SlideShare a Scribd company logo
1 of 13
Cluster: Health Information, Epidemiology, Evaluation & Research
PANDEMIC INFLUENZA A, H1N1 UPDATE SOUTH AFRICA, 12 JUNE TO
29 SEPTEMBER 2009
1. DISTRIBUTION OF CASES:
On overall 11 729 H1N1 cases were recorded in South Africa 29 September 2009.
Gauteng Province recorded greatest number of H1N1 cases (n=5 318) accounting for 45%
of all the cases reported, followed by KwaZulu Natal and Western Cape Provinces with 17
% (n=2 008 and 1 963 respectively), Figure 1. The national case fatality rate (CFR) was
0.7, with a provincial range of 0 to 3.1; Northern Cape Province recorded the greatest CFR
of 3.1% (Table 1).
Table 1: Number of pandemic H1N1 2009 by province (31 August Update)
Province of
residence*
Laboratory Confirmed
Cases
Percentage of
Laboratory
Confirmed Cases
Deaths CFR (%)
Eastern Cape 682 6 10 1.5
Free State 300 3 2 0.7
Gauteng 5 318 45 12 0.2
KwaZulu Natal 2 008 17 16 0.8
Limpopo 429 4 0 0
Mpumalanga 437 4 1 0.2
Northern Cape 98 1 3 3.1
Northwest 449 4 2 0.4
Western Cape 1 963 17 38 1.9
Unknown 45 0
South Africa 11 729 100 84 0.7
Epidemiology and Surveillance Directorate
1
OUTBREAKS REPORT IN SOUTH AFRICA
Figure 1: Distribution of H1N1 Cases in South Africa
DISTRIBUTION OF CASES BY VARIOUS VARIABLES
Cases mainly peaked in the age group 10-14 years with 19% (Figure 2). The age group
5-19 years accounted for 54% of the cases. On the other hand, deaths peaked
in the age group 25-29 years with 7 cases (Table 2).
Epidemiology and Surveillance Directorate
2
Table 2: Demonstrate distribution of Cases and Deaths by Age Group
Age Group Number of cases % Number of
Death
<1 216 2 1
1-4 933 8 1
5-9 1,957 17 2
10-14 2,272 19 3
15-19 2,094 18 8
20-24 1,172 10 7
25-29 700 6 12
30-34 503 4 9
35-39 536 5 9
40-44 402 3 8
45-49 330 3 6
50-54 276 2 10
55-59 119 1 2
60-64 53 0 2
65+ 57 0 3
Ukn 109 1 1
SA 11 729 100 84
H1N1 weekly update (29 September)
0
500
1000
1500
2000
2500
<1
1-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65+U
nknow
n
Date
NumberofCases
Figure 2: Distribution of Cases by Age Category
Epidemiology and Surveillance Directorate
3
The distribution of H1N1 cases by reporting date shows that cases peaked on the 12
August 2009 with 531 cases, however it should be noted that number of cases on
this day differed from report to report thought the peak day remained consistent
from the previous reports, this maybe as a result of data validation process. Cases
substantially declined from 10 September to the 29 September 2009.
Table 3: Recording Date
Collection date
15-Jun-09 1
24-Jun-09 6
25-Jun-09 1
26-Jun-09 1
28-Jun-09 1
01-Jul-09 2
03-Jul-09 6
04-Jul-09 14
05-Jul-09 3
06-Jul-09 9
07-Jul-09 11
08-Jul-09 9
10-Jul-09 14
11-Jul-09 4
12-Jul-09 9
13-Jul-09 20
14-Jul-09 15
15-Jul-09 8
16-Jul-09 19
17-Jul-09 9
18-Jul-09 3
19-Jul-09 11
20-Jul-09 25
21-Jul-09 30
22-Jul-09 24
23-Jul-09 47
24-Jul-09 55
25-Jul-09 30
26-Jul-09 27
27-Jul-09 110
28-Jul-09 119
29-Jul-09 133
30-Jul-09 203
31-Jul-09 214
01-Aug-09 129
02-Aug-09 76
03-Aug-09 243
04-Aug-09 447
05-Aug-09 345
06-Aug-09 434
07-Aug-09 366
Epidemiology and Surveillance Directorate
4
08-Aug-09 216
09-Aug-09 161
10-Aug-09 158
11-Aug-09 522
12-Aug-09 531
13-Aug-09 324
14-Aug-09 277
15-Aug-09 172
16-Aug-09 194
17-Aug-09 480
18-Aug-09 303
19-Aug-09 309
20-Aug-09 323
21-Aug-09 360
22-Aug-09 235
23-Aug-09 128
24-Aug-09 485
25-Aug-09 404
26-Aug-09 372
27-Aug-09 262
28-Aug-09 259
29-Aug-09 132
30-Aug-09 122
31-Aug-09 309
01-Sep-09 190
02-Sep-09 207
03-Sep-09 169
04-Sep-09 105
05-Sep-09 30
06-Sep-09 37
07-Sep-09 116
08-Sep-09 76
10-Sep-09 51
11-Sep-09 35
12-Sep-09 16
13-Sep-09 13
14-Sep-09 29
15-Sep-09 40
16-Sep-09 37
17-Sep-09 27
18-Sep-09 23
19-Sep-09 7
20-Sep-09 8
21-Sep-09 16
22-Sep-09 9
23-Sep-09 4
25-Sep-09 4
26-Sep-09 5
Unknown 139
Total 11,729
Epidemiology and Surveillance Directorate
