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31 results on '"Combrink, Herkulaas"'

1. Reinforcement Learning in Education: A Multi-Armed Bandit Approach

Author

Combrink, Herkulaas, Marivate, Vukosi, and Rosman, Benjamin

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computers and Society
Abstract

Advances in reinforcement learning research have demonstrated the ways in which different agent-based models can learn how to optimally perform a task within a given environment. Reinforcement leaning solves unsupervised problems where agents move through a state-action-reward loop to maximize the overall reward for the agent, which in turn optimizes the solving of a specific problem in a given environment. However, these algorithms are designed based on our understanding of actions that should be taken in a real-world environment to solve a specific problem. One such problem is the ability to identify, recommend and execute an action within a system where the users are the subject, such as in education. In recent years, the use of blended learning approaches integrating face-to-face learning with online learning in the education context, has in-creased. Additionally, online platforms used for education require the automation of certain functions such as the identification, recommendation or execution of actions that can benefit the user, in this sense, the student or learner. As promising as these scientific advances are, there is still a need to conduct research in a variety of different areas to ensure the successful deployment of these agents within education systems. Therefore, the aim of this study was to contextualise and simulate the cumulative reward within an environment for an intervention recommendation problem in the education context., Comment: 17 pages, 6 figures, 1 table, EAI AFRICATEK 2022 Conference

Published
2022

2. A Framework for Undergraduate Data Collection Strategies for Student Support Recommendation Systems in Higher Education

Author

Combrink, Herkulaas MvE, Marivate, Vukosi, and Rosman, Benjamin

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Understanding which student support strategies mitigate dropout and improve student retention is an important part of modern higher educational research. One of the largest challenges institutions of higher learning currently face is the scalability of student support. Part of this is due to the shortage of staff addressing the needs of students, and the subsequent referral pathways associated to provide timeous student support strategies. This is further complicated by the difficulty of these referrals, especially as students are often faced with a combination of administrative, academic, social, and socio-economic challenges. A possible solution to this problem can be a combination of student outcome predictions and applying algorithmic recommender systems within the context of higher education. While much effort and detail has gone into the expansion of explaining algorithmic decision making in this context, there is still a need to develop data collection strategies Therefore, the purpose of this paper is to outline a data collection framework specific to recommender systems within this context in order to reduce collection biases, understand student characteristics, and find an ideal way to infer optimal influences on the student journey. If confirmation biases, challenges in data sparsity and the type of information to collect from students are not addressed, it will have detrimental effects on attempts to assess and evaluate the effects of these systems within higher education., Comment: 14 pages, 4 figures, Proceedings of the 2020 SACAIR Conference

Published
2022

3. Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases

Author

Combrink, Herkulaas MvE, Marivate, Vukosi, and Rosman, Benjamin

Subjects
Computer Science - Machine Learning
Abstract

The ability to generate synthetic data has a variety of use cases across different domains. In education research, there is a growing need to have access to synthetic data to test certain concepts and ideas. In recent years, several deep learning architectures were used to aid in the generation of synthetic data but with varying results. In the education context, the sophistication of implementing different models requiring large datasets is becoming very important. This study aims to compare the application of synthetic tabular data generation between a probabilistic model specifically a Bayesian Network, and a deep learning model, specifically a Generative Adversarial Network using a classification task. The results of this study indicate that synthetic tabular data generation is better suited for the education context using probabilistic models (overall accuracy of 75%) than deep learning architecture (overall accuracy of 38%) because of probabilistic interdependence. Lastly, we recommend that other data types, should be explored and evaluated for their application in generating synthetic data for education use cases., Comment: 11 paged, 5 figures, Proceedings for the SACAIR 2023 Conference

Published
2022

4. First-Year Student Transition at the University of the Free State during COVID-19: Challenges and Insights

Author

Combrink, Herkulaas M. v. E. and Oosthuizen, Lauren L.

Abstract

First-year seminars and university induction programmes are embedded with academic and social skills required by students to transition into their first year of study. The first-year seminar at the University of the Free State is a credit-bearing module called UFS101, and is a prerequisite for degree completion. Students are assessed through summative assessment opportunities throughout the year. In 2020, the UFS101 module embarked on new territory by condensing the contact time for the first semester into a week-long summer school. Furthermore, the summer school was presented a week prior to the start of university, with repeat sessions during the first week of class, and during the March holiday. However, due to national lockdown regulations as a result of COVID-19, a part of the cohort had to self-study the content via an interactive online study guide. This created four distinct groups of students: those who attended face-to-face classes, some face-to-face classes and some self-study, self-study only, and students who could not access the content. In order to measure their transition into university, a questionnaire was distributed to the students, and the results were stratified according to one of the aforementioned categories. Unique similarities and differences were observed in the findings. The results depict that effective content design is at the heartbeat of student transition, but that other factors such as face-to-face interaction with students, and access to resources assist with the transition into university. This study highlighted the need to explore the challenges students experience within their first six months at university, and substantiates that this type of exploration should be routinely conducted to assist with the understanding and implementation of first-year student support.

Published
2020

5. Reinforcement Learning in Education: A Multi-armed Bandit Approach

Author

Combrink, Herkulaas MvE, Marivate, Vukosi, Rosman, Benjamin, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Masinde, Muthoni, editor, and Bagula, Antoine, editor

Published
2023
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6. Mapping the South African health landscape in response to COVID-19

Author

Mtsweni, Nompumelelo, Combrink, Herkulaas MvE, and Marivate, Vukosi

Subjects
Computer Science - Computers and Society
Abstract

When the COVID-19 disease pandemic infiltrated the world, there was an immediate need for accurate information. As with any outbreak, the outbreak follows a clear trajectory, and subsequently, the supporting information for that outbreak needs to address the needs associated with that stage of the outbreak. At first, there was a need to inform the public of the information related to the initial situation related to the "who" of the COVID-19 disease. However, as time continued, the "where", "when" and "how to" related questions started to emerge in relation to the public healthcare system themselves. Questions surrounding the health facilities including COVID-19 hospital bed capacity, locations of designated COVID-19 facilities, and general information related to these facilities were not easily accessible to the general public. Furthermore, the available information was found to be outdated, fragmented across several platforms, and still had gaps in the data related to these facilities. To rectify this problem, a group of volunteers working on the covid19za project stepped in to assist. Each member leading a part of the project chose to focus on one of four problems related to the challenges associated with the Hospital information including: data quality, data completeness, data source validation and data visualisation capacity. As the project developed, so did the sophistication of the data, visualisation and core function of the project. The future prospects of this project relate to a Progressive Web Application that will avail this information for the public as well as healthcare workers through comprehensive mapping and data quality., Comment: Accepted for KDD 2020 Workshop on Humanitarian Mapping

Published
2020

7. Use of Available Data To Inform The COVID-19 Outbreak in South Africa: A Case Study

Author

Marivate, Vukosi and Combrink, Herkulaas MvE

Subjects
Computer Science - Computers and Society, Statistics - Applications
Abstract

The coronavirus disease (COVID-19), caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organization (WHO) in February 2020. Currently, there are no vaccines or treatments that have been approved after clinical trials. Social distancing measures, including travel bans, school closure, and quarantine applied to countries or regions are being used to limit the spread of the disease and the demand on the healthcare infrastructure. The seclusion of groups and individuals has led to limited access to accurate information. To update the public, especially in South Africa, announcements are made by the minister of health daily. These announcements narrate the confirmed COVID-19 cases and include the age, gender, and travel history of people who have tested positive for the disease. Additionally, the South African National Institute for Communicable Diseases updates a daily infographic summarising the number of tests performed, confirmed cases, mortality rate, and the regions affected. However, the age of the patient and other nuanced data regarding the transmission is only shared in the daily announcements and not on the updated infographic. To disseminate this information, the Data Science for Social Impact research group at the University of Pretoria, South Africa, has worked on curating and applying publicly available data in a way that is computer-readable so that information can be shared to the public - using both a data repository and a dashboard. Through collaborative practices, a variety of challenges related to publicly available data in South Africa came to the fore. These include shortcomings in the accessibility, integrity, and data management practices between governmental departments and the South African public. In this paper, solutions to these problems will be shared by using a publicly available data repository and dashboard as a case study., Comment: Accepted for publication in the Data Science Journal

Published
2020

8. Social discounting in a symmetric giving and taking frame: An artifactual field experiment with young South African adults.

Author

Booysen, Frederik, Guvuriro, Sevias, and van Eyssen Combrink, Herkulaas Morkel

Abstract

In the dictator game, the evidence that giving is equivalent to taking is mixed. The purpose of this study was to investigate framing effects (giving/taking) on social‐discounting rates among young African adults from an informal settlement in South Africa. Employing a within‐participant design, these young adults completed a series of incentivized dictator games with an isomorphically equivalent giving and taking frame at each of eight social distances. Altruism was measured by the social‐discounting rate, and framing effects were assessed using generalized linear regression. The study provides empirical evidence that prosocial behavior among young South African adults is subject to framing because exponential, hyperbolic, and q‐exponential social‐discounting rates in all instances were lower in the taking than in the giving frame. This difference may be the result of greater "egalitarianism" and "selflessness" elicited by the taking frame, which likely is a product of the experiment's particular social and economic field context. More comparative research is required to establish the working of specific mechanics of morality that may operate differently in diverse socioeconomic contexts, thus contributing to elucidating the heterogeneous nature of findings in this area of study. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Risk factors for COVID-19-related in-hospital mortality in a high HIV and tuberculosis prevalence setting in South Africa: a cohort study

