HSRC Responds to the COVID - 19 Outbreak

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HSRC Responds to the COVID - 19 Outbreak
HSRC Responds to the COVID - 19 Outbreak

                        “Communities are at the heart of any disease
                         outbreak and health emergency response”
                   The HSRC launched the project “Street talk-Asikulume” at the end of March 2020 to gather crucial behavioural
          data to provide insights into the social dynamics of the South African population’s response to the COVID-19 outbreak.
The HSRC’s rapid assessment of social and behavioural factors is crucial to assist government mitigate the effects of the spreading epidemic.

                            Engaging communities regarding their knowledge, beliefs, practices and
                                attitudes in response to the COVID-19 outbreak in South Africa
HSRC Responds to the COVID - 19 Outbreak
INTRODUCTION
  We acknowledge and appreciate the excellent work that has been
   done with respect to the epidemiology and health care aspects of
   this disease
  We also appreciate the extensive work undertaken on the economic
   impact of the pandemic
  This survey provides a starting point to balance the country’s
   response at this tipping point in the fight against the pandemic: the
   socio-behavioural insights from South Africans
HSRC Responds to the COVID - 19 Outbreak
HEALTH PROMOTION AND WELL-BEING FRAMEWORK FOR OUTBREAK RESPONSE ACTION GUIDELINES

Health behaviour, health
information and health literacy
HSRC Responds to the COVID - 19 Outbreak
STUDY METHODS
Study design and population
 The HSRC’s research response to the COVID-19 outbreak employed a mixed methods approach with a
      Quantitative studies – panel surveys conducted online and telephonically
           General population survey 1: Socio-behavioural survey
           General population survey 2: Lockdown survey                                          Key
                                                                                              Informant
           Healthcare workers survey – www.hsrc.ac.za/heroes                                 Interviews

           Youth survey
           Data from surveys is benchmarked using the general population          Community
                                                                                    Informant
                                                                                   Interviews
             demographics based on Stats SA’s mid-year estimates allowing for
             generalisability of findings                                                             Cape Flats Case
                                                                                                          Study
                                                                                                             Photovoice

      Qualitative studies
          Key informant interviews
          Photovoice case studies
          Social media studies

      Study sample
           Sample of all South Africans aged 18 years and older communities, including healthcare
            workers
           Qualitative studies included interviews with informants including teachers, shebeen owners
            and sex workers
• Partnerships with UKZN, SAPRIN (Agincourt), Walter Sisulu University, NIHSS and Acumen Media were
  crucial for expansion into these communities
HSRC Responds to the COVID - 19 Outbreak
ANALYSING THE DATA
The data was benchmarked (weighted) to the distribution of South Africa’s adult population.
The mid-year adult population estimates from Statistics South Africa by age, sex, race, and province is used
in this process. This allows the data to be generalizable to the country.

 Source: https://www.healthcatalyst.com/in-pursuit-of-the-patient-
 stratification-gold-standard

                                                                                                               5
HSRC Responds to the COVID - 19 Outbreak
PRELIMINARY RESULTS OF LOCKDOWN SURVEY:
            8 – 24 APRIL 2020

  MOVING FROM LOCKDOWN TO COMMUNITY
        PARTICIPATION, MOTIVATION
            AND ENABLEMENT
HSRC Responds to the COVID - 19 Outbreak
DEMOGRAPHIC PROFILE BY RACE, SEX AND AGE
Out of a total of 19330 participants, the
majority (70%) were 25-59 years of age
                                                                            48%
                                                                                                       Female
              6%                                                                      52%
       8%               16%                                                                            Male

                                                                                  Slightly more than half of the
                                                                                  participants were females
                                            Age groups (years)

                                            18 - 24                Population group                %
                                            25 - 59              African               78.4%
            70%
                                            60 - 69
                                                                 White                 9.6%
                                                                 Coloured              9.0%
                                            70+
                                                                 Indian/Other          3.0%

                                                                                                          7
HSRC Responds to the COVID - 19 Outbreak
DEMOGRAPHIC PROFILE BY TYPE OF EMPLOYMENT
     Student
                                         8%
     Self employed
     Employed informal/part time               9%

     Unemployed                    37%
     Employed full time
                                                    10%

   • 36% of participants are
     unemployed
   • 10% had informal/part time
     work
   • 9% were self employed               36%

                                                          8
HSRC Responds to the COVID - 19 Outbreak
DEMOGRAPHIC PROFILE BY PROVINCE

                    Majority of participants were from Gauteng
                    (28%) & KwaZulu-Natal (18.3%)

