Immunization and Vaccine
Development (IVD) SEARO
Protecting People from Vaccine
Preventable Diseases
Last wild poliovirus cases confirmed by type, SEAR
*Dots are randomly placed within blocks (Sub-districts)
Data as of 15 January 2018
WPV Type 2 District: Aligarh
State: Uttar Pradesh (India) Date of onset: 24-Oct-1999
Monthly Distribution of AFP Cases
SEAR, 2017
–
2018
Data as of 15 January 2018
Bangladesh
1,364
7
65
114
119
135
147
125
96
153
109
111
132
81
42
7
15-Jan-18
Bhutan
8
0
1
0
0
1
2
0
0
1
0
3
1
0
0
0
15-Jan-18
DPR Korea
103
0
0
14
10
8
13
7
13
6
11
6
14
1
0
0
13-Dec-17
India
38,870
139
3,230
3,150
2,747
2,866
2,750
3,050
3,142
3,970
4,775
3,777
3,160
3,012
2,471
139
12-Jan-18
Indonesia
1,535
0
0
104
113
113
107
116
77
114
142
143
211
218
77
0
15-Jan-18
Maldives
6
0
0
0
0
1
2
0
0
1
0
0
0
1
1
0
17-Dec-17
TOTAL
42,861
146
3,367
3,471
3,072
3,194
3,080
3,372
3,397
4,353
5,178
4,119
3,600
3,391
2,634
146
AFP cases by month of paralysis onset, last 14 months (data from weekly case-based reports)
Primary Culture Results from AFP Cases, 2016
1 Calculation based on date specimen received in laboratory subtracted from date result report to the national programme.
2 Stool samples collected from contact and healthy children survey. 3 Stool samples from cross notified AFP cases tested in India
Nepal
SEAR
Indonesia
Country Polio Laboratories
Number of AFP cases with specimens received
in Lab
AFP cases AFP specimens
%
N
P
E
V
Specimens from other sources2
Positive
Primary Culture Results from AFP Cases, 2017
Data as of 15 January 2018
<14 days >14 daysBJMC, Ahmedabad 5,421 202 29 1,045 4,012 132 1 10,819 96.0 16.3 10 0 0 0
NIV, Bengaluru 3,469 126 24 931 2,322 66 0 6,916 96.8 22.8 5 0 0 0
IoS, Kolkatta 5,810 161 19 1,284 4,246 99 1 11,607 84.5 18.0 0 0 0 0
KIPM, Chennai 3,373 44 7 631 2,659 32 0 6,646 98.6 15.3 0 0 0 0
NCDC, Delhi 5,959 185 21 824 4,831 98 0 11,878 97.8 12.1 5 0 0 0
CRI, Kasauli 1,918 20 1 288 1,595 13 1 3,842 99.5 11.8 0 0 0 0
SGPGI, Lucknow 8,883 256 33 2,035 6,431 127 1 17,743 91.9 18.2 5 0 0 0
ERC, Mumbai 2,685 136 13 467 2,069 0 0 5,354 93.3 15.2 9 0 0 0
India Sub Total 37,518 1,130 147 7,505 28,165 567 4 74,805 93.6 17.0 34 0 0 0
Bio Farma, Bandung 428 2 0 36 384 5 1 847 90 8.1 0 0 0 0
41,324 1,165 153 8,100 31,290 592 24 82,395 93.7 16.8 431 2 0 0
1
Calculation based on date specimen received in laboratory subtracted from date result report to the national programme. 2
Stool samples collected from contact and healthy children survey. 3 Stool samples from cross notified AFP cases tested in India Nepal
Country Polio Laboratories
Number of AFP cases with specimens received in Lab
AFP cases AFP specimens
%
N
P
E
V
Specimens from other sources2
Poliovirus Detected in Sewage Samples, India, 2016
Poliovirus Detected in Sewage Samples, India, 2017
