volume 13 • issue 12 • december 2019 issn 1814 3601 · philippines1 - 5 285 144 11 3 018 1 947...

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Volume 13 Issue 12 December 2019 ISSN 1814 3601 Figure 1. Incidence rate of measles cases with rash onset 1–30 November 2019, WHO Western Pacific Region Pacific island countries and areas DISCLAIMER: The boundaries and names shown and the designations used on this map do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted lines on maps represent approximate border lines for which there may not yet be full agreement. © WHO Regional Office for the Western Pacific 2019. All rights reserved *Map of Australia is from the Australian Bureau of Statistics Table 1. Numbers of confirmed and total (confirmed and compatible) measles cases by month of rash onset, June–November 2019, WHO Western Pacific Region Source: Measles and rubella monthly country reports to the Western Pacific Regional Office by 20 December 2019 No. of confirmed Total no. of cases No. of confirmed Total no. of cases No. of confirmed Total no. of cases No. of confirmed Total no. of cases No. of confirmed Total no. of cases No. of confirmed Total no. of cases Australia 1 3 3 19 19 14 14 28 28 46 46 29 29 Brunei Darussalam 0 0 0 0 0 0 1 1 0 0 0 0 Cambodia 22 22 36 36 84 84 129 129 186 186 92 92 China 339 353 300 310 253 262 171 178 143 151 145 202 China, Hong Kong SAR 4 4 2 2 2 2 1 1 1 1 3 3 China, Macao SAR 0 0 0 0 0 0 0 0 0 0 0 0 Japan 49 49 21 21 9 10 33 34 13 16 8 8 Lao People's Democratic Republic 37 48 4 29 43 43 4 4 37 37 8 8 Malaysia 127 129 104 108 98 99 63 66 80 84 71 80 Mongolia 0 0 0 0 0 0 0 0 0 0 0 0 New Zealand 104 104 199 200 489 518 663 674 305 310 149 149 Papua New Guinea 0 0 0 0 0 0 0 0 0 0 0 0 Philippines 2 237 1900 205 1345 236 1131 220 1066 124 820 118 639 Republic of Korea 8 8 8 8 3 3 4 4 5 5 2 2 Singapore 27 28 48 52 10 10 5 6 3 3 1 1 Viet Nam 270 799 162 618 129 562 43 422 55 446 29 225 Pacific island countries and areas 0 0 0 0 0 0 8 8 73 73 0 0 Western Pacific Region 1227 3447 1108 2748 1370 2738 1373 2621 1071 2178 655 1438 "-" No data 1 Reports only confirmed cases Nov Jun Jul Aug Sep Oct 2019 Country/area Source: Measles and rubella monthly country reports to the Western Pacific Regional Office by 20 December 2019

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Page 1: Volume 13 • Issue 12 • December 2019 ISSN 1814 3601 · Philippines1 - 5 285 144 11 3 018 1 947 60.0% 6 604 248 13 4 880 1 463 77.8% Republic of Korea 2014 19 4 4 0 11 42.1% 188

Volume 13 • Issue 12 • December 2019 ISSN 1814 3601

Figure 1. Incidence rate of measles cases with rash onset 1–30 November 2019, WHO Western Pacific Region

Pacific island countries and areas

DISCLAIMER: The boundaries and names shown and the designations used on this map do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted lines on maps represent approximate border lines for which there may not yet be full agreement. © WHO Regional Office for the Western Pacific 2019. All rights reserved *Map of Australia is from the Australian Bureau of Statistics

Table 1. Numbers of confirmed and total (confirmed and compatible) measles cases by month of rash onset, June–November 2019, WHO Western Pacific Region

Source: Measles and rubella monthly country reports to the Western Pacific Regional Office by 20 December 2019

No. of confirmed

Total no. of cases

No. of confirmed

Total no. of cases

No. of confirmed

Total no. of cases

No. of confirmed

Total no. of cases

No. of confirmed

Total no. of cases

No. of confirmed

Total no. of cases

Australia1 3 3 19 19 14 14 28 28 46 46 29 29Brunei Darussalam 0 0 0 0 0 0 1 1 0 0 0 0Cambodia 22 22 36 36 84 84 129 129 186 186 92 92China 339 353 300 310 253 262 171 178 143 151 145 202China, Hong Kong SAR 4 4 2 2 2 2 1 1 1 1 3 3China, Macao SAR 0 0 0 0 0 0 0 0 0 0 0 0Japan 49 49 21 21 9 10 33 34 13 16 8 8Lao People's Democratic Republic 37 48 4 29 43 43 4 4 37 37 8 8Malaysia 127 129 104 108 98 99 63 66 80 84 71 80Mongolia 0 0 0 0 0 0 0 0 0 0 0 0New Zealand 104 104 199 200 489 518 663 674 305 310 149 149Papua New Guinea 0 0 0 0 0 0 0 0 0 0 0 0Philippines2 237 1900 205 1345 236 1131 220 1066 124 820 118 639Republic of Korea 8 8 8 8 3 3 4 4 5 5 2 2Singapore 27 28 48 52 10 10 5 6 3 3 1 1Viet Nam 270 799 162 618 129 562 43 422 55 446 29 225Pacific island countries and areas 0 0 0 0 0 0 8 8 73 73 0 0Western Pacific Region 1227 3447 1108 2748 1370 2738 1373 2621 1071 2178 655 1438"-" No data1 Reports only confirmed cases

NovJun Jul Aug Sep Oct2019

Country/area

Source: Measles and rubella monthly country reports to the Western Pacific Regional Office by 20 December 2019

Page 2: Volume 13 • Issue 12 • December 2019 ISSN 1814 3601 · Philippines1 - 5 285 144 11 3 018 1 947 60.0% 6 604 248 13 4 880 1 463 77.8% Republic of Korea 2014 19 4 4 0 11 42.1% 188

