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Table 2 Unadjusted and adjusted negative binomial model for estimating DALY per 100 000 population

From: Distribution of and associated factors for dengue burden in the state of Odisha, India during 2010–2016

Variables

Unadjusted

IRR

(95% CI)

Final best fit model

Adjusted

IRR (95% CI)

Sex ratio (Number of females per 1000 males)

0.96(0.93–0.98)*

0.98(0.97–0.99)*

Literacy rate (%)

1.09(1.07–1.11)*

 

Below poverty line (%)

1.04(1.00–1.08)*

 

Population density (per square kilometre)

1.01(1.004–1.02)*

1.02(1.01–1.04)*

Urban areas (%)

0.97(0.89–1.05)

 

Number of industries

1.02(1.01–1.03)*

 

Forest coverage (%)

0.98(0.97–0.99)*

0.98(0.96–0.99)*

Average yearly temperature (in Celsius)

0.69(0.59–0.81)*

0.71(0.57–0.89)*

Average yearly rainfall (in mm)

1.01(0.99–1.04)

 

Average yearly humidity (%)

1.05(1.01–1.08)*

1.05(1.01–1.09)*

Heat indexa

0.48(0.35–0.67)*

 

Year

 2013

Reference

Reference

 2014

1.03(0.61–1.74)

2.25(1.11–4.55)*

 2015

0.38(0.22–0.66)*

1.72(0.75–3.95)

 2016

1.04(0.62–1.76)

2.02(1.04–3.93)*

  1. *Significant at P value < 0.05; IRR Incident rate ratio; CI: Confidence interval
  2. aHeat index was dropped from final model because of collinearity