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Harnessing Heterogeneous COVID-19 Data to Build a Data Hub and Apply Artificial Intelligence (AI) and Data Science to Support Public Health and Economic Decision-Making in Kenya and Malawi: INSPIRE PEACH 2021-2023
(IDRC.CRDI, 2023)The emergence of the COVID-19 global pandemic presents serious health and livelihood threats to people in low- and middle-income countries (LMICs) all over the world. There is an urgent need for accurate, real-time data ... -
INSPIRE PEACH Data Harmonization and Deployment Pipeline
(Inspire PeachAPHRC, 2023)The emergence of coronavirus disease 2019 (COVID-19) as a global pandemic presents a serious health threat to many low-and-middle-income countries (LMICs) and the livelihoods of its people. The need for accurate, real-time ... -
"It Takes a Village": Lessons on Capacitating a Policy-Relevant Data Ecosystem
(Africa Evidence Network, 2023)The study supports the formation of communities of practice comprising data scientists, healthcare professionals, and policymakers, to explore large population and health data collated from African Longitudinal Population ... -
Participatory Modeling: Building Citizen Science Intelligence for Pandemic Preparedness and Response (January- February 2023)
(Amref Health AfricaResearchGate, 2023)Introduction Citizen science (CS) is an emerging approach in public health to harness the collective intelligence of individuals to augment traditional scientific efforts. However, citizens viewpoint, especially the ... -
The COVID-19 Sex-Disaggregated Data (Tracker) Project 2020-2023: A Partnership with the International Center for Research on Women (Covering Asia), UCL Global Health 50/50
(GlobalHealth50/50, 2023)Sex-disaggregated data along the clinical pathway, from testing through to hospitalisations and intensive care unit (ICU) admissions, is essential to helping us understand who is being impacted by the epidemic and who has ... -
Towards Trustworthy Artificial Intelligence for Equitable Global Health: Report for AI4GH Workshop
(ResearchGatearXiv, 2023)Artificial intelligence (AI) can potentially transform global health, but algorithmic bias can exacerbate social inequities and disparity. Trustworthy AI entails the intentional design to ensure equity and mitigate potential ...
