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Table 7 Incidence rate ratio (IRR) stratification model results with sociodemographic variables as effect modifiers

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

 

Models stratified by social factor; IRR (95% CI)

Ethnicity

Sex

Age (years)

Season

Bakiga

Batwa

Male

Female

0–5

6–12

13–18

19–55

55 + 

Season (wet)

Season (dry)

Temperature quartile 1–3

Referent

Referent

Referent

Referent

Referent

Referent

Referent

Referent

Referent

Referent

Referent

Temperature quartile 4

p-value

2.09 (1.49, 2.94)

 < 0.001

0.71 (0.10, 4.81)

0.72

2.07 (1.45, 2.96)

 < 0.001

1.82 (1.25, 2.65)

0.002

2.04 (1.36, 3.06)

0.001

2.07 (1.40, 3.07)

 < 0.001

1.29 (0.84, 1.98)

0.25

1.61 (1.08, 2.40)

0.02

1.01 (0.48, 2.12)

0.99

1.87 (1.34, 2.62)

 < 0.001

0.40 (0.17, 0.96)

0.04

IRR strata1/ IRR strata0

Referent

0.34

Referent

0.88

Referent

1.01

0.63

0.79

0.50

Referent

0.21

  1. Interpretation for ethnicity: the Bakiga weekly malaria hospital admission incidence was 2.09 times greater during weeks in the hottest temperature quartile than in the coolest quartiles, compared to Batwa, who had 0.71 times greater incidence in weeks in the hottest quartile. The ratio of ratios (ROR) for Batwa vs. Bakiga in the hot season only was 0.34, indicating that the indicative ‘effect’ of the hottest quartile on malaria incidence was 0.34 times the rate in the Batwa than Bakiga, or that Bakiga incidence was more sensitive to temperature compared to Batwa incidence
  2. *Bold indicates a p-value of < 0.05, **Stratified model for season does not include season-temperature interaction term