South Sudan IDSR Annex - W49 2017 Dec 4-Dec 1011 W49 2017 (Dec 04-Dec 10) Map 7 | Map of bloody...

South Sudan

Ministry of Health

Republic of South SudanPrinted: 22:25 Saturday, 16 December 2017 UTC

Integrated Disease Surveillance and

Response (IDSR)

Annexes W49 2017 (Dec 04-Dec 10)

Access and Utilisation

Slide 2 Map 1 Map of consultations by county (2017)

Indicator-based surveillance

Slide 3 Figure 1 Proportional mortality

Slide 4 Figure 2 Proportional morbidity

Slide 5 Figure 3 Trend in consultations and key diseases

Disease trends and maps

Malaria

Slide 6 Trend in malaria cases over time

Slide 7 Malaria maps and alert management

Acute Watery Diarrhoea (AWD)

Slide 8 Trend in AWD cases over time

Slide 9 AWD maps and alert management

Bloody diarrhoea

Slide 10 Trend in bloody diarrhoea cases over time

Slide 11 Bloody diarrhoea maps and alert management

Measles

Slide 12 Trend in measles cases over time

Slide 13 Measles maps and alert management

Sources of data

1. Weekly IDSR Reporting Form

2. Weekly EWARS Reporting Form

Contents

1 W48 2017 (Nov 27-Dec 03)

Map 1 | Map of total consultations by county (W49 2017)

Number of consultations

0 1 1,000 2,500 5,000

Hub W49 2017

South Sudan 95,765 6,606,602

Access and Utilisation | Map of consultations by county

2 W49 2017 (Dec 04-Dec 10)

Nyirol

Uror

Ayod

Rubkona

Fashoda

Mayendit

Panyijiar

Yirol West

LongechukFangak

Aweil Centre

Aweil SouthGogrial West

Aweil East

Ezo

Abyei

Nzara

Gogrial East

Pibor

Maiwut

Nagero

Mvolo

Wau

Canal PigiTwic

Morobo

Panyikang

Lopa Lafon

Kapoeta South

Kapoeta East

Kajo Keji

Kapoeta North

Maridi

Terekeka

Tonj South

Jur River

Akobo

Yambio

Pariang

Yirol East

Cueibet

Mundri East

Tonj East

Lainya

Tonj North

Abiemnhom

Mayom

Aweil North

YeiBudi

Magwi

Ulang

Aweil West

Twic EastRumbek Centre

Rumbek North

Manyo

Leer

Mundri West

Malakal

Luakpiny Nasir

TamburaWulu

Guit

Torit

Bor

Rumbek East

Juba

Ibba

Awerial

Pochalla

Koch

Baliet

Duk

Renk

Ikotos

Raja

Maban

Melut

Aweil 8,179 770,866

Bentiu 9,115 971,875

Bor 10,373 430,193

Juba 3,398 503,659

Kwajok 10,488 862,575

Malakal 6,235 760,708

Rumbek 22,561 811,329

Torit 1,788 368,130

Wau 10,219 621,171

Yambio 13,409 506,096

Figure 3 | Trend in total consultations and key diseases (W39)

Total consultations

Malaria

Acute Respiratory Infection (ARI)

Acute Watery Diarrhoea

Acute Jaundice Syndrome (AJS)

Measles

Trend in consultations and key diseases

5 W39 2017 (Sep 25-Oct 01)

Num

ber

W39 2

016

W44 2

016

W48 2

016

W52 2

016

W05 2

017

W09 2

017

W13 2

017

W18 2

017

W22 2

017

W26 2

017

W31 2

017

W35 2

017

W39 2

017

0

25000

50000

75000

100000

125000

150000

175000

200000

225000

250000

275000

IDSRtrendsinabsolutecountsFigure 3 | Trend in total consultations and key diseases (W49)

Total consultations

Malaria




Measles


5 W49 2017 (Dec 04-Dec 10)

Num

ber

W52 2

016

W05 2

017

W09 2

017

W13 2

017

W18 2

017

W22 2

017

W26 2

017

W31 2

017

W35 2

017

W39 2

017

W44 2

017

W48 2

017

0

25000

50000

75000

100000

125000

150000

175000

200000


Total consultations

Malaria




Measles


5 W39 2017 (Sep 25-Oct 01)

Num

ber

W39 2

016

W44 2

016

W48 2

016

W52 2

016

W05 2

017

W09 2

017

W13 2

017

W18 2

017

W22 2

017

W26 2

017

W31 2

017

W35 2

017

W39 2

017

0

25000

50000

75000

100000

125000

150000

175000

200000

225000

250000

275000

IDSRProportionatemorbiditytrends

Intherelativelystablestates,malariaisthetopcauseofmorbidityaccountingfor32.5%oftheconsultationsinweek49(representingadeclinefrom45.1inweek46)andacumulative41.1%in2017.Malariahasbeenonthedeclinesinceweek38of2017.

