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South Sudan Annexes W11 2018 (Mar 12 – March 18) Integrated Disease Surveillance and Response (IDSR)
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South Sudan IDSR Annex - W11 2018 Mar 12-Mar 18 · 2019. 8. 5. · 3 W11 2018 (Mar 12-Mar 18) Figure 2 | Proportional morbidity (2018) Malaria Acute Respiratory Infection (ARI) Acute

Jan 19, 2021

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Page 1: South Sudan IDSR Annex - W11 2018 Mar 12-Mar 18 · 2019. 8. 5. · 3 W11 2018 (Mar 12-Mar 18) Figure 2 | Proportional morbidity (2018) Malaria Acute Respiratory Infection (ARI) Acute

South Sudan

Annexes W11 2018 (Mar 12 – March 18)

Integrated Disease Surveillance andResponse (IDSR)

Page 2: South Sudan IDSR Annex - W11 2018 Mar 12-Mar 18 · 2019. 8. 5. · 3 W11 2018 (Mar 12-Mar 18) Figure 2 | Proportional morbidity (2018) Malaria Acute Respiratory Infection (ARI) Acute

2

Contents

AccessandUtilization|Mapofconsultationsbycounty

The total consultation in the country since week 1 of 2018 is 1,386,328, by hub, Bentiu registered the highest number of consultations as indicated in the table above. The total number of consultations by county is indicated in the map above. See the key for more information.

Map 1 | Map of total consultations by county (W11 2018)

Number of consultations

0 1 1,000 2,500 5,000

Hub W11 2018

South Sudan 130,472 1,386,328

Access and Utilisation | Map of consultations by county

2 W11 2018 (Mar 12-Mar 18)

Wau

Malakal

Manyo

Fashoda

Nyirol

Uror

Ayod

Rubkona

Mayendit

Panyijiar

Yirol West

LongechukFangak

Aweil Centre

Aweil SouthGogrial West

Aweil East

Ezo

Abyei

Nzara

Gogrial East

Pibor

Maiwut

Nagero

Mvolo

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

Leer

Mundri West

Luakpiny Nasir

TamburaWulu

Guit

Torit

Bor

Rumbek East

Juba

Ibba

Awerial

Pochalla

Koch

Baliet

Duk

Renk

Ikotos

Raja

Maban

Melut

Aweil 16,751 177,832

Bentiu 19,057 184,561

Bor 12,778 127,385

Juba 7,139 93,740

Kwajok 21,056 264,376

Malakal 12,263 116,111

Rumbek 17,883 170,184

Torit 2,142 52,105

Wau 8,893 82,224

Yambio 12,510 117,810

Page 3: South Sudan IDSR Annex - W11 2018 Mar 12-Mar 18 · 2019. 8. 5. · 3 W11 2018 (Mar 12-Mar 18) Figure 2 | Proportional morbidity (2018) Malaria Acute Respiratory Infection (ARI) Acute

3

Proportionalmortality

Proportionalmorbidity

Figure 1, above shows the proportional mortality for 2018, with malaria being the main cause of mortality accounting for 22.1% of the deaths since week 1 of 2018, followed by ARI, and acute bloody diarrhoea.

Figure 2, indicates the top causes of morbidity in the country, with malaria being the leading cause of morbidity 411,634 (53.8%) followed by ARI, AWD and ABD respectively since week 1 of 2018. refer to the figure above for more information.

