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Table 4 Household factors associated with An. gambiae counts in zero inflated negative binomial model, Nchelenge, 2012–2014. Univariate and multivariable models includes data from cross-sectional and first visit to longitudinal study households. Presented are results for the negative binomial positive counts (counts >0) as incidence rate ratios (IRR)

From: Spatio-temporal heterogeneity of malaria vectors in northern Zambia: implications for vector control

Negative binomial counts > 0

Univariate

Multivariable

Variable

IRR

95 % CI

IRR

95 % CI

No. of persons sleeping in house

0.902

0.740

1.100

–

–

–

No. of ITNs per house

0.559*

0.349*

0.897*

–

–

–

IRS, ever

0.902

0.440

1.851

1.039

0.444

2.433

Closed eaves

0.217

0.016

2.956

0.102*

0.011*

0.904*

Metal roof

3.197

0.287

35.610

–

–

–

Fire burned previous night

0.810

0.252

2.608

–

–

–

Open well

2.229*

1.078*

4.608*

2.257*

1.068*

4.766*

Rainy season

1.420

0.714

2.824

1.000

0.360

2.776

Within 3 km of Lake Mweru

0.601

0.291

1.243

0.204*

0.072*

0.581*

Interaction: Season by inland/lakeside

0.634

0.145

2.766

3.932*

1.024a

15.096*

  1. *Outcomes indicated with an asterisk are statistically significant