Modeling study demonstrates a 19% analytical improvement using the MD-PIM framework for COVID-19 in India, highlighting enhanced strategies for disease forecasting and healthcare preparedness.
The global outbreak of COVID-19 has emerged as a profound concern, casting a shadow over nations worldwide. In the case of India, the relentless surge in COVID-19 cases shows no signs of abating, presenting a grave challenge to authorities tasked with its containment. Despite diligent efforts, the pandemic's trajectory remains elusive, confounding attempts at accurate forecasting. This research paper addresses a critical need by embarking on a comprehensive investigation of COVID-19 data available up to October 15, 2022, with a specific focus on the Indian context. It endeavors to shed light on the multifaceted dimensions of the pandemic's impact within India, thereby providing valuable insights for policymakers, healthcare professionals, and the public alike. Our study employs an exhaustive exploratory data analysis, offering a nuanced understanding of the reported COVID-19 cases in India. We scrutinize the evolving landscape of the pandemic and assess India's standing in comparison to other nations similarly grappling with its severe repercussions. Additionally, this research delves into the strategic initiatives and preparedness measures implemented by the Indian healthcare sector, offering a critical examination of its response to the pandemic crisis. By amalgamating rigorous data analysis and a comprehensive overview of India's COVID-19 experience, this study aims to contribute meaningfully to the ongoing discourse surrounding the pandemic's global impact, with the aspiration of fostering better-informed decision-making and more effective pandemic management strategies. Notably, our proposed “Multi-Dimensional Pandemic Insight Model (MD-PIM)” demonstrates a remarkable improvement of 19% in contribution to the overall analysis compared to existing models, further enhancing the research's impact.
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Karthik et al. (2024) studied this question.
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