Machine Learning to Determine COVID - 19 Awareness and Knowledge among the Housemaids in Mizo Population

Abstract

Brindha Senthilkumar*, Senthilkumar Nachimuthu, Ganesh, Rai and Lal Hmingliana

AIM: The aim of this study is to determine the level of awareness and knowledge among the housemaids in Mizo population using machine learning model.

METHOD: 105 housemaids of both genders have responded the well - structured questionnaire to determine the level of awareness and knowledge about COVID - 19. Logistic regression model was built using the 21 features which are related to awareness and knowledge about COVID - 19.

RESULT: The results revealed COVID - 19 knowledge and awareness accuracy of 92.5 %, precision, recall and f1 - score of 96.1 %, and brier score of 0.074.

CONCLUSION: The study showed the knowledge and awareness among the housemaids are highly associated with wearing appropriate masks while outdoors, social distancing, dos and don’ts during lockdown, and self - update about COVID - 19 awareness information via social and authenticated government medias. There is no significant knowledge gap is observed about the awareness and knowledge about COVID - 19 among the housemaids in Mizo population.

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