Author

Abdullah, Shaina, Abrahams, Fiona, Adams, Vincentius, Adnane, Fhima, Adoni, Sonia, Adoons, Dieketso Melitta, Africa, Veronique, Aguinaga, D, Akach, Susan, Alakram Khelawon, Prisha, Aldrich, George, Alesinloye, Olatunde, Aletta, Mathale Biniki, Alice, Mametja, Aphane, Tebogo, Archary, Moherndran, Arends, Felicity, Arends, Shireen, Aser, Munonde, Asmal, T, Asvat, Mohammed, Avenant, Theunis, Avhazwivhoni, Muvhali, Azuike, Magnolia, Baartman, Johanna, Babalwa, Dlava, Badenhorst, Johan, Badenhorst, Miranda, Badripersad, Bianca, Badul, Lalihla, Bagananeng, M, Bahle, Mncedisi, Balfour, Liezl, Baloyi, T C, Baloyi, S, Baloyi, Tinyiko, Baloyi, Tshepo Mpho, Banda, Thokozani, Barit, Shimon, Bartsch, Nicole, Bayat, Junaid, Bazana, Siyabulela, Beetge, Marlene, Bekapezulu, Nosindiso, Belebele, Rammala, Bella, Phala, Belot, Zanenkululeko, Bembe, Lindi Gladys, Bensch, Sonja, Beukes, Gishma, Bezuidenhout, Karla, Bhembe, Themba, Bikisha, N A, Bilenge, Ben, Bishop, Leesa, Biyela, Baphamandla, Blaauw, Cyntheola, Blaylock, Mark, Bodley, Nicola, Bogale, Power, Bokolo, Sibongile, Bolon, Stefan, Booysen, Mary, Booysen, Eldereze, Boretti, Lia, Borges, Paula, Boshoga, Millicent, Bosman, Natasha, Bosvark, Lucinda, Botes, Nicky, Botha, Adele, Botha, Chantall, Botha, Jana, botha, Chantall, Botha, Mandlakayise Irvin, Botha, Alet, Bradbury, Janet, Breakfast, Zandisile, Breed, Maria, Brenda, Molele, Brice, Moshito, Britz, Jolene, Brown, Amanda, Buchanan, T, Bucwa, Thozama, Burger, Crystelle, Busakwe, Ziyanda, Bushula, Nosiviwe, Buthelezi, Zinhle, Buthelezi, Dumsile, Buthelezi, Thubelihle, Buthelezi, Mpumelelo Basil, Buthelezi, Fundiswa Lidwina, Bux, Nadia, Buys, Christoff, Buys, Anneline, Caka, Ernestina, Canal, Armando Sanchez, Caroline, Sithole, Casper, Monrick, Cawood, Shannon, Cebisa, Oratile, Cele, Nothando, Cele, Sboniso, Cele, Sthembile Goodness, Chauke, Mkhacani, Chauke, Pinkie, Chelin, Nevil, Chen, Xiaohui, Chetty, Venmalla, Chetty, Kerisse, Cheu, Christinah, Chibabhai, Vindana, Chirima, Takudzwa, ChisaleMabotja, Mantwa, Chivenge, Charity, Choene, Ngoasheng, Choko, Mbali Nosisa, Choshi, Martin, Chowdhury, Sabbir, Christoforou, Anastacia, Chuene, S L S, Chueu, T S, Cilliers, Dale, Cilliers, Vanessa, Claassen, Marcel, Cloete, Jeané, Coelho, Chantelle, Coetzee, Carol, Coetzee, Hans Jurgens, Coetzee, Christine, Coetzee, Marelize, Coetzer, Dane, Coka, Sizwe, Colane, M, Combrink, Herkulaas, Conjwa, Songezo, Contrad, Colleen, Cornelissen, Faith, Cronje, Leezelle, Crouse, Christine, Dabi, Tshidi, Dandala, Ziyanda, Dangor, Ziyaad, Daniel, Gildenhuys, Daniel, Ngwana, Daumas, Alfred, Dauth, Madelein, David, Mongalo, Davids, Wayne, Daweti, Nozuko, Dawood, Halima, Dayile, Wandisa, De Bruin, B, De Klerk, Karin, De la Rosa, Tanya, de Nysschen, Marice, De vos, Marie, De Wet, Darien, Debising, Mohith, Deenadayalu, Darshan, Dekeda, Babalwa, Desiree, Mofokeng, Deysel, Annelise, Dhlamini, Abram, Diala, Makgethwa Dhlala, Diale, Mathapelo, Diketane, Bella, Dingani, Nosisa, Diniso, Siyabonga, Diphatse, Lesego, Diya, Anele, Dladla, Zihloniphile, Dladla, Nompumelelo, Dladla, Mlungisi, Dladla, Patience, Dlamini, Baphilie, Dlamini, Nonhlanhla, Dlamini, Linda, Dlamini, Nonzwakazi, Dlamini, Wendy, Dlamini, Ncomeka, Dlamini, Siyabonga, Dlamini, Nicodemus, Dlamini, Lebohang, Dlamini, Motshedise, Dlava, Babalwa Christine, Dlova, Phikiwe, Dlozi, Lindiwe, Doreen, Maenetja, Doyi, Vumile, Doyi, Athini, Du Plessis, Belinda, du Plessis, Johanna Aletta, du Plessis, Eddie, du Plessis, Nicolette, du Plessis, Karin, du Toit, Briette, du Toit, Narissa, Dube, Jabulile, Dubula, Athayanda, Duduzile, Msomi, Duiker, Sechaba, Duma, Unati Bongile, Duma, Kholiwe, Dunne, Kella, Dyantyi, Kholeka, Dyantyi, Avile, Dyasi, Simphiwe, Dyondzo, Chauke, Dyubhele, Phelisa, Dywili, B J, Edwards, Letitia, Eksteen, Madie, Ellis, Tersia, Ellis, Tia, Emmerson, Glenda, Enslin, Theusia, Epule, Odimula, Erasmus, Lana, Erick, Mathonsi, Etsane, Lerato, Eunice, Shimange, Fani, Zanele, Ferreira, Mariette, Finger-Motsepe, K L, Floris, Fabion, Fobo, Tseko, Fokotsane, Keresemetse, Fokwana, Duduzile Emmelda, Fords, Genevieve Marion, Fortein, Juanita, Fouche, Christine, Fourie, Rulandi, Frean, Andrew, Fredericks, Ludwig, Funda, Wandile, funjwa, kabelo, Futhane, Martha, Futuse, Amanda, Gabaediwe, Dora, Gabuza, Nonhlanhla, Galant, Janycke, Gama, Zanele, Gano, Thobile, Gardiner, Emma Cora, Gastrow, Henri, Gate, Kelly, Gaunt, Ben, Gavaza, Rikhotso, Gayi, Thapelo, Gcakasi, Nkosinathi, Gcobo, Nomusa, Geffen, Leon, Geldenhuys, S, George, Jenny, Gerber, Martha, Getyengana, Zolisa, Gigi, Nkululo, Gihwala, Radha, Gilliland, Mitchell, Gloria, Zandile, Glover, Elitia, Gokailemang, Ellen, Goosen, Suseth, Gopane, Maria, Gosa-Lufuta, Thandazile, Gosnell, Bernadett, Gouws, Sharleen, Govender, Christina, Govender, Raksha, Govender, Pearl, Govender, Sally, Govender, Roxanne, Govender, K, Govender, Savie, Govinden, Rashika, Gqabuza, Luphumlo, Gqaji, Nomthandazo, Gqetywa, Maneo, Green, Caroline, Green, Nathan, Green, Neera, Grobler, Hendrik, Groenwald, Pamela, Grootboom, Daniel, Gumede, Beatrice, Gumede, Nomonde, Gumede, Simphiwe, Gumede, Slindile, Gumede, Ntombikayise, Gumede, Zenande, Gxotiwe, Thandiswa, H L, Makhubela, Hadebe, Nonhlanhla, Hadebe, Skhumbuzo, Halkas, Christos, Hamer, Ansie, Hamida, Ebrahim, Hammond, Juan, Haniff, Sumayia, Hare, Annelise, Hattingh, lorinda, Hendricks, Thenjiwe, Henecke, Philip-George, Henly-Smith, Brends, Herselman, Glynis, Heymans, Ansie, Heyns, Chantel, Hlabahlaba, Golekane, Hlabangwane, Lucky, Hlamarisa, Simango, Hlanzi, Ntokozo, Hlela, Hlengiwe, Hlokwe, Katlego, Hlongwa, Thembinkosi, Hlongwana, Anele, Hlubi, Themba, Hobo, Tozama, Hopane, Nare Nathaniel, House, Mariska, Hudson, Catharina, Huysamen, Marinda, Indheren, Jezreen, Ingle, Samantha, Isaacs, Gavin, Isaacs, T S Thekiso, Itumeleng, Maringa, J van Rensburg, Karien, Jackson, Saloshni, Jacob, Neziswa, Jacobs, Burton, Jacobs, Tshireletso, Jacobs, Gugulethu, Jaftha, Mesadi, Jaji, Zimkhitha, Jali, Sibusiso, James, Gcobisa, January, Gillian, Jeke, Andiswa, Jeremiah, Laurent, Jeremiah, L S, Jhetam, Mubeen, John, Maureen, John, Chuene, Jola, Thandiwe, Jonas, Yolande, Jonas, Anovick, Juggernath, Amilcar, Kaba, Eileen, Kabo, Venetia, Kadi, Disebo, Kaizer, Karabo, Kambule, Moshaya Peter, Kapp, Lorraine, Kau, Tshepo, Keneth, Nchabeleng, Kgabi, O, Kgafela, Tebogo Audrey, Kgakgadi, Vincent, Kgaswe, Isabella, Kgathlane, Tsholofelo, Kgetha, Vuyelwa Julia, Kgomojoo, Mmaselloane, Kgoro, B, Kgosiemang, Christinah, Kgosiencho, Gloria, Khambula, Stephen, Khan, Ariffa, Khanare, Refemetswe, Khanyase, Ncamsile, Khanyile, Nokwethemba, Kharatsi, Fillip, Khawula, Simangele, Khohlakala, Themba, Khomo, Letitia, Khoza, Isabel, Khoza, Sinethemba, Khukule, Nombulelo, Khumalo, Busisiwe, Khumalo, Tracy, khumalo, Zinhle, Khumalo, Vuyelwa, Khumalo, Delisile, Khumalo, Lebohang, Khumalo, Boitumelo, Khumalo, Thuli, Khumalo, Gugu, Khuzwayo, Bongiwe, Khuzwayo, Thembhelihle, Kidson, Hennie, Kistan, Jesne, Klaas, Gugu, Klassen, Marilyn, Koeberg, Josehine, Koen, Marizel, Koena, Simphiwe, Kok, Ina, Kola, Imraan, Kolokoto, Karabo, Konar, Ramachandra, Kotsedi, Dr, Kotze, Jaline, Koupis, Martins, Kritzinger, Helen, Kruger, Marlize, Kruger, Henk, Kubayi, Tlangelani, Kubeka, Thabisile, Kubheka, Nonjabulo, Kubheka, Melusi, Kubheka, Sibusiso Clifford, Kubheka, Erol, Kumalo, Monica, Kunene, Thulani, Kunene, Siphilile Candy, Kunneke, Yvette, Kupa, R P, Kutama, Rachel, Kwakwazi, Nompumelelo, Kweyama, Lwanele, Labuschagne, Maureen, Labuschagne, Marina, Lakshman, Prabha, Lamani, Lungelo, Lamani, Thembela, Langa, Naomi, Langeni, Khangelani, Langeni, Aphelele, Langeni, Nwabisa Hazel, Langeveldt, Gena, Laubscher, Anchen, Le Roux, Laetitia, Leah, Magagane, Lebea, Collen, Lebea, Sello, Lebenya, Viyella Phumla Cynthia, Lebogang, Lorraine, Leboho, P K, Lee, Chantel, Lefakane, Kelebogile Rejoice, Legoabe, Zandile, Lekala, Patrick, Lekhoaba, Motsitsi, Lekunutu, Tanki Shadrack, Lerefolo, Galaletsang, Letebele, N, Lethoba, Tsepo Patric, Letlalo, Emission, Letlhage, Ofentse, Letshufi, D S V, Letsoalo, Dineo Fiona, Letsoalo, Seleka Jones, Letsoalo, Pennelope, Letwaba, Getrude, Linda, Sobekwa, Lipholo, Katleho, Litabe, Sabata, Lochan, Harsha, Lomax, Linda, Lombaard, Francina, Loots, Elmarie, Lourens, Ariana, Louw, Celeste, Louw, Rianna, Lubambo, Zikhona, Lubambo, Msebenzi Moises, Ludada, Gregory, Lukas, Michael, Lungu, Thembela, Lupindo, Nomvume, Lusenga, Emmah, Luthuli, Happiness, Luvuno, Zoleka Sylvia, M H, Gwangwa, Maarman, Mustafa, Mabaso, Buyisiwe, Mabaso, Cynthia, Mabitle, Morena, Mabogoane, Grace, Mabone, Kgakgamatso, Mabuza, Rueben, Mabuza, Velaphi, Madiseng, Mogantla, Madlala, Thobile, Madolo, Mashooase, Madonsela, Thabiso, Madubanya, Lesetsa, Maepa, Amukelani, Mafumana, Namhla, Mafumo, Caroline, Magadla, Pumeza, Magale, Viscah, Magaqa, Nompumelelo, Magda, Oberholzer, Magdeline, Rakgoale, Maggie, Tswai, Maginxa, Bongeka, Magoba, Cathrine Maite, Magongwa, Caroline, Magubane, Agretia, Magubane, Agretia Ntombizodwa, Magwai, R, Mahabane, D I, Mahabeer, Padmini, Mahadulula, Elsie, Mahanjana, Lungiswa, Maharaj, Amy, Mahlambi, Qedusiza, Mahlangu, Yvonne, Mahlangu, Lerato, Mahlangu, Ntombifikile, Mahlangu, Makhosazana, Mahlangu, Mahlatsi, Mahlasela, Penelope, Mahlatse, Thosago, Mahlobo, Regina, Mahole, Dikhing, Mahomed, Adam, Mahubane, Mapeu Debora, Mahume, Peter, Maifo, Lehlogonolo, Maimane, Vincent, Maimele, Petunia, Maine, Phakoe, Mainongwane, Patricia Senyanyathi, Majamani, Nomalungisa, Majozini, Amahle, Makalima, Noluthando, Makam, Nomfundo, Makamba, Khanyisa, Makan, R, Makarapa, Mashiane, Makgahlela, Malesela, Makgisa, Mogoiwa David, Makgomo, Makgoba, Makgopa, M A, Makhalema, Mabone, Makhanya, Lindokuhle Lizo, Makhanya, Philile Valentia, Makharaedzha, Tolerance, Makhathini, Nathi, Makhesi, Elizabeth, Makhubela, Cinile, Makhunga, Nkululeko Freedom, Makhupula, Nomalinge, Makhura, R R, Makola, Rangwato, Makuba, Zingisa, Makubalo, Asanda, Makumsha, Lonwabo, Makuya, George, Malaka, Levy Mmachuene, Malangeni, Themba, Malatji, M L, Malebana-Metsing, Pelonomi, Malek, Malek, Malevu, Luthando, Malgas, Juanita, Malgas, Dimakatso, Malope, Paul Makgasane, Malose, Monyeki, Maluleke, Katekani, Mambane, Kato, Mamorobela, Nthabiseng, Manamela, Kukami, Manana, Tshepo, Maneto, Sathiel, Manganye, Aron Kabelo, Mangena, Pheto, Mangoale, Anna, Mangozho, Tinotenda Florence, Manickchund, Pariva, Mankayi, Zandisile, Manning, Arthur, Manyaapelo, Kelebogile Manyaapelo, Manyane, Tabea, Manzana, Zoliswa, Manzini, Milton, Mapasa-Dube, Busisiwe, Maphumulo, Siboniso, Maphumulo, Ntombifuthi, Maponya, Sindy, Maponya, Khomotso Mumsy, Maponya, Napjadi, Maqubela, Lami, Maqubela, Lizeka, Maqungo, Vuyo, Marais, Marisa, Marais, Chantal, Maramba, Nondumiso, Mare, Annelize, Maredi, Madumetsa, Martins, Afikile, Marule, Johanna, Marumo, Refilwe, Masakona, N N, Masehla, Kedibone Vincentia, Maseko, Eric, Maselesele, Tshilidzi, Maselo, Mojalefa, Maseloa, M, Masemola, M E, Masemola, Thembi, Mashaba, Bella, Mashangwane, James, Mashao, Mantebele, Mashego, Shalom, Mashele, Lerato, Mashiane, Ester, Mashibini, Joyce, Mashilo, J, Mashiloane, Tumi, Mashishi, Charity, Mashiyi, Ngazibini, Mashudu, Khomola, Masindi, Aluwani, Maslo, Caroline, Masondo, Nduduzo, Masuku, Dumisile, Matamela, Cry, Matandela, Mirriam, Mathabela, Nontokozo, Mathabi, T, Mathe, Keitumetse, Mathebula, Mathabo, Mathebula, Catherine, Mathebula, Mdungazi Andres, Mathenjwa, Nqobizwe, Mathibe, Jane, Mathibela, Lebohang, Mathilda, Makwela, Mathiva, Khakhu, Mathobela, Mokgadi Alinah, Mathonsi, Fikile Pearl, Mathonsi, K P, Mathosa, Katlego, Matiwane, Noluvo, Matjeke, Emma, Matjiane, Bella, Matjila, Thabang, Matlala, Chidi, Matome, Petlo, Matoti, Nolusindiso, Matseliso, C, Matsemela, Dineo, Matsha, Phumeza, Matshediso, Gaalebale Prudence, Matshediso, Motsumi, Matshela, Esther, Mavuma, Bongeka, Mavundla, Pearl, Mavuso, Nomthandazo, Mawasha, Lovender, Mawelela, Rebecca, Mazibuko, Nelisiwe, Mazibuko, Phumlani, Mazubane, 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Strydom, Riaan, Adelekan, Tsholofelo, Mdlovu, Bhekizizwe, Moodley, Nirvasha, Namavhandu, Eunice L, Venturas, Jacqueline, Magula, Nombulelo, and Blumberg, Lucille