Figure 1 | Proportional mortality (2018)

Malaria

Acute Respiratory Infection

(ARI)

Acute Watery Diarrhoea

Bloody diarrhoea

Acute Jaundice Syndrome (AJS)

Measles

Other

Syndrome W11 2018

# deaths % mortality # deaths % mortality

Malaria 4 26.7% 62 22.1%

ARI 9 60.0% 11 3.9%

AWD 0 0.0% 4 1.4%

Bloodydiarrhoea

1 6.7% 5 1.8%

AJS 0 0.0% 2 0.7%

Measles 0 0.0% 1 0.4%

Other 1 6.7% 195 69.6%

Total deaths 15 100% 280 100%

Proportional mortality

3 W11 2018 (Mar 12-Mar 18)

Figure 2 | Proportional morbidity (2018)

Malaria

Acute Respiratory Infection

(ARI)

Acute Watery Diarrhoea

Bloody diarrhoea

Acute Jaundice Syndrome (AJS)

Measles

Other

Syndrome W11 2018

# cases % morbidity # cases % morbidity

Malaria 37,947 50.2% 411,634 53.8%

ARI 11,185 14.8% 109,641 14.3%

AWD 12,153 16.1% 109,529 14.3%

Bloodydiarrhoea

1,605 2.1% 16,287 2.1%

AJS 3 0.0% 65 0.0%

Measles 8 0.0% 109 0.0%

Other 12,632 16.7% 117,161 15.3%

Total cases 75,533 100% 764,426 100%

Proportional morbidity

4 W11 2018 (Mar 12-Mar 18)

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Trendinconsultationsandkeydiseases

IDSRProportionatemorbiditytrends- inrelativelystablestates

In the relatively stable states, malaria is the top cause of morbidity accounting for 32.7% of the consultations in week 11 (representing an increase from 24.0% in week 10).

Figure 3 | Trend in total consultations and key diseases (W11)

Total consultations

Malaria

Acute Respiratory Infection (ARI)

Acute Watery Diarrhoea

Acute Jaundice Syndrome (AJS)

Measles

Trend in consultations and key diseases

5 W11 2018 (Mar 12-Mar 18)

Nu

mb

er

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

W01 2

018

W05 2

018

W09 2

018

0

50000

25000

75000

100000

125000

150000

175000

200000

0

20

40

60

80

100

120

140

160

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 3739 41 43 45 47 4951 1 3 5 7 9 11

2017 2018 Num

bero

fcon

sulta

tionsinTho

usan

ds

Morbidity%

Epidemiologicalweekofreportingin2017

Fig.1|IDSRProportionatemorbiditytrends,week1,2017to11,2018

Consultations Malaria ARI AWD ABD Measles

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5

IDPProportionatemorbiditytrends- indisplacedpopulations

IDPProportionatemorbiditytrends- indisplacedpopulations

Among the IDPs, ARI and malaria accounted for 26.2% and 15.7% of consultations in week 11. The other significant causes of morbidity in the IDPs include AWD, skin diseases, and injuries.

The top causes of morbidity in the IDPs in 2018 include ARI, malaria, AWD, skin diseases, injuries, and ABD.

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 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 1 2 3 4 5 6 7 8 9 11

2017 2018

Consultatio

ns

%ofM

obidity

Epiweek2017to2018

Fig.2|IDPProportionatemorbiditytrends,week01,2017,toweek11,2018

Consultations Malaria ARI AWD ABD Measles Skindiseases GSW Injuries

20.6%

24.0%

7.9%

0.7% 0.02%

3.85%

0.02%1.72%

0

0.05

0.1

0.15

0.2

0.25

0.3

Malaria ARI AWD ABD Measles Skindiseases GSW Injuries

Prop

ortio

natem

orbidity[%

]

CausesofmorbidityamongtheIDPsweeks1to11,2018

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6

Malaria|Trendsovertime

Malaria|MapsandAlertManagement

Malaria is the top course of Morbidity in the country, a total of 411,634 cases with 62 deaths registered since week 1 of 2018. malaria trend for 2018 is above 2016 and 2017 as shown in the figure 4a, above.

Since the beginning of the year, a total of 23 malaria alerts have been triggered, 13 of those were verified. The Maps above indicate the location reporting malaria alerts from 2014, 2015, 2016, 2017, and 2018.