5
0
100
200
300
400
500
600
15-Jun-09
22-Jun-09
29-Jun-09
6-Jul-09
13-Jul-09
20-Jul-09
27-Jul-09
3-Aug-09
10-Aug-09
17-Aug-09
24-Aug-09
31-Aug-09
7-Sep-09
14-Sep-09
21-Sep-09
Figure 3: Distribution of H1N1 Cases by Day
Cases showed a relatively equal distribution in both males and females, though males
were mainly affected with 50%, Table 4.
Table 4: Distribution of Cases by Gender
Gender Number of cases Percent cases
Female 5,840 49.8
Male 5,826 49.7
Unknown 63 0.5
Total 11,729 100
Large number of cases were reported during week 32, 33 and 34, with 1 983, 1 713 and
1 181 respectively, compared to other weeks (Table 5).
Epidemiology and Surveillance Directorate
6
Table 5: Distribution of Cases by Week
Week Number of cases Percent
24 1 0
25 1 0
26 10 0.1
27 46 0.4
28 79 0.7
29 73 0.6
30 273 2.3
31 1,010 8.6
32 2,210 18.8
33 2,193 18.7
34 2,145 18.3
35 2,036 17.4
36 1,057 9.0
37 361 3.1
38 171 1.5
39 38 0.3
Unknown 25 0.2
Total 11,729 100.0
0
500
1000
1500
2000
2500
24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39
Week
Numberofcases
Figure 4: Distribution of Cases by Week
Epidemiology and Surveillance Directorate
7
Distribution of Cases by Week and Province
Cases peaked in week 32 in nearly all the Provinces, and then started to decrease slightly
with a significant mark during week 36.
0
200
400
600
800
1000
1200
1400
24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39
Week
NumberofCases
EC
LP
MP
NW
WC
NC
KZN
GP
FS
Figure 5: Trend Showing Distribution of Cases by Week
0
2000
4000
6000
8000
10000
12000
14000
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
TotalCases
Week
NumberofCases
FS
GP
KZN
NC
WC
NW
MP
LP
EC
Figure 6: Graph Showing Distribution of Cases by Week
2. Deaths cases review
Epidemiology and Surveillance Directorate
8
Death Cases were recorded in approximately 42 hospitals. Tygerberg hospital recorded
greatest cases of 9 followed by Kalafong Hospital with 6 death cases. As a result review of
case management is recommended in this particular hospital.
Table 6: Deaths by facility
Facility_Name Freq.
2 Military Hospital 1
2 Military Hospital / Tygerberg 1
3 Military Hospital 1
AMPATH-KZN 4
Addington Hospital 1
Albert Luthuli 1
Barberton Hospital 1
Beaufort West Hospital 1
Cecilia Makiwane Hospital 1
Chis Hani Baragwanath Hospital 1
City Hospital - Joint Medical Holdings 1
De Aar Municipal Clinic 1
Dietrich Voigt Mia Inc. 5
Dora Nginza hospital 3
Durbanville Medi-Clinic 1
Eben Donges Hospital 6
Eerste River Hospital 1
Elizabeth Hospital 1
GP Polokwane 1
George Hospital 2
Helderberg Hospital 1
Inkosi Albert Luthuli Central Hosp 1
Kalafong hospital 4
Karl Bremer Hospital 6
Kimberly Hospital 1
Kokstad, Egum 1
Life Empangeni Garden Clinic 1
Life Glynwood Hospital 1
Life Robinson Hospital 1
Livingstone Hospital 2
Lower Umfolozi War Memorial Hospital 1
Mafikeng General Hospital 1
Mahatma Gandhi 1
Mount Edgecombe Medical Centre 1
Paed PE 1
Paed Springs 1
Pelonomi Hospital 1
Phys Uitenhage 1
Pretoria West / Kalafong Hospital 1
Sunninghill Hospital 1
Tygerberg Hospital 9
Vergelegen Mediclinic 1
WYN 1
Epidemiology and Surveillance Directorate
9
Worcester Hospital 2
Wormest Hospital 1
Unknown 6
Total 84
Forty eight cases were recorded in females accounting for 57% compared to 43% in
males.
Table 7: Number of Deaths by Gender
Gender Number of deaths Percent
Female 48 57
Male 36 43
Total 84 100
48
36
Female
Male
Figure 8: Percentage of Deaths Cases by Gender
Epidemiology and Surveillance Directorate
ACKNOWLEDGEMENT
10
 National Institute for Communicable Diseases
 Communicable Disease control directorate
 Epidemiology and Surveillance Directorate
 Provinces
 World Health Organisation
 Stakeholders
Epidemiology and Surveillance Directorate
11
Epidemiology and Surveillance Directorate
12
Epidemiology and Surveillance Directorate
13

