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Public Health Priorities
Highlights
Early Warning, Alert and Response
• Completeness for weekly reporting was 59% IDSR sites and 81% forthe IDP sites.
• Malaria remains the leading cause of morbidity in nonconflict areaswhile ARI is the leading cause of morbidity in the IDPs.
• A total of 20 suspect measles cases were reported from Wau,Yambio, Tonj North, Jur River, Nzara and Gogrial West.
• A new cholera outbreak confirmed in Ayod county.
• A total of 10 HEV cases reported from Bentiu POC in week 13.
• One suspect Guinea worm case reported from Bentiu PoC in theweek.
• Complications of Severe acute malnutrition and TB/HIV/AIDS were theleading causes of mortality in the IDP sites
System performance
Special focus on cholera• Cumulatively, 6,147 cholera cases including 171 deaths (65 facilities
and 106 community) (CFR 2.75%) have been reported in South Sudan(Figs 19.2&19.3; Table 4.2)
• New cholera outbreak confirmed in Ayod - with active transmissionin Yirol East, Mingkaman, and Duk (Figs 19.2&19.3; Table 4.2).
• Suspect cholera cases reported in Mayom, Juba, Kodok, and YirolWest (Figs 19.2&19.3; Table 4.2).
Completeness for weekly reporting was 59% for the routinesurveillance(IDSR sites) and 81% for the EWARS (IDP sites)(Table 1).
In the reporting week, thirteen (13) counties attained 100%completeness of reports. A total of 32 (40%) countiesattained the target completeness of at least 80% (Figures 1c)in Week 13 compared to 29 and 34 in Weeks 12 and 11respectively.
Timeliness for weekly reporting stands at 47% for the routinereporting sites and 75% for the IDP sites (Table 1).
Table 1 | Surveillance performance in South Sudan as of W13 2017
Republic of South SudanW13|27th Mar - 2nd April 2017
Weekly Epidemiological BulletinIntegrated Disease Surveillance and Response (IDSR)
!
!
Active responses
CholeraMeaslesKala azar Hepatitis E virus Guinea worm
SystemTotal
Facilities
Timelines Completeness Timeliness Completeness
inweek 13of2017 Cumulativefor2017
IDSR 1155 538(47%) 676(59%) 409(29%) 563(40%))
EWARN 47 37(75%) 38(81%) 35(72%) 37(76%)
Figure 1c -d | IDSR Completeness by county in W13 and Weeks 1-12 2017
Event based surveillance W13 of 2017
Active alerts:
Guinea Worm
In Week 13, Events based surveillance data was received from two hubsof Torit and Wau. Five Events were reported 4 suspected measles fromJur river, County and 1 suspected meningitis from Torit County.Investigation was initiated with 72 hours for the meningitis team by theMeasles were still pending.
0% 10%
27%
10% 1%
52%
Figure1b|ProportionalmorbidityinIDPsW132017
Measles
Malaria
ARI
AWD
ABD
Other
11% 2%
28%
0.021%
60%
Figure1a|IDSRProportionalmorbidityWK13,2017
AWD
ABD
Malaria
Measles
Others
IDSR and EWARN Reporting Performance by Partner and County in 2017
Trends for top causes of Morbidity
This week 24 hospitals (47%), 161 PHCCs (49%), and 491 PHCUs (48%)in 52 counties submitted their IDSR reports (Table 2). A significantimprovement from the previous weeks
Number of counties that did not submit any IDSR report decreased from34 in Week 12 to 28 in Week 13 (Table 2). However, eight of these countiessubmit their data through EWARS (Table 2).Nine partner-supported health facilities in the IDP sites did not submittheir reports (Table 2).
!
Table 2 | Reporting Performance [Timeliness and Completeness] by Partner and County as of W13 2017
Figure 6b | EWARN Priority Disease Proportionate Morbidity W52 2013 to W13 2017
Table 4 | Top causes of morbidity in 2016 and 2017
Figure 6a | IDSR priority disease morbidity trends W1 to W13 2017
Overall morbidity trends for 2017
This week, the Nine health facilities in the IDP sites that didnot submit their reports are supported by SMC, IOM, MSF-H,IMC and IMA (Table 2).
