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. Author manuscript; available in PMC: 2017 Jun 1.
Published in final edited form as: Clim Change. 2016 Mar 7;136(3):631–645. doi: 10.1007/s10584-016-1638-9

Figure 2.

Figure 2

Percent increases and 95% confidence intervals for admission to the hospital for renal, heat or respiratory causes among individuals aged 65 years and older for the six-day cumulative effects of extreme heat (EH, temperature > 97th percentile) vs. non-heat (temperature < 90th percentile) among individuals with (high) or without (low) the characteristic (individual level) or among individuals residing in ZIP codes in the 75th percentile (high) or 25th percentile (low) of the characteristic (ZIP-code level), holding the other characteristics at the study-wide median values, by quartiles of citywide air conditioning prevalence (ACP), May–September, 1992–2006. (See Table S2 for corresponding values.)