More Related Content

Viewers also liked

עמוד ענן עדכני
עמוד ענן עדכניעמוד ענן עדכני
עמוד ענן עדכני
artzihiba
 
Menaxhimi i Mirembajtjes
Menaxhimi i MirembajtjesMenaxhimi i Mirembajtjes
Menaxhimi i Mirembajtjes
Suzana Muja
 
מצגת מזומן מצטבר מקוצרת סופי
מצגת מזומן מצטבר מקוצרת סופימצגת מזומן מצטבר מקוצרת סופי
מצגת מזומן מצטבר מקוצרת סופי
artzihiba
 
Ways technology
Ways technologyWays technology
Ways technology
Trenton01
 
Leadership Development for School Management 2016.doc - Speaker
Leadership Development for School Management 2016.doc - SpeakerLeadership Development for School Management 2016.doc - Speaker
Leadership Development for School Management 2016.doc - Speaker
Matshego Rawula
 
Trabajo Práctico Final_Diseño Industrial 1_Cátedra Rondina_FADU_UBA
Trabajo Práctico Final_Diseño Industrial 1_Cátedra Rondina_FADU_UBATrabajo Práctico Final_Diseño Industrial 1_Cátedra Rondina_FADU_UBA
Trabajo Práctico Final_Diseño Industrial 1_Cátedra Rondina_FADU_UBA
Mariana Massigoge
 
