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Volume 13 • Issue 3 • March 2019 ISSN 1814 3601 Table 1. Numbers of confirmed and total (confirmed and compatible) measles cases by month of rash onset, September 2018–February 2019, WHO Western Pacific Region Source: Case based and aggregate data reports to the Western Pacific Regional Office by 20 March 2019 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 2009. All rights reserved Source: Measles and rubella monthly country reports to the Western Pacific Regional Office by 20 March 2019 No cases <1 per million population Legend: *Map of Australia is from the Australian Bureau of Statistics Figure 1. Incidence rate of measles cases with rash onset 1–28 February 2019, WHO Western Pacific Region 1.0-10.0 per million population >10.0 per million population No data submitted/cases pending classification No geographical distribution information available Pacific island countries and areas 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 4 4 3 3 7 7 10 10 24 24 16 16 Brunei Darussalam 0 0 0 0 0 0 1 1 0 0 0 0 Cambodia 0 0 0 0 0 0 1 1 4 4 5 5 China 122 125 139 145 109 165 - - 134 142 96 132 China, Hong Kong SAR 1 1 0 0 1 1 4 4 6 6 1 1 China, Macao SAR 0 0 0 0 0 0 1 1 2 2 2 2 Japan 12 14 29 29 18 18 12 14 135 144 108 116 Lao People's Democratic Republic 0 0 1 1 0 0 0 0 3 3 0 0 Malaysia 130 139 143 147 140 147 99 116 69 80 45 61 Mongolia 0 0 0 0 0 0 0 0 0 0 0 0 New Zealand 0 0 0 0 4 4 2 2 11 12 8 8 Papua New Guinea 0 0 0 0 0 0 0 0 0 0 0 0 Philippines 2 345 1185 508 1143 537 1494 142 720 105 948 - - Republic of Korea 0 0 0 0 2 2 6 6 25 37 0 0 Singapore 0 1 1 1 4 4 0 0 13 13 17 17 Viet Nam 121 149 156 185 108 121 19 23 152 159 184 191 Pacific island countries and areas 0 0 0 0 0 0 0 0 0 0 0 0 Western Pacific Region 735 1618 980 1654 434 996 297 898 683 1574 482 549 "-" No data 1 Reports only confirmed cases 2 Measles burden in end 2018 and 2019 is underrepresented due to lack of submission of data. Jan 2019 Nov Dec 2018 Oct Feb Sep Country/area

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Page 1: Volume 13 • Issue 3 • March 2019 ISSN 1814 3601 Figure 1. … · 2020-01-29 · Cambodia 0 0 0 0 0 0 1 1 4 4 5 5 China 122 125 139 145 109 165 - - 134 142 96 132 China, ... Republic

Volume 13 • Issue 3 • March 2019 ISSN 1814 3601

Table 1. Numbers of confirmed and total (confirmed and compatible) measles cases by month of rash onset, September 2018–February 2019, WHO Western Pacific Region

Source: Case based and aggregate data reports to the Western Pacific Regional Office by 20 March 2019

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 2009. All rights reserved

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

No cases

<1 per million population

Legend:

*Map of Australia is from the Australian Bureau of Statistics

Figure 1. Incidence rate of measles cases with rash onset 1–28 February 2019, WHO Western Pacific Region

1.0-10.0 per million population

>10.0 per million population

No data submitted/cases pending

classification

No geographical distribution

information available

Pacific island countries and areas

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 4 4 3 3 7 7 10 10 24 24 16 16