                                                          9
DEMOGRAPHIC PROFILE BY COMMUNITY TYPE

                            Approximately one third of
                            participants stated their
                            community type was a
                            township (35.1%) and 1 in 5
                            indicated they were from a
                            rural community type
KNOWLEDGE ABOUT COVID-19 PREVENTION

 Staying 2 meters away from another person                   95.5                3.1 1.5

                           Wearing a mask           85.6             11.3          3.1

 Staying away from people who are infected                    96.8                1.5 1.8

       Not touching my nose, eyes and face                 92.7             5.3      2

Washing my hands frequently for 20 seconds                    97.4                 1.8 0.8

                                             75     80       85     90      95       100     105
                                                              Percentages (%)

                                  Yes    No       Dont know

                                                                                             11
RISK PERCEPTION

 Most participants
 perceived themselves to
 be at moderate or low risk
KEY MESSAGE 1
    What the findings tell us                 Logic for change                   Health promotion strategy:
                                             from data to action               health behavior change, health
                                                                                 literacy, information, policy

• Being in the situation of lockdown •   If the burden of disease is high •     As we lift the lockdown, preventive
  could have given 1 in 2 people a       and generalised, and mortality is      behaviour change has to be
  sense of security and so they          high, most people will perceive        intensified
  perceived themselves to be at low      themselves at high risk.
                                                                           •    All people of South Africa need to
  risk
                                     •   When the curve is flattened and        take responsibility for their own
• Only 1 in 5 people believe that        the burden of disease appears          behavior
  they are at high risk of infection     to be relatively low and          •    Targeted messages have to promote
                                         mortality low, then most people        voluntary behavior actions (hand
                                         will perceive themselves to be at      washing, social distancing and
                                         low risk (complacency due to
                                                                                masks)
                                         lockdown success)
                                                                           •    The tipping point is between the
                                     •   We may becomes victims of the          epidemiologic, the economic, and
                                         successes gained during the            the social/individual behaviors
                                         lockdown if preventive
                                         behaviours are not intensified
ADHERENCE TO LOCKDOWN REGULATIONS:
STAYING AT HOME BY AGE AND COMMUNITY TYPE

                       I have been at home since the start of lockdown, and have not left                           100                         Community type
                       I have had to leave to get food and medicine

                       I had to leave to collect a social grant                                                          80                 73
                                                                                                                                 65                                                                  67
                       I spend a lot of my time visiting my friends and neighbours and                                                                    60

                                                                                                        Percentage (%)
                       socialising                                                                                       60                                               57
            100                                                                                                                                                                       49

                                                                                                                         40                                                          38
                  80                                                                                                           32                        29            27
                              62                              64            65                                                             25                                                       26
                  60                          51                                          54                             20                                                 13            11
                                                                                                                                                     0        10
 Percentage (%)

                                           39                                                                                         30                                                                  53
                  40                                                                     34                                                      3                 2             2             2
                           30                              28
                                                                           23                                            0
                                                                                                                                 City      Suburb        Township       Informal      Rural          Farm
                  20                                                            12             12
                                   7               63              6                                                                                                   settlement (Traditional
                                       1                               1             0              0                                                                             tribal area)
                  0
                            All ages         18 - 24         25 - 59       60 - 69            70+                             30% had not left home since the start of lock
                                                                                                                              down and 62% had left to get food/medicine

                                                                                                                                                                                               14
KEY MESSAGE 2

    What the findings tell us             Logic for change               Health promotion strategy:
                                         from data to action          health behavior change, health
                                                                            literacy, information
The majority of people adhered This is important to build upon. The message is South Africa you
to the regulations:               The country needs to move         can do it to save lives. Take control
The results show that 99%         from a situation of being in lock of your lives to prevent you, your
either left their homes for food, down to appealing for             family and your neighbours from
medicine and social grants or community participation and contracting the Corona virus.
stayed home.                      invoking the spirit of Ubuntu.
ADHERENCE TO LOCKDOWN REGULATIONS:
CONTACT WITH PEOPLE DURING LOCKDOWN
(While you were away from home, how many people did you come into close contact with? (within 2 metres)

Only 20% indicated that
they had not left home,
                                           20%
8% had met with more
than 50 people
                                                                   29%
                                    8%

                                    9%

                                         12%
                                                            23%

         1 to 3 people    4 to 10    11 to 20    21 to 50    More than 50 people    Have not left home

