Knowledge Management Model for Managing Public Health Interventions, Policy, Procedure, Governance, and Technology Innovation in Indonesia COVID-19 Mitigation

Abstract

The COVID-19 pandemic has highlighted the need for efficient knowledge management systems that leverage big data to enhance public health responses. This study focuses on developing a knowledge management framework to support COVID-19 mitigation efforts across diverse regions in Indonesia, specifically in Purwokerto, Samarinda, Medan, and Yogyakarta. By utilizing a big data approach, we aggregated and analysed vast datasets, including public health interventions, policy, procedure, governance, and technology innovation, to provide actionable insights for decision-makers. The proposed knowledge management framework organizes information into accessible formats, allowing health officials to respond rapidly to evolving conditions. The findings underscore the importance of integrating big data into knowledge management systems for improved resource allocation, public health communication, and policy formulation in response to future health crises. This framework provides a replicable model for other regions and pandemics, showcasing the potential of big data to enhance resilience in public health systems.