Brunei Darussalam 0 0 0 0 0 0 1 1 0 0 0 0

Cambodia 0 0 0 0 0 0 1 1 4 4 5 5

China 122 125 139 145 109 165 - - 134 142 96 132

China, Hong Kong SAR 1 1 0 0 1 1 4 4 6 6 1 1

China, Macao SAR 0 0 0 0 0 0 1 1 2 2 2 2

Japan 12 14 29 29 18 18 12 14 135 144 108 116

Lao People's Democratic Republic 0 0 1 1 0 0 0 0 3 3 0 0

Malaysia 130 139 143 147 140 147 99 116 69 80 45 61

Mongolia 0 0 0 0 0 0 0 0 0 0 0 0

New Zealand 0 0 0 0 4 4 2 2 11 12 8 8

Papua New Guinea 0 0 0 0 0 0 0 0 0 0 0 0

Philippines2 345 1185 508 1143 537 1494 142 720 105 948 - -

Republic of Korea 0 0 0 0 2 2 6 6 25 37 0 0

Singapore 0 1 1 1 4 4 0 0 13 13 17 17

Viet Nam 121 149 156 185 108 121 19 23 152 159 184 191

Pacific island countries and areas 0 0 0 0 0 0 0 0 0 0 0 0

Western Pacific Region 735 1618 980 1654 434 996 297 898 683 1574 482 549

"-" No data1 Reports only confirmed cases2 Measles burden in end 2018 and 2019 is underrepresented due to lack of submission of data.

Jan

2019

Nov Dec

2018

Oct FebSepCountry/area

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

* Measles burden in end 2018 and 2019 is underrepresented due to lack of submission of data from Philippines.

Source: Measles and rubella monthly country reports to WHO by 20 March 2019

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

2

Source: Measles and rubella monthly country reports to WHO by 20 March 2019

0

5 000

10 000

15 000

20 000

25 000

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

Oct

Nov

Dec

Jan

Feb

2014 2015 2016 2017 2018 2019

Nu

mb

er

of

me

asle

s c

ase

s

China Malaysia Mongolia Papua New Guinea Philippines Viet Nam Others

ImportedImport-

relatedEndemic

Unknown

/ not

reported

ImportedImport-

relatedEndemic

Unknown

/ not

reported

Australia 2014 101 54 38 0 9 91.1% 41 25 8 0 8 80.5%

Brunei Darussalam 2015 1 1 0 0 0 100.0% 0 - - - - -

Cambodia 2015 3 0 0 0 3 0.0% 19 0 0 0 19 0.0%

China - 3 945 0 0 0 3 945 0.0% 230 0 0 0 230 0.0%

China, Hong Kong SAR 2016 16 7 0 0 9 43.8% 7 6 0 0 1 85.7%

China, Macao SAR 2014 3 2 0 0 1 66.7% 4 2 2 0 0 100.0%

Japan 2015 268 36 189 0 43 84.0% 243 35 138 0 70 71.2%

Lao People's Democratic Republic - 10 0 0 0 10 0.0% 3 0 0 0 3 0.0%

Malaysia - 1 861 6 0 1 375 480 74.2% 114 1 0 90 23 79.8%

Mongolia - 0 - - - - - 2 0 0 0 2 0.0%

New Zealand 2017 32 2 0 0 30 6.3% 19 3 1 1 14 26.3%

Papua New Guinea - 10 0 0 0 10 0.0% 0 - - - - -

Philippines1- 5 120 144 11 3 018 1 947 62.0% 105 2 0 72 31 70.5%

Republic of Korea 2014 19 4 4 0 11 42.1% 35 8 25 0 2 94.3%

Singapore 2018 33 8 1 0 24 27.3% 30 11 1 0 18 40.0%

Viet Nam - 913 0 0 0 913 0.0% 418 0 0 0 418 0.0%

Pacific island countries and areas - 0 - - - - - 0 - - - - -

Total 12 335 264 243 4 393 7 435 39.7% 1 270 93 175 163 839 33.9%

1 Measles burden in end 2018 and 2019 is underrepresented due to lack of submission of data. Blue No measles cases

Green ≥80%

Yellow 60–79%

Red <60%

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

Country/areaYear

verified

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

3

Clinically

compatibleLab 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 0 31-Dec-18 25.1 41 0 0 0 39 2 41 9.8 0 31-Jan-19

