TABLE A3-3Multiple regression analyses predicting average national intelligence using LVE and WEAM (in parentheses where different) by log DALY owing to infectious disease, log distance from EEA, average winter high temperature, average years of education (AVED) and log GDP

Whole model: n = 83 countries, p < 0.0001, R2 = 0.889 (0.796).

termestimates.e.standard betaVIFp
intercept95.7 (95.4)10.9 (13.6)<0.0001
DALY disease−8.30 (−6.50)1.30 (1.61)−0.597 (−0.51)6.03<0.0001 (0.0001)
Distance from EEA5.03 (3.91)0.983 (1.22)0.231 (0.20)1.41<0.0001 (0.0021)
winter high−0.239 (−0.217)0.0686 (0.0853)−0.228 (−0.23)2.970.0008 (0.013)
AVED−0.0279 (0.394)0.322 (0.40)−0.00683 (0.10)4.300.93 (0.33)
GDP0.265 (−0.262)0.854 (2.45)0.0269 (−0.013)5.220.76 (0.92)

From: A3, PARASITE PREVALENCE AND THE WORLDWIDE DISTRIBUTION OF COGNITIVE ABILITY

Cover of The Causes and Impacts of Neglected Tropical and Zoonotic Diseases
The Causes and Impacts of Neglected Tropical and Zoonotic Diseases: Opportunities for Integrated Intervention Strategies.
Institute of Medicine (US) Forum on Microbial Threats.
Washington (DC): National Academies Press (US); 2011.
Copyright © 2011, National Academy of Sciences.

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