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Table 5 Multi-model assessment of factors associated with T. cruzi infection in humans (complete dataset, n = 573) in Area I of Pampa del Indio, Chaco

From: High levels of human infection with Trypanosoma cruzi associated with the domestic density of infected vectors and hosts in a rural area of northeastern Argentina

Top models

df

Variables analyzeda

Model fitb

1-Ethnicity

2-Infected- bug abundance

3-No. of infected cohabitants

4-Gender

5-Age

6-Goat- equivalent index

7-Born after the onset of the intervention programme

logLik

∆AICci

ωi

1

12357

8

×

×

×

×

×

-293.7

0.00

0.23

2

123567

9

×

×

×

×

×

×

-292.9

0.46

0.18

3

2357

7

×

×

×

×

-294.9

0.47

0.18

4

123457

9

×

×

×

×

×

×

-293.4

1.61

0.10

5

23567

8

×

×

×

×

×

-294.5

1.62

0.10

6

23457

8

×

×

×

×

×

-294.7

2.01

0.08

Relative importance

0.59

1.00

1.00

0.31

1.00

0.41

0.99

  1. aVariables (see text for details): Ethnicity, ethnic background of each person (Qom versus Creole or mixed background); relative infected-bug abundance, 3 levels; number of T. cruzi-infected persons each person cohabited with; gender; age (in years); goat-equivalent index per 10 goats; being born after the onset of the intervention programme (2 levels)
  2. b∆AICci = AICci − AICcmin; ωi = exp(−1/2 ∆AICci)/S exp (−1/2 ∆AICci); AICc= Akaike’s information criterion corrected for small samples
  3. Key: ×, variable included in model; –, variable not included in model