The best performing partner-supported facilities duringthe week were GOAL, IRC, Medair, HLSS MSF-E, WorldRelief and UNKEA
No.IDSR IDSR
SilentCountiesW13 2017 SilentCountiesW11 2017IbbaJurRiverCueibetWuluAweilWestAbiemnhomKochLongochukManyoRagaMvoloGogrialWestTonjSouthMaridiTamburaMundriEastMundriWestEzoGogrialEastYirolWestAweilEastLeerMayomRumbekNorthUlangTonjNorthAweilNorth
AwerialKajo-kejiYeiWauKapoetaEastTerekekaAweilCentreAweilSouthMayenditMabanNageroFashodaRumbekCentreNzaraYambioJubaBorSouthRubkonaNationalBudiMagwiTwicMayarditCanal/PigiAbyei
*Countieswith EWARSreportingsites,
Malaria remains the top cause of morbidity in the IDSR reporting sitesfollowed by Acute watery diarrhea while for the IDP sites ARI* is theleading cause of morbidity followed by malaria .(Figures 1a, 1b, 6a,6b, Table 4).
Consultations Table 3 | Consultations in South Sudan as of W13 2017
SurveillanceSystem
ConsultationsinWeek13 of2017 Cumulativeconsultationsfor2017
<5years ≥5years Total <5years ≥5years Total
IDSR 35314 54,177 89,491 398,913 621,176 1,020,089
EWARN 30,568 367,415
Total 120,059 1,387,504
Partner Numberofhealthfacilities
W13 2017Completeness Timeliness
# # % # %
COSV 0 0 0% 0 0%
GOAL 2 2 100% 2 100%
HLSS 2 2 100% 2 100%
IMA 5 2 40% 2 40%
IMC 8 6 75% 6 25%
IOM 12 11 92% 11 92%
IRC 1 1 100% 1 100%
Medair 2 2 100% 0 0%
MSF-E 2 2 100% 2 100%
MSF-H 4 3 75% 3 75%
SMC 6 4 67% 3 50%
UNIDO 0 0 0% 0 0%
UNKEA 2 2 100% 2 100%
WorldRelief 1 1 100% 0 100%
Total 47 38 81% 35 75%
System Disease NewcasesW13 Cumulativecasesweek1toweek13of
2016 2017 2016 2017IDSR Malaria 16,137 26,213 294,589 290,287
AWD 18,290 9,665 89,661 98,313Meningitis 0 0 9 2
ABD 1,453 1,581 21,077 15,367Measles 6 20 227 208AJS 1 0 7 13
EWARNMalaria 6,375 3,153 100,953 49,750
AWD 3,839 3,011 41565 33,641ARI 6231 8105 74,424 98,403ABD 421 207 5,172 2,879
Measles 7 1 156 216AJS 126 10 919 187
Meningitis 0 0 10 18
Disease/Year 2016 2017
Malaria 395,542 340,037
AWD 131,226 131,954
ARI* 74,424 98,403
ABD 26,249 18,246
AJS 926 200
Measles 383 424
Meningitis 19 20
Figure 4b | Cumulative for top causes of morbidity as of Week 13 of 2016 and 2017
*ARIisonlyreportedonfromtheIDPsites
0102030405060708090
0
100
200
300
400
500
600
700
800
1 3 5 7 9 11 13
Completen
ess(%)
casesp
er100,000pop
ulation
Epidemiologicalweekofreportingin2015
IDSRPriorityDiseaseMorbiditytrendsfromweek01toweek13,2017
Completeness ABD Malaria Measles AWD
0%
10%
20%
30%
40%
50%
60%
70%
80%
2013
-12-15
2014
-07-13
2015
-02-08
2015
-09-06
2016
-04-03
2016
-10-30
Percen
tageofallconsultatio
ns
%_Malaria %_ARI %_Measles
Malaria
Malaria
Status: Urgent
!
This Week Malaria accounted for 28% and 10% of all consultations inthe IDSR and IDP sites respectively (Fig. 1a, 1b). The incidence (casesper 100,000) of Malaria increased from 174.1 in Week 12 to 175.5 .
As the Malaria season approaches, the incidence in Week 13 of 2017 iscomparatively equal to the corresponding periods in 2014, 2015 and2016.As seen from Figs. 8a-f, analysis of malaria trends at state level showedthat malaria cases were within expected levels in some of thestates*.(Fig 8a-d).
The malaria incidence in the IDP sites has remained within expected levels. (Figs. 10a-d)
A total of Four (4) malaria deaths were reported from Tabura(3) and YirolWest(1)(Tables 5, 6).