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2021
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11. Difference in mortality among individuals admitted to hospital with COVID-19 during the first and second waves in South Africa: a cohort study

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Abdullah, Shaina, Abrahams, Fiona, Adams, Vincentius, ADNANE, FHIMA, Adoni, Sonia, Adoons, Dieketso Melitta, Africa, Veronique, Aguinaga, Dr, Akach, Susan, Alakram Khelawon, Prisha, Aldrich, George, Alesinloye, Olatunde, Aletta, Mathale Biniki, Alice, Mametja, Aphane, Tebogo, Archary, Moherndran, Arends, Felicity, Arends, Shireen, Aser, Munonde, Asmal, T, Asvat, Mohammed, Avenant, Theunis, Avhazwivhoni, Muvhali, Azuike, Magnolia, Baartman, Johanna, Babalwa, Dlava, Badenhorst, Johan, Badenhorst, Miranda Badenhorst, Badripersad (CEO), Bianca, Badul, Lalihla, Bagananeng, M, Bahle, Mncedisi, Balfour, Liezl, Baloyi, TC, Baloyi, S, Baloyi, Tinyiko, Baloyi, Tshepo Mpho, Banda, Thokozani, Barit, Shimon, Bartsch, Nicole, Bayat, Junaid, Bazana, Siyabulela, Beetge, Marlene, Bekapezulu, Nosindiso, Belebele, Rammala, Bella, Phala, Belot, Zanenkululeko, Bembe, Lindi Gladys, Bensch, Sonja, Beukes, Gishma, Bezuidenhout, Karla, Bhembe, Themba, BIKISHA, N.A, Bilenge, Ben, Bishop, Leesa, Biyela, Baphamandla, Blaauw, Cyntheola, Blaylock, Mark, Bodley, Nicola, Bogale, Power, Bokolo, Sibongile, Bolon, Stefan, Booysen, Mary, Booysen, Eldereze, Boretti, Lia, Borges, Paula, Boshoga, Millicent, Bosman, Natasha, Bosvark, Lucinda, Botes, Nicky, Botha, Adele, BOTHA, CHANTALL, Botha, Jana, BOTHA, MANDLAKAYISE IRVIN, Botha, Alet, Bradbury, Janet, Breakfast, Zandisile, Breed, Maria, Brenda, Molele, Brice, Moshito, Britz, Jolene, brown, Amanda, Buchanan, Ms T, Bucwa, Thozama, Burger, Crystelle, Busakwe, Ziyanda, Bushula, Nosiviwe, Buthelezi, Zinhle, Buthelezi, Dumsile, Buthelezi, Thubelihle, Buthelezi, Mpumelelo Basil, Buthelezi, Fundiswa Lidwina, Bux, Nadia, Buys, Christoff, Buys, Anneline, Caka, Ernestina, Canal, Armando Sanchez, Caroline, Sithole, Casper, Monrick, Cawood, Shannon, Cebisa, Oratile, Cele, Nothando, Cele, Sboniso, Cele, Sthembile Goodness, Chauke, Mkhacani, Chauke, Pinkie, Chelin, Nevil, Chen, Xiaohui, Chetty, Venmalla, Chetty, Kerisse, Cheu, Christinah, Chibabhai, Vindana, Chirima, Takudzwa, ChisaleMabotja, Mantwa, CHIVENGE, CHARITY, Choene, Ngoasheng, Choko, Mbali Nosisa, Choshi, Martin, Chowdhury, Sabbir, Christoforou, Anastacia, Chuene, S.L.S, Chueu, T.S, Cilliers, Dale, Cilliers, Vanessa, Claassen, Marcel, Cloete, Jeané, Coelho, Chantelle, Coetzee, Carol, Coetzee, Hans Jurgens, Coetzee, Christine, Coetzee, Marelize, Coetzer, Dane, Coka, Sizwe, Colane, Mr M, Combrink, Herkulaas, Conjwa, Songezo, Contrad, Colleen, Cornelissen, Faith, Cronje, Leezelle, Crouse, Christine, D.A, Moshai, D.I, Ms Mahabane, Dabi, Tshidi, Dandala, Ziyanda, Dangor, Ziyaad, Daniel, Gildenhuys, Daniel, Ngwana, Daumas, Alfred, Dauth, Madelein, David, Mongalo, Davids, Wayne, Daweti, Nozuko, Dawood, Halima, Dayile, Wandisa, DE BRUIN, B, De Klerk, Karin, De la Rosa, Tanya, de Nysschen, Marice, De vos, Marie, De Wet, Darien, Debising, Mohith, Deenadayalu, Darshan, Dekeda, Babalwa, Desiree, Mofokeng, Deysel, Annelise, Dhlamini, Abram, Diala, Makgethwa Dhlala, Diale, Mathapelo, Diketane, Bella, Dingani, Nosisa, Diniso, Siyabonga, Diphatse, Lesego, Diya, Anele, Dladla, Zihloniphile, Dladla, Nompumelelo, Dladla, Mlungisi, Dladla, Patience, Dlamini, Baphilie, DLAMINI, NONHLANHLA, Dlamini, Linda, Dlamini, Nonzwakazi, Dlamini, Wendy, Dlamini, Ncomeka, Dlamini, Siyabonga, Dlamini, Nicodemus, Dlamini, Lebohang, Dlamini, Motshedise, Dlava, Babalwa Christine, Dlova, Phikiwe, Dlozi, Lindiwe, Doreen, Maenetja, Doyi, Vumile, Doyi, Athini, Du Plessis, Belinda, du Plessis, Johanna Aletta, du Plessis, Mr. Eddie, du Plessis, Nicolette, du Plessis, Karin, du Toit, Briette, du Toit, Narissa, Dube, Jabulile, Dubula, Athayanda, Duduzile, Msomi, Duiker, Sechaba, Duma, Unati Bongile, Duma, Kholiwe, Dunne, Kella, Dyantyi, Kholeka, Dyantyi, Avile, Dyasi, Simphiwe, DYONDZO, CHAUKE, Dyubhele, Phelisa, Dywili, B.J, Edwards, Letitia Edwards, Eksteen, Madie, Ellis, Tersia, Ellis, Tia, Emmerson, Glenda, Enslin, Theusia, EPULE, ODIMULA, Erasmus, Lana, Erick, Mathonsi, Etsane, Lerato, Eunice, Shimange, Fani, Zanele, Ferreira, Mariette, Finger-Motsepe, K.L, Floris, Fabion, Fobo, Tseko, Fokotsane, Keresemetse, Fokwana, Duduzile Emmelda, Fords, Genevieve Marion, Fortein, Juanita, Fouche, Christine, Fourie, Rulandi, Frean, Andrew, Fredericks, Ludwig, Funda, Wandile, Funjwa, Kabelo, Futhane, Martha, Futuse, Amanda, Gabaediwe, Dora, Gabuza, Nonhlanhla, Galant, Janycke, Gama, Zanele, Gano, Thobile, Gardiner, Emma Cora, Gastrow, Henri, Gate, Kelly, Gaunt, Ben, Gavaza, Rikhotso, Gayi, Thapelo, Gcakasi, Nkosinathi, Gcobo, Nomusa, Geffen, Leon, Geldenhuys, S, George, Jenny, Gerber, Martha, Getyengana, Zolisa, Gigi, Nkululo, Gihwala, Radha, Gilliland, Mitchell, Gloria, Zandile, Glover, Elitia, Gokailemang, Ellen, Goosen, Suseth, Gopane, Maria, Gosa - Lufuta, Thandazile, Gosnell, Bernadett, Gouws, Sharleen, Govender, Christina, Govender, Raksha, Govender, Pearl, Govender, Sally, Govender, Roxanne, Govender, K, Govender, Mrs Savie, Govinden, Rashika, Gqabuza, Luphumlo, Gqaji, Nomthandazo, Gqetywa, Maneo, Green, Caroline, Green, Nathan, Green, Neera, Grobler, Hendrik, Groenwald, Pamela, Grootboom, Daniel, Gumede, Beatrice, Gumede, Nomonde, Gumede, Simphiwe, Gumede, Slindile, Gumede, Ntombikayise, Gumede, Zenande, Gxotiwe, Thandiswa, H.L, Makhubela, Hadebe, Nonhlanhla, Hadebe, Skhumbuzo, Halkas, Christos, Hamer, Ansie, Hamida, Ebrahim, Hammond, Juan, Haniff, Sumayia, Hare, Annelise, Hattingh, lorinda, Hendricks, Thenjiwe, Henecke, Philip-George, Henly-Smith, Brends, Herselman, Glynis, Heymans, Ansie, Heyns, Chantel, Hlabahlaba, Golekane, Hlabangwane, Lucky, Hlamarisa, Simango, Hlanzi, Ntokozo, Hlela, Hlengiwe, Hlokwe, Katlego, hlongwa, Thembinkosi, Hlongwana, Anele, Hlubi, Themba, Hobo, Tozama, Hopane, Nare Nathaniel, House, Mariska, Hudson, Catharina, Huysamen, Marinda, Indheren, Jezreen, Ingle, Samantha, Isaacs, Gavin, Isaacs, TS Thekiso, Itumeleng, Maringa, J van Rensburg, Karien, Jackson, Saloshni, Jacob, Neziswa, Jacobs, Burton, Jacobs, Tshireletso, Jacobs, Gugulethu, Jaftha, Mesadi, Jaji, Zimkhitha, Jali, Sibusiso, James, Gcobisa, January, Gillian, Jeke, Andiswa, Jeremiah, Laurent, Jeremiah, LS, Jhetam, Mubeen, John, Maureen, John, Chuene, Jola, Thandiwe, Jonas, Yolande, Jonas, Anovick, Juggernath, Amilcar, kaba, eileen, Kabo, Venetia, Kadi, Disebo, Kaizer, Karabo, Kambule, Moshaya Peter, Kapp, Lorraine, Kau, Tshepo, Keneth, Nchabeleng, Kgabi, O, Kgafela, Tebogo Audrey, Kgakgadi, Vincent, Kgaswe, Isabella, Kgathlane, Tsholofelo, Kgetha, Vuyelwa Julia, Kgomojoo, Mmaselloane, Kgoro, MR B, Kgosiemang, Christinah, Kgosiencho, Gloria, Khambula, Stephen, Khan, Ariffa, Khanare, Refemetswe, Khanyase, Ncamsile, Khanyile(Data Capturer), Nokwethemba, Kharatsi, Fillip, Khawula, Simangele, Khohlakala, Themba, Khomo, Letitia, khoza, Isabel, Khoza, Sinethemba, Khukule, Nombulelo, Khumalo, Busisiwe, Khumalo, Tracy, khumalo, Zinhle, Khumalo, Vuyelwa, Khumalo, Delisile, Khumalo, Lebohang, Khumalo, Boitumelo, Khumalo, Thuli, Khumalo, Gugu, Khuzwayo, Bongiwe, Khuzwayo, Thembhelihle, Kidson, Hennie, Kistan, Jesne, Klaas, Gugu, Klassen, Marilyn, Koeberg, Josehine, Koen, Marizel, Koena, Simphiwe, Kok, Ina, Kola, Imraan, Kolokoto, Karabo, Konar, Ramachandra, Kotsedi, Dr, Kotze, Jaline, KOUPIS CDS, MARTINS, Kritzinger, Sr Helen, Kruger, Marlize, Kruger, Henk, Kubayi, Tlangelani, Kubeka, Thabisile, Kubheka, Nonjabulo, Kubheka, Melusi, Kubheka, Sibusiso Clifford, Kubheka, Erol, Kumalo, Monica, Kunene, Thulani, Kunene, Siphilile Candy, Kunneke, Yvette, KUPA, R.P, Kutama, Rachel, Kwakwazi, Nompumelelo, Kweyama, Lwanele, Labuschagne, Maureen, Labuschagne, Marina, Lakshman, Prabha, Lamani, Lungelo, Lamani, Thembela, Langa, Naomi, Langeni, Khangelani, Langeni, Aphelele, Langeni, Nwabisa Hazel, Langeveldt, Gena, Laubscher, Anchen, Le Roux, Laetitia, Leah, Magagane, Lebea, Collen, Lebea, Sello, Lebenya, Viyella Phumla Cynthia, lebogang, Lorraine, LEBOHO, PK, Lee, Chantel, Lefakane, Kelebogile Rejoice, Legoabe, Zandile, Lekala, Patrick, Lekhoaba, Motsitsi, Lekunutu, Tanki Shadrack, Lerefolo, Galaletsang, Letebele, Mrs N, Lethoba, Tsepo Patric, Letlalo, Emission, Letlhage, Ofentse, Letshufi, D.S.V, Letsoalo, Dineo Fiona, Letsoalo, Seleka Jones, Letsoalo, Pennelope, Letwaba, Getrude, Linda, Sobekwa, Lipholo, Katleho, Litabe, Sabata, Lochan, Harsha, Lomax, Linda, Lombaard, Francina, Loots, Elmarie, Lourens, Ariana, Louw, Celeste, Louw, Rianna, Lubambo, Zikhona, Lubambo, Msebenzi Moises, Ludada, Gregory, Lukas, Michael, Lungu, Thembela, Lupindo, Nomvume, Lusenga, Emmah, Luthuli, Happiness, Luvuno, Zoleka Sylvia, M.H, Sr