Ch7 sect2
Ch7 sect2Ch7 sect2
Ch7 sect2
jtoma84
 
עובדים שכירים
עובדים שכיריםעובדים שכירים
עובדים שכירים
artzihiba
 
19.3 mod
19.3 mod19.3 mod
19.3 mod
jtoma84
 
Communism
CommunismCommunism
Communism
jtoma84
 

Viewers also liked (19)

עמוד ענן עדכני
עמוד ענן עדכניעמוד ענן עדכני
עמוד ענן עדכני
 
Menaxhimi i Mirembajtjes
Menaxhimi i MirembajtjesMenaxhimi i Mirembajtjes
Menaxhimi i Mirembajtjes
 
Credito rural
Credito ruralCredito rural
Credito rural
 
מצגת מזומן מצטבר מקוצרת סופי
מצגת מזומן מצטבר מקוצרת סופימצגת מזומן מצטבר מקוצרת סופי
מצגת מזומן מצטבר מקוצרת סופי
 
Ways technology
Ways technologyWays technology
Ways technology
 
My 5 minutes bell
My 5 minutes bellMy 5 minutes bell
My 5 minutes bell
 
22 spirituality vs science
22 spirituality vs science22 spirituality vs science
22 spirituality vs science
 
Leadership Development for School Management 2016.doc - Speaker
Leadership Development for School Management 2016.doc - SpeakerLeadership Development for School Management 2016.doc - Speaker
Leadership Development for School Management 2016.doc - Speaker
 
How to Use an Outsourced Call Centre to Achieve your Business Objectives?
How to Use an Outsourced Call Centre to Achieve your Business Objectives?How to Use an Outsourced Call Centre to Achieve your Business Objectives?
How to Use an Outsourced Call Centre to Achieve your Business Objectives?
 
Yahoo!プロモーション広告(スポンサードサーチ)のCSVで広告文を変更する方法
Yahoo!プロモーション広告(スポンサードサーチ)のCSVで広告文を変更する方法Yahoo!プロモーション広告(スポンサードサーチ)のCSVで広告文を変更する方法
Yahoo!プロモーション広告(スポンサードサーチ)のCSVで広告文を変更する方法
 
Science and spirtuality
Science and spirtualityScience and spirtuality
Science and spirtuality
 
Trabajo Práctico Final_Diseño Industrial 1_Cátedra Rondina_FADU_UBA
Trabajo Práctico Final_Diseño Industrial 1_Cátedra Rondina_FADU_UBATrabajo Práctico Final_Diseño Industrial 1_Cátedra Rondina_FADU_UBA
Trabajo Práctico Final_Diseño Industrial 1_Cátedra Rondina_FADU_UBA
 
Ch7 sect2
Ch7 sect2Ch7 sect2
Ch7 sect2
 
עובדים שכירים
עובדים שכיריםעובדים שכירים
עובדים שכירים
 
19.3 mod
19.3 mod19.3 mod
19.3 mod
 
Step Annual conferance 2016
Step Annual conferance 2016Step Annual conferance 2016
Step Annual conferance 2016
 
מס ריבוי דירות
מס ריבוי דירותמס ריבוי דירות
מס ריבוי דירות
 
Communism
CommunismCommunism
Communism
 
Stalin's Soviet Union - Social Impact
Stalin's Soviet Union - Social ImpactStalin's Soviet Union - Social Impact
Stalin's Soviet Union - Social Impact
 

Similar to H1N1 weekly update (29 September) final

Tb in children-proof (1)
Tb in children-proof (1)Tb in children-proof (1)
Tb in children-proof (1)
Hamdan Hamdan
 
Epidemiological Survey of University of Science and Technology Port Harcourt,...
Epidemiological Survey of University of Science and Technology Port Harcourt,...Epidemiological Survey of University of Science and Technology Port Harcourt,...
Epidemiological Survey of University of Science and Technology Port Harcourt,...
International Multispeciality Journal of Health
 

