World Health Organization, South-East Asia Regional Office

Vol. 21, Week 44, 2017

Published 06 November 2017

Meetings/ Important events:
 Tenth Meeting of the South-East Asia Regional Commission for the Certification of Polio Eradication (SEA-RCCPE), Naypitaw, Myanmar,
23-24 November 2017

Table 1: Measles & Rubella Laboratory Supported Case-based Surveillance Performance Indicators by Country, 2017* (data as of 06 November 2017)
Case classification (number)

Pending classification

Epidemiologicallyconfirmed

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
n
non-rubel l a
pop
pop n
na ti ona 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 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

%
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
on
mea s l es
s erum
i ni ti a ted s peci mens
ca s es
w/i n 48

col l ected
hours of
noti fi ca ti on

7 418

92

80

5 971

99

100

60

2 491


906

444

209

34

3 334

0

2.53

73

29.10

1.84


221

84

79

166

59

105

46

14

0

0


2

0

160

45

25.38

65

22.20

3.17

DPR Korea

63


100

100

63

100

100

100

0

0

0

0


0

63

0

0.30

0.00

0.00

3

16 200

0

33


5 106

80

85

57

2 326

6 158

0

696

2 004

2 482

2 534

0.23

5

7.92

2.52

4.53

2.60

Countries

Bangladesh
Bhutan

India

4

4 793

38

100

3 531

92

73

27

967

0

0

554

0

497

2 775

0.23

Maldives

62

97

100

62

100

100

69

1

0

0

1

0

59

1

20.40

60

3.46

3.46

Myanmar

1 645

40

88

1 443

99

100

94

994

179

70

3

0

374

25

0.86

14

28.57

0.07

Nepal

713

26

89

232

74

257

84

51

26

21

14

0

571

23

2.47

51

4.24

0.61

Sri Lanka

203

98

89

177

90

100

62

1

0

18

1

0

183

0

1.05

23

62.00

0.42

Thailand

2 381

31

91

2 080

56

96

60

1 281

4

296

23

0

695

82

1.27

28.80

0.42

98

100

99

97

100

87

64

0

0

0

3

0

82

13

8.00

33 797

32

62

18 928

87

92

56

8 126

7 273

849

1 506

2 038

8 500

5 498

0.46

Indonesia

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

31

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

0.00

2.93

10.30

2.25

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 06 November 2017)
Case classification (number)

India 3
4

Pending classification

Discarded non-measles nonrubella cases

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
n
non-rubel l a
pop
pop
na tiona l
ca s es per
l evel per
n
100,000 pop
100,000 pop n

4 298

94

87

3 732

100

100

92

619

354

96

165

0

3 064

0

1.96

80

6.85

1.06

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

41 617

0

22

9 037

86

83

31

3 646

12 803

0

1 617

7 539

6 998

9 014

0.55

3

13.00

7.24

10.73

4.50

Epidemiologicallyconfirmed

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 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

Countries

%
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
on
s erum
mea s l es
i ni tia ted s peci mens
ca s es
w/i n 48
col l ected
hours of
notifi ca tion

8 107

44

100

5 871

98

74

32

2 705

0

0

1 135

0

2 361

1 906

0.94

Maldives

11

100

100

11

100

0

0

0

0

0

0

0

11

0

3.22

15

0.00

0.00

Myanmar

587

0

86

503

100

99

97

194

59

21

10

0

303

0

0.59

11

5.33

0.19

Indonesia

5

1 079

13

82

1

100

0

137

102

31

22

0

772

15

2.83

56

9.89

0.81

Sri Lanka

339

63

86

291

88

100

68

64

0

48

1

0

226

0

1.09

27

62.00

0.42

Thailand

1 431

25

87

1 096

61

99

58

695

15

239

7

0

415

60

0.64

14.63

0.11

122

75

91

111

100

95

63

2

0

11

9

0

100

0

8.25

46

10.73

7.43

57 813

15

42

20 853

91

89

46

8 072

13 333

446

2 966

7 539

14 376

11 081

0.77

11.72

5.63

Nepal

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.

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 44, 2017

Vaccine Preventable Disease Surveillance Bulletin

Page 2

Table 3: Classification of AFP Cases and Key Surveillance Indicators, 2016-2017 (data as of 06 November 2017)
2016 (Onset)

2017 (Onset)

AFP

Surveillance Indicators

Discarded (Non-polio
AFP)

