World Health Organization, South-East Asia Regional Office

Vol. 21, Week 48, 2017

Published 04 December 2017

Meetings/ Important events:
Regional Working Group Meeting on Immunization, New Delhi, India, 28-30 January 2018
 Lessons from the Big Six- Closing the Immunity Gap for Measles Elimination and Rubella/ CRS control, New Delhi, India, 31 January-02
February 2018


Table 1: Measles & Rubella Laboratory Supported Case-based Surveillance Performance Indicators by Country, 2017* (data as of 04 December 2017)
Case classification (number)

Pending classification

Epidemiologicallyconfirmed

Reporting
% di s tri cts
ra te of
reporting a t

di s ca rded
Mea s l es
Rubel l a
l ea s t
non2 di s ca rded i nci dence 1 i nci dence 2
mea s l es
nonper
per
non-rubel l a
mea s l es
mi l l i on
mi l l i on
ca s es a t the
n
non-rubel l a
pop
pop n
na tiona l
ca s es per
l evel per

100,000 pop n
100,000 pop n

Laboratory-confirmed

Discarded non-measles nonrubella cases

Rubel l a

Clinically-confirmed

% s erol ogy
res ul ts
reported
w/i n 4 da ys
of
s peci men
recei ved a t
l a bora tory


Mea s l es

Epidemiologicallyconfirmed

Number of
s erum
s peci mens
recei ved i n
l a bora tory

% s erum
s peci mens
recei ved a t
l a bora tory
w/i n 5
da ys of
col l ection

%
s peci mens

tes ted for
s erol ogy
of
s peci mens
recei ved
i n the
l a bora tory

Laboratory-confirmed

%
s us pected
%
ca s es wi th
Number of a dequa te s us pected
s us pected i nves tiga ti ca s es wi th
mea s l es
s erum
on
ca s es

i ni tia ted s peci mens
col l ected
w/i n 48
hours of
notifi ca tion

7 677

92

81

6 210

100

100

62


2 576

912

458

218

34

3 479

0

2.42

75

27.40


1.75

221

84

79

166

59

105

46

14

0


0

2

0

160

45

23.26

65

20.35

2.91

DPR Korea


63

100

100

63

100

100

100

0

0

0


0

0

63

0

0.28

0.00

0.00

3

17 145

0


33

5 507

77

86

55

2 626

6 144

0

705

2 004

2 566

3 100

0.22

7.51

2.32

4 351

38

100

2 982

91

74

22

770

0

0

511

0

406

2 664

0.17

3.31

2.20

Maldives

62

97

100

62

100

100

69

1

0

0

1

0

59

1

18.70

60

3.17

3.17

Myanmar

1 655

40

88

1 450

99

100

94

996

179

71

3

0

377

29

0.79

14

26.25

0.06

Nepal

789

26

89

311

76

214

72

51

26

10

15

0

652

35

2.59

55

3.45

0.59

Sri Lanka

203

98

89

177

90

100

62

1

0

18

1

0

183

0

0.96

23

62.00

0.42

Thailand

2 609

30

90

2 236

57

95

58

1 355

5

393

23

0

747

86

1.25

121

100

99

113

100

74

55

0

0

0

3

0

117

1

10.46

34 896

31

61

19 277

86

93

56

8 390

7 266

950

1 482

2 038

8 809

5 961

0.47

Countries

Bangladesh
Bhutan

India

Indonesia

4

Timor-Leste
SEAR
1

Includes labo rato ry-co nfirmed, epidemio lo gically-linked and clinically-co nfirmed measles cases

2

Includes labo rato ry-co nfirmed and epidemio lo gically-linked rubella cases

4

5

38

A lso includes the cases fro m enhanced measles case-based surveillance.

29.27

0.38

0.00

2.68

9.65

2.04

ND=No data

3 Cases fro m suspected measles o utbreak investigatio n o nly, case based surveillance is gradually exCA nding in the co untry

* Figures in the table 1 are restricted to availability of various dates required for calculation. Thus they may not adequately reflect cases with missing dates for various timelines.

