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All papers that are published / presented (or in the process of being published / or to be presented) at a scientific conference by SAMRC staff.
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Item Effectiveness of health care provider-led health education to the public on preventive measures for streptococcal infections and the risk of rheumatic fever and heart disease: A Systematic Review(2023-11) Ryklief, L; Abdullah, L; Hohlfeld, A; Oliver, J; Kredo, T; Engel, M.E; EngelItem Antibiotic prevention and management of laboratory confirmed Strep A skin infections to prevent acute rheumatic fever and rheumatic heart disease: A systematic review(2023) Engel, M.E; Leong, T.D; Hohlfeld, A; Mabetha, D; Blose, N; Bango, F; Oliver, J; Kredo, TItem The association between depressive symptoms and psychological wellbeing among adolescent girls and young women (AGYW) during COVID-19 in South Africa(2023-12-04) Chazanga, L; Sigwadhi, L; Moyo, A; Carries, S; Govindasamy, DItem Early lessons learned from a cash transfer plus gender transformative economic intervention seeking to improve wellbeing among women caregivers of CALHIV in South Africa(2024-02-22) Govindasamy, D; Shai, N; Mwandacha, N; Carries, S; Sithole, N; Closson, K; Bhana, A; Sigwadhi, L; Washington, L; Gibbs, A; Kaida, AItem Methadone versus buprenorphine-naloxone for treating opioid dependence and retaining people in care in Tshwane, South Africa(2023-10) Gloeck, N; Bhoora, U; Scheibe, AItem Engaging with young people with mental health lived experience to inform the statistical analysis of a large South African dataset(2024-03) Moyo, A; Sithole, N; Sigwadhi, L; Carries, S; Moyo, R; Bhana, A; Nyasulu, P; Maposa, I; Govindasamy, DItem Road to elimination of mother-to-child transmission in South Africa(2024) Chetty, TItem Geospatial mapping of food advertisements in three low-income communities in Cape Town, South Africa(2023-11-08) Wentzel, A; Eichinger, M; Hill, J; von Philipsborn, P; Holiday, N; Delobelle, P; Mchiza, ZBackground: The South African food environment is characterized by pervasive marketing on television and in print media of unhealthy food and beverages. Little is known about the extent of outdoor food and beverage marketing (product, spatial advertising, branding) at transport interchange areas, community food outlets, and schools. Our study aimed to map outdoor food and beverage marketing within the vicinities of these areas in three low-income communities in Cape Town. Methods: Data on food and beverage-related branding, product type, placement, pictures, and Global Positioning System coordinates were captured using a web-based questionnaire. Geographic Information System software was used to delimit the target communities and areas, geospatially map the physical food environment, and perform spatial analysis of the data. Results: Overall, 986 food and beverage advertisement entries were observed. Preliminary results depicted trends of advertisements clustering around retailers. Spatial trends depicted that fast food and sugar-sweetened beverage (SSB) advertisements were likely to collocate around transport interchange areas, while SSB advertisements were more likely to collocate near schools. The spatial trend for alcohol advertisements indicated a clustering near main roads. Spatial trends for product types varied by location. Few advertisements for fruit and vegetables were captured. Further spatial analysis is underway to assess advertisement density and proximity to youth-related areas, food outlets, and transport interchange areas. Conclusions: Low-income communities, commuters, and schoolchildren in South Africa are targeted by advertisements for unhealthy foods and SSBs, indicating the need for policy intervention to regulate food marketing. Key messages: Geospatial mapping of food and beverage advertisements indicated the promotion of unhealthy products in low-income communities in South Africa. Food and beverage adverts target school children and commuters using public transport in poorer communities.Publication What will it cost to prevent violence against women and girls in low- and middle-income countries? Evidence from Ghana, Kenya, Pakistan, Rwanda, South Africa and Zambia(Oxford Academic, 2020-08) Torres-Rueda, S.; Ferrari, G.; Orangi, S.; Hitimana, R.; Daviaud, E.; Tawiah, T.; Prah, R.K.D.; Karmaliani, R.; Kapapa, E.; Barasa, E.; Jewkes, R.; Vassall, A.; Emmanuelle Daviaud: Health Systems Research Unit, South African Medical Research Council, Francie Van Zyl Drive, Parow Valley, Cape Town 7503, South AfricaViolence against women and girls (VAWG) is a global problem with profound consequences. Although there is a growing body of evidence on the effectiveness of VAWG prevention interventions, economic data are scarce. We carried out a cross-country study to examine the costs of VAWG prevention interventions in low- and middle-income countries. We collected primary cost data on six different pilot VAWG prevention interventions in six countries: Ghana, Kenya, Pakistan, Rwanda, South Africa and Zambia. The interventions varied in their delivery platforms, target populations, settings and theories of change. We adopted a micro-costing methodology. We calculated total costs and a number of unit costs common across interventions (e.g. cost per beneficiary reached). We used the pilot-level cost data to model the expected total costs and unit costs of five interventions scaled up to the national level. Total costs of the pilots varied between ∼US $208 000 in a small group intervention in South Africa to US $2 788 000 in a couples and community-based intervention in Rwanda. Staff costs were the largest cost input across all interventions; consequently, total costs were sensitive to staff time use and salaries. The cost per beneficiary reached in the pilots ranged from ∼US $4 in a community-based intervention in Ghana to US $1324 for one-to-one counselling in Zambia. When scaled up to the national level, total costs ranged from US $32 million in Ghana to US $168 million in Pakistan. Cost per beneficiary reached at scale decreased for all interventions compared to the pilots, except for school-based interventions due to differences in student density per school between the pilot and the national average. The costs of delivering VAWG prevention vary greatly due to differences in the geographical reach, number of intervention components and the complexity of adapting the intervention to the country. Cost-effectiveness analyses are necessary to determine the value for money of interventions.Publication Molecular biology and human genetics retreat(2022) Du Plessis, S; Du Plessis S, Centre of Tuberculosis. South African Medical Research CouncilBiomimetic NP-based HDT for the eradication of M. tuberculosis