Gwangwa, Maarman, Mustafa, Mabaso, Buyisiwe, Mabaso, Cynthia, Mabitle, Morena, Mabogoane, Grace, Mabone, Kgakgamatso, Mabuza, Rueben, Mabuza, Velaphi, Madiseng, Mogantla, Madlala, Thobile, Madolo, Mashooase, Madonsela, Thabiso, Madubanya, Lesetsa, Maepa, Amukelani, Mafumana, Namhla, Mafumo, Caroline, Magadla, Pumeza, Magale, Viscah, Magaqa, Nompumelelo, Magda, Oberholzer, Magdeline, Rakgoale, Maggie, Tswai, Maginxa, Bongeka, Magoba, Cathrine Maite, Magongwa, Caroline, MAGUBANE, AGRETIA, Magubane, Agretia Ntombizodwa, Magwai, R, Mahabeer, Padmini, Mahadulula, Elsie, Mahanjana, Lungiswa, Maharaj, Amy, Mahlambi, Qedusiza, Mahlangu, Yvonne, Mahlangu, Lerato, Mahlangu, Ntombifikile, Mahlangu, Makhosazana, Mahlangu, Mahlatsi, Mahlasela, Penelope, Mahlatse, Thosago, Mahlobo, Regina, Mahole, Dikhing, Mahomed, Adam, Mahubane, Mapeu Debora, Mahume, Peter, Maifo, Lehlogonolo, Maimane, Vincent, Maimele, Petunia, Maine, Phakoe, Mainongwane, Patricia Senyanyathi, Majamani, Nomalungisa, Majozini, Amahle, Makalima, Noluthando, Makam, Nomfundo, Makamba, Khanyisa, Makan, R, Makarapa, Mashiane, Makgahlela, Malesela, Makgisa, Mogoiwa David, Makgomo, Makgoba, Makgopa, MA, Makhalema, Mabone, Makhanya, Lindokuhle Lizo, Makhanya, Philile Valentia, Makharaedzha, Tolerance, Makhathini, Nathi, Makhesi, Elizabeth, Makhubela, Cinile, Makhunga, Nkululeko Freedom, Makhupula, Nomalinge, Makhura, RR, Makola, Rangwato, Makuba, Zingisa, Makubalo, Asanda, Makumsha, Lonwabo, Makuya, George, Malaka, Levy Mmachuene, Malangeni, Themba, MALATJI, ML, Malebana-Metsing, Pelonomi, Malek, Malek, Malevu, Luthando, Malgas, Juanita, Malgas, Dimakatso, Malope, Paul Makgasane, Malose, Monyeki, Maluleke, Katekani, Mambane, Kato, Mamorobela, Nthabiseng, Manamela, Kukami, Manana, Tshepo, Maneto, Sathiel, Manganye, Aron Kabelo, Mangena, Pheto, Mangoale, Anna, MANGOZHO, TINOTENDA FLORENCE, Manickchund, Pariva, Mankayi, Zandisile, Manning, Arthur, Manyaapelo, Kelebogile Manyaapelo, Manyane, Tabea, Manzana, Zoliswa, Manzini, Milton, Mapasa-Dube, Busisiwe, Maphumulo, Siboniso, Maphumulo, Ntombifuthi, Maponya, Sindy, Maponya, Khomotso Mumsy, Maponya, Napjadi, Maqubela, Lami, Maqubela, Lizeka, Maqungo, Vuyo, Marais, Marisa, Marais, Chantal, Maramba, Nondumiso, Mare, Annelize, Maredi, Madumetsa, Martins, Afikile, Marule, Johanna, Marumo, Refilwe, Masakona, NN, MASEHLA, KEDIBONE VINCENTIA, Maseko, Eric, Maselesele, Tshilidzi, Maselo, Mojalefa, Maseloa, M, Masemola, M.E, Masemola, Thembi, Mashaba, Bella, Mashangwane, James, Mashao, Mantebele, Mashego, Shalom, Mashele, Lerato, Mashiane, Ester, Mashibini, Joyce, Mashilo, J, Mashiloane, Tumi, Mashishi, Charity, Mashiyi, Ngazibini, Mashudu, Khomola, masindi, aluwani, Maslo, Caroline, Masondo, Nduduzo, Masuku, Dumisile, Matamela, Cry, Matandela, Mirriam, Mathabela, Nontokozo, Mathabi, T, Mathe, Keitumetse, Mathebula, Mathabo, Mathebula, Catherine, Mathebula, Mdungazi Andres, Mathenjwa, Nqobizwe, Mathibe, Jane, Mathibela, Lebohang, MATHILDA, MAKWELA, Mathiva, Khakhu, Mathobela, Mokgadi Alinah, Mathonsi, Fikile Pearl, Mathonsi, KP, Mathosa, Katlego, Matiwane, Noluvo, Matjeke, Emma, Matjiane, Bella, Matjila, Thabang, Matlala, Sr Chidi, Matome, Petlo, Matoti, Nolusindiso, Matseliso, C., Matsemela, Dineo, Matsha, Phumeza, Matshediso, Gaalebale Prudence, Matshediso, Motsumi, Matshela, Esther, Mavuma, Bongeka, Mavundla, Pearl, Mavuso, Nomthandazo, Mawasha, Lovender, Mawelela, Rebecca, Mazibuko, Nelisiwe, Mazibuko, Phumlani, Mazubane, Lindiwe, Mbanjwa, Bavumile, Mbasa, Ayanda, Mbatha, Nosimilo, MBATHA, ZANELE, Mbatha, Rudolph Zenzele, Mbedzi, Gift, Mbizi, Tatenda Trevor, Mbonambi, Khumbulani, Mboniswa, Nondumiso, Mbonisweni, Nomfanelo, Mbuilu, Jody, Mbulawa, Siyabonga, Mbutho, Zama, Mbuzi, Natasha, Mchunu, Nonkululeko, Mchunu, Cyprian, Mchunu, Nokuzola, Mchunu, Masesi Thandeka, Mciteka, Vuyokazi, Mdaka, Solly, Mdakane, Neho, Mdediswa, Siyabonga, Mdima, Melusi, Mdima Masondo, Nozipho, Mdindana, Siviwe, Mdleleni, Ntombizikhona, Mdletshe, Sibusiso, Mdoda, Gcobisa Precious, Mdolo, Ntombi, Mdontsane, Anele, Mehta, Ruchikas, Memela, Philile Rittah, Methuse, Masande, Metshile, Keatlaretse, Metuse, Pheliswa, Meyer, Anton, Meyer, Gavin, Meyer, Cameron, Mfazwe, Sisonke, Mfecane, Andiswa, Mfecane, Bongeka, Mfeka, Nelisiwe, Mgaga, Busisiwe, Mgauli, Thandiwe Portia, Mgedezi, Thembekile, Mgedezi, Vuyokazi, Mgevane, Kalipile, Mgiba, Bongni, Mgoduka, 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Kgantshi Sam, Mokwene, Lebogang, Molate, Thato Elliott, Molebalwa, Ditoche, Molefe, Boingotlo, MOLEHE, KGOPA STANLEY, Moleme, Kgomotso, Moliane, Sarah, MOLOI, FANYANA, Molorane, Retshepile Joseph, Molotsi, Glenda Tsholanang, Molukanele, Lerato, Monareng, Joy, Moncho, Thapelo, Monica, Modiadie, Monnane, Refilwe, Monqo, Andile, Montewa, Neo, Montsioa, Kgalalelo, monyaki, Reitumetse, Monyane, Masekhobe Jeanett, Monyela, Lipson, Moodley, Yudeshan, Moodley, Kriesen, Moodley, Kaira, Mooka, Boitumelo Donald, Moonsamy, Prea, Moopanar, Simmi, Moore, David, Mophethe, Lineo, Moremedi, Tshegohatso, Moremong, Kealeboga, morgan, nthangeni, Moripa, Egma, Morris, Lulamile, Mosala, Me. A.M., Mosana, Thabo, Mosase, Alice, Mose, Yolanda, Mosehlo, Maponya, Moseki, Mothusi, Moshabe, Mojalefa David, Moshani, Mbulelo, Moshani, Pelisa, Mosima, Ledwaba, Mosima, Ezrom, Mosoma, M.P, Motaung, Lebohang, Motaung, Mokete, Motaung Xhama, Thozama Charmain, Motha, Purine Khethiwe, Motimele, Lerato, Motimeng, Boitumelo, Motladiile, Shirley, Motlhabane, otsile, Motlhamme, Joshua, Motloba, Mandla, Motse, Kagiso, Motshegoa, Sophia, Moutlana, Edward, Mouton, Irma, Moya, Zanele, Moyake, Nomonde, MP, Maja, Mpete, Jenny, Mpfuni, Luamba Meltha, Mphahlele, Seputule Mphahlele, Mphake, Mashadi, Mphanya, Ephraim Letlhogonolo, Mphaphuli, Mashudu, Mphela, Tebogo Chwene, Mpontshane, MS, Mqotyana, Thabile, Mqungquthu, Babalwa, Msane, Noluthando Busane, Mseleku, Malusi, Msibi, Sibusiso, Msibi, Mancele, Msibi, Thulisile, Msibi, Siyabonga Linda, Msiza, Clement Nhlanhla, Msomi, Lungelo, Mtatambi, Mandlenkosi, Mthathambi, Thembisa, Mthembu, December, Mthembu, Nhlahla, Mthembu, Fezile Mbali, Mthembu, Lungiswa, Mthethwa, Nompumelelo Petunia, Mthimkhulu, Khulekani, Mthuli, Lungani Percival, Mthunzi, Ashley, Mtolo, Xolani Sydney, Mtolo, Nomonde Precious, Mtshali, Linda, Mtwa, Neliswa, Mtyobile, Fezeka, Mtyobile, Kanyisa, Mudau, Mpfariseni, Muemeleli, Magwabeni, Mulaudzi, Isaac, Mulaudzi, Rebecca, Mulaudzi, Mhlelekedzeni, Muligwe, Dakalo Rejoyce, Muponda, Blessing, Mushadi, Mmbangiseni Stella, Mushid, M, Muthaphuli, Konanani, Muthavhine, J, Muthika, Mpho, Mvelase, Samkelisiwe, Mvelase, Vusi, MWEHU, LAURENT KAYUMBA, Myaka, Thabile, myburgh, Magriet, Mzamo, Zimkhitha, Mzawuziwa, Fezeka, Mzini, Mfundo Lunga, Mzizana, Oscar, Mzobe, Ntokozo, Mzobe, Thokozile, Mzobe, Zamaswazi, Mzwandile, Mtimkulu, Naby, Fathima, NAICKER, KESHNEE, Naicker, Pregashnie, Naicker, Saroja, Naicker, Pershen, Naicker, Saiyen Virgil, NAIDOO, RIA, Naidoo, Sam, Naidoo, Mergan, NAIDOO, KAMALAMBAL, Naidoo, Aroomugam, Naku, Sivuyile, Nakwa, Firdose, Nancy, Masoga, Nathan, Rita, Naude, Maritsa, Ncaza, Gcobisa, Ncaza, Aviwe, Ncha, Relebohile, Ncoyini, Yanelisa, Ncube, Snothile, Ndaba, Mrs, NDABA, VUSUMUZI, Ndaba, Mmapula, Ndawonde, Siziwe, Ndevu, Ziphozihle, NDHLOVU, NONHLANHLA FAITH, Ndima, Simphiwe, Ndlela, Sindisiwe, Ndlela, Thobsile P, Ndlovu, Nobuhle, Ndlovu, Nwabisa, Ndlovu, Virginia Dipuo, Ndlumbini, Sombekhaya, Nduli, Khululiwe, Nduli, Priscilla Nontokozo, Ndwambi, Michael, Nel, Jeremy, Nel, Rina, Nel, Lizelle, Nemanashi, Ntsundeni florah, Nemudivhiso, Usinkhangwe Nyaphophi, Nemutavhanani, Joyce Nemutavhanani, Nene, Jabu, Nene, Xolani, Netshilonga, David, Netsianda, Rendani, Newton, Charmaine, Ngalo, Vuyo Leroy, Ngani, Ncumisa, Ngcakaza, Thabisa Monica, Ngcobo, Thamela, Ngcobo, Trulove Nonhlanhla, Ngcobo, Richards, Ngcobo, Gcinile, Ngcobo, Guguletu, Ngetu, Thozama, Ngewu, Pinkie, Ngobeni, Tshepo, Ngobeni, Providence, Ngobeni, Khanyisile, Ngobeni, Prudence, Ngobese, Thembisile, Ngomane, Tracy, Ngondo, Nolusindiso, Ngubane, Nokukhanya, Ngubane, Sithembiso, Nguse, Ntombizodwa Praxedise, Ngwane, Tholakele, Ngwasheng, Elizabeth, Ngwenya, Siphamandla, Ngwenya, Gugu, Ngwenya, Nomthandazo, Ngwenya, Themba, Ngwenya, Eva, Ngxola, Zintlanu, Nhabe, Tshegofatso, Nhlabathi, Jabulile, Nhlangwana, Ishmael, Nhlapo, Sithembile, nick, Matlala, Niemand, Vicky, Nienaber, Carina, Nix, Louise, Njikelana, Chumisa, Njomi, Masiza, Nkabinde, Lucia, NKABINDE, M, Nkabiti, Boitumelo, Nkabule, Gugu, Nkadimeng, Mankopodi, Nkanjeni, Nonkanyiso, Nkatlo, Palesa Portia, Nkewana, Bongani, Nkhwashu, Audrey, Nkoana, Ngokoana, Nkoane, Mmathapelo, Nkogatse, M, Nkomo, Fezile, Nkomo, Ntando, Nkonyane, Nontobeko, Nkosi, Sydney, Nkosi, Ntombikayise, Nkosi, Phumzile, Nkosi, Ntombifuthi, NKOSI, TINTSWALO, Nkosi, ML, Nkosi, Godfrey, Nkosi, Amukelani, Nkosi, Fikile Vinoliah, Nkosi, Mbali, Nkosi, Nomcebo