Brunei Darussalam 4 9.6 1 2.4 0 0.0 1 2.3 0 7-Aug-16 0.4 2 0 2 0 0 0 0 0.0 0 7-Aug-16

Cambodia 18 372 1183.9 56 3.6 10 0.6 3 0.2 0 29-Dec-19 16.5 253 42 192 0 19 0 19 6.9 0 17-Mar-19

China 42 864 30.7 24 839 17.7 5 993 4.3 4 060 2.9 1 31-Dec-18 1420.1 3 887 384 1 884 44 230 0 274 1.2 0 28-Feb-19

China, Hong Kong SAR 18 2.5 9 1.2 4 0.5 16 2.2 0 29-Dec-19 7.5 13 0 1 0 7 0 7 5.6 0 22-Feb-19

China, Macao SAR 0 0.0 0 0.0 2 3.2 3 4.7 0 19-Dec-18 0.6 9 0 5 0 4 0 4 37.4 0 23-Feb-19

Japan 35 0.3 157 1.2 187 1.5 279 2.2 0 28-Dec-19 126.9 800 94 446 17 243 0 260 12.3 0 27-Feb-19

Lao People's Democratic Republic 56 8.4 8 1.2 3 0.4 10 1.4 0 25-Oct-18 7.1 265 100 162 0 2 1 3 2.5 0 16-Jan-19

Malaysia 1 318 42.9 1 587 50.9 1 648 52.1 1 934 60.4 0 31-Dec-18 32.5 1 557 396 1 020 27 113 1 141 26.1 5 24-Feb-19

Mongolia 20 374 6844.1 28 813 9517.4 9 2.9 1 0.3 0 5-May-17 3.2 73 43 28 0 2 0 2 3.8 0 4-Mar-19

New Zealand 13 2.8 104 22.3 15 3.2 32 6.7 0 28-Dec-19 4.8 22 2 0 1 18 1 20 25.0 0 27-Feb-19

Papua New Guinea 53 6.7 0 0.0 7 0.8 10 1.2 0 6-Aug-18 8.6 2 2 0 0 0 0 0 0.0 0 6-Aug-18

Philippines4 2 003 19.7 641 6.2 1 224 11.7 18 405 172.8 59 29-Dec-18 108.1 1 820 854 10 851 94 11 956 53.1 1 23-Jan-19

Republic of Korea 7 0.1 18 0.4 7 0.1 19 0.4 0 23-Dec-19 51.3 283 0 246 2 35 0 37 4.3 0 23-Dec-19

Singapore 45 8.1 157 27.9 81 14.2 37 6.4 0 18-Nov-18 5.9 39 0 9 0 30 0 30 30.7 0 25-Feb-19

Viet Nam 884 9.4 368 3.9 588 6.2 1 249 12.9 1 24-Dec-19 97.4 1 685 1 112 134 21 418 0 439 27.0 1 17-Mar-19

Pacific island countries and areas5 20 6.2 6 1.8 1 0.3 0 0.0 0 1-May-17 3.4 13 0 13 0 0 0 0 0.0 0 1-May-17

Fiji 1 1.1 5 5.6 1 1.1 0 0.0 0 1-May-17 0.9 13 0 13 0 0 0 0 0.0 0 1-May-17

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

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

Western Pacific Region 67 768 36.0 56 868 30.1 9 860 5.2 26 160 13.7 61 1919.2 10 764 3 029 4 152 963 1 254 16 2 233 7.0 7

1 Includes clinically compatible, laboratory confirmed and epi-linked confirmed cases Green

2 United Nations, Department of Economic and Social Affairs, Population Division World Population Prospects 2017 revision. Yellow

3 Australia reports confirmed cases only. Red

4 Measles burden in end 2018 and 2019 is underrepresented due to lack of submission of data.

5 Classification is provisional based on laboratory data only.

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

Rash onset of

last confirmed

measles caseDeaths due

to measles

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

Measles

incidence

per

1 million

pop.