Figure 2. Total (confirmed and compatible) measles cases by month of rash onset, WHO Western Pacific Region, 2014–2019* as of 20 December 2019

0

5 000

10 000

15 000

20 000

25 000Ja

nFe

bM

ar Apr

May Jun Jul

Aug

Sep

Oct

Nov

Dec

Jan

Feb

Mar Apr

May Jun Jul

Aug

Sep

Oct

Nov

Dec

Jan

Feb

Mar Apr

May Jun Jul

Aug

Sep

Oct

Nov

Dec

Jan

Feb

Mar Apr

May Jun Jul

Aug

Sep

Oct

Nov

Dec

Jan

Feb

Mar Apr

May Jun Jul

Aug

Sep

Oct

Nov

Dec

Jan

Feb

Mar Apr

May Jun Jul

Aug

Sep

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2014 2015 2016 2017 2018 2019

Num

ber o

f mea

sles

cas

es

China Malaysia Mongolia Papua New Guinea Philippines Viet Nam Others

* Measles burden in end 2018 is underrepresented due to lack of submission of data from Philippines.Source: Measles and rubella monthly country reports to WHO by 20 December 2019

Table 2. Status of verification of measles elimination, WHO Western Pacific Region

Source: Measles and rubella monthly country reports to the Western Pacific Regional Office by 20 December 2019

Imported Import-related Endemic

Unknown/ not

reportedImported Import-

related EndemicUnknown

/ not reported

Australia 2014 101 54 38 0 9 91.1% 273 99 122 0 52 81.0%Brunei Darussalam 2015 1 1 0 0 0 100.0% 1 0 0 0 1 0.0%Cambodia 2015 3 0 0 0 3 0.0% 634 0 0 0 634 0.0%China - 3 890 0 0 0 3 890 0.0% 2 546 0 0 0 2 546 0.0%China, Hong Kong SAR 2016 16 7 0 0 9 43.8% 89 38 42 0 9 89.9%China, Macao SAR 2014 3 2 0 0 1 66.7% 35 18 17 0 0 100.0%Japan 2015 268 36 189 0 43 84.0% 729 114 495 0 120 83.5%Lao People's Democratic Republic - 10 0 0 0 10 0.0% 653 0 0 0 653 0.0%Malaysia - 1 886 6 0 1 412 468 75.2% 925 5 0 733 187 79.8%Mongolia - 0 - - - - - 2 0 0 0 2 0.0%New Zealand 2017 33 2 0 0 31 6.1% 2 122 22 449 0 1 651 22.2%Papua New Guinea - 15 0 0 0 15 0.0% 0 - - - - -Philippines1 - 5 285 144 11 3 018 1 947 60.0% 6 604 248 13 4 880 1 463 77.8%Republic of Korea 2014 19 4 4 0 11 42.1% 188 84 101 0 3 98.4%Singapore 2018 33 8 1 0 24 27.3% 152 33 2 0 117 23.0%Viet Nam - 913 0 0 0 913 0.0% 2 837 0 0 0 2 837 0.0%Pacific island countries and areas - 0 - - - - - 104 14 20 0 70 32.7%Total 12 476 264 243 4 430 7 374 39.6% 17 894 675 1 261 5 613 10 345 42.2%

Blue No measles casesGreen ≥80%Yellow 60–79%Red <60%

Country/area Year verified

2019

No. of confirmed

cases

Source of infection % of cases with known

source of infection

2018

No. of confirmed

cases

Source of infection % of cases with known

source of infection

2

Page 3: Volume 13 • Issue 12 • December 2019 ISSN 1814 3601 · Philippines1 - 5 285 144 11 3 018 1 947 60.0% 6 604 248 13 4 880 1 463 77.8% Republic of Korea 2014 19 4 4 0 11 42.1% 188

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Table 3. Measles case classification and incidence by country and area, WHO Western Pacific Region, 2015—2019 as of 20 December 2019

Clinically compatible Lab Epi-linked

Total confirmed

and clinically compatible

Annualized measles

incidence per 1 million pop.

Australia 74 3.1 99 4.1 81 3.3 101 4.1 25.1 NA3 0 0 0 269 4 273 11.9 0 7-Dec-19

Brunei Darussalam 4 9.6 1 2.4 0 0.0 1 2.3 0.4 20 0 19 0 1 0 1 2.5 0 13-Sep-19

Cambodia 0 0.0 56 3.6 10 0.6 3 0.2 16.5 2 163 58 1 469 0 634 0 634 42.0 0 16-Dec-19

China 42 864 30.7 24 839 17.7 5 993 4.3 3 975 2.8 1420.1 73 526 1 286 69 548 146 2 546 0 2 692 2.1 0 30-Nov-20

China, Hong Kong SAR 18 2.5 9 1.2 4 0.5 16 2.2 7.5 97 0 8 0 89 0 89 13.0 0 29-Nov-19

China, Macao SAR 0 0.0 0 0.0 2 3.2 3 4.7 0.6 131 2 94 0 35 0 35 59.5 0 6-May-19

Japan 35 0.3 163 1.3 188 1.5 279 2.2 126.9 3 487 147 2 588 23 729 0 752 6.5 0 26-Nov-19

Lao People's Democratic Republic 56 8.4 8 1.2 3 0.4 10 1.4 7.1 1 623 55 859 55 162 491 708 109.3 0 21-Nov-19

Malaysia 1 318 42.9 1 587 50.9 1 693 53.5 1 958 61.1 32.5 9 437 372 8 095 45 885 40 970 32.6 7 28-Nov-19

Mongolia 20 373 6843.7 28 813 9517.4 9 2.9 1 0.3 3.2 335 17 316 0 2 0 2 0.7 0 4-Mar-19

New Zealand 12 2.6 104 22.3 15 3.2 33 6.9 4.8 2 270 8 85 55 1 980 142 2 177 495.6 0 28-Nov-19

