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Table 3 Predictor weights of the PLS model explaining the severity of acute diarrhea in children aged below five years in Kunming, southwest China

From: Impact of co-infections with enteric pathogens on children suffering from acute diarrhea in southwest China

Predictor variables

Loads

Weights

Percent

Cross-correlation

Virus richness

0.68

0.66

43.2

0.95

RVA

0.54

0.56

31.4

0.61

NoV GII

0.45

0.43

18.8

0.42

Ad

0.14

0.14

2.0

0.04

B. hominis

0.05

0.09

0.8

0.0

Protozoa richness

0.05

0.09

0.8

0.0

Bacteria richness

0.09

0.08

0.7

0.02

DEC

0.07

0.07

0.5

0.01

NTS

0.06

0.04

0.2

0.01

As

0.11

0.02

0.0

0.02

Cryptosporidium spp.

0.0

0.01

0.0

0.0

SaV

0.05

-0.01

0.0

0.0

  1. Note: Predictor weights represent the contribution of pathogen to the PLS X’s component. Pathogens explaining more than 10 % of the observed PLS X’s block variability are shown in bold type. Cross-correlations represent the correlations between each pathogen and the MNLS per 24 h (diarrhea severity). Virus, protozoa, and bacteria richness signify the maximum number of species from each group detected in a child. Seasons have been defined as two periods: wet (May to October) and dry (November to April)