Similar to H1N1 weekly update (29 September) final (20)

Tb in children-proof (1)
Tb in children-proof (1)Tb in children-proof (1)
Tb in children-proof (1)
 
2010 TSANZ Annual Scientific Meeting
2010 TSANZ Annual Scientific Meeting 2010 TSANZ Annual Scientific Meeting
2010 TSANZ Annual Scientific Meeting
 
Influenza Pandemic and Beyond
Influenza Pandemic and BeyondInfluenza Pandemic and Beyond
Influenza Pandemic and Beyond
 
Imjh jun-2015-6
Imjh jun-2015-6Imjh jun-2015-6
Imjh jun-2015-6
 
P8 Spanish Hemovigilance. NATA 2014
P8 Spanish Hemovigilance. NATA 2014P8 Spanish Hemovigilance. NATA 2014
P8 Spanish Hemovigilance. NATA 2014
 
Health COVID-19 numbers 20 June
Health COVID-19 numbers 20 JuneHealth COVID-19 numbers 20 June
Health COVID-19 numbers 20 June
 
CANCER MORTALITY PUBLISHED
CANCER MORTALITY PUBLISHEDCANCER MORTALITY PUBLISHED
CANCER MORTALITY PUBLISHED
 
Imjh april-2015-6
Imjh april-2015-6Imjh april-2015-6
Imjh april-2015-6
 
Health Media Release
Health Media Release Health Media Release
Health Media Release
 
COVID-19 Media Release
COVID-19 Media ReleaseCOVID-19 Media Release
COVID-19 Media Release
 
Health media release 29 may 2020 v2
Health media release 29 may 2020 v2Health media release 29 may 2020 v2
Health media release 29 may 2020 v2
 
Health media release 30 may 2020 v2 2
Health media release 30 may 2020 v2 2Health media release 30 may 2020 v2 2
Health media release 30 may 2020 v2 2
 
STI data for south east 2016
STI data for south east 2016STI data for south east 2016
STI data for south east 2016
 
Combatting HIV/AIDS and TB in Africa
Combatting HIV/AIDS and TB in AfricaCombatting HIV/AIDS and TB in Africa
Combatting HIV/AIDS and TB in Africa
 
Cme tb 1
Cme tb 1Cme tb 1
Cme tb 1
 
Epidemiological Survey of University of Science and Technology Port Harcourt,...
Epidemiological Survey of University of Science and Technology Port Harcourt,...Epidemiological Survey of University of Science and Technology Port Harcourt,...
Epidemiological Survey of University of Science and Technology Port Harcourt,...
 
Corona update 6 CORONA INDIA IN JULY
Corona update 6 CORONA INDIA IN JULYCorona update 6 CORONA INDIA IN JULY
Corona update 6 CORONA INDIA IN JULY
 
Modeling the Ebola Outbreak in West Africa, November 4th 2014 update
Modeling the Ebola Outbreak in West Africa, November 4th 2014 updateModeling the Ebola Outbreak in West Africa, November 4th 2014 update
Modeling the Ebola Outbreak in West Africa, November 4th 2014 update
 
Cumulative number of confirmed COVID-19 cases in South Africa
Cumulative number of confirmed COVID-19 cases in South AfricaCumulative number of confirmed COVID-19 cases in South Africa
Cumulative number of confirmed COVID-19 cases in South Africa
 
parkinsons_disease_-_epidemiology_and_burden_updated.pptx
parkinsons_disease_-_epidemiology_and_burden_updated.pptxparkinsons_disease_-_epidemiology_and_burden_updated.pptx
parkinsons_disease_-_epidemiology_and_burden_updated.pptx
 

More from Stephina Mosidi Tshelane

More from Stephina Mosidi Tshelane (20)

Cleaning contract Mosidi Tshelane
Cleaning contract Mosidi TshelaneCleaning contract Mosidi Tshelane
Cleaning contract Mosidi Tshelane
 
