An ANFIS model-based approach to investigate the effect of lockdown due to COVID-19 on public health

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...

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Autores principales: Adak, Sayani, Majumder, Rabindranath, Majee, Suvankar, Jana, Soovoojeet, Kar, T. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258467/
https://www.ncbi.nlm.nih.gov/pubmed/35818512
http://dx.doi.org/10.1140/epjs/s11734-022-00621-7
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author Adak, Sayani
Majumder, Rabindranath
Majee, Suvankar
Jana, Soovoojeet
Kar, T. K.
author_facet Adak, Sayani
Majumder, Rabindranath
Majee, Suvankar
Jana, Soovoojeet
Kar, T. K.
author_sort Adak, Sayani
collection PubMed
description 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.
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spelling pubmed-92584672022-07-07 An ANFIS model-based approach to investigate the effect of lockdown due to COVID-19 on public health Adak, Sayani Majumder, Rabindranath Majee, Suvankar Jana, Soovoojeet Kar, T. K. Eur Phys J Spec Top Regular Article 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. Springer Berlin Heidelberg 2022-07-06 2022 /pmc/articles/PMC9258467/ /pubmed/35818512 http://dx.doi.org/10.1140/epjs/s11734-022-00621-7 Text en © The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Regular Article
Adak, Sayani
Majumder, Rabindranath
Majee, Suvankar
Jana, Soovoojeet
Kar, T. K.
An ANFIS model-based approach to investigate the effect of lockdown due to COVID-19 on public health
title An ANFIS model-based approach to investigate the effect of lockdown due to COVID-19 on public health
title_full An ANFIS model-based approach to investigate the effect of lockdown due to COVID-19 on public health
title_fullStr An ANFIS model-based approach to investigate the effect of lockdown due to COVID-19 on public health
title_full_unstemmed An ANFIS model-based approach to investigate the effect of lockdown due to COVID-19 on public health
title_short An ANFIS model-based approach to investigate the effect of lockdown due to COVID-19 on public health
title_sort anfis model-based approach to investigate the effect of lockdown due to covid-19 on public health
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258467/
https://www.ncbi.nlm.nih.gov/pubmed/35818512
http://dx.doi.org/10.1140/epjs/s11734-022-00621-7
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