Table 1 Summary statistics for demographic and geographic characteristics, climatic factors and diarrhoea seasonal parameters of the 31 provinces in China

From: Exploration of diarrhoea seasonality and its drivers in China

Region

Latitude

Longitude

PGRPa

Temperature (°C)

Humidity (%)

Rainfall (mm)

Peaktb

Peakcc

Peakad

Lowte

Lowcf

Lowag

Amplitudeth

Amplitudeci

Amplitudeaj

Anhui

31.8

117.5

17121.6

17

74

32

30.7

34.8

29.3

4.7

8.8

3.2

1.01

0.76

1.28

Beijing

39.9

116.4

66148.96

13

51

23

30.5

32.2

30.1

4.5

6.2

4.1

1.31

0.78

1.52

Chongqing

29.6

106.6

23416.73

19

78

35

39.3

43.5

31.7

13.3

17.5

5.7

0.39

0.62

0.39

Fujian

25.3

118.8

33568.41

21

70

33

42.5

46

33.2

16.5

20

7.2

0.62

0.98

0.65

Gansu

35.6

104.7

13814.94

9

54

27

32.3

39.2

27.2

6.3

13.2

1.2

0.33

0.39

0.5

Guangdong

22.9

113.4

39037.68

23

72

33

46.3

46.3

45.2

20.3

20.3

19.2

0.76

1.17

0.2

Guangxi

22.9

108.4

16876.84

21

76

35

45.8

46.9

35.3

19.8

20.9

9.3

0.33

0.48

0.08

Guizhou

27.4

106.8

11215.5

15

76

34

34.9

39.5

29.6

8.9

13.5

3.6

0.3

0.44

0.3

Hainan

19.6

110.1

20029.68

24

80

35

41.4

45.1

37.2

15.4

19.4

11.2

0.4

0.5

0.47

Hebei

38.1

115.8

24703.15

14

56

26

33.7

44.3

30.5

7.7

18.3

4.5

0.59

0.57

1.06

Heilongjiang

46.1

126.2

23631.59

6

64

27

33.3

44.3

29.8

7.3

18.3

3.8

0.28

0.19

0.8

Henan

34.7

113.1

20609.16

16

58

28

35.4

40.5

30.1

9.4

14.5

4.1

0.71

0.93

0.94

Hubei

30.9

112.6

23063.65

17

72

33

34

36.7

31.2

8

10.7

5.2

0.67

0.72

0.71

Hunan

27.4

113

20507.28

18

72

33

37.2

40

33.2

11.2

14

7.2

0.39

0.56

0.34

Mongolia

40.8

110.8

38372.48

8

46

21

28.4

35.2

20

2.4

9.2

50

1.68

0.11

2.58

Jiangsu

32.9

118.6

44292.88

16

71

33

31.3

36.3

29

5.3

10.3

3

0.51

0.45

1.05

Jiangxi

28.2

115.3

17904.59

19

69

34

36.9

38.6

30.9

10.9

12.6

4.9

0.56

0.53

0.67

Jilin

44.1

125.4

26497.15

6

61

27

33.2

33.5

32.4

7.2

7.5

6.4

0.58

0.74

0.43

Liaoning

40.7

122.6

35434.71

8

67

27

31.5

40.3

31.4

5.5

27.7

5.4

0.5

0.5

0.55

Ningxia

37.6

106

21880.91

10

51

23

32.2

32.3

30.2

6.2

6.3

4.2

0.71

0.77

0.97

Qinghai

36.6

101.8

20122.19

6

56

24

36.1

37.8

32.4

10.1

11.8

6.4

0.55

0.61

0.65

Shaanxi

34.3

108.8

22477.03

15

63

31

36.2

40.3

30.6

10.2

14.3

4.6

0.53

0.5

1.05

Shandong

36.3

118.4

34993.01

15

56

28

32.1

39.7

29.8

6.1

13.7

3.8

0.71

0.36

1.41

Shanghai

31.3

121.5

67924.76

17

69

31

33.9

42.6

33

7.9

16.6

7

1.22

0.83

1.43

Shanxi

37.8

112.8

22389.53

11

53

25

35.5

44

30.4

9.5

18

4.4

0.48

0.5

1.11

Sichuan

30.2

104

17798.11

16

76

30

33.5

38.7

29.8

7.5

12.7

3.8

0.35

0.35

0.45

Tianjin

39.2

117.2

62335.01

13

58

26

30.9

32.8

30.7

4.9

6.8

4.7

1.41

0.51

1.67

Tibet

29.7

91.1

11502.42

10

34

35

35.2

39

32.2

9.2

13

6.2

1.43

1.64

1.4

Xinjiang

43.8

87.6

21660.51

8

55

25

29.3

30.1

28.4

3.3

4.1

2.4

1.64

1.43

1.92

Yunan

24.8

103

13821.13

16

69

31

17.1

51.9

21.8

34.1

25.9

47.8

0.05

0.19

0.4

Zhejiang

30

120.4

44229.7

18

71

30

35

38.8

32

9

12.8

6

0.98

0.76

1.04

  1. aPer capita gross regional product;
  2. bPeak time in the total population;
  3. cPeak time in children <5 years;
  4. dPeak time in persons > = 5 years;
  5. eTrough time in the total population;
  6. fTrough time in children <5 years;
  7. gTrough time in persons > = 5 years;
  8. hAmplitude in the total population;
  9. iAmplitude in children <5 years;
  10. jAmplitude in persons > = 5 years.