Papua New Guinea 53 6.7 0 0.0 7 0.8 15 1.8 8.6 55 2 53 0 0 0 0 0.0 0 6-Aug-18

Philippines 2 003 19.7 641 6.2 2 432 23.2 22 862 214.6 108.1 49 713 0 1 845 41 264 4 217 2 387 47 868 483.0 61 6-Dec-19

Republic of Korea 7 0.1 18 0.4 7 0.1 19 0.4 51.3 4 533 1 4 343 1 188 0 189 4.0 0 20-Aug-19

Singapore 45 8.1 157 27.9 81 14.2 37 6.4 5.9 260 0 98 10 101 51 162 30.1 0 20-Nov-19

Viet Nam 884 9.4 368 3.9 592 6.2 1 249 12.9 97.4 10 669 1 382 676 5 774 2 819 18 8 611 96.4 5 19-Nov-19

Pacific island countries and areas4 20 6.2 6 1.8 2 0.6 0 0.0 3.4 2 313 1 775 433 1 77 27 105 34.1 3 1-May-17

Fiji 1 1.1 5 5.6 1 1.1 0 0.0 0.9 399 39 360 0 0 0 0 0.0 0 1-May-17

New Caledonia 1 3.7 - - 1 3.6 0 0.0 0.3 2 0 2 0 0 0 0 0.0 - 10-Jan-17

Samoa - - - - - - - - 0.2 1 518 1 376 71 1 70 0 71 389.4 3 23-Oct-19

Solomon Islands - - 1 1.7 0 0.0 0 0.0 0.6 - - - - - - - - - 21-Jan-16

Tonga - - - - - - - - 0.1 394 360 0 0 7 27 34 337.1 0 21-Oct-19

Vanuatu 19 71.8 0 0.0 - - - - 0.3 - - - - - - - - - 23-Sep-15

Western Pacific Region 67 766 36.0 56 869 30.1 11 119 5.8 30 562 16.0 1919.2 160 632 5 105 90 529 47 374 14 734 3 160 65 268 37.1 761 Includes clinically compatible, laboratory confirmed and epi-linked confirmed cases Green <1 confirmed measles case / 1 000 000 population2 United Nations, Department of Economic and Social Affairs, Population Division World Population Prospects 2017 revision. Yellow 1–9.9 confirmed measles case / 1 000 000 population3 Australia reports confirmed cases only. Red >= 10 confirmed cases / 1 000 000 population4 Classification is provisional based on laboratory data only.

Country/areaMeasles

incidence per

1 million pop.

Total confirmed and

clinically compatible1

Measles incidence

per 1 million

pop.

2015 2019

Rash onset of last

confirmed measles case

Deaths due to

measles

Total confirmed and

clinically compatible1

Measles incidence

per 1 million

pop.

2016 2017

Total confirmed and

clinically compatible1

Total confirmed and

clinically compatible1

Measles incidence

per 1 million

pop.

Population (in millions) 2

Suspected measles

cases

Pending classification

Discarded cases3

Measles cases

2018

3

Page 4: Volume 13 • Issue 12 • December 2019 ISSN 1814 3601 · Philippines1 - 5 285 144 11 3 018 1 947 60.0% 6 604 248 13 4 880 1 463 77.8% Republic of Korea 2014 19 4 4 0 11 42.1% 188

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Table 4. Measles surveillance performance indicators by country and area, WHO Western Pacific Region, 2018—2019 as of 20 December 2019

Discarded non-measles rate per

100 000 pop

Annualized discarded non-measles rate per

100 000 pop

≥ 2 ≥ 2

Australia 3 Insufficient data Insufficient data Insufficient data Insufficient data Insufficient data Insufficient data Insufficient data Insufficient data

Brunei Darussalam 5.3 Not applicable 100.0% 100.0% 4.7 Not applicable 100.0% 100.0%

Cambodia 6.7 84.0% 83.2% 99.5% 9.7 96.0% 91.0% 96.1%

China 2.2 64.5% 97.7% 93.0% 5.3 74.2% 96.6% 79.9%

China, Hong Kong SAR 0.2 Not applicable 93.9% 97.0% 0.1 Not applicable 100.0% 90.7%

China, Macao SAR 4.6 Not applicable 78.1% 100.0% 16.0 Not applicable 99.2% 99.2%

Japan 1.1 6.4% Insufficient data Insufficient data 2.2 21.3% Insufficient data Insufficient data

Lao People's Democratic Republic 11.5 88.2% 89.1% 89.0% 13.3 100.0% 87.7% 88.1%

Malaysia 26.8 93.8% 92.1% 90.0% 27.2 93.8% 90.3% 93.9%

Mongolia 8.5 50.0% 98.1% 96.2% 10.9 54.5% 94.0% 94.9%

New Zealand 0.3 Insufficient data Insufficient data Insufficient data 1.9 Insufficient data Insufficient data Insufficient data

Papua New Guinea 0.9 5.0% 62.0% 91.3% 0.7 5.0% 78.2% 81.8%

Philippines 0.9 5.6% 59.4% 52.8% 1.9 33.3% 26.4% 36.3%

Republic of Korea 1.3 5.9% 78.1% 95.0% 9.2 100.0% 89.5% 97.7%

Singapore 1.3 Not applicable 67.6% 78.4% 1.8 Not applicable 78.9% 86.1%

Viet Nam 1.1 22.2% 68.3% 80.5% 0.8 14.3% 38.7% 44.1%

Pacific island countries and areas4 2.8 5.0% 45.7% 77.2% 14.1 10.0% Insufficient data Insufficient data

Western Pacific Region 9.8 34.8% 84.0% 81.9% 42.7 46.1% 68.4% 64.4%Green Reached or surpassed target

Yellow Nearly reached target: 1.00–1.99 for non-measles suspected case rate; 10.1–25% for percent clinically confirmed cases; 60–79% for other indicators