Total

>90 Days 3

AFP Rate

Non-Polio AFP Rate

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

0

2.85

2.85

99

100

1 216

0

0

0

1 130

86

12

2.88

2.68

98

99

0

0

5.11

5.11

73

100

7

0

0

0

3

4

1

3.35

1.43

86

100

48

31

17

100

4

Vaccine Derived
Poliovirus Cases

Non-Polio AFP Rate

AFP Rate

>90 Days 3

Total

Vaccine Derived
Poliovirus Cases

Pending

105

0

0

0

105

0

0

1.83

1.83

98

100

79

0

0

0

46 500

0

1

15

46 484

0

0

10.60 10.60

87

98

32 010

0

0

6

Indonesia

1 409

0

0

0

1 409

0

0

2.01

2.01

86

96

1 018

0

0

0

826

192

Maldives

2

0

0

0

2

0

0

2.11

2.11

0

100

4

0

0

0

0

Myanm ar

466

0

0

0

466

0

0

3.38

3.38

96

100

300

0

0

0

Nepal

455

0

0

0

455

0

0

5.24

5.24

96

100

294

0

0

0

Sri Lanka

65

0

0

0

65

0

0

1.20

1.20

85

98

60

0

0

Thailand

246

0

0

0

246

0

0

2.04

2.04

75

98

158

0

Tim or-Leste

10

0

0

0

10

0

0

1.87

1.87

50

80

1

50 706

0

1

15

50 690

0

0

8.38

8.38

87

98

35 147

1.63

0.99

96

8.63

7.74

86

98

109

1.71

1.39

83

98

4

4

5.00

0.00

50

100

273

27

1

2.63

2.39

97

100

279

15

3

4.00

3.80

98

100

0

52

8

1

1.31

1.13

87

100

0

0

127

31

15

1.62

1.30

70

94

0

0

0

0

1

0

0.22

0.00

0

100

0

0

6

6.87

6.15

87

98

28 697 3 307 1 107

31 435 3 706 1 270

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

% with any specimen

Compatible

0

11

Wild Poliovirus Cases

1 437

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

0
0

4

0
0

Wild Poliovirus Cases
0
0

Pending

India

SEAR

Specim en

AFP Cases

1

% with any specimen

Case Classification

Discarded (Non-polio
AFP)

DPR Korea

Specim en

11

AFP Cases
Bangladesh

2

AFP Rates

1 437

Country

Bhutan

1

Surveillance Indicators
Annualized
AFP Rates 2

Compatible

Case Classification

AFP

Table 4: Intratypic Differentiation (ITD) of Isolates from AFP Cases, 2016-2017 (data as of 06 November 2017)

3

0

0

1

0

0

18

0

0

0

0

0

0

0

0

DPR Korea

NPL, Pyongyong

0

0

8

0

0

0

0

5

5

0

Negative

1

0

Results
pending

NEV

0

0

Vaccine
mixture
NPEV by
PCR

0

1

Vaccine

0

0

Wild

NEV

Negative

0

0

VDPV

Vaccine

3

0

Vaccine

Wild

0

1

Wild

VDPV

8

NIH, Bangkok

Vaccine

Vaccine

IPH, Dhaka

Bhutan

7
Days days

Intratypic Differentiation results
Polio 1
Polio 2
Polio 3

Wild

Wild

Bangladesh

ITD Labs

Vaccine
mixture
NPEV by
PCR

Vaccine

AFP cases
referred
for ITD

2017
Results
pending

Wild

Country of
Case

AFP cases
referred
for ITD

2016
Intratypic Differentiation results
Polio 1
Polio 2
Polio 3

7
days
0

0

BJMC, Ahmedabad

258

0

78

0

25

0

0

74

80

1

0

0

0

0

218

0

77

0

0

0

0

59

76

6

0

0

0

0

NIV, Bengaluru

225

0

56

0

24

0

0

67

70

6

2

0

0

0

143

0

54

0

0

0

0

32

43

14

0

0

0

0

ERC, Mumbai

172

0

53

0

13

0

0

52

43

11

0

0

0

0

141

0

48

0

0

0

0

41

35

15

0

0

2

0

SGPGI, Lucknow

311

0

56

0

53

0

0

86

66

16

34

0

0

0

286

0

59

0

0

0

0

98

62

25

41

0

1

0

KIPM, Chennai

98

0

26

0

17

1

0

26

28

0

0

0

0

0

49

0

9

0

0

0

0

27

13

0

0

0

0

0

NCDC, Delhi

231

0

47

0

38

0

0

91

52

3

0

0

0

0

203

0

56

0

0

0

0

85

53

7

0

0

2

0

IoS, Kolkatta

113

0

26

0

18

0

0

35

33

0

1

0

0

0

162

0

54

0

0

0

0

39

51

15

3

0

0

0

CRI, Kasauli

35

0

5

0

7

0

0

11

12

0

0

0

0

0

20

0

11

0

0

0

0

5

4

0

0

0

0

0

1 443

0

347

0

195

1

0

442

384

37

37

0

0

0

1 222

0

368

0

0

0

0

386

337

82

44

0

5

0

Bio Farma, Bandung

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

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

India

India Total

Indonesia

TOTAL

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

1 259

0

379

0

0

0

0

403

346

82

44

0

5

0