*Actual diseasetrendsmaybemaskedbylowreportingrates
Malariatrendsbystatehub
0
100
200
300
400
500
600
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
Casesp
er100,000Pop
ulation
Epidemiologicalweekofreporting
Figure7|IDSRmalariatrendsbyweek,2014- 2017
2014 2015 2016 2017
0
200
400
600
800
1000
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
casesp
er100,000
Epidemiologicalweek
Figure8c|IDSRtrendsforMalariaAweil,AweilEast,Lolfromweek01to13,2017
Thirdquartile2012-2015 2017
0
200
400
600
800
1000
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
casesp
er100,000
EpidemiologicalWeek
Figure8b|IDSRtrendsformalariaGogrial,Tonj,Twic,Wk01toWk13,2017
Thirdquartile2012-2015 2017
0
100
200
300
400
500
600
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
casesp
er100,000
Epidemiologicalweek
Figure8d| IDSRtrendsformalariainWesternLakes,EasternLakes,andGokstates,Wk01toWk13,2017
Thirdquartile2012-2015 2017
0
200
400
600
800
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
casesp
er100,000
Epidemiologicalweek
Figure8f| IDSRtrendsforMalariainGbudwe,Maridi,andAmadistatesfromweek01to13,2017
Thirdquartile2012-2015 2017
0
500
1000
1500
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
casesp
er100,000
Epidemiologicalweek
Figure8a|MalariaIncidenceforWaustate,week01to13,2017
Thirdquartile2012-2015 2017
0.0
100.0
200.0
300.0
1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52EpidemiologicalWeek
MalariaIncidenceforUnitystatefromweek01to13,2017
2017 Thirdquartile2012-2015
Malaria in IDPs
!
Acute Respiratory Infection (ARI)
In Week 13 the ARI proportionate morbidity increased from24.42% in week 12 to 26.93%. Comparatively, the ARIproportionate morbidity in 2017 is higher than thecorresponding period in 2014, 2015 and 2016.
Figure 11b shows ARI morbidity by IDP site in Week 13 of 2017,the reporting site with the highest Proportionate morbidity of ARI isMedair Abayok Clinic with ARI proportionate morbidity of 67.4%.
0%
5%
10%
15%
20%
25%
30%
35%
010305070911131517192123252729313335373941434547495153
Percen
toftotalcon
sulta
tions
Epidemiologicalweekofreporting
Figure11|ARItrendsinIDPsW512013toW132017
2014 2015 2016 2017
0% 10% 20% 30% 40% 50% 60% 70% 80%
Med
airA
bayokClinic
MSF-HBen
tiuPoC
Hospital
Med
airW
onthow
Clinic
MSF-HLankien
PHC
CIOMGergerM
obileClinic
SMCMalou
IRCSector4Clinic
GOALKoradarID
Pclinic
MSF-HBen
tiuTow
nClinic
IOMBen
tiuSector1
PoC
…IOMW
onthou
Mob
ileClinic
IMCMalakalPoC
Clinic2
GOALDetho
maCamp2
IMADe
lalA
jakMob
ileClinic
IOMBen
tiuSector3
PoC
…IM
CAk
oboHo
spita
lIM
CUN
Hou
seClinic1
IOMM
alakalPoC
Clinic
IOMNazarethIDPCamp…
IOMCathe
dralChu
rchIDP…
IOMHalakaMob
ileClinic
MSF-EM
alakalTow
nPH
CCWorldReliefP
HCC
GoaMed
icalM
obileClinic
GapMed
icalM
obileClinic
IMAKo
dokMob
ileClinic
IOMBen
tiuSector5
PoC
…MSF-EHospital
IOMRam
elaMob
ileClinic
Percen
tofallconsultatio
ns
Figure11b|ARIIncidencebyIDPSiteinW132017
Meningitis (suspected)
!
In week 13, there was no suspected meningitiscase reporting from across the country.
Even as the meningitis season is coming toan end, partners are still urged to maintainheightened surveillance, and to ensure thatall patients meeting the suspect case definitionfor meningitis are investigated and wherepossible samples collected and notificationssent to the next level for prompt action.
Cumulatively from week 47 of 2016, a total of18 rapid pastorex Streptococcus pneumoniaecases have been reported (Fig. 11c). Only onerapid pastorex Neisseria meningitidis Y/W135case has been reported since week 47 of 2016(Fig. 11c).
Figure 11d shows the attack rates (cases per100,000) and case fatality rates by week forsuspect meningitis cases in Bentiu PoC. Whilethe alert threshold has been surpassed for atleast four weeks since week 47, the epidemicthreshold has not been reached. The currenttrends are still below the epidemic threshold.Surveillance for suspect cases of meningitis ishigh in Bentiu PoC and countrywide.
Nearly 40% of the cases are below one yearand 68% are below five years of age. Childrenand young adults constitute 53% of the cases.Males constitute 61% of the total casesreported (Table 4c).
Heighten Surveillance for meningitis has beenmaintained across the country, especially in thehigh risk locations Like Malakal and BentiuPoC.
The second phase of the MenAfriVacpreventive campaigns are slated for the fourthquarter of 2017 targeting the states in thegreater Upper Nile region.