0

20

40

60

80

100

120

140

160

0%

10%

20%

30%

40%

50%

60%

70%

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49

Num

bero

fcon

sulta

tions

Thou

sand

s

Morbidity%

Epidemiologicalweekofreportingin2017

Fig.1|IDSRProportionatemorbiditytrends,week1to49,2017

Consultations Malaria ARI AWD ABD Measles


Total consultations

Malaria




Measles


5 W39 2017 (Sep 25-Oct 01)

Num

ber

W39 2

016

W44 2

016

W48 2

016

W52 2

016

W05 2

017

W09 2

017

W13 2

017

W18 2

017

W22 2

017

W26 2

017

W31 2

017

W35 2

017

W39 2

017

0

25000

50000

75000

100000

125000

150000

175000

200000

225000

250000

275000

IDPProportionatemorbiditytrends

IntheIDPs,ARIsurpassedmalariaasthetopcauseofmorbidityinweek45.HenceARIandmalariaaccountedfor24.6%and18.8%ofconsultationsinweek49.TheothersignificantcausesofmorbidityintheIDPsincludeAWD,skindiseases,andinjuries.

05,00010,00015,00020,00025,00030,00035,00040,00045,00050,000

0% 5%

10% 15% 20% 25% 30% 35% 40% 45%

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

Consultatio

ns

%ofM

obidity

Epiweek2017

Fig.2|IDPProportionatemorbiditytrends,week01-49,2017

Consultations Malaria ARI AWD ABD Measles Skindiseases GSW Injuries


Total consultations

Malaria




Measles


5 W39 2017 (Sep 25-Oct 01)

Num

ber

W39 2

016

W44 2

016

W48 2

016

W52 2

016

W05 2

017

W09 2

017

W13 2

017

W18 2

017

W22 2

017

W26 2

017

W31 2

017

W35 2

017

W39 2

017

0

25000

50000

75000

100000

125000

150000

175000

200000

225000

250000

275000

IDPProportionatemorbiditytrends

ThetopcausesofmorbidityintheIDPsin2017includeARI,malaria,AWD,skindiseases,injuries,andABD.

21.1% 24.0%

7.9%

0.8% 0.02%

3.96%

0.02% 1.60%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

Malaria ARI AWD ABD Measles Skindiseases GSW Injuries

Prop

ortio

natem

orbidity[%

]

CausesofmorbidityamongtheIDPsweeks1to49,2017

Figure 1 | Proportional mortality (2017)

Malaria

Acute Respiratory Infection

(ARI)


Bloody diarrhoea


Measles

Other

Syndrome W49 2017

# deaths % mortality # deaths % mortality

Malaria 8 100.0% 1,172 69.1%

ARI 0 0.0% 40 2.4%

AWD 0 0.0% 90 5.3%

Bloody

diarrhoea

0 0.0% 44 2.6%

AJS 0 0.0% 1 0.1%

Measles 0 0.0% 12 0.7%

Other 0 0.0% 338 19.9%

Total deaths 8 100% 1,697 100%

Proportional mortality

3 W49 2017 (Dec 04-Dec 10)

Acute Watery Diarrhoea | Trends over time

8 W49 2017 (Dec 04-Dec 10)

Figure 5a | Trend in AWD cases over time (South Sudan)

0

5000

2500

7500

10000

12500

15000

17500

20000

Graph legend

2017

− · − · − · − − 2016

− − − − − − − 2015

· · · · · · · · · · 2014

538,306Cases

90Deaths

75Alerts

Key AWD indicators (2017) Figure 5b | % morbidity Figure 5c | Age breakdown

Jan Mar May Jul Sep Nov

Map 4 | Map of AWD cases by county (2017)

a. 2014 b. 2015

c. 2016 d. 2017

Acute Watery Diarrhoea | Maps and Alert Management

9 W49 2017 (Dec 04-Dec 10)

Map 5 | Map of AWD alerts by county (2017)