Red Substantially below target

≥ 80%

Second level units with≥ 2 discarded cases per

100 000 pop [annualized]1

Suspected cases with adequate investigation

Suspected cases with adequate specimens for laboratory confirmation 2

2018

Country/area

≥ 80% ≥ 80%

2019

Second level units with≥ 2 discarded cases per

100 000 pop [annualized]1

Suspected cases with adequate investigation

Suspected cases with adequate specimens for laboratory confirmation 2

≥ 80% ≥ 80% ≥ 80%

1 This indicator is not applicable for countries which have no second-level administrative units2 Adequate specimen defined as blood specimen collected within 28 days of rash onset or other specimen (throat swab, nasopharyngeal swab, cerebrospinal fluid, urine) collected within 5 days of rash onset; excludes epidemiologically-linked cases.3 Reports only confirmed cases4 Surveillance performance indicators refer to all the Pacific island countries and areas as one epidemiological block; each country is considered as second level unit

Page 5: Volume 13 • Issue 12 • December 2019 ISSN 1814 3601 · Philippines1 - 5 285 144 11 3 018 1 947 60.0% 6 604 248 13 4 880 1 463 77.8% Republic of Korea 2014 19 4 4 0 11 42.1% 188

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Table 5. Rubella case classification and incidence by country and area, WHO Western Pacific Region, 2015–2019 as of 20 December 2019

Clinically compatible

casesLab Epi-linked

Australia - - - - - - - - 25.09 - - - - - - - - -

Brunei Darussalam 0 0.0 0 0.0 0 0.0 0 0.0 0.44 20 0 20 0 0 0 0 0.0 -

Cambodia 18 1.2 4 0.3 7 0.4 3 0.2 16.48 2 163 58 2 075 0 30 0 30 2.0 -

China 8 245 5.9 4 476 3.2 1 601 1.1 3 935 2.8 1 420.06 73 526 1 286 42 297 3 097 24 277 2 569 29 943 23.0 -

China, Hong Kong SAR 12 1.7 3 0.4 1 0.1 11 1.5 7.49 49 0 1 1 47 0 48 7.0 -

China, Macao SAR 2 3.3 1 1.6 0 0.0 1 1.6 0.64 131 0 53 0 78 0 78 132.5 -

Japan3 2 0.0 3 0.0 5 0.0 68 0.5 126.85 4 032 105 1 563 82 2 275 7 2 364 20.3 -

Lao People's Democratic Republic 24 3.6 40 5.9 12 1.7 15 2.2 7.06 1 569 1 1 558 0 10 0 10 1.5 -

Malaysia 34 1.1 68 2.2 113 3.6 175 5.5 32.45 9 585 372 9 068 0 145 0 145 4.9 -

Mongolia 28 9.4 27 8.9 13 4.2 1 0.3 3.17 335 17 316 0 2 0 2 0.7 -

New Zealand - - - - - - - - 4.79 1 0 0 0 1 0 1 0.2 -

Papua New Guinea 4 0.5 2 0.2 1 0.1 1 0.1 8.59 54 1 49 0 4 0 4 0.5 -

Philippines 154 1.5 165 1.6 448 4.3 152 1.4 108.11 49 713 0 49 531 0 177 5 182 1.8 -

Republic of Korea 2 0.0 3 0.1 2 0.0 0 0.00 51.34 262 0 254 0 8 0 8 0.2 -

Singapore 1 0.2 0 0.0 3 0.5 16 2.8 5.87 36 0 31 5 0 0 5 0.9 -

Viet Nam 972 10.4 350 3.7 126 1.3 102 1.1 97.43 4 020 60 2 316 1 635 9 0 1 644 18.4 -

Pacific island countries and areas 2 1 0.3 1 0.3 4 1.2 0 0.0 3.36 401 39 362 0 0 0 0 0.0 -

Fiji 1 1.1 1 1.1 4 4.4 0 0.0 0.92 399 39 360 0 0 0 0 0.0 -

New Caledonia 0 0.0 0 0.0 0 0.0 0 0.0 0.28 2 0 2 0 0 0 0 0.0 -

Solomon Islands - - - - 0 0.0 - - 0.00 0 - - - - - - - -

Vanuatu 0 0.0 0 0.0 - - - - 0.00 0 - - - - - - - -

Western Pacific Region 9 499 5.1 5 143 2.7 2 336 1.2 4 480 2.3 1919.23 145 897 1 939 109 494 4 820 27 063 2 581 34 464 19.6 -1 United Nations, Department of Economic and Social Affairs, Population Division World Population Prospects 2017 revision Green <1 confirmed measles case / 1 000 000 population2 Classification is provisional based on laboratory data only. Yellow 1–9.9 confirmed measles case / 1 000 000 population3 Rubella cases are cases reported as suspected measles cases that were identified as rubella laboratory confirmed cases during the investigation. This represents a small proportion of a large number of rubella cases occurring in Japan during 2018 Red >= 10 confirmed cases / 1 000 000 population

"-" No data Gray No data

2016 2018

Country/areaTotal

confirmed and clinically compatible

Rubella incidence per 1 million pop.

Total confirmed

and clinically compatible

Rubella incidence per 1 million pop.

2015

Total confirmed

and clinically compatible

Rubella incidence per 1 million pop.

2019

Population (in millions) 1

Investigated for rubella

Pending classification

Discarded cases

Total confirmed and

clinically compatible

Annualized Rubella

incidence per 1 million pop.

Congenital rubella

syndrome

Rubella casesTotal

confirmed and clinically compatible

Rubella incidence per 1 million pop.