                                                                                                   16
KEY MESSAGE 3
  What the findings tell us                Logic of change                     Health promotion strategy:
                                         from data to action                health behavior change, health
                                                                            literacy, information, policy and
                                                                                 economic interventions
29% of people reported that      It is important to use the psychosocial The message is that South Africans have to
they came into close contact     and behavioural determinants to build disrupt their social relations and activities
with 10 or more people during    a targeted culturally appropriate       in order to save lives, by adopting social
the past 7 days when out of      behaviour change approach regarding distancing. Anyone can be infectious with
their homes.                     social distancing and its meaning in    or without symptoms, so everyone needs
                                 the local context. To deconstruct our to have a duty to protect others by
                                 normal lives so as to break the chain wearing a mask whenever out of one’s
15% had to use public            of transmission.                        home. The message is for public transport
transport to get to the shops.                                           to disinfect the taxis and ensure the use of
                                                                         masks and social distancing inside the taxis
                                                                         and at taxi ranks. (Enabling messages
                                                                         about what you can do rather than what
                                                                         you cannot do).
ACCESS TO ESSENTIALS DURING LOCKDOWN:
FOOD                                                     Just under a quarter
                                                         (24%) of residents had
                                                         no money to buy food
We can buy from a shop
within walking distance from     24%         25%         More than half (55%) of
my house                                                 informal settlement
We can buy from a shop,                                  residents had no money
which I reach using a taxi/bus                           for food
(public transport)
We can buy from a shop,
                                                         About two-thirds of
which I reach using my car
                                                   15%   residents from townships
We do not have enough                                    also had no money for
money to buy food during the                             food
lockdown
                                       36%

                                                                            18
ACCESS TO ESSENTIALS DURING LOCKDOWN:
       CHRONIC MEDICATION
       •          Approximately 13.2% of the population indicated that their chronic medication was inaccessible during the
                  lockdown.
       •          Approximately 13%-25% of those living in informal settlements, rural (traditional tribal areas) and farms
                  indicated their chronic medications were not easily accessible.

                 60                                                    53.1                   53.8             51.5
                                                 49.9                                                                                                    50.3
                 50      44.5                                                                                                             45.5
Percentage (%)

                 40
                                                     30.7                                                                              30.3
                 30           25.6                                                                   25.3                                                       23.2
                      18.7                                                 20.3                                        19.8
                 20                                                            14.8              14.4       16.3
                                    11.2     12.2                  11.8                                            12.4          11.6          12.7   13.3         13.2
                 10                                         7.2                         6.5

                  0
                             City                Suburb               Township        Informal settlement Rural (Traditional            Farm                 Overall
                                                                                                             tribal area)
                                                                                      Community type

                                      Very accessible in the house or village                                  Accessible at a nearby clinic /pharmacy
                                      Accessible at a shop/pharmacy in town                                    Not easily accessible

                                                                                                                                                             19
KEY MESSAGE 4
    What the findings tell us                Logic of change               Health promotion strategy:
                                           from data to action           health behavior change, health
                                                                                 literacy, policy

13% of people reported that        Impoverished and remote               We need to build a social
their chronic medication was       communities continue to face          compact to create a new model
inaccessible during lock down,     barriers to health care access.       between health care system
with over 20% of people from       Those people who are struggling to    and the local community at
informal settlements and rural/    access chronic medication will also   municipal level. The message is
traditional areas reporting that   struggle to access services related   to take the medicines to the
their chronic medication was       to COVID-19. It is important to       home. Learn from the Cuban
inaccessible during lock down.     relook at primary health care at a    experience.
                                   municipal ward level and to re-
                                   examine the role of community
                                   health workers, family caregivers
                                   and youth.
DETERMINANTS OF BEHAVIOUR: FINANCIAL CAPABILITY

I feel that the Coronavirus lockdown will make
                                                                     62.7 14.3        22.9
         it difficult to pay my bills/debts

I feel that the Coronavirus lockdown is making
                                                                    60.3         16   23.7
          it difficult to earn my income

I feel that the Coronavirus lockdown will make
                                                                   57.5     16.7      25.7
           it difficult to feed my family

I feel that the Coronavirus lockdown is making
                                                            45.1          23.2        31.7
             it difficult to keep my job

                                                 0     20    40     60      80          100   120
                                                              Percentages (%)

