7 research outputs found
Pairwise Spearman correlation plots between outcomes and covariates.
<p>The direction of correlation is indicated by color type (blue: positive; red: negative). The strength of correlation is indicated by color intensity; uncertainty around the estimates is indicated by width of the ovals (wider: more uncertainty). A. Only correlations statistically significant at <i>α</i> = 0.05. B. All correlations. Outcomes: regional growth rate estimated using data from first 15 weeks of epidemic in each region (exponential fit, “<i>ExpGowth</i>”; logistic fit, “<i>LogGrowth</i>”; polynomial fit, “<i>PolyGrowth</i>”); total number of infections reported in each region (“<i>EpidSize</i>”), proportion of whole population infected (“<i>EpidProp</i>”). Socio-economic covariates: wealth index, “<i>Wealth</i>”; average years of education, “<i>Education</i>”; percent of population Christian, “%<i>Christian</i>”; percent of population Muslim, “%<i>Muslim</i>”; percent of population living in urban area, “%<i>Urban</i>”; number of weeks from start of EVD in West Africa to the first recorded case in each region, “<i>StartWeek</i>”; population size, “<i>PopSize</i>”; population density, “<i>PopDensity</i>”; average age, “<i>Age</i>”; percent of population female, “%<i>Female</i>”).</p
Weekly cumulative time series data at the ADM2 subnational level.
<p>Plots for time since first case in each ADM2. A. Guinea; B. Sierra Leone; C. Liberia.</p
Multivariable linear regression model for growth rates from exponential, logistic and polynomial models (6 weeks of data), final epidemic size and final epidemic proportion, adjusting for all predictors selected by step-wise backwards regression using the BIC criterion.
<p>Multivariable linear regression model for growth rates from exponential, logistic and polynomial models (6 weeks of data), final epidemic size and final epidemic proportion, adjusting for all predictors selected by step-wise backwards regression using the BIC criterion.</p
Geographic distribution of covariates across ADM2 units in Guinea, Liberia and Sierra Leone.
<p>A: Mean education in years. B: Proportion of 18-49 year old population female. White regions are those which reported no EVD cases in the study period.</p
Polynomial model fit to the first 6 weeks of cumulative time series data at the subnational level for each country.
<p>Time zero is the date of the first reported EVD case for the whole outbreak in Guinea. A. Guinea; B. Sierra Leone; C. Liberia.</p
Boxplots of dependent and independent variables.
<p>Each plot shows mean, interquartile range and any outlier values; all are measured at the ADM2 subnational level.</p
Additional file 9: Figure S5. of Deep targeted sequencing of 12 breast cancer susceptibility regions in 4611 women across four different ethnicities
MAF distribution for SNVs in the 1000 Genomes Project but not in this study. (DOCX 49 kb