Total

confirmed

and

clinically

compatible1

Measles

incidence

per

1 million

pop.

2015

Country/area

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

2 2 2 4

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 5.3Not applicable

100.0% 100.0% 2.7 Not available 100.0% 100.0%

Cambodia 6.7 84.0% 83.4% 99.5% 7.0 68.0% 86.6% 100.0%

China 2.2 58.1% 97.5% 92.3% 0.8 9.7% 94.2% 84.0%

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

China, Macao SAR 4.6 Not applicable 78.1% 100.0% 4.7 Not applicable 88.9% 100.0%

Japan 1.1 6.4% Insufficient data Insufficient data 2.1 0.0% Insufficient data Insufficient data

Lao People's Democratic Republic 11.5 88.2% 89.1% 89.0% 13.8 58.8% 96.6% 96.6%

Malaysia 25.2 93.8% 91.9% 89.8% 18.9 93.8% 84.3% 87.5%

Mongolia 8.5 50.0% 98.1% 96.2% 5.3 18.2% 100.0% 100.0%

New Zealand 0.3 Insufficient data Insufficient data Insufficient data 0.0 Insufficient data Insufficient data Insufficient data

Papua New Guinea 0.5 5.0% 74.1% 90.7% 0.0 0.0% 100.0% 0.0%

Philippines 0.9 5.6% 65.5% 58.2% 0.1 0.0% 55.6% 47.9%

Republic of Korea 1.3 6.3% 78.4% 95.3% 2.9 37.5% 64.7% 62.2%

Singapore 1.3 Not applicable 89.7% 69.0% 0.9 Not applicable 84.6% 87.2%

Viet Nam 1.0 22.2% 83.3% 83.1% 0.8 19.0% 70.1% 65.4%

Pacific island countries and areas4

2.6 5.0% 48.8% 82.6% 2.3 10.0% 38.5% 69.2%

Western Pacific Region 9.4 34.2% 87.1% 84.0% 8.5 23.4% 80.6% 75.2%

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% ≥ 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

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Clinically

compatible

cases

Lab Epi-linked

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

Brunei Darussalam 0 0.0 0 0.0 0 0.0 0 0.0 0.44 2 0 2 0 0 0 0 0.0 -

Cambodia 18 1.2 4 0.3 7 0.4 3 0.2 16.48 253 42 205 0 6 0 6 2.2 -

China 8 245 5.9 4 476 3.2 1 601 1.1 3 902 2.8 1 420.06 3 887 384 1 884 129 1 147 69 1 345 5.7 -

China, Hong Kong SAR 12 1.7 3 0.4 1 0.1 11 1.5 7.49 5 0 0 0 5 0 5 4.0 -

China, Macao SAR 2 3.3 1 1.6 0 0.0 1 1.6 0.64 9 0 8 0 1 0 1 9.3 -

Japan3 2 0.0 3 0.0 5 0.0 68 0.5 126.85 1 033 125 279 41 588 0 629 29.8 -

Lao People's Democratic Republic 24 3.6 40 5.9 12 1.7 15 2.2 7.06 300 277 23 0 0 0 0 0.0 -

Malaysia 34 1.1 68 2.2 113 3.6 180 5.6 32.45 1 573 396 1 169 0 8 0 8 1.5 -

Mongolia 28 9.4 27 8.9 13 4.2 1 0.3 3.17 30 0 29 0 1 0 1 1.9 -

New Zealand - - - - - - - - 4.79 0 - - - - - - - -

Papua New Guinea 4 0.5 2 0.2 1 0.1 1 0.1 8.59 2 2 0 0 0 0 0 0.0 -

Philippines 154 1.5 165 1.6 448 4.3 129 1.2 108.11 1 820 854 965 0 1 0 1 0.1 -

Republic of Korea 2 0.0 3 0.1 2 0.0 0 0.00 51.34 23 0 23 0 0 0 0 0.0 -

Singapore 1 0.2 0 0.0 3 0.5 16 2.8 5.87 8 0 8 0 0 0 0 0.0 -

Viet Nam 972 10.4 350 3.7 126 1.3 102 1.1 97.43 1 687 1 280 319 2 2 0 4 0.2 -

Pacific island countries and areas2 1 0.3 1 0.3 4 1.2 0 0.0 3.36 13 0 13 0 0 0 0 0.0 -

