Abstract: The project "Population Dynamics Unveiled" delves into the intricate interplay between public health, available resources, and economic ramifications in the context of population dynamics. Employing a comprehensive data-driven approach, this exploration seeks to unravel the complex relationships that govern the growth, distribution, and sustainability of populations worldwide. The study begins by leveraging extensive datasets encompassing demographic information, healthcare metrics, resource availability, and economic indicators. By employing advanced analytical tools and machine learning algorithms, the project aims to identify patterns, correlations, and trends within the data. These insights will contribute to a nuanced understanding of the factors influencing population dynamics, including birth rates, mortality rates, disease prevalence, and resource utilization. Through the integration of public health data, the project aims to discern the impact of healthcare infrastructure, preventive measures, and access to medical services on population trends. Additionally, the analysis will investigate the role of education and awareness in shaping health outcomes and demographic patterns.
Resource availability and utilization represent another focal point of the study. By examining factors such as water, energy, and food resources, the project seeks to assess how population dynamics interact with resource constraints and how sustainable practices can be integrated into population management strategies. Economic implications will be explored in terms of labour force dynamics, productivity, and the distribution of wealth. The project aims to elucidate how population changes influence economic development, income inequality, and the overall stability of societies.
Keywords: Nuanced, Hierarchical framework, DEMATEL(Decision-Making Trial and Evaluation Laboratory), Correlative, Natural resource stock depletion, BI&A(Business Intelligence and Administration), Decision-making quality, Methodological framework.
Cite:
Souparnika BM, Umme Haani, Mahendra MK, "Population Dynamics Unveiled: A Data-Driven Exploration of Public Health, Resources, and Economic Implications", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 1, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13127.
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DOI:
10.17148/IJARCCE.2024.13127