                                   Agree     Neutral    Disgree

                                                                                              21
KEY MESSAGE 5
     What the findings tell us                     Logic of change                 Health promotion strategy:
                                                 from data to action            health behavior change, health
                                                                                literacy, information, economic
                                                                                            and policy
Between 45% and 63% of people            Structure the package and expand the The message is that the government
reported that the lock down would        reach of the government’s economic and society as a whole acknowledges
make it difficult to pay bills, debts,   and social relief programmes, in a way that some communities are struggling
earn income, feed their families and     that every person feels that they are and people may have no money to
keep their jobs. Additionally, 26% of    being taken care of, and in a way that buy food
people reported that they had no         is accountable at all levels with
                                                                                Create a social compact with
money for food.                          immediate consequences for             communities and the public and
                                         violations.                            private sector, to ensure sustainable
                                                                               financial and social relief. This should
                                                                               include promoting intergenerational
                                                                               cohesion, sustainable food banks at
                                                                               the level of the district.
ADHERENCE TO LOCKDOWN REGULATIONS:
ACCESS TO ALCOHOL AND CIGARETTES
                                                                                                          Cigarettes were more accessible than
                                                                                                          alcohol during lockdown. A quarter of
                                                                                                          people from informal settlements were
                                                                                                          able to buy cigarettes during lockdown.
                  25                                                                             24

                  20
                                                                                 16
 Percentage (%)

                  15
                             12
                                             10                                                                      10 10
                  10                                            8
                                  7                 7                                 7               7                                7     7
                                                                    6
                                                                                             4                   4
                   5                                                       3
                         3              2                                                                                         2
                                                            1
                   0
                          Overall            City           Suburb         Township          Informal        Rural (Traditional       Farm
                                                                                            settlement          tribal area)
                       Able to buy alcohol              Able to buy cigarettes            Able to drink alcohol with your friends

                                                                                                                                                 23
KEY MESSAGE 6
    What the findings tell us           Logic of change          Health promotion strategy:
                                      from data to action      health behavior change, health
                                                                 literacy, information, policy

Cigarettes (12%) were more      One in five people in South    This highlights the need for
accessible than alcohol (3%)    Africa currently smoke, and    tobacco control interventions
during lockdown. A quarter of   approximately one in ten       to prevent illicit trade and
people from informal            smokers were able to access    smuggling. The results also
settlements were able to buy    cigarettes during lock down.   call for better regulation of
cigarettes during lockdown.     The continued access to        tobacco sales in informal
                                cigarettes in informal         markets.
                                settlements could imply
                                informal trade.
EXPERIENCE WITH LAW ENFORCEMENT

 I have not been involved with them at all                                                   74.8

  I have been treated badly and in a very
                                                          14.7
           rough/rude manner

            I have been treated fairly well         7.0

    I have been treated very well and in a
                                                  3.5
             respectful manner

                                              0    10      20    30    40 50       60   70    80
                                                                 Percentages (%)
 The overwhelming majority of residents (75%) had
 no interaction with law enforcement, 14.7% of the
 residents indicated that they were treated badly

                                                                                             25
KEY MESSAGE 7
    What the findings tell us            Logic of change              Health promotion strategy:
                                       from data to action         health behavior change, health
                                                                     literacy, information, policy

The majority of people were not The speedy introduction of        Provide clear guidance and
involved with law enforcement at regulations without guidance     support to people so that they
all                              and support sets people up for   are able to adhere to regulations
15% of people were treated       failure                           Acknowledge that it is difficult
badly/roughly                   Need to be sensitive to the        for people to make these major
                                major disruption to people’s lives changes willingly in order to
                                In order to ensure that the law is protect their families and
                                enforced, they play multiple       communities
                                roles (education and           Law enforcement should be
                                information, enforcement laws, provided with clear guidelines
                                social support)                and support to enable them to
                                                               deal with intentional violators
                                                               and risk takers
CLOSING REMARKS

 We are in a moment of psychological crisis, the situation is immediate.
 We have empirical data that shows goodwill, solidarity and Ubuntu
 South Africans are saying “we have your back” however
    Medium term there will be challenges and we will be more open to scrutiny and
     debate
    The difficulties in accessing essentials such as food and medicines will erode goodwill
• The survey has shown that we have a window of immediate opportunity
                                                                       - Prof Crain Soudien

                                                                                     27
THANK YOU

Thank you to South Africans for sharing their views, perceptions
and thoughts with us by participating in the survey and for
sharing the survey link with their networks

