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Table 3 Household factors associated with An. funestus counts in zero inflated negative binomial model, Nchelenge, 2012–2014. Univariate and multivariable models include 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

Persons sleeping in the house

1.100

0.910

1.320

–

–

–

ITNs owned per house

1.111

0.680

1.814

–

–

–

IRS, ever

1.057

0.557

2.006

1.073

0.495

2.325

Closed eaves

4.734

0.378

59.215

–

–

–

Metal roof

0.164

0.019

1.436

–

–

–

Fire burned previous night

0.675

0.220

2.073

–

–

–

Rainy season

0.358*

0.204*

0.631*

0.405*

0.198*

0.825*

Open well

0.811

0.449

1.467

–

–

–

Within 3 km of Lake Mweru

1.013

0.553

1.857

0.813

0.367

1.801

Interaction: season and lake distance

0.724

0.209

2.506

–

–

–

  1. *Outcomes indicated with an asterisk are statistically significant