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Table 2 Results of generalized linear multivariable regression models exploring associations of Plasmodium falciparum and Plasmodium vivax prevalence with climate and environmental covariates

From: Spatial prediction of malaria prevalence in Papua New Guinea: a comparison of Bayesian decision network and multivariate regression modelling approaches for improved accuracy in prevalence prediction

P. falciparum

P. vivax

Variable

Î’ (95% CI)

Variable

Î’ (95% CI)

Enhanced Vegetation Index Jan

− 0.01 (− 0.07 to 0.06)

Enhanced vegetation Index Jan

0.04 (− 0.02 to 0.09)

Distance to the coast

− 0.73 (− 2.73 to 0.77)

Distance to the coast

1.33 (− 0.01 to 2.98)

Tmax Dec to Feb (hottest)

4.77 (− 1.10 to 9.97)

Elevation

− 0.26 (− 0.38 to − 3.04)

Tmax sq

− 0.09 (− 0.19 to 0.02)

Precipitation Jun to Aug (driest)

0.01 (0.01 to 0.02)

Precipitation Jun to Aug (driest)

0.01 (0.01 to 0.03)

Slope

0.12 (0.05 to 0.19)

Proportion of bednet use per village

0.91 (− 0.23 to 2.11)

Proportion of bednet use per village

− 0.45 (− 1.78 to 0.88)

Female

− 0.14 (− 0.37 to 0.09)

Female

− 0.04 (− 0.40 to 0.31)

Wealth quintile 2

0.30 (− 0.15 to 0.75)

Wealth quintile 2

− 0.06 (− 0.39 to 0.50)

Wealth quintile 3

− 0.06 (− 0.57 to 0.45)

Wealth quintile 3

0.16 (− 0.41 to 0.74)

Wealth quintile 4

− 0.36 (− 0.83 to 0.09)

Wealth quintile 4

− 0.24 (− 0.81 to 0.33)

Wealth quintile 5

− 0.89 (− 1.62 to − 0.16)

Wealth quintile 5

− 0.79 (− 1.57 to − 0.15)

Age > 5–18

− 0.33 (− 0.53 to − 0.12)

Age > 5–18

− 0.67 (− 1.10 to − 0.25)

Age > 18+

− 1.27 (− 1.62 to − 0.92)

Age > 18+

− 1.55 (− 2.08 to − 1.02)

Season Mar–May

1.11 (0.33 to 1.88)

  

Season Jun–Aug

0.74 (− 0.11 to 1.59)

  
  1. Covariates highlighted in bold are representative of covariates found to be significantly associated with the outcome variable upon generalised linear modelling