Fig 1.
Framework of co-designing a pilot heat-health warning system involving a multidisciplinary science team and policy makers.
Table 1.
Hourly WBGT (6 am-6 pm) at four HOBO stations in June-October 2017 and 2018 and 57 TWIN stations in June-October 2018; paired t-test was used to compare the mean values during 9 am–noon versus noon–3 pm.
Fig 2.
Spatial distribution of mean measurements between 9 and 11 am of August 11–17, 2018, obtained using inverse-distance-weighting interpolation of (a) WBGT from four HOBO stations, (b) WBGT from four HOBO and 52 TWIN stations, and (c) temperature from four HOBO and 52 TWIN stations. Of the total of 57 TWIN stations, 5 had high percentages of missing data during this period and were thus not included in the maps. Township and urban boundaries were obtained from open data [47] under a CC BY license, with permission from National Land Surveying and Mapping Center, Ministry of the Interior, Taiwan, original copyright 2015.
Table 2.
Summary of health and environment data for heat-health analysis (May to October, 2002–2017).
Table 3.
Risk ratios (RRs) at different WBGT threshold candidates for (a) different lag days for the entire population and (b) different sex and age groups on day 0, with the reference-adjusted risk ratios (RaRRs) associated with the highest threshold candidates of statistical significance.
Fig 3.
Number of days for different WBGT categories in May to October of 2008–2017.
Number of days when WBGT ≥ 36°C are shown on the column top.
Table 4.
Planning of responsive actions by different departments and offices of Taipei City Government [45].