Malaria | Trends over time

6 W11 2018 (Mar 12-Mar 18)

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

0

20000

40000

60000

80000

100000

120000

Graph legend

2018

−− · · −− · ·−−

2017

− · − · − · − − 2016

− − − − − − − 2015

· · · · · · · · · · 2014

411,634Cases

62Deaths

23Alerts

Key malaria indicators (2018) Figure 4b | % morbidity Figure 4c | Age breakdown

Jan Mar May Jul Sep Nov

Map 2 | Map of malaria cases by county (2018)

a. 2014 b. 2015 c. 2016

d. 2017 d. 2018

Malaria | Maps and Alert Management

7 W11 2018 (Mar 12-Mar 18)

Map 3 | Map of malaria alerts by county (2018)

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

23Alerts

13Verified

1Low Risk

0Moderate Risk

0High Risk

0Very High Risk

Risk Assessment

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AcuteWateryDiarrhoea|Trendsovertime

AcuteWateryDiarrhoea|MapsandAlertManagement

The number of AWD alerts triggered since week 1 of 2018 is 39, out of which 19 were verified. Maps above highlight the areas reporting AWD alerts from 2014 to 2018 .

AWD is one of the top causes of morbidity in the country with 109,529 cases reported since week 1 of 2018 including 4 deaths. AWD trend for 2018 is below 2016 and 2017 as shown in figure 5a, above.

Acute Watery Diarrhoea | Trends over time

8 W11 2018 (Mar 12-Mar 18)

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

0

5000

2500

7500

10000

12500

15000

17500

Graph legend

2018

−− · · −− · ·−−

2017

− · − · − · − − 2016

− − − − − − − 2015

· · · · · · · · · · 2014

109,529Cases

4Deaths

39Alerts

Key AWD indicators (2018) Figure 5b | % morbidity Figure 5c | Age breakdown

Jan Mar May Jul Sep Nov

Map 4 | Map of AWD cases by county (2018)

a. 2014 b. 2015 c. 2016

d. 2017 d. 2018

Acute Watery Diarrhoea | Maps and Alert Management

9 W11 2018 (Mar 12-Mar 18)

Map 5 | Map of AWD alerts by county (2018)

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

39Alerts

19Verified

0Low Risk

0Moderate Risk

0High Risk

0Very High Risk

Risk Assessment

Page 8: South Sudan IDSR Annex - W11 2018 Mar 12-Mar 18 · 2019. 8. 5. · 3 W11 2018 (Mar 12-Mar 18) Figure 2 | Proportional morbidity (2018) Malaria Acute Respiratory Infection (ARI) Acute

8

AcuteBloodyDiarrhoea|Trendsovertime

AcuteBloodyDiarrhoea|MapsandAlertManagement

Total of 50 alerts were generated since week 1 of 2018, of which 19 were verified by the county surveillance team. Maps indicating areas triggering alerts since 2014 to 2018 are shown above.

Since week 1 of 2018, a total of 16,287 cases of ABD have been reported country wide including 5 death. ABD trend for 2018 is below 2015, 2016, and 2017 respectively. Refer to figure 6a, above.

Acute Bloody Diarrhoea | Trends over time

10 W11 2018 (Mar 12-Mar 18)

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

0

500

1000

1500

2000

2500

3000

Graph legend

2018

−− · · −− · ·−−

2017

− · − · − · − − 2016

− − − − − − − 2015

· · · · · · · · · · 2014

16,287Cases

5Deaths

50Alerts

Key bloody diarrhoea indicators (2018) Figure 6b | % morbidity Figure 6c | Age breakdown

Jan Mar May Jul Sep Nov

Map 6 | Map of bloody diarrhoea cases by county (2018)

a. 2014 b. 2015 c. 2016

d. 2017 d. 2018

Acute Bloody Diarrhoea | Maps and Alert Management

11 W11 2018 (Mar 12-Mar 18)

Map 7 | Map of bloody diarrhoea alerts by county (2018)