Table4c:Suspectmeningitiscaseage&sexdistribution,BentiuPoC,wk47,2016towk10,2017
0
1
2
3
4
5
6
7
No.cases
Weekofonset
SuspectmeningitisEpi-curveshowingrapidpastorexresults,BentiuPoC,week47of2016toweek12,2017
H.Influenzaeb N.meningitidis Y/W135 Negative S.Pneumonlae
0
5
10
15
20
25
30
0
2
4
6
8
10
12
2016
-45
2016
-46
2016
-47
2016
-48
2016
-49
2016
-50
2016
-51
2016
-52
2017
-01
2017
-02
2017
-03
2017
-04
2017
-05
2017
-06
2017
-07
2017
-08
2017
-09
2017
-10
2017
-11
2017
-12
CFR[%]
Epiweekofonset
casesp
er100,000
Suspectmeningitis attackrates&CFRbyweek,BentiuPoC
AR Alertthreshold Actionthreshold CFR
CountofSN ColumnLabelsAge Female Male Total Percentage<1yr 8 8 16 41%1-4yrs 2 9 11 28%5-14yrs 2 3 5 13%15-29yrs 1 3 4 10%30+yrs 2 1 3 8%Total 15 24 39 100%
Acute bloody diarrhoea (ABD)
Acute bloody diarrhoea (ABD)
!
Acute watery diarrhoea (AWD)
Acute watery diarrhoea (AWD)
AWD remains among the top three causes of morbidity in theCountry, this week it accounted for 11% and `10% of allconsultations in the routine reporting(IDSR) and IDP sitesrespectively (Fig. 1a, 1b).
Overall from Week 7 of 2017 the AWD incidence has been onupward trend. The Incidence [cases per 100,000] in week 13increased from 67.9 in Week 12 to 79.0 from the IDSR reportingsites.(Fig. 12).
In the IDP sites, AWD morbidity has increase over the last twoconsecutive weeks , this week the proportionate morbidity ishigher than the corresponding period in 2014 but lower than 2015and 2016 (Fig. 13). Figure 14 shows AWD morbidity by IDP sitein Week 13 of 2017
For the third consecutive week, the ABD burden remained at2% and 1% of all consultations in the IDSR and IDP sitesrespectively (Fig. 1a, 1b).
For the routine reporting sites ABD incidence [cases per100,000] increased from 10.9 in Week 12 to 12.9 in Week 13(Fig. 15).
Among the IDPs, the current ABD proportionate morbiditydecreased in Week 13 and still remains low compared to thecorresponding period in 2014, 2015 and 2016 (Fig. 16 and17).
Figure 17 shows the number of ABD cases by IDP clinic inWeek 13 of 2017.
0%
1%
2%
3%
4%
5%
6%
010305070911131517192123252729313335373941434547495153
Percen
tofallconsultatio
ns
Figure16|ABDtrendsinIDPsW512013toW132017
2014 20152016 2017
0% 2% 4% 6% 8%
10% 12% 14% 16% 18%
Med
airA
bayokClinic
UNKEAJikmirPH
CC
GOALDetho
maCamp2
GOALKoradarID
Pclinic
GapMed
icalM
obileClinic
MSF-HBen
tiuTow
nClinic
SMCArekM
obileClinic
GoaMed
icalM
obileClinic
IOMRam
elaMob
ileClinic
IOMCathe
dralChu
rchIDP…
IOMW
auPoC
Clinic
IMCUN
Hou
seClinic1
IMCAk
oboHo
spita
l
IOMW
onthou
Mob
ileClinic
IOMBen
tiuSector5
PoC
Clinic
IMCMalakalPoC
Clinic1
IOMBen
tiuSector3
PoC
Clinic
MSF-HBen
tiuPoC
Hospital
Percen
tofallconsultatio
ns
Figure17|ABDIncidencebyIDPSiteinW132017
0
20
40
60
80
100
120
140
1 3 5 7 9 11131517192123252729313335373941434547495153
Casesp
er100
,000
Pop
ulation
Epidemiologicalweekofreporting
Figure12|IDSRAWDtrendsbyweek,2014- 2017
2014 2015 2016 2017
0%
5%
10%
15%
20%
25%
01 03 05 07 09 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53
Percen
tofallconsultatio
ns
Figure13|AWDtrendsinIDPsW512013toW132017
2014 2015 2016 2017
0% 5%
10% 15% 20% 25% 30% 35%
MSF-HBen
tiuTow
nClinic
UNKEAJikmirPH
CCIM
CMalakalPoC
Clinic1
GOALKoradarID
Pclinic
MSF-HBen
tiuPoC
Hospital
Med
airW
onthow
Clinic
SMCMalou
GOALDetho
maCamp2
Med
airA
bayokClinic
IRCSector4Clinic
MSF-EM
alakalTow
nPH
CCIM
ADe
lalA
jakMob
ileClinic
MSF-HLankien
PHC
CUN
KEAMande
ngPHC
CSM
CPaktapM
obileClinic
IMCER
PoC
1IOMRam
elaMob
ileClinic
IOMNazarethIDPCamp…
GapMed
icalM
obileClinic
IOMGergerM
obileClinic
IOMCathe
dralChu
rchIDP…
HLSSBorClinic
AburocPHC
UIM
CMalakalPoC
Clinic2
IOMBen
tiuSector5
PoC
…IOMBen
tiuSector3
PoC
…IM
CAk
oboHo
spita
lIOMM
alakalPoC
Clinic
IOMW
auPoC
Clinic
Percen
tofallconsultatio
ns
Figure11b|AWDIncidencebyIDPSiteinW132017
0
5
10
15
20
25
1 3 5 7 9 11131517192123252729313335373941434547495153Casesp
er100,000Pop
ulation
Epidemiologicalweekofreporting
Figure15|IDSRABDtrendbyweek,2013- 2017
2014 2015 2016 2017
!
