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Table 2 Estimated cases, deaths, and QALYs averted and ICERs over the first 5 years of life for the 2017 birth cohort by province for Hib vaccine in the NIP compared with Hib vaccine in the private market

From: National and provincial impact and cost-effectiveness of Haemophilus influenzae type b conjugate vaccine in China: a modeling analysis

Province and region

Status quo

NIP

Difference

ICERs

Total Hib cases

Total Hib deaths

QALYs

Total costs (US$)

Total Hib cases

Total Hib deaths

QALYs

Total costs (US$)

Cases averted

Deaths averted

QALYs gained

Incremental costs (US$)

US$ per case averted

US$ per death averted

US$ per QALY gained

Anhui

10,403

89

25,308,598

29,840,295

848

7

25,311,227

63,029,651

9555

82

2628

33,189,356

3474

405,945

12,628

Beijing

3629

16

6,992,155

11,325,844

307

1

6,992,620

23,483,721

3322

14

465

12,157,878

3660

842,025

26,151

Chongqing

4277

29

9,796,104

15,171,647

416

3

9,796,952

26,931,218

3862

27

848

11,759,571

3045

442,970

13,866

Fujian

7309

52

18,243,953

19,822,321

544

4

18,245,483

52,790,216

6765

48

1531

32,967,895

4873

688,732

21,535

Gansu

7372

138

10,572,870

18,650,750

420

8

10,577,033

27,428,442

6952

130

4163

8,777,692

1263

67,502

2,109

Guangdong

23,318

138

53,512,932

78,609,580

2390

14

53,516,894

145,501,435

20,928

123

3962

66,891,855

3196

542,026

16,881

Guangxi

10,967

99

23,942,820

29,549,022

845

8

23,945,699

70,637,008

10,123

91

2879

41,087,986

4059

450,407

14,269

Guizhou

8440

89

19,096,516

21,529,777

578

6

19,099,082

52,239,222

7862

83

2566

30,709,444

3906

370,831

11,968

Hainan

2165

47

4,153,964

8,673,501

161

4

4,155,318

12,362,132

2004

44

1354

3,688,631

1840

84,335

2725

Hebei

18,251

200

29,499,659

40,852,608

1255

14

29,505,827

71,021,772

16,996

186

6168

30,169,164

1775

161,982

4892

Heilongjiang

4334

31

6,359,528

7,395,149

334

2

6,360,481

18,366,561

4000

29

953

10,971,412

2743

378,325

11,515

Henan

14,483

124

45,111,621

56,142,230

1292

11

45,115,341

113,686,313

13,191

113

3720

57,544,084

4362

508,959

15,469

Hubei

6316

41

20,415,487

26,105,748

658

4

20,416,654

51,335,337

5658

37

1167

25,229,589

4459

681,881

21,623

Hunan

11,281

56

28,368,463

24,041,243

821

4

28,370,122

73,935,365

10,461

52

1660

49,894,122

4770

956,977

30,065

Inner Mongolia

5367

64

6,487,144

10,913,451

323

4

6,489,099

17,991,833

5045

60

1955

7,078,383

1403

117,771

3,620

Jiangsu

13,746

35

25,094,846

18,744,397

841

2

25,095,960

75,413,883

12,904

33

1114

56,669,485

4391

1,709,314

50,853

Jiangxi

8158

160

18,148,883

31,690,026

684

13

18,153,489

45,222,379

7473

146

4606

13,532,353

1811

92,556

2938

Jilin

4495

38

5,115,023

6,981,473

309

3

5,116,189

13,080,444

4186

35

1166

6,098,970

1457

174,082

5231

Liaoning

6451

17

9,158,027

6,996,751

445

1

9,158,562

26,430,504

6006

16

535

19,433,753

3236

1,233,132

36,353

Ningxia

1979

37

2,943,166

4,797,602

114

2

2,944,256

8,165,032

1865

35

1090

3,367,430

1806

96,869

3091

Qinghai

2002

63

2,458,854

7,477,517

113

4

2,460,726

7,028,785

1889

60

1872

− 448,732

Cost-saving

Cost-saving

Cost-saving

Shaanxi

7748

135

13,716,704

22,367,095

489

9

13,720,747

37,958,606

7260

126

4042

15,591,511

2148

123,326

3857

Shandong

15,018

49

47,123,397

41,661,088

1185

4

47,124,958

118,500,002

13,833

46

1561

76,838,914

5555

1,687,784

49,231

Shanghai

1568

7

6,438,987

14,263,336

300

1

6,439,171

18,708,669

1268

6

184

4,445,332

3506

776,871

24,137

Shanxi

7610

115

11,724,642

16,858,840

479

7

11,728,100

29,745,170

7130

107

3458

12,886,331

1807

120,112

3726

Sichuan

12,540

165

26,965,857

49,556,572

1294

17

26,970,457

73,280,239

11,246

148

4600

23,723,667

2110

160,170

5157

Tianjin

1532

11

3,616,534

6,694,387

176

1

3,616,852

10,604,944

1356

10

318

3,910,557

2885

391,035

12,278

Tibet

1794

85

1,764,971

8,508,444

98

5

1,767,356

5,253,368

1695

80

2385

− 3,255,076

Cost-saving

Cost-saving

Cost-saving

Xinjiang

9254

414

12,338,924

42,483,700

506

23

12,350,709

35,655,488

8748

391

11,785

− 6,828,212

Cost-saving

Cost-saving

Cost-saving

Yunnan

14,896

336

19,920,852

49,455,885

1045

24

19,930,438

56,345,008

13,851

312

9586

6,889,123

497

22,055

719

Zhejiang

9079

36

21,204,981

32,599,391

852

3

212,06,047

60,805,003

8228

32

1066

28,205,612

3428

872,003

26,459

East

102,064

608

225,039,435

280,243,205

8455

50

225,057,693

615,622,281

93,609

558

18,258

335,379,076

3583

600,809

18,369

Central

67,079

653

160,552,246

199,055,004

5425

52

160,571,603

408,401,221

61,654

601

19,358

209,346,217

3395

348,048

10,815

West

86,639

1654

150,004,782

280,461,461

6240

110

150,052,554

418,914,249

80,398

1544

47,772

138,452,788

1722

89,674

2898

National

255,781

2915

535,596,462

759,759,670

20,122

212

535,681,850

1,442,937,751

235,659

2704

85,388

683,178,081

2899

252,686

8001

  1. Rows and columns may not sum to the total due to rounding