Table 2: Measles & Rubella Laboratory Supported Case-based Surveillance Performance Indicators by Country, 2016* (data as of 04 December 2017)
Case classification (number)

Indonesia

4

Maldives
Myanmar

Pending classification

Discarded non-measles nonrubella cases

Epidemiologicallyconfirmed

India 3

Reporti ng
% di s tri cts
ra te of
reporti ng a t
di s ca rded
Mea s l es
Rubel l a
l ea s t
non2 di s ca rded i nci dence 1 i nci dence 2
mea s l es
nonper
per
non-rubel l a
mea s l es
mi l l i on
mi l l i on
ca s es a t the
non-rubel l a
pop n
pop n
na ti ona l
ca s es per
l evel per
n
100,000 pop
100,000 pop n

Laboratory-confirmed

DPR Korea

Rubel l a

Clinically-confirmed

Bhutan

% s erol ogy
res ul ts
reported
w/i n 4 da ys
of
s peci men
recei ved a t
l a bora tory

Mea s l es

Epidemiologicallyconfirmed

Bangladesh

Number of
s erum
s peci mens
recei ved i n
l a bora tory

% s erum
s peci mens
recei ved a t
l a bora tory
w/i n 5
da ys of
col l ecti on

%
s peci mens
tes ted for
s erol ogy
of
s peci mens
recei ved
i n the
l a bora tory

Laboratory-confirmed

Countries

%
s us pected
%
ca s es wi th
Number of a dequa te s us pected
s us pected i nves ti ga ti ca s es wi th
s erum
on
mea s l es
i ni ti a ted s peci mens
ca s es
col l ected
w/i n 48
hours of
noti fi ca ti on

4 298

94

87

3 732

100

100

92

619

354

96

165

0

3 064

0

1.96

80

6.85

149

63

87

127

59

102

47

10

0

0

0

0

60

79

8.05

55

13.42

0.00

73

100

100

73

100

100

100

0

0

0

0

0

66

7

0.27

0.00

0.00

12.98

7.23

41 593

0

22

9 030

85

83

31

3 646

12 782

0

1 616

7 538

6 997

9 014

0.55

7 999

44

100

4 960

98

86

30

2 824

0

0

1 155

0

2 368

1 652

0.94

11

100

100

11

100

0

0

0

0

0

0

0

11

0

3.22

99

97

194

59

21

10

0

303

0

0

137

102

31

22

0

772

15

11.20

4.58

15

0.00

0.00

0.59

11

5.33

0.19

2.83

56

9.89

0.81

27

62.00

0.42

587

0

86

503

100

1 079

13

82

1

100

Sri Lanka

339

63

86

291

88

100

68

64

0

48

1

0

226

0

1.09

Thailand

1 431

25

87

1 096

61

99

58

695

15

239

7

0

415

60

0.64

122

75

91

111

100

95

63

2

0

11

9

0

100

0

8.25

57 681

15

42

19 935

90

93

46

8 191

13 312

446

2 985

7 538

14 382

10 827

0.77

Nepal

5

Timor-Leste
SEAR
1

Includes labo rato ry-co nfirmed, epidemio lo gically-linked and clinically-co nfirmed measles cases

4

A lso includes the cases fro m enhanced measles case-based surveillance.

2

Includes labo rato ry-co nfirmed and epidemio lo gically-linked rubella cases

5

So me Lab data variables no t available.

3

1.06

46

14.63

0.11

10.73

7.43

11.77

5.64

ND=No data

3 Cases fro m suspected measles o utbreak investigatio n o nly, case based surveillance is gradually exCA nding in the co untry

* Figures in the table 2 are restricted to availability of various dates required for calculation. Thus they may not adequately reflect cases with missing dates for various timelines.