Measles In Week 13, Twenty(20) new suspect measles cases werereported Jur River(2), Wau(4), Yambio(3), Nzara(2) andGogrial West (3), Tonj North(3) (Table 4.1).
Cumulatively, in 2017 a total of least 515 suspect measlescases including 4 deaths (CFR 0.78%) have been reportedfrom 17 counties..
Most of the cases have been reported from Wau, Gogrial East,Gogrial West and Yambio counties (Figure 18.1).
The majority of the cases are under five years of age (Figure18.3).
Since the beginning of 2017, measles outbreaks have beenconfirmed in five counties - Wau, Aweil South, Gogrial West,Gogrial East, and Juba (Table 4.1 and Figure 18.2).
At least 46 measles IgM positive and 36 rubella IgM caseshave been confirmed in 2017 (Table 4.1 and Figure 18.2).
Most counties have not attained the non-measles febrile/rashillness rate of at least 1/100,000 (Figure 18.4). This highlightsthe need to enhance measles case-based investigation andsample collection.
The follow-up measles campaign is scheduled for 17th to 28th
April 2017.
Table4.1|MeaslescasesbylocationandstatusasatW13of2017
CountyNewsuspectcasesW13,
2017
Suspectcasesin2017
ConfirmedMeasles2017
ConfirmedRubella2017
Samplestestedin2017
Outbreakstatusin2017
WauIDPs 4 281 15 26 96 Confirmed
MalakalPoC 0 2 0 2 Alert
GogrialEast 0 43 5 8 Alert
GogrialWest 3 48 15 24 Confirmed
TonjNorth 3 8 0 0 0 Alert
AweilSouth 0 6 7 7 Confirmed
Yambio 3 47 2 10 19 Alert
Mayom 0 15 0 0 0 Alert
Nzara 2 3 0 Alert
Ezo 0 1 0 0 0 Alert
AweilWest 0 9 0 1 Alert
Aweil Center 0 1 0 0 0 Alert
Kajo-keji 0 5 0 0 Alert
Juba 0 21 7 17 Alert
Torit 0 2 0 0 39 Alert
Duk 0 15 0 0 Alert
JurRiver 2 2 0 0 0 Alert
MundriWest 0 1 0 0 1 Alert
Total 17 510 46 36 214
Fig18.2|CountieswithconfirmedmeaslesoutbreaksasatW13of2017
Fig18.4|Non-measlescasesFebrile/Rashillnessper100,000bycountyasatW13of2017
Non-Measles Febrile/Rash Illness Rates by County / 2016-2017*
2017
2016
County level
Categories
Counties by category
Number Percent
NM-FRI rate =0.00-0.00 42 53%
NM-FRI rate >0.01-0.99
2 3%
NM-FRI rate >1.00-1.99
5 6%
NM-FRI rate >2.00 30 38% Total 79 100%
* As of Week 13, 2017
Categories
Counties by category
Number Percent
NM-FRI rate =0.00-0.00 69 87%
NM-FRI rate >0.01-0.99
0 0%
NM-FRI rate >1.00-1.99
0 0%
NM-FRI rate >2.00 10 13% Total 79 100%
Non-Measles Febrile/Rash Illness Rates by County / 2016-2017*
2017
2016
County level
Categories
Counties by category
Number Percent
NM-FRI rate =0.00-0.00 42 53%
NM-FRI rate >0.01-0.99
2 3%
NM-FRI rate >1.00-1.99
5 6%
NM-FRI rate >2.00 30 38% Total 79 100%
* As of Week 12, 2017
Categories
Counties by category
Number Percent
NM-FRI rate =0.00-0.00 69 87%
NM-FRI rate >0.01-0.99
0 0%
NM-FRI rate >1.00-1.99
0 0%
NM-FRI rate >2.00 10 13% Total 79 100%
0
10
20
30
40
50
60
70
80
90
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Num
berofcases
Epidemiological weekin2017
Measles casesbyEpidemiologicalweekandcounty,week1-14,2017
Juba GogrialWest Aweil South Aweil Center MalakalWau JurRiver Yambio Torit GogrialEast
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Juba GogrialWest Aweil South Aweil Center Malakal Wau JurRiver Yambio Torit GogrialEast
Agedistrib.%
Measles casedistributionbyagegroupandcounty,week1-14,2017
<1yr 1-4yrs 5-9yrs 10-14yrs 15+yrs
Fig18.3|Measlescasedistributionbyagegroupandcountry,week1-14,2017
!
