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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 Β (95% CI) Variable Β (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