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Table 1 The basic characteristics of included papers

From: Systematic review of the relationship of Helicobacter pylori infection with geographical latitude, average annual temperature and average daily sunshine

Region

Author

Number (n)

Positive rate

Latitude (°)

Temperature (°C)

Sunshine (h)

HDI

Europe

 Israel

Niv

2128

0.328

31.00

9.31

16.45

0.872

 Nottingham

Jackson

2437

0.264

52.56

3.77

9.80

0.768

 Lebanon

Naja

308

0.520

33.45

8.05

20.87

0.761

 Berlin

Berg

1806

0.392

52.30

4.45

8.88

0.801

 Rome

Gasbarrini

655

0.400

41.80

6.77

15.20

0.825

 Leeds

Moayyedi

8429

0.276

53.48

3.36

8.76

0.818

 Magdeburg

Wex

2318

0.444

52.80

4.45

8.75

0.906

 Novosibirsk

Reshetnikov

438

0.884

55.20

6.03

1.73

0.723

 Prague

Bures

1406

0.292

50.05

4.57

7.85

0.867

 Loiano

Bazzoli

1533

0.679

44.16

5.59

8.60

0.803

 Stockholm

Sorberg

3502

0.177

59.19

4.99

6.63

0.855

 Wroclaw

Iwanczak

3307

0.842

51.10

4.10

8.32

0.794

 Tbilisi

Kretsinger

125

0.719

41.70

5.63

13.00

0.690

 Heidelberg

Michel

1797

0.481

49.25

4.49

11.50

0.916

 Bratislava

Kuzela

1838

0.351

48.08

5.58

10.50

0.836

 Tirana

Monno

1088

0.707

41.19

6.97

15.20

0.682

 Reykjavik

Thjodleifsson

447

0.363

64.08

3.48

4.30

0.859

 Uppsala

Thjodleifsson

359

0.112

59.51

4.86

6.50

0.897

 Tartu

Thjodleifsson

240

0.692

58.23

4.59

4.84

0.780

Asia

 Beijing

Zhang

2006

0.833

40.15

7.52

11.80

0.645

 Ankara

Akin

1089

0.774

39.52

6.71

11.71

0.653

 Korea

Yim

13,697

0.586

36.00

5.77

11.82

0.853

 Okinawa

Toyoda

1540

0.599

26.50

5.15

22.42

0.871

 Malaysia

Goh

2381

0.359

4.00

6.11

26.73

0.727

 Islamabad

Rasheed

205

0.819

33.43

8.07

21.34

0.522

 Yangzhong

Zhu

5417

0.634

32.19

5.85

15.10

0.699

 North Sulawesi

Miftahussurur

251

0.143

1.29

6.00

27.72

0.684

 Arak

Afsharipour

525

0.742

34.10

8.09

13.65

0.751

 Nahavand

Alizadeh

1518

0.710

34.11

7.55

10.83

0.735

 Penang

Sasidharan

5370

0.142

5.24

6.75

27.00

0.723

 Tehran

Nouraie

2326

0.690

35.40

8.25

17.00

0.703

 Seoul

Kim

1485

0.649

37.33

5.77

11.82

0.853

 Kota Bharu

Rahim

480

0.190

6.90

6.94

26.73

0.769

 Hsinchu

Chen

3578

0.202

24.81

5.07

22.60

0.882

 Xiangshui

Shi

1371

0.620

34.20

6.57

15.79

0.641

 Korea

Lim

10,796

0.545

36.00

5.77

11.82

0.891

 Beijing

Cheng

1232

0.468

40.15

7.52

11.80

0.812

 Hangzhou

Xu

8820

0.438

30.30

5.42

15.79

0.723

 Hokkaido

Ueda

1428

0.294

43.14

4.94

8.22

0.890

 Aomori

Ueda

782

0.497

40.49

4.64

9.73

0.890

 Yamagata

Ueda

3615

0.545

38.30

4.56

11.19

0.890

 Gunma

Ueda

4914

0.323

36.40

5.42

13.91

0.890

 Aichi

Ueda

2237

0.306

35.10

5.58

15.04

0.890

 Kagawa

Ueda

442

0.378

34.30

5.80

15.35

0.890

America

 America

Everhart

7465

0.325

36.09

7.07

15.06

0.859

 Nashville

Epplein

310

0.787

36.09

6.88

15.06

0.888

 Seattle

Ioannou

6724

0.535

47.38

5.95

11.13

0.859

 Ontario

Naja

1306

0.294

43.40

5.58

7.16

0.896

 Aklavik

Cheung

194

0.660

68.13

3.54

−8.20

0.896

 Nassau

Carter

204

0.578

24.15

7.91

24.85

0.778

 São Paulo

Zaterka

993

0.657

23.33

5.49

19.20

0.720

 Guadeloupe

Weill

854

0.552

16.15

7.60

26.30

0.848

 São Paulo

Oba–Shinjo

942

0.484

23.33

4.75

19.26

0.688

 Recife

Melo

405

0.314

8.30

6.75

25.46

0.683

 Pelotas

Santos

359

0.644

31.46

6.14

17.50

0.709

Africa

 Belgium

Aguemon

446

0.740

6.21

6.44

27.22

0.413

 Tunis

Mansour

250

0.632

36.48

7.69

20.00

0.689

Oceania

 Queensland

Pandeya

1316

0.230

27.30

7.50

21.40

0.904

  1. HDI Human Development Index