Visceral Leishmaniasis | Kala-azar
Hepatitis E Virus (HEV)
In week 13, Seven (7) health facilities reported 24 cases, 18 new cases, 6relapses and 0 PKDL. 3 deaths and 3 defaulters reported.Since the beginning of 2017, a total of 880 cases including 18 deaths(CFR 2.0%) and 4(0.5%) defaulters have been reported from 16 treatmentcenters however, currently 12 treatment centers are reporting. Of the 880cases reported, 724 (82.3%) were new cases, 55(6.3%) PKDL and101(11.5%) relapses.In the corresponding period in 2016, a total of 475 cases including 25deaths (CFR 5.3%) and 18(3.8%) defaulters were reported from 21treatment centers.Majority of cases were reported from Lankien (316), Old Fangak (313),Kurwai (97) , Malakal IDP (35), Walgak (34), KCH (24) and Ulang (15) etc.The most affected groups included, males [306 cases (54.7%)], thoseaged 5 - 14years [246(29.3%) and ≥15years and above [245 cases(28.5)]. A total of 83 cases (10.0%)] occurred in children <5years.
The number of cases reported in 2017 is higher than those reported in2016 despite the transmission season. However, the trend of the graph ismore or less the same.
A total of Ten (10) HEV cases reported from Bentiu PoC (Fig. 19)were reported in Week 13.Cumulatively, a total of 178 HEV cases have been reported fromBentiu PoC in 2017 . The transmission of HEV is also reported inBentiu town and all have been linked to sub-optimal access tosafe water and sanitation. Multis-sectoral response has madesome progress in reducing the incident but control is yet to beattained due to a multiplicity of factors. (Fig. 19)
Cumulatively, from the beginning of the crisis, 3,426 HEV casesincluding 25 deaths (CFR 0.73%) reported in Bentiu; 174 casesincluding seven deaths (CFR 4.4%) in Mingkaman; 38 casesincluding one death (CFR 2.6%) in Lankien; 3 confirmed HEVcases in Melut; 3 HEV confirmed cases in Guit;1 HEV confirmedcase in Leer; and Mayom/Abyei [57 cases including 15 deathswith 7 HEV PCR positive cases.
Other diseases of public health importanceAcute Flaccid Paralysis | Suspected Polio
In Week 12, Eleven (11) new AFP cases were reported with date of onset in 2017 from Northern Bar Ghazal(5), Jonglei (1),Unity(1) Central Equatoria(1) and Eastern Equatoria Hubs (2).
During 2017, a cumulative of 64 AFP cases have been reported countrywide. the annualized non-Polio AFP (NPAFP) rate (cases per 100,000 population children 0-14 years) is 3.4 per 100,000 population of children 0-14 years (target ≥2 per 100,000 children 0-14 years).
Stool adequacy was 92% in 2017, a rate that is higher than the targetof ≥80%. The percent of silent Counties is 53%.
Guinea Worm | Dracunculiasis
One suspect Guinea worm case reported from BentiuPoC in the week. More than 3,000 alerts have beeninvestigated in 2017 with three samples collected out ofwhich two were negative while the third is still pending.
Cumulatively in 2016; six (6) confirmed Guinea wormcases were reported compared to Four (4) cases in2015.
The Ministry of Health through the South Sudan Guinea Worm Eradication Program(SSGWEP) continues to offer cash reward of 5,000 SSP. for reporting a Guinea worm.
Viral Haemorrhagic FeverNo new suspect hemorrhagic fever cases reported from across theCountry in Week 13.
Animal bites | Suspected rabies
There were no suspect rabies cases in the Week 13 .
