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Table 1 Characteristics of the 30 study counties

From: The temporal lagged association between meteorological factors and malaria in 30 counties in south-west China: a multilevel distributed lag non-linear analysis

County

Cases

Annualized average incidences (/100000)

Minimum temperature☆ (°C)

Maximum temperature☆ (°C)

Rain☆☆ (mm)

Relative humidity☆ (%)

Group

Ruili

3,442

348.204

17.1 (12.4, 21.8)

27.9 (25.3, 30.5)

26.53 (0, 43.03)

73.0 (67, 80)

Hot

Tengchong

9,255

246.049

16.1 (11.2, 21.1)

26.8 (23.3, 30.5)

17.80 (1, 24.7)

65.0 (54, 77)

Hot

Gongshan

300

136.897

2.5 (-3.1, 8.8)

13.4 (8.8, 18.5)

12.29 (2, 17.63)

69.6 (61, 80)

Cold

Fugong

455

80.657

7.5 (1.3, 14)

19.9 (15.8, 24.2)

16.59 (2, 27.85)

67.6 (58, 78)

Cold

Mengla

1,203

79.980

18.1 (14.1, 22.1)

29.4 (27.4, 32)

28.02 (0, 41.83)

80.6 (77, 85)

Hot

Cangyuan

859

65.931

14.9 (9.8, 20.1)

27.2 (24.7, 29.8)

23.63 (0, 37.93)

72.4 (65, 81)

Hot

Menglian

735

55.274

15.4 (10.7, 20.3)

27.6 (25.4, 30)

32.56 (0, 51.6)

75.3 (70, 82)

Hot

Jinping

966

47.375

13.8 (10.1, 18.1)

21.1 (17.4, 25.6)

28.95 (2.25, 40.35)

84.8 (81, 91)

Hot

Longyang

1,976

37.041

11.8 (6.2, 17.6)

23.1 (19.9, 26.4)

17.94 (0.08, 27.23)

73.1 (66, 81)

Cold

Congjiang

688

34.928

15.9 (9.8, 22.6)

24.5 (17.9, 32.1)

22.03 (0.7, 33.8)

78.6 (73, 84)

Hot

Jiangcheng

142

22.283

15.6 (11.7, 19.8)

25.5 (23.1, 28.6)

41.89 (0.38, 69.28)

79.2 (76, 84)

Hot

Menghai

420

21.036

18.4 (14.5, 22.5)

30.2 (27.9, 32.8)

23.17 (0, 38.63)

77.4 (72, 84)

Hot

Weixi

174

18.725

1.7 (-4.9, 9.4)

14.1 (10, 18.5)

11.76 (0, 17.93)

65.9 (58, 74)

Cold

Shuangjiang

113

10.580

13.7 (9, 18.7)

25.0 (22.7, 27.7)

21.22 (0.08, 32.63)

67.6 (59, 77)

Hot

Simao

119

8.132

15.4 (11.5, 19.4)

25.5 (23.2, 28.2)

27.18 (0, 43.8)

75.9 (71, 83)

Hot

Mojiang

173

7.565

19.5 (15.1, 24)

31.1 (27.5, 35.2)

15.40 (0, 21.4)

66.6 (59, 75)

Hot

Jingdong

166

7.382

14.3 (9.3, 19.8)

26.7 (23.7, 30.2)

22.21 (0.38, 31.23)

74.7 (70, 82)

Hot

Dechang

86

7.335

12.9 (8.1, 17.9)

24.3 (19.9, 29.1)

18.39 (0, 28.1)

59.3 (50, 71)

Cold

Gejiu

156

5.535

16.1 (12.3, 20.1)

24.8 (21.8, 28.6)

15.90 (0, 21.18)

68.3 (63, 75)

Hot

Dushan

102

4.984

12.7 (6.7, 19.3)

20.0 (14.4, 26.7)

23.94 (1.5, 32.68)

79.4 (73, 88)

Cold

Changshun

53

3.598

13.0 (7.3, 19.1)

21.2 (15.3, 28.1)

22.30 (1.48, 29.1)

77.5 (72, 84)

Cold

Liping

75

2.522

13.1 (6.2, 20.5)

21.0 (14.2, 28.8)

23.68 (1.9, 33.33)

81.3 (74, 90)

Cold

Wenshan

64

2.325

12.8 (8.8, 17.5)

22.4 (19.5, 26.7)

17.64 (0.5, 26.03)

78.3 (74, 85)

Cold

Wangmo

29

1.609

16.5 (11.5, 22)

25.6 (20.5, 32)

22.43 (0.5, 26.43)

73.2 (67, 80)

Hot

Guangnan

74

1.575

13.6 (8.6, 18.8)

23.5 (19.7, 28.6)

16.98 (0.5, 23.8)

76.8 (72, 84)

Cold

Weishan

28

1.482

11.1 (6.2, 15.9)

21.6 (18.3, 25.3)

20.37 (0, 33.28)

66.2 (55, 78)

Cold

Nanhua

19

1.318

12.0 (7, 16.9)

22.4 (19.1, 26)

15.66 (0, 24.08)

68.2 (59, 80)

Cold

Weng’an

32

1.263

12.9 (6.6, 19.6)

20.2 (13, 28.2)

19.65 (2.6, 27.85)

77.1 (71, 85)

Cold

Eshan

11

1.156

11.8 (7.3, 16.7)

22.6 (19.6, 26.3)

16.23 (0, 23.63)

72.6 (67, 81)

Cold

Huili

29

1.089

10.6 (4.9, 16.7)

22.6 (18.8, 26.6)

21.53 (0, 27.95)

68.0 (60, 77)

Cold

  1. ☆: weekly mean, and the two values in the parenthesis are 25% and 75% percentiles, respectively.
  2. ☆☆: weekly total, and the two values in the parenthesis are 25% and 75% percentiles, respectively.