whether they have considered going to West Africa to help in the current Ebola virus epidemic.

<p>Data are numbers (percent).</p><p>Demographic information for all the respondents who completed the survey, divided according to the answer to whether they have considered going to West Africa to help in the current Ebola virus epidemic.</p

Barriers and enablers to going to West Africa to help with the Ebola outbreak for four groups of respondents.

<p>The importance of each issue is indicated on a 5 point Likert scale from strongly disagree to strongly agree, for those who were considering going but had not yet decided (<i>“Considering”</i>); those who had not considered going (<i>“Not Considered”</i>); those who had considered it and decided not to go (<i>“Decided Against”</i>); those who had volunteered and were waiting to go (“<i>Volunteered</i>”), and those who had already been (“<i>Already Been</i>”). Issues marked * were introduced in the second version of the questionnaire from 22^nd October onwards (1450 responses). Data are the percentage of respondents giving the answers indicated; and the rank is indicated showing how important that issue was for that group. The values from which the figure is derived are given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0120013#pone.0120013.s007" target="_blank">S1</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0120013#pone.0120013.s008" target="_blank">S2</a> Tables.</p

Participant characteristics and interview details of patients with HSV encephalitis.

<p>Participant characteristics and interview details of patients with HSV encephalitis.</p

Cerebrospinal fluid myeloperoxidase concentration and cerebrospinal fluid neutrophil count for all cases of encephalitis.

<p>Because at low levels neutrophils are just recorded as present or absent, and at higher levels actual counts are given we looked at CSF MPO concentrations using both these parameters. CSF neutrophil counts were given for 11 patients.</p

Concentrations of mediators in the CSF and serum of patients with encephalitis of immune-mediated, infectious and unknown aetiologies.

<p>Concentrations of mediators in the CSF and serum of patients with encephalitis of immune-mediated, infectious and unknown aetiologies.</p

The heatmaps give a visual representation of how closely concentrations of different mediators correlate in the samples by nearest neighbour correlation.

<p>Using a hierarchical cluster analysis the mediators are listed in the same order for each of the three aetiological groups to allow a visual comparison of the pattern between the groups. In the serum (a) the pattern of mediator correlations is similar for all three aetiological groups, where-as in the cerebrospinal fluid (b) the pattern differed between immune-mediated and infectious aetiologies, and the pattern for those of unknown aetiology is closer to that seen with infection.</p

Serum concentrations of mediators in patients with encephalitis of immune-mediated, infectious and unknown aetiology.

<p>Bars represent median concentration.</p

Multivariable estimate of JE risk ratio for vaccine coverage year, controlling for seasonal periodicity using Poisson regression.

<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 = 317.398, Adjusted Pseudo-R² = 0.278. cos12 and sin12 models annual periodicity; cos6 and sin6 models biannual periodicity. Pseudo- R² 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 _DEV/Intercept only model _DEV) * ((n-1)/(n-k-1))), where n is the sample size and k is the number of explanatory terms.</p