Table.|NonPolioAFPratebycountyasofWeek13of2017
2
ANALYSIS:
x In week 13, Seven (7) health facilities reported 24 cases, 18 new cases, 6 relapses and 0 PKDL. 3 deaths and 3 defaulters reported. Table 2
x Since the beginning of 2017, a total of 880 cases including 18 deaths (CFR 2.0%) and 4(0.5%) defaulters have been reported from 16 treatment centers however, currently 12 treatment centers are reporting. Of the 880 cases reported, 724 (82.3%) were new cases, 55(6.3%) PKDL and 101(11.5%) relapses.
x In the corresponding period in 2016, a total of 475 cases including 25 deaths (CFR 5.3%) and 18(3.8%) defaulters were reported from 21 treatment centers.
x Majority of cases were reported from Lankien (316), Old fangak (313), Kurwai (97) , Malakal IDP (35), Walgak (34), KCH (24) and Ulang (15) etc
x The most affected groups included, males [306 cases (54.7%)], those aged 5 - 14years [246(29.3%) and ≥15years and above [245 cases (28.5)]. A total of 83 cases (10.0%)] occurred in children <5years. Table 1
x The number of cases reported in 2017 is higher than those reported in 2016 despite the transmission season. However, the trend of the graph is more or less the same.
x The low number of cases reported in weeks 13 was as a result of few number of health facilities reporting.
x WHO/MOH in collaboration with IMA and KalaCore continue to ensuring that all implementing partners have access to KA test kits and medicine and onsite monitoring of Kala azar activities to ensure proper treatment provided to patients.
x WHO/MOH in collaboration with IMA and KalaCore plan to conduct training and establish DAT testing at the National Public Health Laboratory.
Graph:1Cummulative number of VL new cases by WEEK 13(27th Marc 2017 –2nd April 2017).
0
50
100
150
200
250
300
350
0246810121416
3 9 15 21 27 33 39 45 51 5 11 17 23 29 35 41 47 53 6 12 18 24 30 36 42 48 2 8
2014 2015 2016 2017
No.casesinBen
tiu
No,casesinothersites
Epidemiologicalweek
Figure19|HEVtrendsinMingkaman,Bentiu&LankienW102014toW132017
Awerial Lankien Bentiu
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Cholera
Figure 1.0: Cholera incidence (cases per 10,000) and casefatality rate (%) as of 13 October 2016
• Cumulatively, 6,147 cholera cases including 171 deaths (65facilities and 106 community) (CFR 2.75%) have beenreported in South Sudan (Figs 19.2&19.3; Table 4.2)
• New cholera outbreak confirmed in Ayod - with activetransmission in Yirol East, Mingkaman, and Duk (Figs19.2&19.3; Table 4.2).
• Suspect cholera cases reported in Mayom, Juba, Kodok, andYirol West (Figs 19.2&19.3; Table 4.2).
Table4.2|Choleracasesanddeathsbycountyasof12th April2017
Figure19.2|CholeraEpidemiccurveinSouthSudanasof12Apr2017
ReadersarereferredtothecholerasituationreportfordetailsontheongoingcholeraresponseinSouthSudan
Reportingsites Totalcases TotalFacili6ydeaths Totalcommunitydeaths TotaldeathsJubacounty 2,045 8 19 27Dukcounty 100 3 5 8Bor county 82 1 4 5Terekekacounty 22 0 8 8Awerialcounty 836 2 10 12Yirol East 499 12 23 35Pagericounty 29 0 1 1Fangakcounty 270 4 0 4Ayodcounty 60 0 25 25Rubkonacounty 1176 7 2 9Leercounty 94 3 0 3Panyijiarcounty 501 20 4 24Mayenditcounty 226 0 5 5Pigicounty 181 5 5Malakal 19 0 0Total 6,147 65 106 171
Figure19.3|Choleraincidence(casesper10,000)andcasefatalityrate(%)asof12Apr2017
- - -
21.05
16.92
2.05 1.85
0.62 0.861.42 1.55
2.753.33
0.421.35
0.76
4.48
3.33
0.75
2.26 2.42
0.82
2.00
0.63
1.761.27
0.57
2.24
0.79 0.60
2.30
3.49
6.67
5.11
6.91
-
5.754.84
4.12
2.86
1.47
14.04
- - 0
5
10
15
20
25
0
50
100
150
200
250
300
350
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 10 11 12 13 14 15
2016 2017
CFR[%]
Numberofca
ses
Epidemiologicalweekofonset
Jonglei Jubek Terekeka Imatong EasternLakes Fangak NorthernLiech SouthernLiech CentralUpperNile CFR[%]
Mortality
Crude and under five mortality rates in IDPs
Overall mortality in 2017
in Week 13 Three (3) deaths were reported through IDSR , allthree were to malaria (Table 5). Two out of the three deaths werein children aged 5 years or younger.