Lucia, Nkosi, Siphokazi, Nkuhlu, Amanda, Nkumane, Phumzile, Nkuna, Malebo, Nkwakwha, Wendy, Noge, Sesi, Nolte, Elizabeth, Nomawabo, Peko, Nombita, Malibongwe, Nophale, Nandipha, Nothnagel, Jeanetta, Novokoza, Bongiwe, Nqaphi, Zanele, Nqondo, Thobekile, Nqwelo, Siphokazi, NS, Nkoana, Ntabeni, Sindiswa, Ntabeni, Mr, Ntampula, mawethu, Ntebe, Mthutuzeli, NTELA, MOKWABO, Ntimbane, Hezekiah, Ntintsilana, Xolisa, Ntleki, Patrick, Ntobela, Zanele, Ntombela, Bandile, Ntombela, Zamaswazi, Ntombela, Khonelihle Zandile, Ntombela, Praisegod Samkelo Thobani, Ntonintshi, Lindiwe, Ntseane, Dipuo, Ntseane, Thobeka, Ntsham, Xolelwa, Ntshele, Mbalenhle, Ntshewula, Amanda, Ntsoko, Zinzi, Ntsoto, Athini, Ntuli, Nomsa, Ntuli, Nokwazi, Ntuli, Nomvula, Ntuli, Andrew Diffar, Ntuli, Faith, Nurnberger, Margrit, Nxala, Ntsikelelo, Nxasane, Sithandiwe, Nxumalo, Mr Thanda, Nyathi, Xolani, Nyawula, Nontobeko, Nzama, Nhlakanipho, Obed, Maila Nkuneng, Ogwal, Florence, Olifant, Maureen, Oliphant, Mr B, Olive, Monota, Olyn, Kagisho, Omoighe, Raymond, One, Phumeza, Oscar, Ratombo, Owen, Nkuna, P, Mailula, Padayachee, Nalini, Padayachy, Vasaily, Pakade, Ntombizakhe, Palime, Mosiuoa, Palisa, Jane, Parker, Arifa, Parkies, Lesenyeho, Parrish, Andy, Patel, Nilesh, Pather, Anastasia, Patience, Mkhombo Tsakani, Patzke, Marisa, Pawuli, Akhumzi, Pelako, Ntandokazi, Penrose, Phaswana Sibasa, Peppeta, Litha, Pershad, Santosh, Pertunia, Makheda, Pertunia, Nkuna, Perumal, Dane, Peter, Mongameli, Peters, Justin, Petlane, Vatiswa, Petrus, Harideen, Phahladira, Kgomotso, Phakisa, Matebesi John, Phale, R, Phathela, Livhuwani, Phillip, Sekate Daniel, Phiri, Beverly, Phiri, Mapule Precious, Phokane, Thapelo, Phokoane, Frank, Pholosho, Moele, Phooko, Sekoro, Phooko, Sekodi Geoffrey, Phutiane, Maponya, Pillay, Faiza, Pillay, Melanie, Pillay, Sayuri, Pillay, CR, Plaatjie, Zikhona, Pootona, James, Potgieter, Samantha, Potgieter, Marius, Precious, Mulaudzi Mulatedzi, Pretorius, Paul Janus, Prozesky, Hans, Pule, Mokhethi, Punwasi, Jayshina, Putzier, Dot, Qankqiso, Lutho, Qebedu, Siphokazi, Qhola, Phozisa, Qotoyi, Ntombesithathu, Qotso, Sipho Victor, Qwabe, Zanele, Rabie, Helena, Rabothata, Phoebe, Rachoene, Christina, Radana, Mteteleli, Radebe, Maria, Radebe, Dr. Valentino, Radebe, Nonkululeko, Radinne, Ella, Raduvha, Sherly, Raghunath, Shamintha, Rajagopaul, Claudine, Rakgwale, Mary, Ralethe, Malumbete Michael, ralimo, Kenneth, Ramafoko, Motlalepule, Ramagoma, Maduvhahafani, Raman, Charlotte, Ramavhuya, Dr, Rambally, Molly, Ramdeen, Nivasha, Ramdin, Tanusha, Rameshwarnath, Sharita, Ramkillawan, Yeishna, Ramotlou, Rampedi, Faith, Rampersad, Vijayluxmi, Ramuima, Avhashoni, Ranone, Noluthando, Rapasa, Mabohlale Portia, rapelang, Mpharoane, Raphaely, Nika, Rashokeng, Lesiba, Rashopola, Caroline, Ratau, Tebogo, RATAU, M, Ratshili, Mpfariseni David, Rautenbach, Elmari, Ravele, Rofhiwa, Reachable, Johannes, Rebecca, Peta Mmalahla, Reddy, Kessendri, Redfern, Andrew, Reed, Robertha, Rees, Mumsy, Reji, Dr, Reubenson, Gary, Rewthinarain, Veena, Rheeder, Paul, Rhulani, Nkonayani, Richard, Mufamadi, Rikhotso, J.S, Rikhotso, Shatimone Beverley, Robert, Lavhelani Ndivhaleni, Roto, Noncedo, Ruder, Gideon, Rugnath, Kapil, Ruiters, Lizette, Ruiters, Mina, Russell, Sue, Ruwiza, Lynn, RY, Molokoane, Saaiman, Mandy, Sabela, Emmanuel, Sadiq, Lerato, Saki, Litha, SALAMBWA, HYPPOLITE, Samjowan, Menitha, Samodien, Nazlee, Samuel, Rakgolele, Sandile, Fakudze, Sanelisiwe, Cekuse, Sani, Mandlankosi, Sawuka, Simangele, Schoeman, Lelani, Scholts, Magriet, Schroder, Ronel, Sebalabala, Mamotetekoane, Sebati, Selwalenkwe Collet, Seboko, Jacoline, Sebuthoma, Wilheminah, Segami, Annah, Segokotlo, Ruth, Sehloho, MR, Seisa, Khutjo, Sekgobela, Antony, Sekhosana, Monica, Sekonyela, John, Sekoto, Mpho, Sekulisa, Naledi, Sekwadi, Mokgadi Vanessa, Selaelo, Lebogo, Selatlha, Johannes, Selekolo, Kgomotso, Selfridge, William, Semenya, Lucy, Sengakane, Ivy, Sengata, Masabata, Sentle, Petronella, Seoketsa, Malebo, Seonandan, Pratheesha, Serumula, Thomas Mambushi, Setheni, Nkululeko, Setlale, Refiloe, Setlhodi, Tumediso, Setlhodi, Barbara, Setloghele, Robert, Sewpersad, Aarthi, Sewpersadh, Ryan, Shabalala, Phumlile, Shabangu, Owen, Shabangu, Kungesihe, Shabangu, Harriet Sbonangaye, Shabangu, Doctor Thokozani, Shadi, Clifford, Shaik, Hasifa, Shale, Tseliso, Shandu, Qedani, Shandu, Nomvelo, Shange, Ntswaki Marcia, Shenxane, Abongile, Sherriff, A, Shezi, Sebenzile, Shezi, Thenjiwe, Shihangule, Scally, Shikwambana, Cheyeza, Shoba, Lungisani, shokane, Kamogelo, Sibande, Nora, Sibeko, Lydia, Sibeko, Xolani, Sibiya, Zanele, Sibiya, Mncedisi, Sibuta, Sphamandla, Sifumba, Thembakazi, Sigcau, Sipho, Sigila, Lutho, Sihentshe, Kayakazi, Sihlangu, Bongani, Sikhakhane, Daisy, Sikhakhane, Shaun Nhlanhla, Siko, Mbali, Sikonje, Sipho, Simanga, Khumbulekile, Simango, Nomsa, Simela, Thulisile, Simelane, Ntombikayise, Singh, Sashah, Singh, Marjorie, Singh, Mrs Ragani, Singh, Shash, Singh, Anita, Sithole, Hitekani, Sithole, Senzekile, Sithole, Ntokozo Danielle, Sithole, Koketso Maxwell, Situma, Jonnie, Sivraman, Annie, Siwela, Katekani, Siyewuyewu, Nonqubela, Sizeka, Maweya, Siziba, Nonceba, Skhosana, Andrew, Skhosana, Khanyisile, SKHOSANA, RORISANG, Skoko, Tandiwe, Slabbert, Sunet, Smangaliso, Ntombela, Smedley, Christine, Smit, Lydia, Smit, Natassia, Smit, Lizelle, Smit, Michelle, Smith, Fasie, Smith, Lizzie, Smith, Sunell, Smith, Cassius, Smuts, Stefan, Sofe, Ayanda, Solomon, Khobane, Solomon, LJ, Sombani, chauke, SONGCA, RICHARD, Sontamo, Anga, Soorju, Supriya, Sopazi, Zubenathi, Soqasha, Brian, Sosibo, Bongiwe, Sotsaka, Ntsika, Soula, Mandy, Spoor, Simon, Stacey, Sarah, Stali, Asanda, Stephina, Mutele Mmboniseni, Steup, Myra, Steven, Sinoxolo, Stevens, AW, Stevens, Vincent, Steyn, Dewald, Steyn, Bianca, Stocks, Pat, Stolk, Henk, Stoltz, Alida, Strehlau, Renate, Stroebel, Anneke, Strydom, Loraine, Strydom, Jean-Marie, Strydom, Anton, Strydom, Ursula, Sunnyraj, Midhu, Swana, Nwabisa, Swanepoel, Winnie, Swanepoel, Suzan, Swartbooi, Elsie, Swartz, Estley Swartz, Syce, Casandra, T.E, Shihambi, Tabane, Joyce, Tabane, NE, Tawana, Mrs, Tebello, Ntene, Tembe, Siphosetu Wiseman, Terblanche, Samantha, Thabede, Ntombifuthi, Thabelo, Nkhumeleni, Thabethe, Sibusiso, Thabo George, Lekhanya, Thare, Keorapetse, Thebogo, Makofane, Thekiso, Lerato, Theko, Lloyd, Themba, Celimphilo Zandi, Theron, Danie, Theron, Henda, Theron, Ilze, Thingathinga, Thandiwe, THLABADIRA, M.M, Thoka, Dikeledi, Thokwana, Zanele, Thom, Gustav, Thubakgale, Mamphot Joel, Thwala, Theodora, Thys, P, Tieho, Monethi, Timothy, Matodzi, Tintswalo, Ndlovu, Tivana, Babalwa, Tladi, Molefi, Tokota, Bongiwe, Toni, Simthandile, Torres, Ariel, Toubkin, Mande, Tsatsi, Marinda, Tshabalala, Khanyisile, Tshamase, Nozibele, Tshefu, Gontse, Tshegofatjo, Makgoga, Tshikomba, Given, Tshilo, Thapelo, Tshira, Lerato, Tshirado, S.T, Tshisikule, Maipfi, Tsoke, G, TSOKE, N, Tsoko, Alatha, Tsotetsi, Mosele, TSUBELLA, SANDEVA, Tuswa, Noxolo, Tutse, Maipato, Tutu, Nomayenzeke, Twala, Sphephelo, Twala, Nhlanhla, Twala, Simphiwe, Ubisi, John, Unathi, Tefo, Van Aswegen, A, van der Merwe, Marietjie, van der Merwe, Trudie, van der Plank, Patience, van der Spuy, Elmarie, Van Der Westhuizen, Linda, Van Der Westhuizen, Adele, van der Westhuizen, Talana, van der Westhuyzen, Mene, Van Dyk, Thea, van Heerden, Ingrid, van Jaarsveld, Ryno, Van Lill, M, van Niekerk, Heidi, van Niekerk, Ben, van Rensburg, Amanda, van Schallwyk, Judy, Van Sensie, Zeitschke Yarnrich, van Vuuren, Magda, van Vuuren, Cloete, Vandu, Olga Funiswa, Vane, Mandisa, VanZyl, Lucia, Variava, Ebrahim, Veerus, Mariam, Velapi, Nokhwezi, Veleko, Sebina, Velezantsi, Z., Venter, Retha, Vergottini, Corlia, Vermeulen, Inga, Vidah, Liabara Lufuluvhi, Vilakazi, Bongani, Vilakazi, Treasure N, Vilakazi, Mbalenhle Precious, Viljoen, Karen, Viljoen, Werner, Volschenk, Zuretha, Vos, Angelo, VV, Matlala, Walters, Jacques, Webb, Kate, Welsh, John, WESSELS, D, Wheller, Judy, White, Fundile, White, Priscilla, Whyte, Carmen, Willemse, Ansie, William, Sape, Williams, Daniel, Williams, Kamielah, Williams, Mercia, Williamson, Anne, Wilson, Cherade, Wolff, Boipelo, Wray, Michelle, Xaba, Ntombizonke B, Xaba, Thabang Jabulani, Xiniwe, Thanks, Xoliswa, Mtshali, Xulu, Funokwakhe, Xulu, Gibson, Yam, Sandlakazi, Zakhura, NM, Zareloa, Mashela, Zinto, Sive, Zinziswa, Dyibeni, Ziselo, Lulamile, Zitha, Zakhele, Zitha, Emmanuel, Zokufa, Anele, Zondi, Innocent, Zondi, Sikhumbuzo Bernard, Zondi, Sbuyi, Zondi, Thulani, Zongola, Wandiswa, Zühlke, Liesl, Zulu, Zandile, ZULU, LUNGELO, Zulu, Thandeka, Zulu, Slindili, Zulu, Nkosinathi, Zuma, Angel, Zungu, precious, Zungu, Pamela, Zungu, Melusi, Zungu, Priscilla, Zwakala, Bongo Lihle, Zwane, Antonia, Zwane, Promise, Zwane, Muziwendoda, Zwane, Hlengiwe Priscila, Zwane, Nomgcobo, Jassat, Waasila, Mudara, Caroline, Ozougwu, Lovelyn, Tempia, Stefano, Blumberg, Lucille, Davies, Mary-Ann, Pillay, Yogan, Carter, Terence, Morewane, Ramphelane, Wolmarans, Milani, von Gottberg, Anne, Bhiman, Jinal N, Walaza, Sibongile, and Cohen, Cheryl