2017

Page 6: Volume 13 • Issue 12 • December 2019 ISSN 1814 3601 · Philippines1 - 5 285 144 11 3 018 1 947 60.0% 6 604 248 13 4 880 1 463 77.8% Republic of Korea 2014 19 4 4 0 11 42.1% 188

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Table 6A. Measles and rubella laboratory testing, WHO Western Pacific Region, 2018

No. No. % No. % No. received

No. (+)

No. of samples tested

No. of isolates

No. of samples tested

No. (+) No. No. % No. %

Australia VIDRL 73 73 61 9 9 100.0 0 0% 0 - 66.7 0 - 63 63 59 0 - - - -

Brunei Darussalam DLS 25 24 24 24 1 4.2 0 0% 0 - 100.0 0 - 0 - 0 24 0 0% 0 0%

Cambodia NIPH 1 080 1 080 1 080 940 2 0.2 0 0% 140 0 67.6 0 - 0 - 0 1 076 0 0% 0 0%

China CCDC - - - - - - - - - - 91.2 - - - - - - - - - -

China, Hong Kong SAR PHLC 531 531 430 394 14 3.6 6 2% 0 - 90.3 8 2 129 15 19 351 10 3% 4 1%

China, Macao SAR PHL 153 153 153 153 9 5.9 5 3% 0 - 100.0 0 - 9 2 9 150 11 7% 0 0%

Japan NIID 4 091 3 631 2 091 508 63 12.4 76 15% 0 - - 0 - 1 558 320 349 25 6 - 0 -

Lao People's Democratic Republic NCLE 660 660 660 660 3 0.5 12 2% 0 - 85.1 0 - 0 - 3 658 16 2% 43 7%

Malaysia NPHL 15 804 15 804 11 428 10 951 1 996 18.2 304 3% 0 - 93.3 2 180 147 0 - 2 040 7 910 331 4% 214 3%

Mongolia NCCD 244 244 244 244 0 0.0 0 0% 0 - 100.0 0 - 0 - 0 241 1 0% 0 0%

New Zealand CHL 379 379 319 89 11 12.4 1 1% 0 - 94.2 1 0 273 28 32 51 1 2% 3 6%

Papua New Guinea CPHL 91 91 93 91 13 14.3 1 1% 0 - 76.1 0 - 0 - 13 91 3 3% 8 9%

Philippines RITM 17 378 15 452 13 321 12 452 1 922 15.4 67 1% 139 18 19.2 2 297 270 2 334 1 803 3 540 11 316 91 1% 51 0%

Republic of Korea KCDC 875 875 635 551 57 10.3 48 9% 0 - 60.8 11 3 368 32 80 340 61 18% 39 11%

Singapore NPHL 628 628 610 55 5 9.1 2 4% 0 - 98.2 36 10 592 41 41 55 5 9% 9 16%

Viet Nam national lab (Northern) NIHE 1 053 1 053 1 053 1 054 575 54.6 39 4% 0 - 99.1 292 3 311 228 753 896 50 6% 38 4%

Viet Nam national lab (Southern) PI 1 187 1 187 1 187 1 187 809 68.2 1 0% 0 - 61.4 59 0 59 0 809 1 184 55 5% 43 4%

Viet Nam subnational lab (Central) PI 357 357 357 349 49 14.0 1 0% 0 - 44.3 0 - 8 2 51 352 4 1% 0 0%

Viet Nam subnational lab (Highland) IHE 162 162 162 162 74 45.7 1 1% 0 - 66.0 0 - 0 - 74 162 1 1% 1 1%

Fiji FCCDC 89 81 81 77 0 0.0 1 1% 12 0 No data 0 - 0 - 0 89 0 0% 3 3%

Total 44 860 42 465 33 989 29 950 5 612 18. 7 565 2% 291 18 75.8 4 884 435 5 704 2 534 7 872 24 971 646 3% 456 2%

Samples tested for

rubella IgMRubella IgM (+)

Rubella IgM equiv

DBS samples Total number

of samples received

Total number

of samples tested

Total number of cases tested

Samples tested for

measles IgMMeasles IgM (+)

Measles IgM equiv

Virus detection

Totalnumber of

labconfirmed

cases

Serum and blood (includes DBS)Serum Blood

% of samples

with results ≤4

days

Measles Virus isolation/ detection (swab, urine and

others)

Measles Reverse

Transcription- Polymerase Chain

Reaction

Country/area Laboratory

Measles and rubellaMeasles Rubella

Serology

Page 7: Volume 13 • Issue 12 • December 2019 ISSN 1814 3601 · Philippines1 - 5 285 144 11 3 018 1 947 60.0% 6 604 248 13 4 880 1 463 77.8% Republic of Korea 2014 19 4 4 0 11 42.1% 188

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Table 6B. Measles and rubella laboratory testing, WHO Western Pacific Region, 2019 as of 20 December 2019

No. No. % No. %No.

receivedNo. (+)

No. of samples tested

No. of isolates

No. of samples tested

No. (+) No. No. % No. %

Australia VIDRL 176 176 153 14 12 85.7 0 0% 0 - 100.0 50 17 161 157 150 1 1 100% 0 0%

Brunei Darussalam DLS 23 21 21 21 2 9.5 1 5% 0 - 95.8 1 1 1 0 0 21 0 0% 0 0%

Cambodia NIPH 2 063 2 063 2 063 2 063 657 31.8 2 0% 78 1 82.6 0 - 0 - 657 2 058 30 1% 0 0%

China CCDC - - - - - - - - - - 95.8 - - - - - - - - - -

China, Hong Kong SAR PHLC 2 831 2 831 1 743 1 359 57 4.2 12 1% 0 - 97.8 84 35 1 402 107 108 396 42 11% 6 2%

China, Macao SAR PHL 814 814 497 496 31 6.3 9 2% 0 - 100.0 0 - 378 52 62 495 39 8% 17 3%

Japan NIID 10 412 10 061 5 827 628 201 32.0 83 13% 0 - No data 0 - 2 961 649 729 1 586 1 160 73% 66 4%

Lao People's Democratic Republic NCLE 939 939 939 939 120 12.8 16 2% 0 - 88.7 0 - 0 - 120 944 13 1% 24 3%

