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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