12916_2019_1456_MOESM1_ESM.xls (38 kB)
MOESM1 of Differential impact of malaria control interventions on P. falciparum and P. vivax infections in young Papua New Guinean children
dataset
posted on 2019-12-09, 04:19 authored by Maria Ome-Kaius, Johanna Kattenberg, Sophie Zaloumis, Matthew Siba, Benson Kiniboro, Shadrach Jally, Zahra Razook, Daisy Mantila, Desmond Sui, Jason Ginny, Anna Rosanas-Urgell, Stephan Karl, Thomas Obadia, Alyssa Barry, Stephen Rogerson, Moses Laman, Daniel Tisch, Ingrid Felger, James Kazura, Ivo Mueller, Leanne RobinsonAdditional file 1: Table S1. Bivariate associations between risk factors and the prevalence, molFOB and clinical incidence. Estimates of bivariate associations calculated via generalised estimating equation (GEE) models for prevalence and molecular force of blood-stage (molFOB) infections and negative binomial regression model used for clinical malaria episodes. Recent antimalarial use was not tested in the model for clinical malaria episodes due to aggregated clinical data. aAge in years at enrolment was used for clinical malaria incidence while at the start of interval was used for molFOB. bComparison group; For multilevel variables, comparison group estimates are presented as odds or incidence rate. PCR: Polymerase chain reaction assay; LM: light microscopy; OR: odds ratio; CI95: 95% confidence interval; IRR: incidence rate ratio.
