MPhil study projects

Data analytics practices (raw data knowledge and reasoning, data visualisations and data-driven decision-making) and recommendations to develop data-driven programmes/interventions for HIV mobile health in HIV interventions in the Southern Africa region

Student: Juan Romero Gonzalez

Country: Mexico

The endeavour to eradicate the HIV epidemic by 2030, as championed by UNAIDS, presents formidable hurdles for global HIV intervention organisations. These entities are tasked with gathering pivotal data crucial for combatting the virus. Digital technologies have exhibited promise in ensuring that the amassed information can bolster regions with scant resources and enhance accessibility to superior services.

This research sought to ascertain the optimal practices for HIV/Aids organisations leveraging technology to empower their teams in data analytics and data-driven decision-making. Insights gleaned from six interviews with industry experts revealed that organisations should recalibrate their monitoring and evaluation strategies, provide training in the use of new digital tools and enhance their infrastructure to accommodate the influx of data.

The study recommended that HIV/Aids organisations transition to a data-centric approach by amassing more reliable and consistent data, thereby facilitating informed decision-making. This transformation entails using the gathered data as well as employing easily understandable visualisations for stakeholders.