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

50Alerts

19Verified

0Low Risk

0Moderate Risk

0High Risk

0Very High Risk

Risk Assessment

Page 9: South Sudan IDSR Annex - W11 2018 Mar 12-Mar 18 · 2019. 8. 5. · 3 W11 2018 (Mar 12-Mar 18) Figure 2 | Proportional morbidity (2018) Malaria Acute Respiratory Infection (ARI) Acute

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Measles|Trendsovertime

Measles|MapsandAlertManagement

Since the beginning of 2018, at least 109 suspect measles cases including 1 death (CFR 0.92%) have been reported. Of these, 84 suspect cases have undergone measles case-based laboratory-backed investigation with 68 samples collected out of which 14 measles IgM positive cases; 14 clinically confirmed cases; and 3 cases confirmed by epidemiological linkage.

Since week 1 of 2018, 36 alerts of measles were triggered and 25 of those have been verified at county level. Maps of areas raising alerts from 2014 to 2018 are shown above.

Measles | Trends over time

12 W11 2018 (Mar 12-Mar 18)

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

0

50

100

150

200

250

300

Graph legend

2018

−− · · −− · ·−−

2017

− · − · − · − − 2016

− − − − − − − 2015

· · · · · · · · · · 2014

109Cases

1Deaths

36Alerts

Key measles indicators (2018) Figure 7b | % morbidity Figure 7c | Age breakdown

Jan Mar May Jul Sep Nov

Map 7 | Map of measles cases by county (2018)

a. 2014 b. 2015 c. 2016

d. 2017 d. 2018

Measles | Maps and Alert Management

13 W11 2018 (Mar 12-Mar 18)

Map 8 | Map of measles alerts by county (2018)

Map legend

Number of measles cases

0 1 50 100 250

Number of measles alerts

0 1 10

Alert threshold

1 case.

Source: IDSR

36Alerts

25Verified

1Low Risk

1Moderate Risk

0High Risk

0Very High Risk

Risk Assessment

Page 10: South Sudan IDSR Annex - W11 2018 Mar 12-Mar 18 · 2019. 8. 5. · 3 W11 2018 (Mar 12-Mar 18) Figure 2 | Proportional morbidity (2018) Malaria Acute Respiratory Infection (ARI) Acute

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AcuteFlaccidParalysis|SuspectedPolio

MortalityintheIDPs

In week 9, 2018, Thirteen (13) new AFP cases were reported from Jonglei, Lakes, Northern Bahr el Ghazal, Upper Nile, Western Bahr el Ghazal, and Western Equatoria hubs. This brings the cumulative total for 2018 to 51 AFP cases.

The annualized non-Polio AFP (NPAFP) rate (cases per 100,000 population children 0-14 years) in 2018 is 3.58 per 100,000 population of children 0-14 years (target ≥2 per 100,000 children 0-14 years).

Stool adequacy was 96% in 2018, a rate that is higher than the target of ≥80%.

Environmental surveillance ongoing sinceMay 2017; with 23 samples testingpositive for non-polio enterovirus (NPEV)in 2017 and one NPEV positive sample in2018.

Source: South Sudan Weekly AFPBulletin

Table 6 | Proportional mortality by cause of death in IDPs W11 2018

Among the IDPs, mortality data was received from Bentiu PoC, Wau PoC, MalakalPoC, & UN House PoC in week 11. (Table 6). A total of 14 deaths were reportedduring the week. Bentiu PoC reported 7 (50%) deaths in the week. During theweek, 2 (14%) deaths were recorded among children <5 years in (Table 6).

