• Archana Reena Dhan
• Dr. Binod Kumar

Abstract: Coronavirus is known to spread through contact with an infected person, as confirmed by medical professionals worldwide. Interestingly, certain tribal communities near Hazaribagh, close to urban areas, have shown significantly lower infection rates and minimal deaths compared to the urban population. This study indicates that the socioeconomic status and dietary habits of the tribal population in Hazaribagh have a direct impact on the infection and mortality rates of COVID-19. By utilizing a machine learning approach, the correlation between the socioeconomic factors, dietary habits of the tribal, and their infection and mortality rates is demonstrated. These findings could potentially identify food items that enhance the immune system. By identifying immune-boosting foods and developing AYUSH formulations, this research has the potential to be incredibly beneficial. Keywords: socioeconomic factors, covid-19, immune system, machine learning, tribals

socioeconomic factors, covid-19, immune system, machine learning, tribals

"Analysing the impact of socioeconomic factors on the infection and death ratios caused by Covid-19 among tribals in Hazaribagh, Jharkhand using Machine Learning Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.a664-a673, February-2026, Available :http://www.jetir.org/papers/JETIR2602089.pdf

"Analysing the impact of socioeconomic factors on the infection and death ratios caused by Covid-19 among tribals in Hazaribagh, Jharkhand using Machine Learning Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. ppa664-a673, February-2026, Available at : http://www.jetir.org/papers/JETIR2602089.pdf