Malaysia NPHL 17 315 17 315 11 224 10 578 1 100 10.4 216 2% 0 - 95.3 2 329 13 0 - 1 105 8 927 341 4% 149 2%

Mongolia NCCD 316 316 316 316 3 0.9 0 0% 0 - 100.0 0 - 0 - 3 316 3 1% 0 0%

New Zealand CHL 3 599 3 599 3 415 234 92 39.3 6 3% 0 - 100.0 18 0 3 368 2 045 2 015 23 2 9% 1 4%

Papua New Guinea CPHL 55 55 55 55 1 1.8 1 2% 0 - 62.5 0 - 0 - 1 55 5 9% 1 2%

Philippines RITM 28 815 7 788 7 757 7 755 4 558 58.8 265 3% 31 7 46.3 0 - 2 695 1 933 6 198 2 962 196 7% 89 3%

Republic of Korea KCDC 7 919 7 919 4 859 3 200 182 5.7 90 3% 0 - 57.3 0 - 4 251 277 367 344 52 15% 28 8%

Singapore NPHL 808 808 779 82 20 24.4 3 4% 0 - 95.1 129 49 740 138 207 82 1 1% 2 2%

Viet Nam national lab (Northern) NIHE 1 216 1 216 1 187 974 740 76.0 5 1% 0 - 99.6 183 4 241 192 916 295 9 3% 0 0%

Viet Nam national lab (Southern) PI 4 324 4 324 4 320 4 309 1 864 43.3 14 0% 0 - 53.6 15 0 15 0 1 864 3 509 29 1% 16 0%

Viet Nam subnational lab (Central) PI 1 375 1 375 1 375 1 375 1 242 90.3 9 1% 0 - 53.7 5 0 15 10 1 242 860 0 0% 1 0%

Viet Nam subnational lab (Highland) IHE 1 541 1 541 1 541 1 542 1 396 90.5 11 1% 0 - 50.4 0 - 0 - 1 395 1 028 1 0% 1 0%

Fiji FCCDC 403 389 389 371 19 5.1 10 3% 0 - No data 4 4 0 - 19 169 3 2% 0 0%

Total 84 944 63 550 48 460 36 311 12 297 33. 9 753 2% 109 8 72.3 2 818 123 16 228 5 560 17 158 24 071 1 927 8% 401 2%

Country/area Laboratory

Measles and rubellaMeasles Rubella

Serology Virus detection

Total number of

lab confirmed

cases

Serum and blood (includes DBS)Serum Blood

% of samples

with results ≤4

days

Measles Virus isolation/ detection

(swab, urine and others)

Measles Reverse

Transcription- Polymerase Chain

Reaction

Total number

of samples received

Total number

of samples tested

Total number of cases tested

Samples tested for

measles IgMMeasles IgM (+)

Measles IgM equiv

DBS samples Samples

tested for rubella IgM

Rubella IgM (+)Rubella

IgM equiv

Page 8: Volume 13 • Issue 12 • December 2019 ISSN 1814 3601 · Philippines1 - 5 285 144 11 3 018 1 947 60.0% 6 604 248 13 4 880 1 463 77.8% Republic of Korea 2014 19 4 4 0 11 42.1% 188

8

Figure 3. Measles genotype distribution of cases with rash onset in 2018 and 2019, WHO Western Pacific Region

Table 7. Measles genotype distribution of cases with rash onset in December 2018 to November 2019, WHO Western Pacific Region

2018 2019

B3 D8 D9 H1 B3 D8 D9 H1 B3 D8 D9 H1 B3 D8 D9 H1 B3 D8 D9 H1 B3 D8 D9 H1 B3 D8 D9 H1 B3 D8 D9 H1 B3 D8 D9 H1 B3 D8 D9 H1 B3 D8 D9 H1 B3 D8 D9 H1Australia 3 7 4 13 11 7 4 32 5 20 4 11 1 23 1 8 5 2 8 3 7 1 2Brunei Darussalam 1 1Cambodia 4 2 1 9 8 6 3 3 2 3 4China 3 1 4 2 1 3 3 10 1 53 10 11 36 9 3 17 1 15 14 1 11 14 4China, Hong Kong SAR 2 3 1 1 30 1 51 5 2 6 1 6 2 1 1 1 2 1China, Macao SAR 1 2 10 1 15 1 2 1Japan 2 10 91 18 85 25 37 48 24 57 35 11 27 2 15 2 2 1 25 6 1 4Lao People's Democratic Republic 8 7Malaysia 3 10 2 2 6 3 1 1 1 9 1 8MongoliaNew Zealand 3 1 4 2 9 1 11 1 20 1 11 7 4 11 20 31 16 43 14 47 1 36 10 13Papua New GuineaPhilippines 39 24 4 9 9 2Republic of Korea 3 1 32 65 4 44 2 7 1 6 5 6 11Singapore 5 4 2 10 9 4 5 2 3 4 9 40 7 7 2 2 3 1Viet Nam 4 10 7 27 21 19 13 19 5 1Pacific island countries and areas

Country/area Dec2018

NovAprMarFebJan AugMay2019

JulJun Sep Oct

Source: Measles and rubella monthly country reports to the Western Pacific Regional Office by 20 December 2019

The boundaries and names shown and the designations used on the maps do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted lines on maps represent approximate border lines for which there may not yet be full agreement. © WHO Regional Office for the Western Pacific 2019. All rights reserved.