Map legend

Number of AWD cases

0 1 5,000 10,000 20,000

Number of AWD alerts

0 1 10

Alert threshold

Twice the average number of cases over

the past 3 weeks. Source: IDSR

75Alerts

30Verified

0Low Risk

0Moderate Risk

0High Risk

0Very High Risk

Risk Assessment

Acute Bloody Diarrhoea | Trends over time

10 W49 2017 (Dec 04-Dec 10)

Figure 6a | Trend in bloody diarrhoea cases over time (South Sudan)

0

500

1000

1500

2000

2500

3000

3500

Graph legend

2017

− · − · − · − − 2016

− − − − − − − 2015

· · · · · · · · · · 2014

83,754Cases

44Deaths

137Alerts

Key bloody diarrhoea indicators (2017) Figure 6b | % morbidity Figure 6c | Age breakdown


Map 6 | Map of bloody diarrhoea cases by county(2017)

a. 2014 b. 2015

c. 2016 d. 2017

Acute Bloody Diarrhoea | Maps and Alert Management

11 W49 2017 (Dec 04-Dec 10)

Map 7 | Map of bloody diarrhoea alerts by county (2017)

Map legend

Number of bloody diarrhoea cases

0 1 500 1,000 2,000

Number of alerts

0 1 10

Alert threshold

Twice the average number of cases over the

past 3 weeks. Source: IDSR

137Alerts

59Verified

1Low Risk

0Moderate Risk

0High Risk

0Very High Risk

Risk Assessment

Sincethebeginningof2017,atleast1,177suspectmeaslescasesincludingatleast12deaths(CFR1.02%)havebeenreported.Ofthese,832suspectcaseshaveundergonemeaslescase-basedlaboratory-backedinvestigation.Atleast297sampleshavebeencollected,withatotalof84measlescasesbeinglaboratoryconfirmed,while321casesand240caseswereepidemiologicallyandclinicallyconfirmedrespectively.Consequently,measlesoutbreakswereconfirmedinninecounties– Panyijiar,AweilSouth,GogrialEast,GogrialWest,Wau,Juba,Torit,Yambio,andJurRiver.MeaslesfollowupcampaignimplementedfromMay2017in10statehubswhere1,742,725childrensixto59months(75%)werereachedwithmeaslesvaccine.

Measles | Trends over time

12 W49 2017 (Dec 04-Dec 10)

Figure 7a | Trend in number of cases over time (South Sudan)

0

50

100

150

200

250

300

Graph legend

2017

− · − · − · − − 2016

− − − − − − − 2015

· · · · · · · · · · 2014

1,177Cases

12Deaths

64Alerts

Key measles indicators (2017) Figure 7b | % morbidity Figure 7c | Age breakdown


Map 7 | Map of measles cases by county (2017)

a. 2014 b. 2015

c. 2016 d. 2017

Measles | Maps and Alert Management

13 W49 2017 (Dec 04-Dec 10)

Map 8 | Map of measles alerts by county (2017)

Map legend

Number of measles cases

0 1 50 100 250

Number of measles alerts

0 1 10

Alert threshold

1 case.

Source: IDSR

64Alerts

21Verified

0Low Risk

0Moderate Risk

1High Risk

1Very High Risk

Risk Assessment

Malaria | Trends over time

6 W49 2017 (Dec 04-Dec 10)

Figure 4a | Trend in number of cases over time (South Sudan)

0

20000

40000

60000

80000

100000

120000

Graph legend

2017

− · − · − · − − 2016

− − − − − − − 2015

· · · · · · · · · · 2014

2,404,594Cases

1,172Deaths

75Alerts

Key malaria indicators (2017) Figure 4b | % morbidity Figure 4c | Age breakdown


Map 2 | Map of malaria cases by county (2017)

a. 2014 b. 2015

c. 2016 d. 2017

Malaria | Maps and Alert Management

7 W49 2017 (Dec 04-Dec 10)

Map 3 | Map of malaria alerts by county (2017)

Map legend

Number of malaria cases

0 1 10,000 20,000 50,000

Number of malaria alerts

0 1 10

Alert threshold

Twice the average number of cases

over the past 3 weeks. Source: IDSR

75Alerts

32Verified

1Low Risk

0Moderate Risk

0High Risk

0Very High Risk

Risk Assessment

Malariatrendsbycounty

o At least 3 countries - Awerial, YirolEast, and Twic East continue to registerincreasing trends at or above the thirdquartile.

o The malaria trends in the other 20counties are returning to normal off-transmission season levels.