Poliovirus Detected in Sewage Samples, India, 2018
Laboratory Data of Environmental Surveillance 2017-2018,
NPML,IPH Bangladesh, Report: January 1,2018)
Report on Epidemiological Week 52, 2017, NPML-IPH, Bangladesh: total
collected 102; NPEV 74(72%) ; Polio/vaccine:10(SL1- 3; SL3-7
)
Site
City # Site 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 Dhaka Niketon 92 95 96 100 104 108 112 116 120 124 128 132 136 140 144 148 152 156 160 164 168 172 176 180 184 188 192
Gazipur Esthema 99 203 107 111 115 119 123 127 131 134 138 142 146 150 154 158 162 166 170 174 178 182 186 190
Dhaka Gulshan s94 98 102 106 110 114 118 122 125 129 133 137 141 145 149 153 157 161 165 169 173 177 181 185 189 193
Dhaka Bashabo s93 97 101 105 109 113 117 121 126 130 135 139 143 147 151 155 159 163 167 171 175 179 183 187 191
Site
Sites:
Bangladesh
Summary
: : Total site 4
Total sample collected
WPV1Site 1= Hatirjheel-Niketon,Dhaka
Total sample with result available:
190
VDPVSite 2= Esthema-Kamarpara,Tongi)
Total sample positive for WPV(with type)
0
SLPV2 SLPV1Site 3= Wasa Sewarage Pit-Gulshan,DhakTotal sample positive for VDPV
0
SL PV3Site 4= Bashabo Sewarage pit,Dhaka
Total sample positive for SLPV3
9
NPEVSample collected fortnightly
Total sample positive for SLPV2
1
Negetive (NVI)Total sample positive for SLPV1
3
DiscordantTotal sample positive for NPEV
101
under processTotal RD Positive:
114
Total sample NVI:
76
Not collectedprocessing: 3
Reported by Dr. K Mahbuba Jamil, Virologist, National Polio(AFP-ES) Measles-Rubella and AMES(JE) Laboratory, IPH, Bangladesh
Year 2017
193
Note: NPML-IPH lab processes: Sewage samples are tested in cell culture, virus isolation done, confirmed by realtime PCR (ITD)
Note:
ERC sequencing report has confirmed the ES-158-ITD discordant sample finally as"PV SL3(vaccine) with 2 neucleotide change"
.
Poliovirus Detected in Sewage Samples, Thailand, 2016-2018
Data as of 12 January 2018
Sampling site
1
2
3
4
5
6
7
8
9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52
Bangkok
Samut Sakhon
Sampling site
1
2
3
4
5
6
7
8
9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52
Bangkok
Samut Sakhon
Sampling site
1
2
3
4
5
6
7
8
9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52
Bangkok
Samut Sakhon
Type 1 Sabin
Type 1 VDPV
Wild polio type 1
Negative for Polio and NPEV
Type 2 Sabin
Type 2 VDPV
Wild polio type 3
Result pending
Type 3 Sabin
Type 3 VDPV
NPEV
Sampling not scheduled
Type 1 Sabin + 3 Sabin
2016
2017
Start to use two-phases separation with Dextran and PEG6000 for sewage sample concentration since week18/2017
Poliovirus Detected in Sewage Samples, Nepal, 2017-2018
Data as of 12 January 2018
Sampling site 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52
Bagmati-Pachali
Bagmati Manahara Confluence
Bagmati Dhobikhola Confluence
