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Title:
MENSTRUALHEALTH SURVEY - COVID-19 LOCKDOWN: MACHINE LEARNINGANALYSIS

Authors:
Harnehmat Kaur

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Harnehmat Kaur
Student, Mata Jai Kaur Public School, Delhi, India

MLA 8
Kaur, Harnehmat. "MENSTRUALHEALTH SURVEY - COVID-19 LOCKDOWN: MACHINE LEARNING ANALYSIS." Int. j. of Social Science and Economic Research, vol. 3, no. 12, July 2021, pp. 2176-2186, doi.org/10.46609/IJSSER.2021.v06i07.011. Accessed July 2021.
APA 6
Kaur, H. (2021, July). MENSTRUALHEALTH SURVEY - COVID-19 LOCKDOWN: MACHINE LEARNING ANALYSIS. Int. j. of Social Science and Economic Research, 3(12), 2176-2186. Retrieved from doi.org/10.46609/IJSSER.2021.v06i07.011
Chicago
Kaur, Harnehmat. "MENSTRUALHEALTH SURVEY - COVID-19 LOCKDOWN: MACHINE LEARNING ANALYSIS." Int. j. of Social Science and Economic Research 3, no. 12 (July 2021), 2176-2186. Accessed July, 2021. doi.org/10.46609/IJSSER.2021.v06i07.011.

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Abstract:
The paper deals with the results of a survey regarding menstrual health during Covid- 19 Lockdown carried out by an NGO, Sacchi Saheli. A range of questions were asked from the subjects, and the results of the survey were then analysed using machine learningalgorithms like categorical data encoding and model selection. The ML (Machine Learning) model prepared from the results of the survey, showed correlation between different problems faced by women, giving a plausible cause-effect relationship between various factors. All the results of the ML model indicate high correlation of access to sanitary products, to hesitation in asking male members of the family to get sanitary products from markets, gynaecological problems experienced by women, if someone in the subject’s family have tested positive for Covid-19, and hike in prices of sanitary products in local shops and markets. The conclusion points to the harsh reality that societal norms and taboos regarding open discussion on menstrual health have led to very low awareness, and extreme problems in access to proper sanitary products for many women.

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