                                                              28
THANK YOU
 Undertaking a project rapidly in the face of a public health emergency requires a strong
  collaborative team working under pressure to provide the country with important
  socio-behavioural and social data.
 Thanks are due not only to HSRC staff across the organisation, but also to key partners
  in implementing the survey
 Thank you to influencers and media personalities for encouraging participation of the
  survey and recording public health messaging
 Thank you to the Department of Science and Innovation for your ongoing support and
  strategic direction, particularly DG Phil Mjwara and DDG Imraan Patel and their staff

                                                                                     29
STAKEHOLDERS AND PARTNERS
   University of KwaZulu-Natal
   Walter Sisulu University
   KwaZulu-Natal Department of Health
   South African Population Research Infrastructure (SAPRIN)
   South African Population Research Infrastructure (SAPRIN) Agincourt
   Harambee Youth Employment Accelerator
   Banking Council
   First National Bank
   Acumen Media
   Research and Academia for supporting the survey through extensive networks
   BINU/Moya Messaging platform
   National Institute for the Humanities and Social Sciences (NIHSS)
   Government Communication and Information System (GCIS) and their networks and partners
   Higher Health
   Communication Cluster Advisory Group
   Anti-COVID-19 group facilitated by University of KwaZulu-Natal
   HIV and TB Healthworkers Hotline

                                                                                             30
HUMAN SCIENCES RESEARCH COUNCIL
Prof Priscilla Reddy       Dr Natisha Dukhi        Ms Lehlogonolo Makola      Ms Thembokuhle Mkhwanazi
Prof Crain Soudien         Mr Mmakotsedi Magampa   Ms Thelma Oppelt           Ms Jill Ramlochan
Prof Leickness Simbayi     Dr Shandir Ramlagan     Dr Razia Gaida             Mr Simphiwe Zondi
Prof Khangelani Zuma       Ms Konosoang Sobane     Mr Mohudi Mpayana          Ms Sue Samuels
Dr Glenda Kruss            Ms Ronel Sewpaul        Dr Thabang Manyaapelo      Ms Khanya Vilakazi
Dr Sizulu Moyo             Ms Estelle Krishnan     Ms Khanyisa Mkhabele       Ms Sinazo Ndiki
Ms Yolande Shean           Ms Monalisa Jantjies    Ms Noloyiso Vondo          Ms Nokuzo Lawana
Dr Gerard Ralphs           Ms Vuyiseka Mpikwa      Mr Lebohang Makobane       Ms Sharon Felix
Dr Donald Skinner          Mr Derrick Sekgala      Ms Tenielle Schmidt        Ms Tshegofatso Ramaphakela
Mr Michael Gastrow         Mr Sintu Mavi           Ms Phila Dyanti            Mr Samela Mtyingizane
Prof Sibusiso Sifunda      Ms Lelethu Busakwe      Ms Philisiwe Ndlovu        Mr Benelton Jumath
Dr Allanise Cloete         Ms Anele Slater         Mr Seipati Mokhema         Ms Thobeka Zondi
Ms Manusha Pillai          Mr Adlai Davids         Ms Nokubonga Zondi         Ms Ndiphiwe Mkuzo
Ms Alicia North            Mr Viwe Sigenu          Mr Puleng Hlanyane         Mr Ngqapheli Mchunu
Ms Ilze Visagie            Dr Jacqueline Mthembu   Mr Nangipha Mnandi         Ms Nandipha Mshumpela
Dr Inba Naidoo             Ms Audrey Mahlaela      Mr Managa Rodney           Mr Adziliwi Nematandani
Ms Antoinette Oosthuizen   Dr Whadi-ah Parker      Dr Tholang Mokhele         Ms Charlotte Nunes
Dr Finn Reygan             Mr Luthando Zondi       Dr Gina Weir-Smith         Mr Snethemba Mkhize
Ms Andrea Teagle           Dr Musawenkosi Mabaso   Mr Frederick Tshitangano   Ms Zodwa Radasi
Ms Kim Trollip             Ms Juliet Mokoele       Ms Feziwe Mseleni          Ms Phumla Dladla
Ms Goitseone Maseko        Mr Sean Jooste          Ms Sinovuyo Takatshana     Ms Yamkela Majikijela
Mr Antonio Erasmus         Dr Jeremiah Chikovore   Mr Xolisa Magawana         Ms Bongiwe Nxele
Dr Saahier Parker          Mr Noor Fakier          Ms Octavia Rorke           Mr Melton Kiewietz
Ms Erika Lewis and team    Ms Marizane Rousseau    Ms Claudia Nyawane         Mr Diederick Terblanche and team
Ms Lindiwe Mashologu       Ms Lee-Ann Fritz        Ms Faith Ngoaile           Prof Alastair van Heerden
                                                                              Mr Phillip Joseph & team