Page 9: Volume 13 • Issue 12 • December 2019 ISSN 1814 3601 · Philippines1 - 5 285 144 11 3 018 1 947 60.0% 6 604 248 13 4 880 1 463 77.8% Republic of Korea 2014 19 4 4 0 11 42.1% 188

9

Figure 4. Rubella genotype distribution of cases with rash onset in 2018 and 2019, WHO Western Pacific Region

Table 8. Rubella genotype distribution of cases with rash onset in December 2018 to November 2019, WHO Western Pacific Region

2018 2019

Source: Measles and rubella monthly country reports to the Western Pacific Regional Office by 20 December 2019

2B 1E 1J 2B 1E 1J 2B 1E 1J 2B 1E 1J 2B 1E 1J 2B 1E 1J 2B 1E 1J 2B 1E 1J 2B 1E 1J 2B 1E 1J 2B 1E 1J 2B 1E 1J

Australia

Brunei Darussalam

Cambodia

China 8 39 18 45 37 171 272 294 424 189 361 93 150 30 41 15 15 12 15 14 3China, Hong Kong SAR 3 1 3 3 8 10 1 5 4 1 2China, Macao SAR 31 20Japan 1 97 130 2 121 13 87 17 80 7 81 2 58 25 1 12 7 1 2Lao People's Democratic Republic

Malaysia 3Mongolia

New Zealand 1 1Papua New Guinea

Philippines

Republic of Korea 1 1 1 1 1Singapore

Viet Nam

Pacific island countries and areas

Country/area Feb Mar AprDec Jan OctMay Jun Jul Aug

20192018

Sep Nov

The boundaries and names shown and the designations used on the maps do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted lines on maps represent approximate border lines for which there may not yet be full agreement. © WHO Regional Office for the Western Pacific 2019. All rights reserved.

Page 10: Volume 13 • Issue 12 • December 2019 ISSN 1814 3601 · Philippines1 - 5 285 144 11 3 018 1 947 60.0% 6 604 248 13 4 880 1 463 77.8% Republic of Korea 2014 19 4 4 0 11 42.1% 188

Table 9A. Completeness and timeliness of epidemiologic reporting, WHO Western Pacific Region, 2018—2019

Table 9B. Completeness and timeliness of laboratory reporting, WHO Western Pacific Region, 2018—2019

Vaccine-Preventable Diseases and Immunization Regional Office for the Western Pacific

World Health Organization

P.O. Box 2932, 1000 Manila, PhilippinesTel. No. (63 2) 85288001

Fax No. (63 2) 85211036, 85260279Please send your comments and monthly data before the 10th of the month to: [email protected]

More detailed information available in theRegional and country profile of measles elimination

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov

Australia 100% 92% 08 Feb 08 Mar 10 Apr 10 May 07 Jun 05 Jul 08 Aug 10 Sep 09 Oct 08 Nov 11 Dec 100% 91%

Brunei Darussalam 100% 100% 06 Feb 07 Mar 02 Apr 06 May 04 Jun 04 Jul 05 Aug 03 Sep 07 Oct 05 Nov 03 Dec 100% 100%

Cambodia 100% 100% 10 Feb 10 Mar 10 Apr 10 May 10 Jun 10 Jul 10 Aug 10 Sep 10 Oct 10 Nov 10 Dec 100% 100%

China 100% 83% 18 Feb 11 Mar 15 Apr 29 May 11 Jun 28 Jul 13 Aug 28 Sep 28 Oct 23 Nov 24 Dec 100% 36%

China, Hong Kong SAR 100% 100% 08 Feb 08 Mar - 08 May 10 Jun 08 Jul 06 Aug 09 Sep 08 Oct 08 Nov 09 Dec 91% 91%

China, Macao SAR 100% 100% 08 Feb 08 Mar 10 Apr 09 May 10 Jun 09 Jul 07 Aug 09 Sep 09 Oct 08 Nov 03 Dec 100% 100%

Japan 100% 92% 10 Feb 10 Mar 10 Apr 10 May 10 Jun 13 Jul 10 Aug 15 Sep 09 Oct 18 Nov 12 Dec 100% 73%

Lao People's Democratic Republic 100% 100% 10 Feb 10 Mar 10 Apr 10 May 10 Jun 10 Jul 10 Aug 10 Sep 10 Oct 10 Nov 10 Dec 100% 100%

Malaysia 100% 100% 10 Feb 10 Mar 10 Apr 09 May 10 Jun 10 Jul 09 Aug 06-Sep 10 Oct 10 Nov 11 Dec 100% 91%

Mongolia 100% 100% 10 Feb 10 Mar 10 Apr 10 May 10 Jun 10 Jul 10 Aug 10 Sep 10 Oct 10 Nov 10 Dec 100% 100%

New Zealand 100% 100% 08 Feb 07 Mar 10 Apr 10 May 10 Jun 10 Jul 09 Aug 10 Sep 10 Oct 08 Nov 10 Dec 100% 100%

Papua New Guinea 58% 17% - 28 Mar - 10 May 11 Jun 11 Jul - 17 Sep 15 Oct 10 Nov 11 Dec 73% 18%

Philippines 83% 8% 26 Feb - - 23 May - 03 Jul 30 Aug 20 Sep 31 Oct - 26 Dec 64% 18%

Republic of Korea 100% 67% - 13 Mar 14 Apr 21 May 11 Jun 25 Jul 21 Aug 11 Sep 10 Oct 10 Nov 10 Dec 91% 27%

Singapore 100% 100% 08 Feb 08 Mar 10 Apr 09 May 06 Jun 08 Jul 06 Aug 09 Sep 10 Oct 08 Nov 09 Dec 100% 100%

Viet Nam 100% 92% - 08 Mar 07 Apr 07 May 10 Jun 10 Jul 10 Aug 10 Sep 10 Oct 10 Nov 10 Dec 91% 91%

Pacific island countries and areas 100% 92% 14 Feb 18 Mar 15 Apr 15 May 14 Jun 15 Jul 15 Aug 13 Sep 15 Oct 17 Nov 15 Dec 100% 91%

Completeness 97% 82% 94% 82% 100% 94% 100% 94% 100% 100% 94% 100% 95%

Timeliness 85% 71% 76% 76% 82% 82% 76% 82% 76% 82% 82% 65% 78%1 National measles surveillance monthly reports from November 2019. Legend: black = timely report; red = untimely report

Completeness 2 Timeliness 3

3 Countries and areas should submit reports by the 10th (or the next working day) of the following month; Pacific island countries and areas and China may report to the Regional Office by the 15th (or the next working day) of the following month.