Published
2021
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12. The ontology of epidemics—A value‐dependent realist account of epidemics.

Author

Smart, Benjamin T. H. and Combrink, Herkulaas M. V.

Subjects
*RESEARCH funding, *PHILOSOPHY, *PUBLIC opinion, *PSYCHOLOGICAL adaptation, *UNCERTAINTY, *EPIDEMICS, *CONCEPTUAL structures, *PUBLIC health
Abstract

Rationale: Charters and Heitman have recently argued that epidemic status is lost once the disease becomes 'accepted into people's daily lives and routines, becoming endemic—domesticated—and accepted'. This is a normativist, subjectivist approach to epidemic classification; that is, it is both value‐laden, and dependent on the attitudes of the population. In this article, we argue for an alternative approach: a value‐dependent realist account of epidemic‐status. Aims and Objectives: We aim to provide an ontological account of epidemics, with a particular focus on their endings. We do not attempt to present a historical account of previous epidemics, or why their endings were declared, but rather consider the theoretical underpinnings of such declarations. Further, our account is meant to be more prescriptive than descriptive; that is to say, even if public health does not currently view epidemics in the manner we advocate, the metaphysic of epidemics we advocate is, we believe, that which public health should ultimately endorse. Method: The methodologies employed in this article are primarily those common to the philosophy of public health, philosophy of medicine and metaphysics; namely, conceptual analysis grounded by practical considerations. Results: Charters and Heitman have recently argued that epidemic status is lost once the disease becomes 'accepted into people's daily lives and routines, becoming endemic—domesticated—and accepted'. This is a normativist, subjectivist approach to epidemic classification; that is, it is both value‐laden, and dependent on the attitudes of the population. In this article, we argue for an alternative approach: a value‐dependent realist account of epidemic‐status. Conclusion: To frame the argument we draw from complexity theory, arguing that human populations can be viewed as complex systems, and epidemic‐status as an emergent property of a complex system. We propose aggregating the normative standards relevant to labeling a disease as an epidemic, and use this as our indicator for both the beginning, and the end of epidemics. An epidemic ends, we argue, once the burden of disease drops below an objective but distinctly normative 'epidemic threshold'. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Stepping up with ChatGPT

Author

Scheltema-Van Wyk, Cornelle, primary, Combrink, Herkulaas, primary, Brokensha, Susan, primary, van der Merwe, Sean, primary, and Matlhoko, Ketshepileone Shiela, primary

Published
2023
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31. Risk factors for COVID-19-related in-hospital mortality in a high HIV and tuberculosis prevalence setting in South Africa: a cohort study