-

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

Weeks

MalariatrendsforAweilEastCountyin2017

3rdQuartile C-sum 2017

-

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

Weeks

MalariatrendsforAweilNorthCountyin2017


-

500

1,000

1,500

2,000

2,500

3,000

3,500

Weeks

MalariatrendsforAweilSouthCountyin2017


-

500

1,000

1,500

2,000

2,500

Weeks

MalariatrendsforAwerialCountyin2017


-

500

1,000

1,500

2,000

2,500

Weeks

MalariatrendsforYirolEastCountyin2017


-

1,000

2,000

3,000

4,000

5,000

6,000

7,000

Weeks

MalariatrendsforYirolWestCountyin2017



-

500

1,000

1,500

2,000

2,500

Weeks

MalariatrendsforCueibetCountyin2017


-

50

100

150

200

250

300

350

400

450

500

Weeks

MalariatrendsforDukCountyin2017


-

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

4,500

5,000

Weeks

MalariatrendsforGogrialEastCountyin2017


-

200

400

600

800

1,000

1,200

Weeks

MalariatrendsforIkotosCountyin2017


-

500

1,000

1,500

2,000

2,500

3,000

Weeks

MalariatrendsforJurRiverCountyin2017


-

100

200

300

400

500

600

Weeks

MalariatrendsforKapoetaEastCountyin2017


-

100

200

300

400

500

600

700

800

Weeks

MalariatrendsforKapoetaNorthCountyin2017


-

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400

600

800

1,000

1,200

1,400

1,600

Weeks

MalariatrendsforKapoetaSouthCountyin2017



-

200

400

600

800

1,000

1,200

1,400

Weeks

MalariatrendsforRubkonaCountyin2017


-

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8,000

9,000

Weeks

MalariatrendsforRumbekEastCountyin2017


-

200

400

600

800

1,000

1,200

Weeks

MalariatrendsforRumbekNorthCountyin2017


-

200

400

600

800

1,000

1,200

1,400

1,600

1,800

Weeks

MalariatrendsforTerekekaCountyin2017


-

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1,000

1,500

2,000

2,500

3,000

3,500

4,000

4,500

Weeks

MalariatrendsforTonjNorthCountyin2017


-

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1,000

1,500

2,000

2,500

3,000

Weeks

MalariatrendsforTonjSouthCountyin2017


-

100

200

300

400

500

600

Weeks

MalariatrendsforTwicEastCountyin2017


-

200

400

600

800

1,000

1,200

Weeks

MalariatrendsforWuluCountyin2017



-

500

1,000

1,500

2,000

2,500

Weeks

MalariatrendsforYirolEastCountyin2017


-

1,000

2,000

3,000

4,000

5,000

6,000

7,000

Weeks

MalariatrendsforYirolWestCountyin2017


Malaria trends in select IDP sites

Malaria trends in four of the large IDP sites - Bentiu Poc; UN House Poc; Malakal PoC; and Renk are below the thirdquartile

-

10

20

30

40

50

60

70

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51

Proportionatemorbidity%

EpiWeek

Figure10a|MalariatrendforIDPsinBentiuPoC2017

Thirdquartile Propmob 2017

- 10

20

30

40

50

60

70

80

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53

Proportio

natemorbidity%

Weekofreporting

Figure10b|MalariatrendforIDPsinMalakalPoC,2017


- 5

10

15

20

25

30

35

40

45

50

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51

Proportionatemrobidity%

Epiweek

Figure10c|EWARNtrendsforMalariainUNHouse,2017


- 5

10

15

20

25

30

35

40

45

50

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51

Proportio

natem

orbidity%

Figure10d|EWARNtrendsforMalariainRenk,2017


Visceral Leishmaniasis | Kala-azar

Kala-azar is endemic in Upper Nile, Unity,Jonglei, & Kapoeta. Responseinterventions have been complicated byinsecurity, population displacement, poorliving conditions, increasing food insecurity,closure of treatment facilities; and lowtreatment completion rates.

Since the beginning of 2017, a total of2,722 cases including 56 deaths (CFR2.1%); 23 (0.8%) defaulters; 2,339(85.9%) new cases; 119(4.4%) PKDL; and264(9.7%) relapses - all reported from lessthan half of the 23 treatment centers.

In the corresponding period of 2016, a totalof 3,513 cases including 85 deaths (CFR2.6%) and 65(2.0%) defaulters werereported from 21 treatment centers.The majority of cases in 2017 have been reported from Lankien (1,181), Old Fangak (733), Kurwai (201), Chuil (103), Walgak (122), Pagil (62), Malakal IDP (96), Kapoeta (42), and Bunj (45).