This reporting wee Mortality data was received from only Bentiu and Malakal IDP sites. (Table 6). Eleven (11) deaths were reported from these sites. Bentiu PoC continues to report the highest mortality with 9 out of the 11 deaths reported. Overall, 3 out of the 20 deaths were children <5 years (Table 6).
This week Severe Malaria, Chronic Illness and complications of Gunshot wounds were the leading causes of Mortality in the IDP Sites(Table 6). A significant proportion of the mortality(30%) were due to unknown causes.
The U5MR in all the IDP sites that submitted mortality data in Week 13 of 2017 is below the emergency threshold of 2 deaths per 10,000 per day (Fig. 20).
Note: Mortality rates are calculated for PoC sites only and are based on the latest available population data from OCHA. They are reported from line lists and should include community and facility-based deaths. However, due to rapid in/out migration from the PoC sites, and possible under-reporting of community-level deaths, they should be interpreted carefully.
!
Table 6 | Proportional mortality by cause of death in IDPs W13 2017Table 5 | Mortality from IDSR reports countrywide W13 2017
A total of 236 deathshave been reportedfrom the IDP sitesfrom Week 01 of2017. (Table 7).
The top causes ofmortality in the IDPsin 2017 are shown intable 7.
The Crude Mortality Rates [CMR] in all the IDP sites that submittedmortality data in Week 13 of 2017 were below the emergency threshold of1 death per 10,000 per day (Fig. 21).
The other causes of mortality in the week are shown in Tables 5 and 6.
Table 7 | Mortality by IDP site and cause of death W13 2017
CountyMalaria<5yrs
Malaria≥5yrs
Totaldeaths<5yrs
Totaldeaths≥5yrs
Yambio
1 0 1 0GogrialWest
1 1 1 1Total 2 1 2 1
IDPSITE TB/H
IV/A
IDS
Severe
malaria
Unk
nown
severe
pneu
mon
ia
SAM
AWD
Cardiaca
rrest
Chronicilln
ess
HeartF
ailure
cholera
GSW
IUFD
Kala-Azar
materna
lde
ath
Others
Gran
dTo
tal
Bentiu 19 3 34 4 16 4 4 2 2 2 5 2 47 144Juba3 15 6 3 1 1 1 2 9 38Malakal 2 2 1 1 13 19Akobo 1 8 5 2 2 7 25WauPoC 2 6 2 10GrandTotal 39 17 36 13 16 13 4 4 3 2 5 2 2 2 78 236
0.0
0.5
1.0
1.5
2.0
2.5
1 3 5 7 9 111315171921232527293133353739414345474951 1 3 5 7 9 1113
2016 2017deathsper10,000pe
rday
Epidemiologicalweek
Figure20|EWARNU5MRbySite- W12016toW13of2017
Bentiu Juba3 Malakal Mingkaman
Melut Akobo WauShiluk Threshold
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1 3 5 7 9 111315171921232527293133353739414345474951 1 3 5 7 9 1113
2016 2017
deathsper10,000pe
rday
Epidemiologicalweek
Figure21|EWARNCrudeMortalityRateforW12016toW13of2017
Bentiu Juba3 MalakalMingkaman Melut AkoboWauShiluk Threshold WauPoC
CauseofDeathbyIDPsite
Bentiu MalakalGrandTotal
Proportionate
mortality<5yrs ≥5 ≥5
Abdominaldistension 1 1 9
drowning 1 1 9
Respiratorydistress 1 1 9
SAM 2 2 18
TB/HIV/AIDS 1 1 2 18
Unknown 2 1 3 28
Cardiacarrest 1 1 9
GrandTotal 3 6 2 11 100
Data sources
Editorial
Acknowledgements
This bulletin presents disease trends from the Integrated Disease Surveillance and Response (IDSR) System and the Early Warning Alert and Disease Network (EWARN).
The respective data is submitted by public health facilities serving host communities (non-conflict affected states or non IDP sites) and partner-supported facilities serving internally displaced persons (IDP) in the Republic of South Sudan.
MoH and WHO gratefully acknowledge the support of all MoH staff in the states, WHO Field Officers, and implementing-health cluster partners in collecting and reporting the data used in this bulletin.
Contact
For more information, please contact: Department of Epidemics, Preparedness and ResponseMoH Republic of South Sudan
Email: [email protected]
Outbreak toll-free line using vivacell:1144
This bulletin is produced by the Ministry of Health with technical support from the WHO
Editorial:Dr.AliceL.Igale,Dr.AbrahamAdut,KorsukL.Scopus,RobertM.Lasu,RoseA.Dagama,JanePita,Dr.Patrick,R.Otim,GabrielWaat,Dr.AllanM.Mpairwe,Dr.JosephF.Wamala,Dr.JohnP.Rumunu
Supported by the Global EWARS project | [email protected]