Author

Jassat, Waasila, Cohen, Cheryl, Tempia, Stefano, Masha, Maureen, Goldstein, Susan, Kufa, Tendesayi, Murangandi, Pelagia, Savulescu, Dana, Walaza, Sibongile, Bam, Jamy-Lee, Davies, Mary-Ann, Prozesky, Hans W, Naude, Jonathan, Mnguni, Ayanda T, Lawrence, Charlene A, Mathema, Hlengani T, Zamparini, Jarrod, Black, John, Mehta, Ruchika, Parker, Arifa, Chikobvu, Perpetual, Dawood, Halima, Muvhango, Ntshengedzeni, Strydom, Riaan, Adelekan, Tsholofelo, Mdlovu, Bhekizizwe, Moodley, Nirvasha, Namavhandu, Eunice L, Rheeder, Paul, Venturas, Jacqueline, Magula, Nombulelo, Blumberg, Lucille, Abdullah, Shaina, Abrahams, Fiona, Adams, Vincentius, Adnane, Fhima, Adoni, Sonia, Adoons, Dieketso Melitta, Africa, Veronique, Aguinaga, D, Akach, Susan, Alakram Khelawon, Prisha, Aldrich, George, Alesinloye, Olatunde, Aletta, Mathale Biniki, Alice, Mametja, Aphane, Tebogo, Archary, Moherndran, Arends, Felicity, Arends, Shireen, Aser, Munonde, Asmal, T, Asvat, Mohammed, Avenant, Theunis, Avhazwivhoni, Muvhali, Azuike, Magnolia, Baartman, Johanna, Babalwa, Dlava, Badenhorst, Johan, Badenhorst, Miranda, Badripersad, Bianca, Badul, Lalihla, Bagananeng, M, Bahle, Mncedisi, Balfour, Liezl, Balfour, Liezl, Baloyi, T C, Baloyi, S, Baloyi, Tinyiko, Baloyi, Tshepo Mpho, Banda, Thokozani, Barit, Shimon, Bartsch, Nicole, Bayat, Junaid, Bazana, Siyabulela, Beetge, Marlene, Beetge, Marlene, Bekapezulu, Nosindiso, Belebele, Rammala, Bella, Phala, Belot, Zanenkululeko, Bembe, Lindi Gladys, Bensch, Sonja, Beukes, Gishma, Bezuidenhout, Karla, Bhembe, Themba, Bikisha, N A, Bilenge, Ben, Bishop, Leesa, Biyela, Baphamandla, Blaauw, Cyntheola, Blaylock, Mark, Bodley, Nicola, Bogale, Power, Bokolo, Sibongile, Bolon, Stefan, Booysen, Mary, Booysen, Eldereze, Boretti, Lia, Borges, Paula, Boshoga, Millicent, Bosman, Natasha, Bosvark, Lucinda, Botes, Nicky, Botha, Adele, Botha, Chantall, Botha, Jana, botha, Chantall, Botha, Mandlakayise Irvin, Botha, Alet, Bradbury, Janet, Breakfast, Zandisile, Breed, Maria, Brenda, Molele, Brice, Moshito, Britz, Jolene, Brown, Amanda, Buchanan, T, Bucwa, Thozama, Burger, Crystelle, Busakwe, Ziyanda, Bushula, Nosiviwe, Buthelezi, Zinhle, Buthelezi, Dumsile, Buthelezi, Thubelihle, Buthelezi, Mpumelelo Basil, Buthelezi, Fundiswa Lidwina, Bux, Nadia, Buys, Christoff, Buys, Anneline, Caka, Ernestina, Canal, Armando Sanchez, Caroline, Sithole, Casper, Monrick, Cawood, Shannon, Cebisa, Oratile, Cele, Nothando, Cele, Sboniso, Cele, Sthembile Goodness, Chauke, Mkhacani, Chauke, Pinkie, Chelin, Nevil, Chen, Xiaohui, Chetty, Venmalla, Chetty, Kerisse, Cheu, Christinah, Chibabhai, Vindana, Chirima, Takudzwa, ChisaleMabotja, Mantwa, Chivenge, Charity, Choene, Ngoasheng, Choko, Mbali Nosisa, Choshi, Martin, Chowdhury, Sabbir, Christoforou, Anastacia, Chuene, S L S, Chueu, T S, Cilliers, Dale, Cilliers, Vanessa, Claassen, Marcel, Cloete, Jeané, Coelho, Chantelle, Coelho, Chantelle, Coetzee, Carol, Coetzee, Hans Jurgens, Coetzee, Christine, Coetzee, Marelize, Coetzer, Dane, Coka, Sizwe, Colane, M, Combrink, Herkulaas, Conjwa, Songezo, Contrad, Colleen, Cornelissen, Faith, Cronje, Leezelle, Crouse, Christine, Dabi, Tshidi, Dandala, Ziyanda, Dangor, Ziyaad, Daniel, Gildenhuys, Daniel, Ngwana, Daumas, Alfred, Dauth, Madelein, David, Mongalo, Davids, Wayne, Daweti, Nozuko, Dawood, Halima, Dayile, Wandisa, De Bruin, B, De Klerk, Karin, De la Rosa, Tanya, de Nysschen, Marice, De vos, Marie, De Wet, Darien, Debising, Mohith, Deenadayalu, Darshan, Dekeda, Babalwa, Desiree, Mofokeng, Deysel, Annelise, Dhlamini, Abram, Diala, Makgethwa Dhlala, Diale, Mathapelo, Diketane, Bella, Dingani, Nosisa, Diniso, Siyabonga, Diphatse, Lesego, Diya, Anele, Dladla, Zihloniphile, Dladla, Nompumelelo, Dladla, Mlungisi, Dladla, Patience, Dlamini, Baphilie, Dlamini, Nonhlanhla, Dlamini, Linda, Dlamini, Nonzwakazi, Dlamini, Wendy, Dlamini, Ncomeka, Dlamini, Siyabonga, Dlamini, Nicodemus, Dlamini, Lebohang, Dlamini, Motshedise, Dlava, Babalwa Christine, Dlova, Phikiwe, Dlozi, Lindiwe, Doreen, Maenetja, Doyi, Vumile, Doyi, Athini, Du Plessis, Belinda, du Plessis, Johanna Aletta, du Plessis, Eddie, du Plessis, Nicolette, du Plessis, Karin, du Toit, Briette, du Toit, Narissa, Dube, Jabulile, Dubula, Athayanda, Duduzile, Msomi, Duiker, Sechaba, Duma, Unati Bongile, Duma, Kholiwe, Dunne, Kella, Dyantyi, Kholeka, Dyantyi, Avile, Dyasi, Simphiwe, Dyondzo, Chauke, Dyubhele, Phelisa, Dywili, B J, Edwards, Letitia, Eksteen, Madie, Ellis, Tersia, Ellis, Tia, Emmerson, Glenda, Enslin, Theusia, Epule, Odimula, Erasmus, Lana, Erick, Mathonsi, Etsane, Lerato, Eunice, Shimange, Fani, Zanele, Ferreira, Mariette, Finger-Motsepe, K L, Floris, Fabion, Fobo, Tseko, Fokotsane, Keresemetse, Fokwana, Duduzile Emmelda, Fords, Genevieve Marion, Fortein, Juanita, Fouche, Christine, Fourie, Rulandi, Frean, Andrew, Fredericks, Ludwig, Funda, Wandile, funjwa, kabelo, Futhane, Martha, Futuse, Amanda, Gabaediwe, Dora, Gabuza, Nonhlanhla, Galant, Janycke, Gama, Zanele, Gano, Thobile, Gardiner, Emma Cora, Gastrow, Henri, Gate, Kelly, Gaunt, Ben, Gavaza, Rikhotso, Gayi, Thapelo, Gcakasi, Nkosinathi, Gcobo, Nomusa, Geffen, Leon, Geldenhuys, S, George, Jenny, Gerber, Martha, Getyengana, Zolisa, Gigi, Nkululo, Gihwala, Radha, Gilliland, Mitchell, Gloria, Zandile, Glover, Elitia, Gokailemang, Ellen, Goosen, Suseth, Gopane, Maria, Gosa-Lufuta, Thandazile, Gosnell, Bernadett, Gouws, Sharleen, Govender, Christina, Govender, Raksha, Govender, Pearl, Govender, Sally, Govender, Christina, Govender, Roxanne, Govender, K, Govender, Savie, Govinden, Rashika, Gqabuza, Luphumlo, Gqaji, Nomthandazo, Gqetywa, Maneo, Green, Caroline, Green, Nathan, Green, Neera, Grobler, Hendrik, Groenwald, Pamela, Grootboom, Daniel, Gumede, Beatrice, Gumede, Nomonde, Gumede, Simphiwe, Gumede, Simphiwe, Gumede, Slindile, Gumede, Ntombikayise, Gumede, Zenande, Gxotiwe, Thandiswa, H L, Makhubela, Hadebe, Nonhlanhla, Hadebe, Skhumbuzo, Halkas, Christos, Hamer, Ansie, Hamida, Ebrahim, Hammond, Juan, Haniff, Sumayia, Hare, Annelise, Hattingh, lorinda, Hendricks, Thenjiwe, Henecke, Philip-George, Henly-Smith, Brends, Herselman, Glynis, Heymans, Ansie, Heyns, Chantel, Hlabahlaba, Golekane, Hlabangwane, Lucky, Hlamarisa, Simango, Hlanzi, Ntokozo, Hlela, Hlengiwe, Hlokwe, Katlego, Hlongwa, Thembinkosi, Hlongwana, Anele, Hlubi, Themba, Hobo, Tozama, Hopane, Nare Nathaniel, House, Mariska, Hudson, Catharina, Huysamen, Marinda, Indheren, Jezreen, Ingle, Samantha, Isaacs, Gavin, Isaacs, T S Thekiso, Itumeleng, Maringa, J van Rensburg, Karien, Jackson, Saloshni, Jacob, Neziswa, Jacobs, Burton, Jacobs, Tshireletso, Jacobs, Gugulethu, Jaftha, Mesadi, Jaji, Zimkhitha, Jali, Sibusiso, James, Gcobisa, January, Gillian, Jeke, Andiswa, Jeremiah, Laurent, Jeremiah, L S, Jhetam, Mubeen, John, Maureen, John, Chuene, Jola, Thandiwe, Jonas, Yolande, Jonas, Anovick, Juggernath, Amilcar, Kaba, Eileen, Kabo, Venetia, Kadi, Disebo, Kaizer, Karabo, Kambule, Moshaya Peter, Kapp, Lorraine, Kau, Tshepo, Keneth, Nchabeleng, Kgabi, O, Kgafela, Tebogo Audrey, Kgakgadi, Vincent, Kgaswe, Isabella, Kgathlane, Tsholofelo, Kgetha, Vuyelwa Julia, Kgomojoo, Mmaselloane, Kgoro, B, Kgosiemang, Christinah, Kgosiencho, Gloria, Khambula, Stephen, Khan, Ariffa, Khanare, Refemetswe, Khanyase, Ncamsile, Khanyile, Nokwethemba, Kharatsi, Fillip, Khawula, Simangele, Khohlakala, Themba, Khomo, Letitia, Khoza, Isabel, Khoza, Sinethemba, Khukule, Nombulelo, Khumalo, Busisiwe, Khumalo, Tracy, khumalo, Zinhle, Khumalo, Vuyelwa, Khumalo, Delisile, Khumalo, Lebohang, Khumalo, Boitumelo, Khumalo, Thuli, Khumalo, Gugu, Khuzwayo, Bongiwe, Khuzwayo, Thembhelihle, Kidson, Hennie, Kistan, Jesne, Klaas, Gugu, Klassen, Marilyn, Koeberg, Josehine, Koen, Marizel, Koena, Simphiwe, Kok, Ina, Kola, Imraan, Kolokoto, Karabo, Konar, Ramachandra, Kotsedi, Dr, Kotze, Jaline, Koupis, Martins, Kritzinger, Helen, Kruger, Marlize, Kruger, Henk, Kubayi, Tlangelani, Kubeka, Thabisile, Kubheka, Nonjabulo, Kubheka, Melusi, Kubheka, Sibusiso Clifford, Kubheka, Erol, Kumalo, Monica, Kunene, Thulani, Kunene, Siphilile Candy, Kunneke, Yvette, Kupa, R P, Kutama, Rachel, Kwakwazi, Nompumelelo, Kweyama, Lwanele, Labuschagne, Maureen, Labuschagne, Marina, Lakshman, Prabha, Lakshman, Prabha, Lamani, Lungelo, Lamani, Thembela, Langa, Naomi, Langeni, Khangelani, Langeni, Aphelele, Langeni, Nwabisa Hazel, Langeveldt, Gena, Laubscher, Anchen, Le Roux, Laetitia, Leah, Magagane, Lebea, Collen, Lebea, Sello, Lebenya, Viyella Phumla Cynthia, Lebogang, Lorraine, Leboho, P K, Lee, Chantel, Lefakane, Kelebogile Rejoice, Legoabe, Zandile, Lekala, Patrick, Lekhoaba, Motsitsi, Lekunutu, Tanki Shadrack, Lerefolo, Galaletsang, Letebele, N, Lethoba, Tsepo Patric, Letlalo, Emission, Letlhage, Ofentse, Letshufi, D S V, Letsoalo, Dineo Fiona, Letsoalo, Seleka Jones, Letsoalo, Pennelope, Letwaba, Getrude, Linda, Sobekwa, Lipholo, Katleho, Litabe, Sabata, Lochan, Harsha, Lomax, Linda, Lombaard, Francina, Loots, Elmarie, Lourens, Ariana, Lourens, Ariana, Louw, Celeste, Louw, Rianna, Lubambo, Zikhona, Lubambo, Msebenzi Moises, Ludada, Gregory, Lukas, Michael, Lungu, Thembela, Lupindo, Nomvume, Lusenga, Emmah, Luthuli, Happiness, Luvuno, Zoleka Sylvia, M H, Gwangwa, Maarman, Mustafa, Mabaso, Buyisiwe, Mabaso, Cynthia, Mabitle, Morena, Mabogoane, Grace, Mabone, Kgakgamatso, Mabuza, Rueben, Mabuza, Velaphi, Madiseng, Mogantla, Madlala, Thobile, Madolo, Mashooase, Madonsela, Thabiso, Madubanya, Lesetsa, Maepa, Amukelani, Mafumana, Namhla, Mafumo, Caroline, Magadla, Pumeza, Magale, Viscah, Magaqa, Nompumelelo, Magda, Oberholzer, Magdeline, Rakgoale, Maggie, Tswai, Maginxa, Bongeka, Magoba, Cathrine Maite, Magongwa, Caroline, Magubane, Agretia, Magubane, Agretia Ntombizodwa, Magwai, R, Mahabane, D I, Mahabeer, Padmini, Mahadulula, Elsie, Mahanjana, Lungiswa, Maharaj, Amy, Mahlambi, Qedusiza, Mahlangu, Yvonne, Mahlangu, Lerato, Mahlangu, Ntombifikile, Mahlangu, Makhosazana, Mahlangu, Mahlatsi, Mahlasela, Penelope, Mahlatse, Thosago, Mahlobo, Regina, Mahole, Dikhing, Mahomed, Adam, Mahubane, Mapeu