Table 2.

Hospitalizations (with 95% empirical confidence intervals) attributable to heat exposure over lag 0–7 days in the 1,814 Brazilian cities during 2000–2015 hot seasons by region, sex and age.

	Attributable cases	Attributable fraction (%)	Annual attributable rate (per 100,000 population)
			Crude	Age-standardized
National	3,070,360 (1,600,393, 4,468,577)	6.2 (3.3, 9.1)	132 (69, 192)	132 (54, 205)
Region
North	64,315 (6,738, 118,833)	5.1 (0.5, 9.3)	102 (11, 188)	124 ($-82$, 307)
Northeast	867,155 (269,494, 1,434,051)	6.3 (1.9, 10.4)	135 (42, 223)	146 (51, 235)
Central West	316,024 (138,043, 481,681)	8.2 (3.6, 12.5)	182 (80, 278)	180 (43, 305)
Southeast	1,313,757 (841,652, 1,765,259)	6.0 (3.8, 8.0)	120 (77, 162)	117 (62, 169)
South	496,648 (384,860, 605,893)	6.1 (4.7, 7.5)	140 (108, 170)	123 (55, 189)
Sex
Men	1,381,501 (725,616, 2,004,986)	6.8 (3.6, 9.9)	120 (63, 175)	121 (35, 200)
Women	1,682,369 (857,792, 2,468,353)	5.8 (3.0, 8.5)	143 (73, 209)	141 (52, 225)
Age (years)
0–4	686,394 (368,162, 972,421)	12.6 (6.7, 17.8)	393 (211, 556)	—
5–9	180,592 (76,158, 274,766)	10.7 (4.5, 16.2)	98 (41, 149)	—
10–19	385,259 (281,882, 485,903)	7.5 (5.5, 9.5)	92 (67, 116)	—
20–29	600,819 (199,159, 982,670)	6.2 (2.1, 10.2)	143 (47, 233)	—
30–39	436,899 (187,161, 675,904)	6.4 (2.7, 9.9)	119 (51, 185)	—
40–49	265,505 (84,602, 437,748)	4.9 (1.6, 8.1)	88 (28, 145)	—
50–59	154,272 (19,231, 284,036)	3.1 (0.4, 5.8)	71 (9, 130)	—
60–69	47,951 ($-\mathrm{50,214}$, 142,711)	1.2 ($-1.3$, 3.6)	90 ($-27$, 201)	—
70–79	45,603 ($-\mathrm{43,252}$, 130,920)	1.4 ($-1.3$, 4.0)	90 ($-27$, 201)	—
$\ge 80$	122,564 (28,364, 210,802)	5.7 (1.3, 9.8)	90 ($-27$, 201)	—

Note: Heat exposure for calculating attributable burden was defined as the increase in daily mean temperature during 2000–2015 hot seasons (the hottest four consecutive months for each city), compared with the minimum daily mean temperature. The best linear unbiased prediction of the cumulative association in each city was used to calculate the attributable burden.