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All study isolates were genotyped using a PCR-based method.[14] Digital images of the DNA fingerprints were processed using Gene Profiler 4.05 (Scanalytics, BD Biosciences, USA) and similarity analysis, distance estimation and cluster analysis using UPGMA were performed using Treecon software.
In the analysis, distance to the nearest hospital represents access and economic status is represented by household wealth.
In univariate analysis, distance from the refinery was not associated with any of the video questionnaire responses.
Based on correspondence analysis, distance and allele-sharing trees, we find a good coherence between geographical origin and genetic make-up of the populations.
These values represent the statistical significance of the spatial clustering of values, given the conceptualization of spatial relationships and the scale of analysis (distance parameter).
Phylogenetic relationship studies were based on several methods of analysis (distance, parsimony, and likelihood algorithms) by using MEGA version 3.1 (www.megasoftware.com).com
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Standard BU relies on distances only, even when the data are given in feature space (e.g., in gene-expression analysis): distances are first derived and iterative lineage is performed on them[6].
†Estimate in the subdistrict was not used for the village-level analysis; distance-based variables between the 1- and 10-km neighborhood were estimated around the village point or subdistrict centroid.
For this analysis, distances between the sequences were calculated using Kimura's two-parameter model [ 20- 23].
In this analysis, distances were calculated as leading log-fold-changes between each sample pair.
In this analysis distances to the nearest public and private-for-profit sector hospital are considered because they represent the most important location of institutional delivery (>82%).
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