Journal of Environmental and Public Health · 2018 · 109 citations · 25 references
ManagementPreventive MedicineClimate Change AdaptationClimate Change MitigationRisk AssessmentClimate ChangeClimate Impact ModelingClimate Risk AssessmentComparative Mortality AnalysisMortality AnalysisMortality ModelingAutoregressive Distributed Lag ModelsDistributed Lag ModelsExtreme Heat EventsHeat Action PlansHeat Health Action PlansIncidence RateMortality RatesMortality Relationships
Background . Ahmedabad implemented South Asia’s first heat action plan (HAP) after a 2010 heatwave. This study evaluates the HAP’s impact on all-cause mortality in 2014–2015 relative to a 2007–2010 baseline. Methods . We analyzed daily maximum temperature ( T max )-mortality relationships before and after HAP. We estimated rate ratios (RRs) for daily mortality using distributed lag nonlinear models and mortality incidence rates (IRs) for HAP warning days, comparing pre- and post-HAP periods, and calculated incidence rate ratios (IRRs). We estimated the number of deaths avoided after HAP implementation using pre- and post-HAP IRs. Results . The maximum pre-HAP RR was 2.34 (95%CI 1.98–2.76) at 47°C (lag 0), and the maximum post-HAP RR was 1.25 (1.02–1.53) estimated at 47°C (lag 0). Post-to-pre-HAP nonlagged mortality IRR for T max over 40°C was 0.95 (0.73–1.22) and 0.73 (0.29–1.81) for T max over 45°C. An estimated 1,190 (95%CI 162–2,218) average annualized deaths were avoided in the post-HAP period. Conclusion . Extreme heat and HAP warnings after implementation were associated with decreased summertime all-cause mortality rates, with largest declines at highest temperatures. Ahmedabad’s plan can serve as a guide for other cities attempting to increase resilience to extreme heat.
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