MyPredictC: COVID-19 prediction

Initially, from 2020 to 2023, Malaysia experienced multiple waves of COVID-19, with clusters playing a significant role in transmission dynamics. These clusters are crucial for public health, as their characteristics and management significantly impact outbreak control. Unfortunately, existing research in the region often focuses on national-level data, neglecting the insights hidden within cluster-level analysis. MyPredictC aims to bridge this gap by comprehensively analyzing COVID-19 clusters in Malaysia from 2020 to 2023. The process starts with identifying high-risk areas, analyzing the trend of COVID-19 clusters and the active time of each cluster, and monitoring the total cases of COVID-19 in each cluster. Ultimately, seeking to generate evidence-based recommendations for targeted interventions and resource allocation, contributing to a more efficient and effective public health response. The key findings anticipate revealing distinct cluster trends in terms of size, duration, and location, highlighting the importance of a dynamic and location-specific approach to outbreak control. This knowledge contributes to the prediction of COVID-19 and ultimately benefits the community, empowering policymakers, healthcare professionals, and local communities to tailor their efforts to mitigate future waves and reduce the burden of COVID-19 in Malaysia. By bridging the gap in research and focusing on the granular level of clusters, MyPredictC aspires to pave the way for a more data-driven and localized approach to pandemic management, not only in Malaysia but also across the globe.