The causes of death during week 11 are shown in Table 6.

week11

Juba3 WauPoC<5yrs ≥5yrs ≥5yrs <5yrs ≥5yrs ≥5yrs

Aspiration 1 1 7Malaria 1 1 7Pneumonia 1 1 7SAM 1 1 7Sepsis 2 2 14Unknown 1 1 2 14TB 1 1 2 14Burns 1 1 2 14Anaemia 1 1 7ChronicHepatitisC 1 1 7Totaldeaths 1 6 4 1 1 1 14 100

CauseofDeathbyIDPsite

Totaldeaths

Bentiu MalakalProportionatemortality

[%]

Page 11: South Sudan IDSR Annex - W11 2018 Mar 12-Mar 18 · 2019. 8. 5. · 3 W11 2018 (Mar 12-Mar 18) Figure 2 | Proportional morbidity (2018) Malaria Acute Respiratory Infection (ARI) Acute

11

MortalityintheIDPs- CrudeandUnderfivemortalityrates

MortalityintheIDPs- Overallmortalityin2018

The U5MR in all the IDP sites that submitted mortality data in week 11 of 2018 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 submittedmortality data in week 11 of 2018 were below the emergency thresholdof 1 death per 10,000 per day (Fig. 21).

Table 7 | Mortality by IDP site and cause of death as of W11, 2018

l A total of 180 deaths have been reported from the IDP sites in 2018Table 7.

l The top causes of mortality in the IDPs in 2018 are shown in Table 7.

0.0

1.0

2.0

3.0

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 3 6 9

2017 2018deathsper10,000perday

Epidemiologicalweek

Figure20|EWARNU5MRbySite- W12017toW11of2018

Bentiu Juba3 Malakal WauPoC Akobo Threshold

0.00.20.40.60.81.01.21.41.6

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 3 6 9

2017 2018

deathsper10,000perday

Epidemiologicalweek

Figure21|EWARNCrudeMortalityRateforW12017toW11of2018

Bentiu Juba3 Malakal

WEEK11

IDPsite Acutew

atery

diarrhoe

a

Cancer

Gunsho

twou

nd

HeartF

ailure

Kala-

Azar

Mala

ria

Men

ingit

is

Perin

atalde

ath

Pneu

mon

ia

Rabies

SAM

Sepsis

TB/H

IV/A

IDS

Trau

ma

HIV/

AIDS

TB

Othe

rs

Gran

dTotal

Bentiu 4 1 2 1 1 4 3 14 3 1 4 9 6 1 8 6 51 119Juba3 1 1 1 3 2 1 1 4 6 16 36Malakal 1 2 1 1 2 9 16Akobo 1 2 1 1 2 1 0 8WauPoC 1 0 1GrandTotal 5 3 3 4 4 9 3 15 6 1 5 11 7 2 12 14 76 180Proportionatemortality[%] 3% 2% 2% 2% 2% 5% 2% 8% 3% 1% 3% 6% 4% 1% 7% 8% 42% 100%

Page 12: South Sudan IDSR Annex - W11 2018 Mar 12-Mar 18 · 2019. 8. 5. · 3 W11 2018 (Mar 12-Mar 18) Figure 2 | Proportional morbidity (2018) Malaria Acute Respiratory Infection (ARI) Acute

Formorehelpandsupport,pleasecontact:

Dr.Pinyi Nyimol MawienDirectorGeneralPreventiveHealthServicesMinistryofHealthRepublicofSouthSudanTelephone:+211955604020

Dr.MathewTutMosesDirectorEmergencyPreparednessandResponse(EPR)MinistryofHealthRepublicofSouthSudanTelephone:+211955295257

Notes

WHOandtheMinistryofHealthgratefullyacknowledgehealthclusterandhealthpooledfund(HPF)partnerswhohavereportedthedatausedinthisbulletin.WewouldalsoliketothankECHOandUSAIDforprovidingfinancialsupport.

ThedatahasbeencollectedwithsupportfromtheEWARSproject.Thisisaninitiativetostrengthenearlywarning,alertandresponseinemergencies.Itincludesanonline,desktopandmobileapplicationthatcanberapidlyconfiguredanddeployedinthefield.Itisdesignedwithfrontlineusersinmind,andbuilttoworkindifficultandremoteoperatingenvironments.ThisbulletinhasbeenautomaticallypublishedfromtheEWARSapplication.

Moreinformationcanbefoundathttp://ewars-project.org