2 Completeness is defined as the number of reports received by the end of the reporting month divided by the number of expected reports for the year.

Country2019 12018 1

Completeness 2 Timeliness 3

MeaNSSubmission to

WPRORubens

Submission to WPRO

Australia 100% 92% 07 Feb 01 Mar 05 Apr 06 May 04 Jun 03 Jul 01 Aug 06 Sep 03 Oct 06 Nov 09 Dec 100% 100% 182 139 0 0

Brunei Darussalam 100% 83% 31 Jan 07 Mar 01 Apr 02 May 30 May 29 Jun 31 Jul 04 Sep 09 Oct 02 Nov 02 Dec 100% 100% 1 1 0 0

Cambodia 100% 92% 10 Feb 10 Mar 10 Apr 10 May 10 Jun 10 Jul 10 Aug 10 Sep 10 Oct 10 Nov 10 Dec 100% 100% 107 0 0 0

China 100% 100% 10 Feb 05 Mar 08 Apr 06 May 03 Jun 10 Jul 05 Aug 06 Sep 08 Oct 07 Nov 09 Dec 100% 100% 216 224 1739 2238

China, Hong Kong SAR 100% 100% 04 Feb 07 Mar 10 Apr 08 May 06 Jun 08 Jul 07 Aug 09 Sep 08 Oct 06 Nov 09 Dec 100% 100% 115 82 28 39

China, Macao SAR 100% 100% 09 Feb 08 Mar 10 Apr 10 May 10 Jun 10 Jul 09 Aug 10 Sep 10 Oct 09 Nov 06 Dec 100% 100% 32 29 51 40

Japan 100% 92% 10 Feb 10 Mar 10 Apr 10 May 10 Jun 13 Jul 10 Aug 15 Sep 09 Oct 18 Nov 12 Dec 100% 64% 286 526 464 744

Lao People's Democratic Republic 100% 100% 10 Feb 10 Mar 10 Apr 10 May 10 Jun 10 Jul 10 Aug 10 Sep 10 Oct 10 Nov 10 Dec 100% 100% 15 0 0 0

Malaysia 100% 75% 10 Feb 10 Mar 10 Apr 13 May 07 Jun 10 Jul 08 Aug 09 Sep 11 Oct 10 Nov 06 Dec 100% 82% 35 0 3 0

Mongolia 100% 100% 10 Feb 10 Mar 10 Apr 10 May 10 Jun 10 Jul 10 Aug 10 Sep 10 Oct 10 Nov 10 Dec 100% 100% 0 0 0 0

New Zealand 100% 100% 08 Feb 07 Mar 10 Apr 10 May 10 Jun 10-Jul 09 Aug 10 Sep 10 Oct 08 Nov 10 Dec 100% 100% 206 313 1 2

Papua New Guinea 100% 92% - 12 Mar 08 Apr 09 May 07 Jun 08 Jul 06 Aug 10 Sep 03 Oct - 02 Dec 82% 73% 0 0 0 0

Philippines 100% 92% 08 Feb 12 Mar 10 Apr - 10 Jun 08 Jul 09 Aug 09 Sep 09 Oct 10 Nov 10 Dec 91% 82% 87 60 0 0

Republic of Korea 100% 100% 09 Feb 08 Mar 10 Apr 10 May 07 Jun 09 Jul 09 Aug 10 Sep 10 Oct 08 Nov 10 Dec 100% 100% 0 183 1 5

Singapore 100% 100% 08 Feb 08 Mar 10 Apr 09 May 06 Jun 08 Jul 06 Aug 09 Sep 10 Oct 06 Nov 09 Dec 100% 100% 113 119 0 0

Viet Nam national lab (Northern) 100% 100% 01 Feb 05 Mar 11 Apr 09 May 06 Jun 22 Jul 10 Aug 10 Sep 10 Oct 10 Nov 10 Dec 100% 91% 105 11 0 0

Viet Nam national lab (Southern) 100% 100% 10 Feb 08 Mar 08 Apr 09 May 06 Jun 05 Jul 09 Aug 10 Sep 08 Oct 10 Nov 10 Dec 100% 100% 8 0 0 0

Viet Nam subnational lab (Central) 100% 100% 10 Feb 05 Mar 11 Apr 09 May 06 Jun 22 Jul 10 Aug 10 Sep 10 Oct 10 Nov 10 Dec 100% 91% 0 0 0 0

Viet Nam subnational lab (Highland) 100% 100% 10 Feb 05 Mar 11 Apr 09 May 06 Jun 22 Jul 10 Aug 09 Sep 10 Oct 10 Nov 10 Dec 100% 91% 9 0 0 0

Fiji 100% 83% 14 Feb 18 Mar 15 Apr 15 May 14 Jun 15 Jul 15 Aug 13 Sep 15 Oct 18 Nov 15 Dec 100% 91% 0 0 0 0

Completeness 100% 95% 100% 100% 95% 100% 100% 100% 100% 100% 95% 100% 99%

Timeliness 95% 95% 85% 100% 90% 95% 80% 100% 95% 95% 90% 95% 93%1 National measles laboratory monthly reports from November 2019.

2 Completeness is defined as the number of reports received by the end of the reporting month divided by the number of expected reports for the year.

3 National measles and rubella laboratories should submit monthly reports by the 10th (or the next working day) of the following month.

Country/area

2018 1

Completeness 2 Timeliness 3 Aug Sep Measles Rubella

2019 1

Jan Feb Mar Apr May Jun Jul

1517 1687 2287 3068

Oct Nov Completeness 2 Timeliness 3

Genotype results by source of data