Page 142 - SAMRC AnnualReport 2025-26
P. 142

Pan African Centre for
                                                               Epidemics Research Unit





                                                               UNIT DIRECTOR:
                                                               Prof. Refilwe Phaswana-Mafuya
                                                               refilwep@uj.ac.za







            Overview of the Research Unit                      healthcare systems, and inform public health policy
                                                               and implementation strategies.
            The SAMRC/UJ Pan African Centre for Epidemics
            Research (PACER) Extramural Unit is dedicated      PACER is also advancing the application of artificial
            to generating cutting-edge epidemiological and     intelligence (AI) and data science in health research
            public health evidence to strengthen equitable and   through initiatives focused on predictive analytics,
            sustainable responses to HIV, local epidemics, and   health  inequalities,  and  evidence-informed
            future pandemics across the African continent.     decision-making. The Unit’s work contributes to

                                                               strengthening Africa’s capacity in epidemiology,
            PACER’s scientific focus is centred on closing critical
            gaps  in  the  HIV  response,  particularly  among   public  health  intelligence,  and  pandemic
            vulnerable and key populations disproportionately   preparedness, while supporting progress towards
            affected  by  HIV  transmission  and  poor  health   the  UNAIDS  95-95-95  targets  and  Sustainable
            outcomes. The Unit conducts innovative, ambitious,   Development Goals.
            and data-driven studies that leverage large and
            heterogeneous datasets from programmatic,          Key Milestones and Achievements
            research, and auxiliary sources to better understand   The  SAMRC/UJ  PACER  EMU  has  significantly
            disease patterns, transmission dynamics, service   contributed to epidemiological  and public health
            utilisation, and treatment outcomes.               research aimed at enhancing responses to HIV and
                                                               future pandemics. The Unit’s research centres on
            The Unit employs advanced analytical techniques,   understanding local epidemics, their immediate
            including big data analytics, machine learning,    and broader impacts, and bolstering preparedness
            predictive modelling, transmission modelling,      for upcoming public health emergencies.
            integrated analyses, small area estimation, and
            longitudinal and cross-sectional epidemiological   A major focus has been examining the impact of
            methods. Through these techniques, PACER           COVID-19 on HIV prevention, treatment, and care
            develops evidence-based strategies that support    services among key populations. PACER conducts
            tailored  HIV  prevention,  treatment,  and  care   studies that characterise and measure disruptions
            interventions sensitive to population diversity and   to HIV services and identify strategies to maintain
            local epidemic contexts.                           continuity of care and enhance service delivery
                                                               within primary healthcare systems.
            In  addition  to  HIV  research,  PACER  contributes
            to broader epidemic preparedness and health        The  Unit  has  also  advanced  research  on
            systems strengthening. The Unit investigates the   vulnerable and key populations that are often
            direct  and  indirect  impacts  of  epidemics  such  as   underrepresented  in  health  data  due  to  barriers
            COVID-19 on healthcare delivery and continuity of   related to stigma, discrimination, violence, and
            HIV services, particularly among key populations. Its   limited healthcare access. By leveraging existing
            work supports efforts to improve service utilisation,   datasets  and  applying  big  data  analytics  and
            reduce morbidity and mortality, strengthen         machine learning techniques, PACER generates



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