Apps pl ayer
Apps pl ayerApps pl ayer
Apps pl ayer
 
Aerobic motivation
Aerobic motivationAerobic motivation
Aerobic motivation
 
Training schedule 2020
Training schedule 2020Training schedule 2020
Training schedule 2020
 
Training schedule
Training scheduleTraining schedule
Training schedule
 
Training schedule 2022
Training schedule 2022Training schedule 2022
Training schedule 2022
 
Training schedule 2021
Training schedule 2021Training schedule 2021
Training schedule 2021
 
Training 2019 schedule
Training 2019 scheduleTraining 2019 schedule
Training 2019 schedule
 
Buy short course or video
Buy short course or videoBuy short course or video
Buy short course or video
 
Kiddies party organizer
Kiddies party organizerKiddies party organizer
Kiddies party organizer
 
Access card and forms
Access card and formsAccess card and forms
Access card and forms
 
Access card and forms
Access card and formsAccess card and forms
Access card and forms
 
Business cards
Business cardsBusiness cards
Business cards
 
Calender design
Calender designCalender design
Calender design
 
Computer softwrae
Computer softwraeComputer softwrae
Computer softwrae
 
Internet
InternetInternet
Internet
 
Media advertisements
Media advertisementsMedia advertisements
Media advertisements
 
Media advertisements
Media advertisementsMedia advertisements
Media advertisements
 
