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. Author manuscript; available in PMC: 2013 Apr 3.
Published in final edited form as: J Biol Rhythms. 2011 Aug;26(4):345–352. doi: 10.1177/0748730411409708

Table 2.

Relative Contributions of Latitude and GDP to Pandemic Mortality in 1918-1920: Concordance of Murray et al. (2006) and Present Data

Murray et al. Present Data
Model 1: Economic predictor only
    R2 0.473 0.609
    n 27 23
    β ± SE –0.885 ± 0.187 –0.990 ± 0.167
    p value <0.001 <0.001
    t value –4.74 –5.94

Model 2: Absolute value of latitude and economic predictors
    R2 0.482 0.590
    n 27 23
    Economic predictor
        β ± SE –0.967 ± 0.229 –0.979 ± 0.220
        p value <0.001 <0.001
        t value –4.22 –4.46
    Latitude predictor
        β ± SE 0.005 ± 0.008 0.0003 ± 0.004
        p value 0.531 0.936
        t value 0.64 –0.082

Comparisons between single and multiple regression model analyses of relations between latitude, economic variables,a and 1918-1920 mortalityb based on all data in the present report (n = 23 countries) that overlap with published data from Murray et al. (2006). No countries between 23.4°N and 23.4°S latitude are included in these analyses.

a

Murray et al. (2006) data: per-head income derived from (Mitchell, 2003). Present data: gross domestic product (GDP)–purchasing power parity (PPP) derived from Maddison (2007).

b

Murray et al. (2006) analysis: pandemic excess mortality derived from the University of California at Berkeley, Max Planck Institute for Demographic Research, The Human Mortality Database (http://www.mortality.org) and via calculations described in Murray et al. (2006). Present analysis: recalculated pandemic death rate derived from Johnson and Mueller (2002).