Data Sources: Ministries of Health in SEAR Countries.
Published by Immunization & Vaccine Development, World Health Organization, Regional Office for South-East Asia, New Delhi – 110002, India
Tel: 91-11-2337-0804 / 91-11-4304-0000 Fax: 91-11-2337-0251 / 0106 E-mail: SearEpidata@who.int, URL:

Vol. 21,
Week 48, 2017

Vaccine Preventable Disease Surveillance Bulletin

Page 2

Table 3: Classification of AFP Cases and Key Surveillance Indicators, 2016-2017 (data as of 04 December 2017)
2016 (Onset)

2017 (Onset)

AFP

Surveillance Indicators
1

2

AFP Cases

Compatible

Discarded (Non-polio
AFP)

Total

>90 Days 3

1 437

0

0

2.85

2.85

99

100

1 301

0

0

0

1 209

92

14

2.83

2.63

98

99

0

11

0

0

5.11

5.11

73

100

8

0

0

0

3

5

1

3.51

1.31

88

100

DPR Korea

105

0

0

0

105

0

0

1.83

1.83

98

100

79

0

0

0

48

31

17

1.50

0.91

96

100

Non-Polio AFP Rate

AFP Rate

4

Vaccine Derived
Poliovirus Cases

% with any specimen

% with any specimen

0

0

Pending

% with 2 spec., at least
24 hrs apart, w/in 14
days

Non-Polio AFP Rate

0

0

Wild Poliovirus Cases

AFP Rate

0

11

Bangladesh

Pending

% with 2 spec., at least
24 hrs apart, w/in 14
days

>90 Days 3

1 437

Bhutan

Country

4

Total

Specim en

Discarded (Non-polio
AFP)

1

Compatible

Case Classification

Vaccine Derived
Poliovirus Cases

Specim en

Wild Poliovirus Cases

AFP Rates

Surveillance Indicators
Annualized
AFP Rates 2

AFP Cases

Case Classification

AFP

India

46 500

0

1

15

46 484

0

0

10.60 10.60

87

98

34 984

0

0

9

31 380 3 595 1 238

8.65

7.75

86

98

Indonesia

1 409

0

0

0

1 409

0

0

2.01

86

96

1 236

0

0

1

1 023

1.90

1.58

84

98

2.01

212

97

Maldives

2

0

0

0

2

0

0

2.11

2.11

0

100

5

0

0

0

0

5

4

5.73

0.00

40

100

Myanm ar

466

0

0

0

466

0

0

3.38

3.38

96

100

322

0

0

0

310

12

0

2.59

2.49

97

100

Nepal

455

0

0

0

455

0

0

5.24

5.24

96

100

314

0

0

0

291

23

3

3.92

3.63

98

100

Sri Lanka

65

0

0

0

65

0

0

1.20

1.20

85

98

65

0

0

0

58

7

1

1.30

1.16

86

98

Thailand

246

0

0

0

246

0

0

2.04

2.04

75

98

166

0

0

0

130

36

20

1.56

1.22

66

93

1

2

1

0.70

0.23

33

100

6.90

6.18

86

98

Tim or-Leste
SEAR

10

0

0

0

10

0

0

2.16

2.16

50

80

3

0

0

0

50 706

0

1

15

50 690

0

0

8.38

8.38

87

98

38 483

0

0

10

34 453 4 020 1 396

1

All countries are using the virologic classification scheme.

2

AFP rates per 100,000 children aged 15 years of age or missing age information are excluded).