Shop cart
Shop cartShop cart
Shop cart
 
Shutterstock
ShutterstockShutterstock
Shutterstock
 

H1N1 weekly update (29 September) final

  • 1. Cluster: Health Information, Epidemiology, Evaluation & Research PANDEMIC INFLUENZA A, H1N1 UPDATE SOUTH AFRICA, 12 JUNE TO 29 SEPTEMBER 2009 1. DISTRIBUTION OF CASES: On overall 11 729 H1N1 cases were recorded in South Africa 29 September 2009. Gauteng Province recorded greatest number of H1N1 cases (n=5 318) accounting for 45% of all the cases reported, followed by KwaZulu Natal and Western Cape Provinces with 17 % (n=2 008 and 1 963 respectively), Figure 1. The national case fatality rate (CFR) was 0.7, with a provincial range of 0 to 3.1; Northern Cape Province recorded the greatest CFR of 3.1% (Table 1). Table 1: Number of pandemic H1N1 2009 by province (31 August Update) Province of residence* Laboratory Confirmed Cases Percentage of Laboratory Confirmed Cases Deaths CFR (%) Eastern Cape 682 6 10 1.5 Free State 300 3 2 0.7 Gauteng 5 318 45 12 0.2 KwaZulu Natal 2 008 17 16 0.8 Limpopo 429 4 0 0 Mpumalanga 437 4 1 0.2 Northern Cape 98 1 3 3.1 Northwest 449 4 2 0.4 Western Cape 1 963 17 38 1.9 Unknown 45 0 South Africa 11 729 100 84 0.7 Epidemiology and Surveillance Directorate 1 OUTBREAKS REPORT IN SOUTH AFRICA
  • 2. Figure 1: Distribution of H1N1 Cases in South Africa DISTRIBUTION OF CASES BY VARIOUS VARIABLES Cases mainly peaked in the age group 10-14 years with 19% (Figure 2). The age group 5-19 years accounted for 54% of the cases. On the other hand, deaths peaked in the age group 25-29 years with 7 cases (Table 2). Epidemiology and Surveillance Directorate 2
  • 3. Table 2: Demonstrate distribution of Cases and Deaths by Age Group Age Group Number of cases % Number of Death <1 216 2 1 1-4 933 8 1 5-9 1,957 17 2 10-14 2,272 19 3 15-19 2,094 18 8 20-24 1,172 10 7 25-29 700 6 12 30-34 503 4 9 35-39 536 5 9 40-44 402 3 8 45-49 330 3 6 50-54 276 2 10 55-59 119 1 2 60-64 53 0 2 65+ 57 0 3 Ukn 109 1 1 SA 11 729 100 84 H1N1 weekly update (29 September) 0 500 1000 1500 2000 2500 <1 1-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65+U nknow n Date NumberofCases Figure 2: Distribution of Cases by Age Category Epidemiology and Surveillance Directorate 3
  • 4. The distribution of H1N1 cases by reporting date shows that cases peaked on the 12 August 2009 with 531 cases, however it should be noted that number of cases on this day differed from report to report thought the peak day remained consistent from the previous reports, this maybe as a result of data validation process. Cases substantially declined from 10 September to the 29 September 2009. Table 3: Recording Date Collection date 15-Jun-09 1 24-Jun-09 6 25-Jun-09 1 26-Jun-09 1 28-Jun-09 1 01-Jul-09 2 03-Jul-09 6 04-Jul-09 14 05-Jul-09 3 06-Jul-09 9 07-Jul-09 11 08-Jul-09 9 10-Jul-09 14 11-Jul-09 4 12-Jul-09 9 13-Jul-09 20 14-Jul-09 15 15-Jul-09 8 16-Jul-09 19 17-Jul-09 9 18-Jul-09 3 19-Jul-09 11 20-Jul-09 25 21-Jul-09 30 22-Jul-09 24 23-Jul-09 47 24-Jul-09 55 25-Jul-09 30 26-Jul-09 27 27-Jul-09 110 28-Jul-09 119 29-Jul-09 133 30-Jul-09 203 31-Jul-09 214 01-Aug-09 129 02-Aug-09 76 03-Aug-09 243 04-Aug-09 447 05-Aug-09 345 06-Aug-09 434 07-Aug-09 366 Epidemiology and Surveillance Directorate 4
  • 5. 08-Aug-09 216 09-Aug-09 161 10-Aug-09 158 11-Aug-09 522 12-Aug-09 531 13-Aug-09 324 14-Aug-09 277 15-Aug-09 172 16-Aug-09 194 17-Aug-09 480 18-Aug-09 303 19-Aug-09 309 20-Aug-09 323 21-Aug-09 360 22-Aug-09 235 23-Aug-09 128 24-Aug-09 485 25-Aug-09 404 26-Aug-09 372 27-Aug-09 262 28-Aug-09 259 29-Aug-09 132 30-Aug-09 122 31-Aug-09 309 01-Sep-09 190 02-Sep-09 207 03-Sep-09 169 04-Sep-09 105 05-Sep-09 30 06-Sep-09 37 07-Sep-09 116 08-Sep-09 76 10-Sep-09 51 11-Sep-09 35 12-Sep-09 16 13-Sep-09 13 14-Sep-09 29 15-Sep-09 40 16-Sep-09 37 17-Sep-09 27 18-Sep-09 23 19-Sep-09 7 20-Sep-09 8 21-Sep-09 16 22-Sep-09 9 23-Sep-09 4 25-Sep-09 4 26-Sep-09 5 Unknown 139 Total 11,729 Epidemiology and Surveillance Directorate 5