Tukucha
Sewer inlet chamber - Guheshwari
Sobhabhagawati
Sampling site 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52
Bagmati Manahara Confluence
Bagmati Dhobikhola Confluence
Tukucha
Sewer inlet chamber - Guheshwari
Sobhabhagawati
Type 1 Sabin Type 1 VDPV Wild polio type 1 Negative for Polio and NPEV
Type 2 Sabin Type 2 VDPV Wild polio type 3 Result pending
Type 3 Sabin Type 3 VDPV NPEV Sampling not scheduled
Type 1 Sabin + 3 Sabin 2018
Poliovirus Detected in Sewage Samples, Indonesia, 2017-2018
Data as of 15 January 2018
Type 1 Sabin Type 1 VDPV Wild polio type 1 Negative for Polio and NPEV
Type 2 Sabin Type 2 VDPV Wild polio type 3 Result pending
Type 3 Sabin Type 3 VDPV NPEV Sampling not scheduled
Type 1 Sabin + 3 Sabin
Province 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52
DKI Jakarta
East Java
West Java
Yogyakarta
Province 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52
DKI Jakarta
East Java
West Java
Yogyakarta
Indonesia - 2017
Measles and Rubella Serology (IgM) , 2017
Source: Monthly Reported by SEAR Measles Laboratory Network
Data as of 30 November 2017
# % # %
Banglade s h Dhaka 6206 6206 2576 41.5 218 6.0 67.6
Bhutan Thimphu 437 437 65 14.9 8 2.2 91.8
DPR Kore a Pyongyang 104 104 0 0.0 0 0.0 0.0
Ahmedabad 444 444 308 69.4 30 22.1 100.0
Bengaluru 747 674 158 23.4 172 33.3 91.8
Bhopal 178 178 130 73.0 4 8.3 99.4
Chandigarh 123 123 43 35.0 11 13.8 100.0
Chennai 963 190 50 26.3 70 50.0 98.4
Delhi 142 142 93 65.5 6 12.2 97.2
Guw ahati 272 153 103 67.3 14 28.0 100.0
Hyderabad 80 80 32 40.0 7 14.6 100.0
Jaipur 323 323 221 68.4 7 6.9 80.8
Kolkata 962 962 396 41.2 321 56.7 88.0
Lucknow 1850 1672 1013 60.6 90 13.7 78.6
Patna 437 437 141 32.3 115 38.9 66.1
Pune 699 522 310 59.4 45 21.2 91.4
7220 5900 2998 50.8 892 30.7 86.6
Bandung 1165 1165 582 50.0 179 30.7 93.1
Jakarta 5076 3850 1018 26.4 1236 43.6 25.0
Surabaya 4096 2941 1483 50.4 486 33.3 52.8
Yogyakarta 3869 3869 1012 26.2 1290 45.2 72.3
14206 11825 4095 34.6 3191 41.3 54.1 Maldive s Male 65 65 1 1.5 1 1.6 89.2
Myanm ar Yangon 1544 1540 1006 65.3 6 1.1 99.0
Ne pal Kathmandu 789 789 56 7.1 19 2.6 91.3
Sri Lank a Colombo 138 137 5 3.6 8 6.1 86.1
Bangkok 601 601 312 51.9 3 1.0 100.0
Chiang Mai 93 93 40 43.0 0 0.0 100.0
Chiang Rai 35 35 9 25.7 0 0.0 88.6
Chon Buri 248 167 58 34.7 1 0.9 100.0
Khon Kaen 55 55 11 20.0 1 2.3 100.0
Nakhon Saw an 8 8 3 37.5 0 0.0 100.0
Nakhonratchasima 65 65 27 41.5 3 7.9 100.0
Phitsanulok 56 56 15 26.8 2 4.9 100.0
Samut Songkhram 439 439 266 60.6 5 2.9 98.2
Songkhla 790 790 631 79.9 3 1.9 100.0
Surat Thani 10 10 1 10.0 0 0.0 100.0
Trang 59 59 10 16.9 9 18.4 100.0
Ubon Ratchathani 56 56 9 16.1 1 2.1 100.0
Udon Thani 15 15 5 33.3 0 0.0 100.0
2530 2449 1397 57.0 28 2.7 99.5 Tim or-Le s te Dili 80 80 0 0.0 3 3.8 87.5
33319 29532 12199 41.3 4374 25.2 71.2