3

90 days calculation based on date of paralysis onset subtracted from date of last report received from member countries by SEARO.
2016 India: One type 2 VDPV (iVDPV=1)
[a=ambiguous c=circulating i=immunodeficiency]

4

Table 4: Intratypic Differentiation (ITD) of Isolates from AFP Cases, 2016-2017 (data as of 04 December 2017)

0

0

1

3

0

0

1

0

0

19

0

0

0

0

0

0

0

0

0

0

DPR Korea

NPL, Pyongyong

India

0

0

0

0

0

Vaccine
mixture
NPEV by
PCR

7
days

0

BJMC, Ahmedabad

258

0

78

0

25

0

0

74

80

1

0

0

0

0

222

0

78

0

0

0

0

61

76

7

0

0

0

0

NIV, Bengaluru

225

0

56

0

24

0

0

67

70

6

2

0

0

0

149

0

56

0

0

0

0

35

44

14

0

0

0

0

ERC, Mumbai

172

0

53

0

13

0

0

52

43

11

0

0

0

0

147

0

51

0

0

0

0

43

36

17

0

0

0

0

SGPGI, Lucknow

311

0

56

0

53

0

0

86

66

16

34

0

0

0

288

0

59

0

0

0

0

100

62

25

41

0

1

0

KIPM, Chennai

98

0

26

0

17

1

0

26

28

0

0

0

0

0

48

0

9

0

0

0

0

27

12

0

0

0

0

0

NCDC, Delhi

231

0

47

0

38

0

0

91

52

3

0

0

0

0

203

0

57

0

0

0

0

87

51

8

0

0

0

0

IoS, Kolkatta

113

0

26

0

18

0

0

35

33

0

1

0

0

0

167

0

54

0

0

0

0

39

53

17

3

0

1

0

CRI, Kasauli

35

0

5

0

7

0

0

11

12

0

0

0

0

0

21

0

11

0

0

0

0

6

4

0

0

0

0

0

1 443

0

347

0

195

1

0

442

384

37

37

0

0

0

1 245

0

375

0

0

0

0

398

338

88

44

0

2

0

18

0

9

0

3

0

0

1

5

0

0

0

0

0

2

0

0

0

0

0

0

2

0

0

0

0

0

0

India Total
Bio Farma, Bandung
Indonesia

0

Negative

0
1

Results
pending

NEV

0
0

Vaccine

3
0

Wild

0
0

VDPV

8
1

Vaccine

IPH, Dhaka
NIH, Bangkok

Wild

Bangladesh
Bhutan

Vaccine

7
Days days

Intratypic Differentiation results
Polio 1
Polio 2
Polio 3

Wild

Results
pending

AFP cases
referred
for ITD

NEV

Negative

2017

Vaccine
mixture
NPEV by
PCR

Vaccine

Wild

VDPV

Vaccine

Wild

Vaccine

ITD Labs

Wild

Country of
Case

AFP cases
referred
for ITD

2016
Intratypic Differentiation results
Polio 1
Polio 2
Polio 3

NIHRD, Jakarta

12

0

4

0

0

0

0

5

3

0

0

0

0

0

1

0

0

0

0

0

0

0

1

0

0

0

0

0

PHL, Surabaya

13

0

2

0

4

0

0

4

3

0

0

0

0

0

1

0

0

0

0

0

0

1

0

0

0

0

0

0

Indonesia Total

43

0

15

0

7

0

0

10

11

0

0

0

0

0

4

0

0

0

0

0

0

3

1

0

0

0

0

0

Myanm ar

NHL, Yangon

7

0

1

0

1

0

0

2

3

0

0

0

0

0

5

0

1

0

0

0

0

3

1

0

0

0

0

0

Nepal

NIH, Bangkok

6

0

2

0

2

0

0

1

1

0

0

0

0

0

5

0

0

0

0

0

0

3

2

0

0

0

0

0

Sri Lanka

MRI, Colombo

1

0

0

0

0

0

0

1

0

0

0

0

0

0

0

Thailand

NIH, Bangkok

4

0

0

0

0

0

0

2

2

0

0

0

0

0

5

0

2

0

0

0

0

3

0

0

0

0

0

0

1 513

0

368

0

206

1

0

459

404

37

37

1

0

0

1 283

0

386

0

0

0

0

416

347

88

44

0

2

0

TOTAL