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Table 2 Multivariate predictors of molecularly determined new P. falciparum and P. vivax blood-stage infections in 2013

From: Differential impact of malaria control interventions on P. falciparum and P. vivax infections in young Papua New Guinean children

 

P. falciparum

P. vivax

 

IR

IRR

CI95

p

IR

IRR

CI95

p

Areas of residence

Ilahita 1–4, 6,7

1.09

Reference group

0.65

Reference group

Balanga and Balif

1.25

1.22

0.70–2.12

0.485

0.94

1.46

0.81–2.64

0.213

Kamanokor and Ilahita 5

1.82

1.61

0.92–2.80

0.096

4.83

6.66

4.24–10.5

< 0.001

Sunuhu 1 and 2

3.57

3.10

2.08–4.63

< 0.001

5.37

8.16

5.38–12.4

< 0.001

   

p < 0.0001a

   

p < 0.0001a

 

Age

     

1.26

1.13–1.40

< 0.001

ADI visit interval

Enrolment–week 4

1.23

Reference group

3.20

Reference group

Week 4–week 8

0.85

0.58

0.27–1.23

0.153

2.62

0.71

0.52–0.98

0.035

Week 8–week 12

0.22

0.15

0.06–0.38

< 0.001

1.60

0.44

0.30–0.63

< 0.001

Week 12–week 16

0.77

0.50

0.23–1.09

0.081

2.30

0.59

0.43–0.82

< 0.001

Week 16–week 20

1.23

   

3.20

0.87

0.60–1.25

0.446

Week 20–week 24

2.58

1.99

1.00–3.96

0.049

3.60

   

Week 24–week 28

1.17

0.83

0.43–1.61

0.583

2.20

0.57

0.41–0.79

< 0.001

Week 28–week 32

1.13

0.84

0.43–1.64

0.602

1.98

0.48

0.34–0.69

< 0.001

Week 32–week 36

1.28

0.89

0.49–1.64

0.719

2.46

0.58

0.42–0.80

< 0.001

Week 36–week 40

7.19

5.55

3.33–9.25

< 0.001

2.26

0.56

0.39–0.79

< 0.001

   

p < 0.0001a

   

p < 0.0001a

 

Recent antimalarial useb

8.50

10.4

5.92–18.2

< 0.001

2.79

   

Febrile illness

2.05

   

3.02

   

2 weeks history of febrile illnessc

2.11

   

2.31

   

Haemoglobin

≥ 10 g/dL

1.60

   

2.15

   

9–9.9 g/dL

1.88

   

2.48

   

≤ 9 g/dL

2.06

   

2.87

   
  1. Estimates from a multivariate negative binomial regression with GEE model predicting risk of acquiring new species-specific clones for P. falciparum and P. vivax in a 4-week interval when the child was considered at risk. A backward selection approach was used with the best fitting model consisting of the significant associations. IR incidence rate, IRR incidence rate ratio, CI95 95% confidence interval, p p value, g/dL grams/decilitre, ADI active detection of infections. aOverall significance level for the variable estimated using Wald chi-square test. bAntimalarial treatment within 28 days before the start of the interval. cExcluding febrile illness at the time of visit