MOESM1 of Univariate and multivariate spatial models of health facility utilisation for childhood fevers in an area on the coast of Kenya

Additional file 1. Additional file on the determinats of health facility utilisation and detailed kriging methods used for interpolation of covariates

Water-loss reduction program in Vietnam

Water-loss reduction program in Vietna

MOESM1 of Comparing insecticide-treated bed net use to Plasmodium falciparum infection among schoolchildren living near Lake Victoria, Kenya

Additional file 1: Table S1. Univariable analysis of factors associated with malaria infection prevalence

Fuzzy gain scheduled load frequency controller in presence of grid code frequency responsive wind power penetration

Additional file 1. An extended description of methodology on Bayesian modelling

MOESM2 of Using non-exceedance probabilities of policy-relevant malaria prevalence thresholds to identify areas of low transmission in Somalia

Additional file 2. Model outputs per region

Additional file 2: of Co-morbidity of malnutrition with falciparum malaria parasitaemia among children under the aged 6–59 months in Somalia: a geostatistical analysis

Table S1. Univariate and multiple variable regression adjusted odds ratio (AOR) and 95% credible interval (CrI) of the effect of covariates on wasting and low-muac among children aged 6–59 months in Somalia. Values in bold typeface are those that don’t contain the value 1 in their 95% CrI and were considered statistically significant. Fig. S1. Flowchart for FSNAU surveys. This diagram was adopted from the ‘Guidelines for emergency nutrition and mortality surveys in Somalia’. The sample size of acute malnutrition and malaria are computed separately depending on the estimated prevalence and the desired precision but the sampling procedure is the same. Fig. S2. Patterns of stunting among children under the age of five in Somalia. These data were obtained from Food Security and Nutrition Unit (FSNAU) surveys ranging from the year 2007 to 2010. (DOCX 358 kb

Algunos aspectos del mundo funerario maya de los siglos XVI y XVII a través de las crónicas y la cultura material

El mundo funerario refleja muchos de los valores que definen a una cultura. Cuando se trata de un modelo único de tradición autóctona, los cambios en la concepción ideológica y su materialización no suelen ser de gran significación pese a las imposiciones de pueblos vecinos, con los que comparten similares raíces culturales. Sin embargo, cuando es un modelo en el que dos culturas de tradición diametralmente diferentes entran en relación y/o conflicto, los cambios son mucho más drásticos y afectan todas las vertientes de la vida cotidiana. El presente estudio analiza la realidad funeraria rural maya durante los siglos XVI y XVII a partir de las fuentes escritas y los materiales arqueológicos de las excavaciones efectuadas. En muchos casos, a pesar de responder al modelo católico de enterrar, por su localización y disposición del cuerpo, ciertos aspectos retrotraen hacia un pasado y unas raíces que nada tienen que ver con los valores del nuevo orden político. En este sentido, la documentación escrita hace poca o nula mención a este importante aspecto, mientras que en el registro arqueológico de los diferentes modelos estudiados sí se encuentran casos diversos

MOESM4 of Malaria prevalence metrics in low- and middle-income countries: an assessment of precision in nationally-representative surveys

Additional file 4: Table S3. Comparison of absolute bias data for Kenya and Rwanda where the spatial random sample represented 20% (Sample 1), 30% (Sample 2) and 40% (Sample 3) hold out set of the clusters. Absolute bias is the difference between the mean from simple random sampling and that generated after MCMC 50,000 iteration in the different cluster-sample

MOESM5 of Malaria prevalence metrics in low- and middle-income countries: an assessment of precision in nationally-representative surveys

Additional file 5: Figure S1. Convergence diagnostic: Example of trace plots extracted for malaria prevalence survey parameters in the 2010 Senegal DHS for the monitored parameters over the duration of model run