Abstract
COVID-19 caused by novel Corona virus emerges as a pandemic threat to the entire humanity. People who suffer from malnutrition and lower immunity to fight against the virus are affected severely. From the corona statistics, it is reported children below 13 years, elder people and pregnant women are easily affected by Corona virus than other age group and their mortality rate is also higher. With no vaccine available till now, the only treatment option for the entire world is to have nutritious food and maintain better immunity against Corona virus. This issue becomes more severe in tribal regions of Tamilnadu where they have very low access to medical facilities. To create a healthy generation capable of surviving such infectious illness and other illness, balanced healthy nutrition without under-nourishment is very much essential. Developing such healthy individual starts during the time of pregnancy and hence, pregnant women need to be well-nourished, since it directly affects health of the infants. Malnutrition is a common problem to people of all ages. But, focus of the paper is only on pregnant women, married women who are yet to get pregnant and children under five years of age. Nutritional status of other people are not included in this study. In all the five districts, majority of tribal people live in forests with less resources, financial conditions, educational knowledge and exposure to modern methods available for pregnancy and infant development.
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Anitha, N. et al. (2022). Prediction of Malnutrition Among Pregnant Women and Infants in Tribal Areas of Tamil Nadu Using Classification Algorithms. In: Abraham, A., et al. Hybrid Intelligent Systems. HIS 2021. Lecture Notes in Networks and Systems, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-030-96305-7_9
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