Fiji 1 1.1 1 1.1 4 4.4 0 0.0 0.92 13 0 13 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 1 253 0.7 667 0.4 2 336 1.2 4 429 2.3 1919.23 10 645 3 360 4 927 172 1 759 69 2 000 6.3 -

1 United Nations, Department of Economic and Social Affairs, Population Division World Population Prospects 2017 revision Green <1 confirmed measles case / 1 000 000 population

2 Classification is provisional based on laboratory data only. Yellow 1–9.9 confirmed measles case / 1 000 000 population

3 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

Total

confirmed

and

clinically

compatible

Rubella

incidence per

1 million pop.

Rubella casesTotal

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

Total

confirmed

and

clinically

compatible

Rubella

incidence per

1 million pop.

2015

Total

confirmed

and

clinically

compatible

Rubella

incidence per

1 million pop.

2017 2018

Country/area

2016

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

5

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

6

No. No. % No. %No.

receivedNo. (+)

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%

"-" No data

Samples tested for rubella IgM

Rubella IgM (+)Rubella

IgM equivDBS 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

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

Country/area Laboratory

Measles and rubellaMeasles Rubella

Serology

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

7

No. No. % No. %No.

receivedNo. (+)

No. of samples tested

No. of isolates

No. of samples tested

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

Australia VIDRL 23 23 22 2 1 - 0 - 0 - - 2 0 21 21 21 0 - - - -

Brunei Darussalam DLS 2 2 2 2 0 - 0 - 0 - - 0 - 0 - 0 2 0 - 0 -

Cambodia NIPH 219 219 219 196 14 7.1 0 0% 9 0 79.4 0 - 0 - 14 205 6 3% 0 0%

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

China, Hong Kong SAR PHLC 95 95 66 55 5 9.1 1 2% 0 - 94.5 6 3 33 8 7 44 5 11% 0 0%

China, Macao SAR PHL 33 33 33 33 6 18.2 0 0% 0 - 100.0 0 - 5 3 6 33 2 6% 0 0%

Japan NIID 2 676 2 601 1 552 136 77 56.6 5 4% 0 - No data 0 - 579 233 269 218 173 79% 2 1%

Lao People's Democratic Republic NCLE 207 207 207 205 6 2.9 3 1% 0 - 80.0 0 - 0 - 6 207 1 0% 6 3%

Malaysia NPHL 2 747 2 747 1 856 1 787 200 11.2 48 3% 0 - 30.1 0 - 0 - 201 1 498 55 4% 32 2%

Mongolia NCCD 72 72 72 70 2 2.9 0 0% 0 - 100.0 0 - 0 - 2 71 0 0% 0 0%

New Zealand CHL 73 73 58 20 7 35.0 0 0% 0 - 90.0 0 - 52 16 18 15 2 13% 1 7%

Papua New Guinea CPHL 2 2 2 2 0 - 0 - 0 - 100.0 0 - 0 - 0 2 0 - 0 -

Philippines RITM 9 403 1 358 1 358 8 934 1 044 11.7 12 0% 0 24.5 0 - 1 014 846 1 730 7 890 15 0% 13 0%

Republic of Korea KCDC 1 246 1 246 796 599 67 11.2 35 6% 0 - 71.5 0 - 671 108 130 113 10 9% 15 13%