  • 6. 0 100 200 300 400 500 600 15-Jun-09 22-Jun-09 29-Jun-09 6-Jul-09 13-Jul-09 20-Jul-09 27-Jul-09 3-Aug-09 10-Aug-09 17-Aug-09 24-Aug-09 31-Aug-09 7-Sep-09 14-Sep-09 21-Sep-09 Figure 3: Distribution of H1N1 Cases by Day Cases showed a relatively equal distribution in both males and females, though males were mainly affected with 50%, Table 4. Table 4: Distribution of Cases by Gender Gender Number of cases Percent cases Female 5,840 49.8 Male 5,826 49.7 Unknown 63 0.5 Total 11,729 100 Large number of cases were reported during week 32, 33 and 34, with 1 983, 1 713 and 1 181 respectively, compared to other weeks (Table 5). Epidemiology and Surveillance Directorate 6
  • 7. Table 5: Distribution of Cases by Week Week Number of cases Percent 24 1 0 25 1 0 26 10 0.1 27 46 0.4 28 79 0.7 29 73 0.6 30 273 2.3 31 1,010 8.6 32 2,210 18.8 33 2,193 18.7 34 2,145 18.3 35 2,036 17.4 36 1,057 9.0 37 361 3.1 38 171 1.5 39 38 0.3 Unknown 25 0.2 Total 11,729 100.0 0 500 1000 1500 2000 2500 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 Week Numberofcases Figure 4: Distribution of Cases by Week Epidemiology and Surveillance Directorate 7
  • 8. Distribution of Cases by Week and Province Cases peaked in week 32 in nearly all the Provinces, and then started to decrease slightly with a significant mark during week 36. 0 200 400 600 800 1000 1200 1400 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 Week NumberofCases EC LP MP NW WC NC KZN GP FS Figure 5: Trend Showing Distribution of Cases by Week 0 2000 4000 6000 8000 10000 12000 14000 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 TotalCases Week NumberofCases FS GP KZN NC WC NW MP LP EC Figure 6: Graph Showing Distribution of Cases by Week 2. Deaths cases review Epidemiology and Surveillance Directorate 8
  • 9. Death Cases were recorded in approximately 42 hospitals. Tygerberg hospital recorded greatest cases of 9 followed by Kalafong Hospital with 6 death cases. As a result review of case management is recommended in this particular hospital. Table 6: Deaths by facility Facility_Name Freq. 2 Military Hospital 1 2 Military Hospital / Tygerberg 1 3 Military Hospital 1 AMPATH-KZN 4 Addington Hospital 1 Albert Luthuli 1 Barberton Hospital 1 Beaufort West Hospital 1 Cecilia Makiwane Hospital 1 Chis Hani Baragwanath Hospital 1 City Hospital - Joint Medical Holdings 1 De Aar Municipal Clinic 1 Dietrich Voigt Mia Inc. 5 Dora Nginza hospital 3 Durbanville Medi-Clinic 1 Eben Donges Hospital 6 Eerste River Hospital 1 Elizabeth Hospital 1 GP Polokwane 1 George Hospital 2 Helderberg Hospital 1 Inkosi Albert Luthuli Central Hosp 1 Kalafong hospital 4 Karl Bremer Hospital 6 Kimberly Hospital 1 Kokstad, Egum 1 Life Empangeni Garden Clinic 1 Life Glynwood Hospital 1 Life Robinson Hospital 1 Livingstone Hospital 2 Lower Umfolozi War Memorial Hospital 1 Mafikeng General Hospital 1 Mahatma Gandhi 1 Mount Edgecombe Medical Centre 1 Paed PE 1 Paed Springs 1 Pelonomi Hospital 1 Phys Uitenhage 1 Pretoria West / Kalafong Hospital 1 Sunninghill Hospital 1 Tygerberg Hospital 9 Vergelegen Mediclinic 1 WYN 1 Epidemiology and Surveillance Directorate 9
  • 10. Worcester Hospital 2 Wormest Hospital 1 Unknown 6 Total 84 Forty eight cases were recorded in females accounting for 57% compared to 43% in males. Table 7: Number of Deaths by Gender Gender Number of deaths Percent Female 48 57 Male 36 43 Total 84 100 48 36 Female Male Figure 8: Percentage of Deaths Cases by Gender Epidemiology and Surveillance Directorate ACKNOWLEDGEMENT 10
  • 11.  National Institute for Communicable Diseases  Communicable Disease control directorate  Epidemiology and Surveillance Directorate  Provinces  World Health Organisation  Stakeholders Epidemiology and Surveillance Directorate 11