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Table 5 Results of baseline model measuring the effect of temperature on malaria with sociodemographic variables as fixed-effects

From: Do socio-demographic factors modify the effect of weather on malaria in Kanungu District, Uganda?

Model variables

Baseline model IRR (95% CI)

p-value

Temperature ‘Cool’ quartiles

Referent

Referent

Temperature ‘Hot’ quartile

1.27 (0.90, 1.80)

0.18

Bakiga

Referent

Referent

Batwa

1.08 (0.76, 1.55)

0.66

Male

Referent

Referent

Female

0.91 (0.84, 0.98)

0.02

0–5 years old

Referent

Referent

6–12 years old

1.64 (1.48, 1.82)

 < 0.001

13–18 years old

1.08 (0.94, 1.24)

0.28

19–55 years old

0.65 (0.59, 0.71)

 < 0.001

55 + years old

0.28 (0.20, 0.39)

 < 0.001

Season (wet)

Referent

Referent

Season (dry)

1.30 (1.01, 1.68)

0.04

  1. *Bold indicates a p-value of < 0.05