Singapore NPHL 62 62 62 10 2 20.0 0 0% 0 - 100.0 23 6 90 23 31 10 0 0% 1 10%

Viet Nam national lab (Northern) NIHE 266 266 256 221 186 84.2 1 0% 0 - 100.0 28 0 45 27 207 35 0 0% 0 0%

Viet Nam national lab (Southern) PI 703 703 703 701 561 80.0 8 1% 0 - 87.7 2 0 2 0 561 277 3 1% 4 1%

Viet Nam subnational lab (Central) PI 106 106 106 106 82 77.4 0 0% 0 - 73.6 0 - 0 - 82 104 0 0% 0 0%

Viet Nam subnational lab (Highland) IHE 280 280 280 280 252 90.0 2 1% 0 - 91.4 0 - 0 - 252 280 0 0% 1 0%

Fiji FCCDC 16 11 11 10 0 0.0 1 10% 0 - No data 0 - 0 - 0 10 0 0% 0 0%

Total 18 231 10 106 7 661 13 369 2 512 18. 8 116 1% 9 0 47.2 61 9 2 512 1 285 3 537 11 014 272 2% 75 1%

"-" No data

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

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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 March 2018 to February 2019, WHO Western Pacific Region

8

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 2009. All rights reserved.

2019

Sources: Includes all cases reported to the Western Pacific Regional Office by 20 March 2019 and the Measles Nucleotide Surveillance online database (MeaNS).

B3

D4

D8

D9

D11

G3

H1

2018

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 11 10 13 2 2 1 3 1 1 1 6 3 2 1 1 1 1 3 7 3 10 8 1Brunei Darussalam 1Cambodia 4China 6 82 1 49 1 43 16 2 11 9 1 1 2 2 2China, Hong Kong SAR 1 1 2 1 2 1 1 1 2 5 1China, Macao SAR 1 1 2 1Japan 10 12 2 32 3 9 2 9 7 3 2 3 1 5 1 12 2 8 83 9 27Lao People's Democratic RepublicMalaysia 17 5 12 6 11 7 8 13 12 6 7 8 3 7 6 8 9 13 3 10 2MongoliaNew Zealand 2 8 1 2 3 1 8 2Papua New GuineaPhilippines 35 3 5 11 10 9 21 24 14Republic of Korea 2 5 2 3 1 25 36Singapore 2 2 1 3 1 2 1 2 1 3 3 4 4 11Viet Nam 5 39 17 22 13 1 11 32 4Pacific island countries and areas

Country/area May Jan2019

Jun Jul Aug Sep Oct Nov Dec2018

FebMar Apr

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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 1JAustralia 1Brunei DarussalamCambodiaChina 7 2 11 4 14 8 3 3 1 2 1 3 2 3 1 9China, Hong Kong SAR 1 1 1 1 1 3China, Macao SAR 1Japan 2 1 4 1 6 26 1 95 93 59 1 79 36Lao People's Democratic RepublicMalaysiaMongoliaNew Zealand 1Papua New GuineaPhilippines 1 3 1Republic of Korea 1Singapore 1 6 2Viet NamPacific island countries and areas

Country/area Mar Jun Aug20192018

Oct Nov FebSepJulApr May Dec Jan

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 March 2018 to February 2019, WHO Western Pacific Region

9 Sources: Includes all cases reported to the Western Pacific Regional Office by 20 March 2019 and the Rubella Nucleotide Surveillance online database (RubeNS).

2B

1E

2018 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 2009. All rights reserved.

