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Table 6 Incidence rate ratio (IRR) interaction model results, including sociodemographic variables as effect modifiers

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

 

Interaction model, results by temperature quartile

Quartile 1–3 (cool)

IRR (95% CI)

p-value

Quartile 4 (hot)

IRR (95% CI)

p-value

IRR hot/IRR cool within strata of ethnicity, sex, age, and season

Ratio of Ratios (ROR)

Bakiga

Referent

Referent

Referent

Batwa

0.82 (0.34, 1.99)

0.67

1.63 (0.64, 4.16)

0.31

1.99

Male

Referent

Referent

Referent

Female

1.02 (0.86, 1.22)

0.81

2.02 (1.03, 3.09)

0.001

1.98

0–5 years old

Referent

Referent

Referent

6–12 years old

0.96 (0.74, 1.24)

0.75

1.90 (1.31, 2.74)

0.001

1.98

13–18 years old

0.92 (0.64, 1.33)

0.65

1.82 (1.19, 2.77)

0.01

1.98

19–55 years old

0.96 (0.72, 1.29)

0.78

1.90 (1.32, 2.73)

0.001

1.98

55 + years old

1.43 (0.57, 3.59)

0.44

2.83 (1.05, 7.67)

0.04

1.98

Season (wet)

Referent

Referent

Referent

Season (dry)

0.23 (0.10, 0.51)

 < 0.001

0.45 (0.20, 0.99)

0.047

1.96

  1. Interpretation for ethnicity: the Batwa weekly malaria hospital admission incidence rate was 1.63 times the rate of admission for Bakiga during the lagged hot temperatures. The ratio of ratios for Batwa vs Bakiga in the hot quartile over the cool quartiles was 1.99
  2. *Bold indicates a p-value of < 0.05