The most affected groups include, males [1,322 cases (48.6%)], those aged 5 - 14years [1,112(40.9%) and ≥15years and above[922 cases (33.9%)]. A total of 519 cases (19.1%)] occurred in children <5years.

We are currently in the peak transmission season [September to December]. Hence current efforts by the taskforce entail trainingof health workers, and stocking ample supplies of diagnostics and medicines at all designated treatment centers.

In recent years, we have seen more than expected transmission from September to December in areas affected by conflict,displacement, severe food insecurity, and poor living conditions.

3

patients. Currently one team is in Kapoeta South and Kapoeta East the next teams will travel to Malakal and Fangak

x IMA/KalaCore in collaboration with WHO/MOH have responded to two suspected cases

(both are children) of KA at Alshaba Hospital in Juba. One of the cases is positive, currently on treatment and the other negative.

x Strengthening coordination amongst partners, there will be KA coordination meeting on the 3rd of Nov 2017.

x Conduct training on the use of IEC materials and conduct KA awareness using the IEC materials in KA endemic areas.

Graph:1Cummulative number of VL new cases by 43 (23rd Oct 2017 – 29th Oct 2017).

Graph: 2 Cumulative numbers of VL new cases and total cases by facilities – Week 1- to 43

Hepatitis E Virus (HEV)

Hepatitis E virus transmissioncontinues to be reported indisplaced populations.Genotype 1 has been isolatedfrom these outbreaks since2012. This therefore suggestssub-optimal access to safewater and sanitation astransmission drivers.

Cumulatively, a total of 453HEV cases have been reportedfrom Bentiu PoC in 2017 [onecase reported in the week]. (Fig.19). Current response entailsbehavior changecommunication to improvehygiene, access to safe water,and sanitation.Since the beginning of the crisis, 3,693 HEV cases including 25 deaths (CFR 0.68%) reported in Bentiu; 174 casesincluding seven deaths (CFR 4.4%) in Mingkaman; 38 cases including one death (CFR 2.6%) in Lankien; 3 confirmed HEVcases in Melut; 3 HEV confirmed cases in Guit;1 HEV confirmed case in Leer; and Mayom/Abyei [75 cases including 13deaths with 7 HEV PCR positive cases.

0

50

100

150

200

250

300

350

02468

10121416

3 9 152127333945515 11172329354147536 121824303642482 8 1420263238

2014 2015 2016 2017

No.ca

sesinBentiu

No,casesinothersites

Epidemiological weekAwerial Lankien Bentiu

Acute Flaccid Paralysis | Suspected Polio

In week 47, nine new AFP cases were reported [five in Eastern Equatoria; one in Unity; one in Upper Nile; one in Warrap; and one in Western Equatoria].

During 2017, a cumulative of 340 AFP cases have been reported countrywide. The annualized non-Polio AFP (NPAFP) rate (cases per 100,000 population children 0-14 years) is 4.57 per 100,000 population of children 0-14 years (target ≥2 per 100,000 children 0-14 years).

Stool adequacy was 89% in 2017, a rate that is higher than the target of ≥80%.

Environmental surveillance ongoing since May2017; with 20 samples testing positive for non-polio enterovirus.

Source: South Sudan Weekly AFP Bulletin

By County 2016

2017

*As of epidemiological week 47/2017

# of Counties / stool adequacy rates in 2017*

State Hubs =0 >0<80 80-89% >90 Total

CENTRAL EQUATORIA HUB 3 0 1 2 6 EASTERN EQUATORIA HUB 1 0 0 7 8 JONGLEI HUB 3 1 0 7 11 LAKES HUB 0 0 1 7 8

NORTHERN BAHR EL GHAZAL HUB 0 1 2 2 5

UNITY HUB 3 3 0 3 9 UPPER NILE HUB 5 3 1 3 12 WARRAP HUB 0 0 1 6 7

WESTERN BAHR EL GHAZAL HUB 0 2 0 1 3

WESTERN EQUATORIA HUB 0 0 0 10 10

Total number 15 10 6 48 79

Percent 20% 16% 8% 56% 100% *As of epidemiological week 47/2017

Mortality in the IDPs

Among the IDPs from these locations, mortality data was received from Akobo, Bentiu PoC, and UN HousePoC in week 49. (Table 6). Thirteen deaths were reported during the reporting week. Bentiu PoC reported7 (54%) deaths in the week. During the week, 3 (23%) deaths were recorded among children <5 years in(Table 6).

