https://doi.org/10.1140/epjs/s11734-022-00621-7
Regular Article
An ANFIS model-based approach to investigate the effect of lockdown due to COVID-19 on public health
1
Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, 711103, Howrah, India
2
Department of Physiology, Tamralipta Mahavidyalaya, Tamluk, 721636, Purba Medinipur, West Bengal, India
3
Birnagar Municipality Hospital, Birnagar, 741127, Nadia, West Bengal, India
4
Department of Mathematics, Ramsaday College, Amta, 711401, Howrah, India
Received:
7
September
2021
Accepted:
25
May
2022
Published online:
6
July
2022
During the first and second quarters of the year 2020, most of the countries had implemented complete or partial lockdown policies to slow down the transmission of the COVID-19. To cultivate the effect of lockdown due to COVID-19 on public health, we have collected the data of six primary parameters, namely systolic blood pressure, diastolic blood pressure, fasting blood sugar, insomnia, cholesterol, and respiratory distress of 200 randomly chosen people from a municipality region of West Bengal, India before and after lockdown. With the help of these data and Adaptive Neuro-Fuzzy Inference System (ANFIS), we have formulated a model that has established that lockdown due to COVID-19 has negligible impacts on the individuals with better health condition but has significant effects on the health conditions to those populations who have poor health.
© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2022
