Table 4.

Attributable fraction of mortality and annual attributable death counts (with 95% empirical confidence intervals) of cold and hot effects (nonoptimum temperatures) for urban and rural counties in Zhejiang Province, 2009–2015.

Cause-specific mortality and subgroups	Attributable fraction of mortality (%)				Attributable death counts (cases/year)
	Cold effects (temperature below MMT)		Hot effects (temperature above MMT)		Cold effects (temperature below MMT)		Hot effects (temperature above MMT)
	Urban	Rural	Urban	Rural	Urban	Rural	Urban	Rural
All cause	7.0 (3.9, 10.1)	16.4 (14.9, 17.9)	0.8 (0.4, 1.2)	0.9 (0.7, 1.1)	6,741 (3,739; 9,684)	32,801 (29,765; 35,758)	748 (384; 1,151)	1,878 (1,398; 2,197)
Nonaccidental	7.5 (4.1, 10.7)	17.6 (15.9, 19.1)	0.7 (0.2, 1.2)	0.9 (0.7, 1.1)	6,556 (3,598; 9,390)	31,540 (28,494; 34,228)	606 (176; 1,053)	1631 (1,254; 1,971)
Age 0–64	4.7 ($-2.5$, 11.4)	10.6 (6.4, 14.5)	0.1 ($-0.4$, 0.7)	0.1 ($-0.1$, 0.3)	870 ($-461$, 2101)	4,967 (2,990; 6,775)	24 ($-74$, 129)	37 ($-47$, 140)
Age $65+$	10.7 (4.3, 16.3)	19.6 (17.7, 21.1)	0.6 ($-0.1$, 1.2)	1.0 (0.7, 1.2)	7,398 (2,981; 11,301)	33,368 (30,210; 36,014)	416 ($-69$, 832)	1639 (1195, 2048)
Males	10.1 (3.5, 15.8)	16.9 (15.0, 19.0)	0.4 ($-0.2$, 1.0)	0.6 (0.3, 0.8)	4,979 (1,729; 7,804)	20,994 (18,634; 23,603)	212 ($-99$, 494)	683 (373, 994)
Females	7.6 (2.5, 12.3)	18.5 (16.0, 20.8)	0.9 ($-0.2$, 1.8)	1.1 (0.9, 1.4)	2,900 (959; 4,719)	17,257 (14,909; 19,381)	326 ($-77$, 691)	1,062 (839; 1,305)
Cardiopulmonary	9.6 (5.4, 13.1)	22.1 (19.8, 24.1)	1.0 (0.2, 1.8)	1.2 (0.9, 1.4)	4,257 (2,405; 5,834)	21,197 (18,999; 23,125)	450 (89, 802)	1103 (864; 1,343)
Respiratory	8.1 (4.5, 11.5)	22.1 (18.2, 25.8)	0.9 ($-0.3$, 2.2)	1.4 (1.0, 1.8)	1,174 (655; 1,673)	7,160 (5,888; 8,347)	135 ($-44$, 320)	453 (324, 582)
Cardiovascular	11.5 (6.7, 16.0)	20.0 (17.4, 22.4)	0.9 (0.1, 1.6)	1.7 (1.3, 2.2)	3,448 (2,009; 4,797)	12,714 (11,067; 14,247)	255 (30, 480)	1,100 (827; 1,399)