                                                                                                          31
UKZN STAFF, VOLUNTEER MEDICAL STUDENTS AND AGINCOURT STAFF

Prof Mosa Moshabela         Athisiviwe Macingwane          Excellent    Nkune       Siphamandla    Nkosi         Prof. Stephen Tollman
Dr Nisha Nadesan-Reddy      Athisiviwe       Macingwane    Nosihle      Hlophe      Mohamed        Suleman       Prof. Kathleen Kahn
Weziwe         Ngophe       Camille Simone Matthews        Mxoli        Xulu                                     Prof. Francesc Xavier Gomez-Olive
                                                                                    Sihle          Dayimani
Zinzi Melody    Nkwanyana   Celeka           Ndamase       Luyanda      Dube                                     Daniel Ohene-Kwofie
                            Celinhlanhla      Mngomezulu
                                                                                    Zinhle         Mzobe
Xolani         Ntembe                                      Philani      Mbhele      Zamanthusi     Miya          Pedzisai Ndagurwa
                            Charles          Arineitwe     Sihle        Dayimani
Gugulethu      Shange                                                               Mphilisi       Siyaya        Ngonidzashe Ngwarai
                            Cheshni          Jeena
Kiara          Ramauthar                                   Sphiwo       N Tom       Sibabalwe      Dobe          Mercyful Mdluli
                            Gcinile          Masondo
Kwanele        Mcunu                                       Ncebakazi    Mbiko                                    Zanele Cossa
                            Hawa             Chandlay                               Christen-Joy   Winnaar
Loueen         Thiessen                                    Sandiswa     Mdlalana                                 Nkateko Nyathi
                            Khumbulani       Mlambo                                 Ayanda         Ndlovu
Lungelo        Ntuli        Lindokuhle       Mbambo        Lizo         Mdolo                                    Wisani Maphanga
                                                                                    Hluvuko        Ndindani
Lungelo        Mambane      Mbalenhle         Mzimela      Mgayi        Cwangco                                  Corlia Khoza
                                                           Justine      Govender
                                                                                    Naeema         Suleman
Lusanda        Magwenyane   Mkentane         Zizipho                                                             Annelie Lubisi
Rishay         Dayalal                                     Anelisa      Kani        Sinentlahla    Qadi
                            Mthobeli         Mntuyedwa                                                           Thandiwe Hlatswayo
Amina          Ahmed                                       Azizipho     Nobanda     Bongani        Mafuleka
                            Musawenkosi      Mthembu                                                             Polite Thibela
Gugulethu      Shange       Naomi Beth       Conolly       Caitlin      Govender    Philile        Madela
                                                                                                                 Monareng Nester
Kwanele        Mcunu        Nduduzo Eric     Nxumalo       Khadija      Gannie      Atiyyah        Ameen
                                                                                                                 Theodorah Mnisi
Lindelani      Sithole      Philasande       Dube          Mliya        Ali         Nozuko         Lawana        Sagwati Malumane
Loueen         Thiessen     Phindokuhle      Mathenjwa     Navitha      Singh       Samela         Mtyingizane   Solly Ndlovu
Lungelo        Ntuli        Priyanka Sria    Chetty        Zinhle       Mzobe       Mohundi        Mpyana        Simon Ndzimande
Lusanda        Zwane        Reena            Panicker      Zahrah       Timol       Mkhize         Minenhle      Prosperous Mlangeni
Minenhle       Gumbi        Robyn            Milton        Zamambotho   Mabozo      Teddy Monde    Ngobese       Agnes Themba
Minenhle N.    Mthembu      Sibiya           Sinethemba    Toni         Renton      Yolanda        Wyatt         Safira Sibuyi
Noluthando     NM Phehle    Sifiso Siboniso Zondi          Xolani       Ntembe      Siyabonga      Mtshali       Thuli Wavele
Nonhlanzeko    Ndlovu       Sinenhlanhla     Mthembu Sne   Thobeka      Mkhwanazi   Snakhokonke    Makhanya      Iyander Ngobeni
Rishay         Dayalal      Siphelele        Zondi         Thamsanqa    Zakwe
                            Sphamandla       Nkosi         Thandeka     Magubane
Sabelo         Moyana
                            Sunhera          Sukdeo
sibongokuhle sithole                                       Thandeka     Nkambule
                            Tandile          Nongqoqo
Sihalaliso     Motha
                            Tiara            Maharaj
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