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Table 3 Key predictors of clinical malaria episodes due to P. falciparum and P. vivax 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

  

Base model

molFOB adjusted

 

Base model

molFOB adjusted

 

IR

IRR (CI95)

p

IRR (CI95)

p

IR

IRR (CI95)

p

IRR (CI95)

p

Areas of residence

 Ilahita 1–4, 6, 7

0.05

Reference group

0.06

Reference group

 Balanga & Balif

0.03

0.63 (0.13–3.14)

0.575

0.56 (0.11–2.81)

0.485

0.06

1.15 (0.32–4.06)

0.833

1.08 (0.30–3.91)

0.909

 Kamanokor & Ilahita 5

0.25

4.30 (1.59–11.6)

0.004

3.96 (1.46–10.8)

0.007

0.52

8.01 (3.23–19.9)

< 0.001

3.86 (1.44–10.3)

0.007

 Sunuhu 1&2

0.50

8.15 (3.40–19.6)

< 0.001

6.48 (2.65–15.8)

< 0.001

0.33

3.71 (1.53–8.99)

0.004

2.00 (0.77–5.17)

0.152

  

p < 0.0001a

 

p < 0.0001a

  

p < 0.0001a

 

p < 0.0234a

 

Age

 

1.38 (1.10–1.73)

0.006

1.30 (1.03–1.64)

0.026

     

Haemoglobin

 

0.52 (0.35–0.77)

0.001

0.61 (0.40–0.92)

0.017

 

0.31 (0.19–0.48)

< 0.001

0.38 (0.24–0.59)

< 0.001

FOBb

   

1.10 (1.02–1.18)

0.008

   

1.17 (1.09–1.25)

< 0.001

  1. Multivariate negative binomial regression model-based estimates predicting risk of clinical P. falciparum and P. vivax. Backward selection approach was used to derive significant associations. Base models included all variables except molFOB. Incidence is based on aggregated clinical data for entire 10-month study period thus precluding analysis of recent antimalarial treatment as a covariate. Bednet use was not analysed due to non-converge of data when included into models. aOverall significance level for the variable estimated using wald chi-square test; molFOB: molecular force of blood-stage infections; bmolFOB was included as a rate; IR: Incidence rate; IRR: Incidence rate ratio. CI95 95% confidence interval; p p value