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10

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

Expanded Programme on Immunization

Regional Office for the Western Pacific

World Health Organization

P.O. Box 2932, 1000 Manila, Philippines

Tel. No. (63 2) 5288001

Fax No. (63 2) 5211036, 5260279

Please send your comments and monthly data before the 10th of the month to:

[email protected]

More detailed information available in the Regional and country profile of measles elimination

MeaNSSubmission to

WPRORubens

Submission

to WPRO

Australia 100% 92% 07 Feb 01 Mar 100% 100% 22 17 0 0

Brunei Darussalam 100% 83% 31 Jan 07 Mar 100% 100% 0 0 0 0

Cambodia 100% 92% 10 Feb 10 Mar 100% 100% 4 0 0 0

China 100% 100% 10 Feb 05 Mar 100% 100% 0 0 9 0

China, Hong Kong SAR 100% 100% 04 Feb 07 Mar 100% 100% 5 6 3 4

China, Macao SAR 100% 100% 09 Feb 08 Mar 100% 100% 3 3 0 0

Japan 100% 92% 10 Feb 10 Mar 100% 100% 28 127 0 116

Lao People's Democratic Republic 100% 100% 10 Feb 10 Mar 100% 100% 0 0 0 0

Malaysia 100% 75% 10 Feb 10 Mar 100% 100% 2 0 0 0

Mongolia 100% 100% 10 Feb 10 Mar 100% 100% 0 0 0 0

New Zealand 100% 100% 08 Feb 07 Mar 100% 100% 8 10 1 1

Papua New Guinea 100% 92% - 12 Mar 50% 0% 0 - 0 -

Philippines 100% 92% 08 Feb 12 Mar 100% 50% 0 0 0 0

Republic of Korea 100% 100% 09 Feb 08 Mar 100% 100% 0 61 0 1

Singapore 100% 100% 08 Feb 08 Mar 100% 100% 22 21 0 0

Viet Nam national lab (Northern) 100% 100% 01 Feb 05 Mar 100% 100% 0 0 0 0

Viet Nam national lab (Southern) 100% 100% 10 Feb 08 Mar 100% 100% 0 0 0 0

Viet Nam subnational lab (Central) 100% 100% 10 Feb 05 Mar 100% 100% 0 0 0 0

Viet Nam subnational lab (Highland) 100% 100% 10 Feb 05 Mar 100% 100% 0 0 0 0

Fiji 100% 83% 14 Feb 18 Mar 100% 50% 0 0 0 0

Completeness 100% 95% 100% 98%

Timeliness 95% 95% 85% 90%

1 National measles laboratory monthly reports from February 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 3Measles Rubella

2019 1

Jan Feb

94 245 13 122

Completeness 2 Timeliness 3

Genotype results by source of data

Jan Feb

Australia 100% 92% 08 Feb 08 Mar 100% 100%

Brunei Darussalam 100% 100% 06 Feb 07 Mar 100% 100%

Cambodia 100% 100% 10 Feb 10 Mar 100% 100%

China 100% 83% 18 Feb 11 Mar 100% 50%

China, Hong Kong SAR 100% 100% 08 Feb 08 Mar 100% 100%

China, Macao SAR 100% 100% 08 Feb 08 Mar 100% 100%

Japan 100% 92% 10 Feb 10 Mar 100% 100%

Lao People's Democratic Republic 100% 100% 10 Feb 10 Mar 100% 100%

Malaysia 100% 100% 10 Feb 10 Mar 100% 100%

Mongolia 100% 100% 10 Feb 10 Mar 100% 100%

New Zealand 100% 100% 08 Feb 07 Mar 100% 100%

Papua New Guinea 58% 17% - 28 Mar 50% 0%

Philippines 83% 8% 26 Feb - 50% 0%

Republic of Korea 100% 67% - 13 Mar 50% 0%

Singapore 100% 100% 08 Feb 08 Mar 100% 100%

Viet Nam 100% 92% - 08 Mar 50% 0%

Pacific island countries and areas 100% 92% 14 Feb 18 Mar 100% 50%

Completeness 97% 82% 94% 88%

Timeliness 85% 71% 76% 71%

1 National measles surveillance monthly reports from February 2019. Legend: black = timely report; red = untimely report

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 1

Completeness 2 Timeliness 3

2018 1

Completeness 2 Timeliness 3