During week 49; malaria and pneumonia were the leading cause of death the IDPs.

Table 6 | Proportional mortality by cause of death in IDPs W49 2017

Akobo<5yrs ≥5yrs <5yrs ≥5yrs <5yrs ≥5yrs

Acuteviralhepatitis 1 1 8

Malaria 2 2 15

Perinataldeath 1 1 8

Pneumonia 1 1 2 15

Rabies 1 1 8

SevereAnaemia 1 1 8

Unknown 1 1 8

TB/HIV 1 1 8

Injuries 1 1 8

Unknownsepsisaspiration 1 1

8

HepaticEncephelopathy 1 1 8Totaldeaths 1 1 2 5 1 3 13 100

Bentiu Juba3 Totaldeaths

CauseofDeathbyIDPsite

Proportionatemortality[%]

Crude and under five mortality rates in IDPs

The U5MR in all the IDP sites that submitted mortality data in week 49 of 2017 is below the emergency threshold of 2 deaths per 10,000 per day (Fig. 20).

The Crude Mortality Rates [CMR] in all the IDP sites that submitted mortality data in week 49 of 2017were below the emergency threshold of 1 death per 10,000 per day (Fig. 21).

0.0

0.5

1.0

1.5

2.0

2.5

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48

2016 2016 2017

deathsper10,000perd

ay

Epidemiological week

Figure20|EWARNU5MRbySite- W12016toW49of2017

Bentiu Juba3 Malakal Threshold WauPoC

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48

2016 2016 2017

deathsper10,000perd

ay

Epidemiological week

Figure21|EWARNCrudeMortalityRateforW12016toW49of2017

Bentiu Juba3 Malakal MelutAkobo WauShiluk Threshold WauPoC

Overall mortality in the IDPs in 2017

• A total of 869 deaths have been reported from the IDP sites in 2017 Table 7.

• During week 48; an MDR-TB death was reported in Bentiu PoC. Since Bentiu PoC is an IDP camp,contact investigations have been initiated to determine the extent of spread.

• The top causes of mortality in the IDPs in 2017 include malaria, medical complications ofmalnutrition, pneumonia, perinatal complications, and TB are shown in Table 7.

Table 7 | Mortality by IDP site and cause of death as of W49, 2017week49

IDPsite acutewatery

diarrhoe

a

cancer

Gun

shotwou

nd

HeartF

ailure

Hepa

titisE

hype

rten

sion

Kala-Azar

malaria

materna

ldeath

Men

ingitis

perin

ataldeath

pneu

mon

ia

Rabies

SAM

Stroke

cholera

HIV/

AIDS

susp.TB

TB

MDR

-TB+HIV

injurie

s

Others

Grand

Total

Bentiu 21 10 10 14 1 2 42 4 5 35 23 2 56 3 2 12 26 24 1 3 247 543Juba3 3 2 5 1 22 12 21 1 15 2 15 1 35 135Kodok 1 2 3Malakal 6 2 3 7 5 2 5 1 1 6 64 102Akobo 3 1 2 3 19 9 1 1 15 54BorPOC 1 2 1 11 15WauPoC 9 1 1 1 1 4 17GrandTotal 36 19 12 22 1 2 5 86 7 5 55 59 3 58 9 2 29 31 45 1 4 378 869Proportionatemortality[%] 4.1 2.2 1.4 2.5 0.1 0.2 0.6 9.9 0.8 0.6 6.3 6.8 0.3 6.7 1.0 0.2 3.3 3.6 5.2 0.1 0.5 43.5 100.0

For more help and support,

please contact:

Dr. Pinyi Nyimol Mawien

Director General Preventive Health Services

Ministry of Health

Republic of South Sudan

Telephone: +211 955 604 020

Dr. Mathew Tut Moses

Director Emergency Preparedness and Response (EPR)

Ministry of Health

Republic of South Sudan

Telephone: +211 956 420 189Notes

WHO and the Ministry of Health gratefully acknowledge health cluster and health pooled fund (HPF)

partners who have reported the data used in this bulletin. We would also like to thank ECHO and

USAID for providing financial support.

The data has been collected with support from the EWARS project. This is an initiative to strengthen

early warning, alert and response in emergencies. It includes an online, desktop and mobile

application that can be rapidly configured and deployed in the field. It is designed with frontline users

in mind, and built to work in difficult and remote operating environments. This bulletin has been

automatically published from the EWARS application.

More information can be found at http://ewars-project.org

Ministry of Health

Republic of South

Sudan

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