Debora, Mahume, Peter, Maifo, Lehlogonolo, Maimane, Vincent, Maimele, Petunia, Maine, Phakoe, Mainongwane, Patricia Senyanyathi, Majamani, Nomalungisa, Majozini, Amahle, Makalima, Noluthando, Makam, Nomfundo, Makamba, Khanyisa, Makan, R, Makarapa, Mashiane, Makgahlela, Malesela, Makgisa, Mogoiwa David, Makgomo, Makgoba, Makgopa, M A, Makhalema, Mabone, Makhanya, Lindokuhle Lizo, Makhanya, Philile Valentia, Makharaedzha, Tolerance, Makhathini, Nathi, Makhesi, Elizabeth, Makhubela, Cinile, Makhunga, Nkululeko Freedom, Makhupula, Nomalinge, Makhura, R R, Makola, Rangwato, Makuba, Zingisa, Makubalo, Asanda, Makumsha, Lonwabo, Makuya, George, Malaka, Levy Mmachuene, Malangeni, Themba, Malatji, M L, Malebana-Metsing, Pelonomi, Malek, Malek, Malevu, Luthando, Malevu, Luthando, Malgas, Juanita, Malgas, Dimakatso, Malope, Paul Makgasane, Malose, Monyeki, Maluleke, Katekani, Mambane, Kato, Mamorobela, Nthabiseng, Manamela, Kukami, Manana, Tshepo, Maneto, Sathiel, Manganye, Aron Kabelo, Mangena, Pheto, Mangoale, Anna, Mangozho, Tinotenda Florence, Manickchund, Pariva, Mankayi, Zandisile, Manning, Arthur, Manyaapelo, Kelebogile Manyaapelo, Manyane, Tabea, Manzana, Zoliswa, Manzini, Milton, Mapasa-Dube, Busisiwe, Maphumulo, Siboniso, Maphumulo, Ntombifuthi, Maponya, Sindy, Maponya, Khomotso Mumsy, Maponya, Napjadi, Maqubela, Lami, Maqubela, Lizeka, Maqungo, Vuyo, Marais, Marisa, Marais, Chantal, Maramba, Nondumiso, Mare, Annelize, Maredi, Madumetsa, Martins, Afikile, Marule, Johanna, Marumo, Refilwe, Masakona, N N, Masehla, Kedibone Vincentia, Maseko, Eric, Maselesele, Tshilidzi, Maselo, Mojalefa, Maseloa, M, Masemola, M E, Masemola, Thembi, Mashaba, Bella, Mashangwane, James, Mashao, Mantebele, Mashego, Shalom, Mashele, Lerato, Mashiane, Ester, Mashibini, Joyce, Mashilo, J, Mashiloane, Tumi, Mashishi, Charity, Mashiyi, Ngazibini, Mashudu, Khomola, Masindi, Aluwani, Maslo, Caroline, Masondo, Nduduzo, Masuku, Dumisile, Matamela, Cry, Matandela, Mirriam, Mathabela, Nontokozo, Mathabi, T, Mathe, Keitumetse, Mathebula, Mathabo, Mathebula, Catherine, Mathebula, Mdungazi Andres, Mathenjwa, Nqobizwe, Mathibe, Jane, Mathibela, Lebohang, Mathilda, Makwela, Mathiva, Khakhu, Mathobela, Mokgadi Alinah, Mathonsi, Fikile Pearl, Mathonsi, K P, Mathosa, Katlego, Matiwane, Noluvo, Matjeke, Emma, Matjiane, Bella, Matjila, Thabang, Matlala, Chidi, Matome, Petlo, Matoti, Nolusindiso, Matseliso, C, Matsemela, Dineo, Matsha, Phumeza, Matshediso, Gaalebale Prudence, Matshediso, Motsumi, Matshela, Esther, Mavuma, Bongeka, Mavundla, Pearl, Mavuso, Nomthandazo, Mawasha, Lovender, Mawelela, Rebecca, Mazibuko, Nelisiwe, Mazibuko, Phumlani, Mazubane, Lindiwe, Mbanjwa, Bavumile, Mbasa, Ayanda, Mbatha, Nosimilo, Mbatha, Zanele, Mbatha, Rudolph Zenzele, Mbedzi, Gift, Mbizi, Tatenda Trevor, Mbonambi, Khumbulani, Mboniswa, Nondumiso, Mbonisweni, Nomfanelo, Mbuilu, Jody, Mbulawa, Siyabonga, Mbutho, Zama, Mbuzi, Natasha, Mchunu, Nonkululeko, Mchunu, Cyprian, Mchunu, Nokuzola, Mchunu, Masesi Thandeka, Mciteka, Vuyokazi, Mdaka, Solly, Mdakane, Neho, Mdediswa, Siyabonga, Mdima, Melusi, Mdima Masondo, Nozipho, Mdindana, Siviwe, Mdleleni, Ntombizikhona, Mdletshe, Sibusiso, Mdoda, Gcobisa Precious, Mdolo, Ntombi, Mdontsane, Anele, Mehta, Ruchikas, Memela, Philile Rittah, Methuse, Masande, Metshile, Keatlaretse, Metuse, Pheliswa, Meyer, Anton, Meyer, Gavin, Meyer, Cameron, Mfazwe, Sisonke, Mfecane, Andiswa, Mfecane, Bongeka, Mfeka, Nelisiwe, Mgaga, Busisiwe, Mgauli, Thandiwe Portia, Mgedezi, Thembekile, Mgedezi, Vuyokazi, Mgevane, Kalipile, Mgiba, Bongni, Mgoduka, Babalwa, Mhlaba, Patrick, Mhlaba, Zeldah, Mhlanga, Ntombizodwa, Mhlinza, Vangile, Mhlongo, Nokuthula, Mhlongo, sibongiseni, Mhlotshana, Unamandla, Mikateko, Mabaso, Minnie, Helena, Mintoor, Karen, Miyeni, Bongi, M J, Mabelane, Mjethu, Rosy, Mkhize, Gloria, Mkhize, Mvuselelo, Mkhize, Ntokozo Siyabonga, Mkhize, Victoria, Mkhize, Nomkhosi, Mkhize, Nokuthula, Mkhwanazi, Mathini, Mkile, Nolwandle, Mkise, Kholofelo, Mkiya, Nokwandiso, Mkongi, Pearl, Mkongi, Pearl, Mkungeka, Mnonopheli, Mlahleki, Hlomile, Mlibali, Nolukholo, Mlungwana, Sakhumzi, Mmachele, Jonas, Mmateka, Mashatole, Mmokwa, Molebatsi, Mmutlane, Thembisa, Mndebele, Zanele Olive, Mngomezulu, Nonhlanhla, Mnguni, Noluthando Millicent, Mngunyana, Pumza, Mngunyana, Nomxolisi, Mngxekeza, Ntombebongo, Mnisi, Zenzele, Mnqayi, Hlengiwe Precious, Mnqayi, Phumzile, Mntungwa, Thabiso, Mnyaka, Siya, Mnyakeni, Ntombikayise, Mnyamana, Vuyani, Mnyipika, Nomzingisi, Moabelo, Koena, Moatshe, Mmakgoshi Alseria, Mochaki-Senoge, Jennifer, Moche, Sharon, Mocwagae, Tebello, Modibane, Koeikantse, Modimoeng, Tebogo godfrey, Modisa, Obakeng, Modisane, Itumeleng, Modise, Olebogeng, Modjadji, Makaepeaa Flovia, Modupe, Sharon, Moeketsi, Maja, Moeketsi, Ntswaki, Moeng, Kereditse Kingsley, Mofamere, Naledi Nthabiseng, Mofokeng, Samuel, Mofokeng, Thabo, Mofomme, Jonas, Mogakane, Vicky, Mogale, Lehlohonolo, Mogapi, Audrey, Mogashoa, Thomas, Mogatla, Mphaka James, Mogoale, Kgaladi, Mohajane, Dikeledi Maggie, Mohapi, Nkuba, Mohatsela, Mthoamihla, Mohlala, Irene, Mohlala, Daphney, Mohlamonyane, Mpho, Mohutsiwa, Bonolo Millord, Moipone, Selemela, Moisi, Tshepang, Mojalefa, Nelly, Moji, Vuyo, Mokangwana, Buhle, Mokgabo, Matloa, Mokgaetji, Manaka, Mokgaotsi, Jane, Mokgoro, Neo Theodore, Mokhatla, Thalitha, Mokhele, Lerato Lovedalia, Mokhema, Sheila, Mokoena, Mamoya, Mokoena, Mojalefa, Mokome, Lleka, Mokone, Cynthia, Mokono, Ipeleng, Mokonyama, Thabiso, Mokori, Josiah, Mokuena, Dolores, Mokumo, Danny, Mokwena, Oddy, Mokwena, Kgaogelo, Mokwena, Kgantshi Sam, Mokwene, Lebogang, Molate, Thato Elliott, Molebalwa, Ditoche, Molefe, Boingotlo, Molehe, Kgopa Stanley, Moleme, Kgomotso, Moliane, Sarah, Moloi, Fanyana, Molorane, Retshepile Joseph, Molotsi, Glenda Tsholanang, Molukanele, Lerato, Monareng, Joy, Moncho, Thapelo, Monica, Modiadie, Monnane, Refilwe, Monqo, Andile, Montewa, Neo, Montsioa, Kgalalelo, Monyaki, Reitumetse, Monyane, Masekhobe Jeanett, Monyela, Lipson, Moodley, Yudeshan, Moodley, Kriesen, Moodley, Kaira, Mooka, Boitumelo Donald, Moonsamy, Prea, Moopanar, Simmi, Moore, David, Mophethe, Lineo, Moremedi, Tshegohatso, Moremong, Kealeboga, Morgan, Nthangeni, Moripa, Egma, Morris, Lulamile, Mosala, Me. A.M., Mosana, Thabo, Mosase, Alice, Mose, Yolanda, Mosehlo, Maponya, Moseki, Mothusi, Moshabe, Mojalefa David, Moshai, D A, Moshani, Mbulelo, Moshani, Pelisa, Mosima, Ledwaba, Mosima, Ezrom, Mosoma, M P, Motaung, Lebohang, Motaung, Mokete, Motaung Xhama, Thozama Charmain, Motha, Purine Khethiwe, Motimele, Lerato, Motimeng, Boitumelo, Motladiile, Shirley, Motlhabane, Otsile, Motlhamme, Joshua, Motloba, Mandla, Motse, Kagiso, Motshegoa, Sophia, Moutlana, Edward, Mouton, Irma, Moya, Zanele, Moyake, Nomonde, M P, Maja, Mpete, Jenny, Mpfuni, Luamba Meltha, Mphahlele, Seputule Mphahlele, Mphake, Mashadi, Mphanya, Ephraim Letlhogonolo, Mphaphuli, Mashudu, Mphela, Tebogo Chwene, Mpontshane, MS, Mqotyana, Thabile, Mqungquthu, Babalwa, Msane, Noluthando Busane, Mseleku, Malusi, Msibi, Sibusiso, Msibi, Mancele, Msibi, Thulisile, Msibi, Siyabonga Linda, Msiza, Clement Nhlanhla, Msomi, Lungelo, Mtatambi, Mandlenkosi, Mthathambi, Thembisa, Mthembu, December, Mthembu, Nhlahla, Mthembu, Fezile Mbali, Mthembu, Lungiswa, Mthethwa, Nompumelelo Petunia, Mthimkhulu, Khulekani, Mthuli, Lungani Percival, Mthunzi, Ashley, Mtolo, Xolani Sydney, Mtolo, Nomonde Precious, Mtshali, Linda, Mtwa, Neliswa, Mtyobile, Fezeka, Mtyobile, Kanyisa, Mudau, Mpfariseni, Muemeleli, Magwabeni, Mulaudzi, Isaac, Mulaudzi, Rebecca, Mulaudzi, Mhlelekedzeni, Muligwe, Dakalo Rejoyce, Muponda, Blessing, Mushadi, Mmbangiseni Stella, Mushid, M, Muthaphuli, Konanani, Muthavhine, J, Muthika, Mpho, Mvelase, Samkelisiwe, Mvelase, Vusi, Mwehu, Laurent Kayumba, Myaka, Thabile, myburgh, Magriet, Mzamo, Zimkhitha, Mzawuziwa, Fezeka, Mzini, Mfundo Lunga, Mzizana, Oscar, Mzobe, Ntokozo, Mzobe, Thokozile, Mzobe, Zamaswazi, Mzwandile, Mtimkulu, Naby, Fathima, Naicker, Keshnee, Naicker, Pregashnie, Naicker, Saroja, Naicker, Pershen, Naicker, Saiyen Virgil, Naidoo, Ria, Naidoo, Sam, Naidoo, Mergan, Naidoo, Kamalambal, Naidoo, Aroomugam, Naku, Sivuyile, Nakwa, Firdose, Nancy, Masoga, Nathan, Rita, Naude, Maritsa, Ncaza, Gcobisa, Ncaza, Aviwe, Ncha, Relebohile, Ncoyini, Yanelisa, Ncube, Snothile, Ndaba, Mrs, Ndaba, Vusumuzi, Ndaba, Mmapula, Ndawonde, Siziwe, Ndevu, Ziphozihle, Ndhlovu, Nonhlanhla Faith, Ndima, Simphiwe, Ndlela, Sindisiwe, Ndlela, Thobsile P, Ndlovu, Nobuhle, Ndlovu, Nwabisa, Ndlovu, Virginia Dipuo, Ndlumbini, Sombekhaya, Nduli, Khululiwe, Nduli, Priscilla Nontokozo, Ndwambi, Michael, Nel, Jeremy, Nel, Rina, Nel, Lizelle, Nemanashi, Ntsundeni florah, Nemudivhiso, Usinkhangwe Nyaphophi, Nemutavhanani, Joyce Nemutavhanani, Nene, Jabu, Nene, Xolani, Netshilonga, David, Netsianda, Rendani, Newton, Charmaine, Ngalo, Vuyo Leroy, Ngani, Ncumisa, Ngcakaza, Thabisa Monica, Ngcobo, Thamela, Ngcobo, Trulove Nonhlanhla, Ngcobo, Richards, Ngcobo, Gcinile, Ngcobo, Guguletu, Ngetu, Thozama, Ngewu, Pinkie, Ngobeni, Tshepo, Ngobeni, Providence, Ngobeni, Khanyisile, Ngobeni, Prudence, Ngobese, Thembisile, Ngomane, Tracy, Ngondo, Nolusindiso, Ngubane, Nokukhanya, Ngubane, Sithembiso, Nguse, Ntombizodwa Praxedise, 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Abstract

The interaction between COVID-19, non-communicable diseases, and chronic infectious diseases such as HIV and tuberculosis is unclear, particularly in low-income and middle-income countries in Africa. South Africa has a national HIV prevalence of 19% among people aged 15–49 years and a tuberculosis prevalence of 0·7% in people of all ages. Using a nationally representative hospital surveillance system in South Africa, we aimed to investigate the factors associated with in-hospital mortality among patients with COVID-19.

Published
2021
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