Developing a mental health index using a machine learning approach: Assessing the impact of mobility and lockdown during the COVID-19 pandemic

Nanath, Krishnadas; Balasubramanian, S.; Shukla, Vinaya; Islam, Nazrul; Kaitheri, Supriya

doi:10.1016/j.techfore.2022.121560

Cited by 32 publications

(22 citation statements)

References 102 publications

(133 reference statements)

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“…First, our findings advance the emerging research on the psychosocial implications of global pandemics (e.g. Islam, Mäntymäki et al, 2022 ; Nanath et al, 2022 ; Khan, 2021 ; Laato et al, 2020 ; Rai, 2020 ) as well as the research on the psychosocial implications of social media ( Tandon, Kaur et al, 2020 ; Tandon, Dhir, Talwar, Kaur & Mäntymäki, 2021 ; Tandon, Dhir & Mäntymäki, 2021 ; Tandon, Dhir, Almugren et al, 2021 ; Tandon, Dhir, Talwar, Kaur & Mäntymäki, 2022 ; Mäntymäki & Islam 2016 ; Islam, Mäntymäki & Benbasat, 2019 ) In particular, we contribute to research regarding the role of psychological detachment ( Sonnentag & Bayer, 2005 ; Sonnentag & Fritz, 2015 ) in coping with stressors. To this end, we extend the application of psychological detachment to the IT domain.…”

Section: Discussionsupporting

confidence: 57%

Coping with pandemics using social network sites: A psychological detachment perspective to COVID-19 stressors

Mäntymäki

Islam

Turel

et al. 2022

Technological Forecasting and Social Change

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Section: Discussionsupporting

confidence: 57%

Coping with pandemics using social network sites: A psychological detachment perspective to COVID-19 stressors

Mäntymäki

Islam

Turel

et al. 2022

Technological Forecasting and Social Change

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“…The evaluated scores offer a way for theoretical and empirical social media-based mental health investigations [ 55 ]. Utilizing this work can help specialists to find people who needs awareness regarding the issue which will increase the standards and quality of life on the planet [ 56 ].…”

Section: Discussionmentioning

confidence: 99%

Mental health issues assessment using tools during COVID-19 pandemic

Rao

Gupta

Agarwal

et al. 2022

Innovations Syst Softw Eng

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COVID-19 has brought distress among people as pandemic has impacted the globe not only economically or physically, but also psychologically by degrading their mental health. Several research were done in the past which tried to capture these issues but post-covid situation needs to be critically handled and analyzed so that corrective measures for cure and support can be taken. The current work is an attempt to observe the mental health issues (anxiety and depression) that occurred during the lockdown by combining a few pre-designed questionnaires. The online survey included 244 respondents (females = 126, males = 118) and when we thoroughly examined gender, age group, and occupational activity as three main factors, the results showed that female students aged 21–35 were affected more than male students of the same age group. In this study, we used a 4-item Geriatric Depression Scale (GDS-4) as a depression screening instrument and discovered that 225 out of total respondents were depressed. Using the Generalized Anxiety Disorder (GAD-7), a self-administered anxiety tool, we found 103 responders with mild, 87 with moderate, 12 with severe, and 42 with no anxiety symptoms. Patient Health Questionnaire (PHQ-9) showed the symptoms of mental disorders where 68 individuals had mild, 85 had moderate, 37 had moderately severe, 12 had severe, and 42 had no symptoms. With the help of multiple linear regression analysis, demographic data were evaluated, and later results were compared between GDS-4, GAD-7, and PHQ-9 using correlation coefficients. This will help practitioners and individuals to focus on their physiological health and adopt diagnostic measures.

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“…As early as November 2020, the World Bank estimated that the COVID-19 crisis would push 88–115 million people into extreme poverty ( 24 ), and a sharp increase in food insecurity worldwide led to hundreds of millions of additional people at risk of starving and food-insecurity ( 25 – 28 ). These macro-economic consequences can worsen mental health issues ( 29 , 30 ) even cause fragmentation of society ( 31 ). Long-term negative economic and health consequences are exacerbated by increasing inequalities ( 32 ).…”

Section: Introductionmentioning

confidence: 99%

Aggressive measures, rising inequalities, and mass formation during the COVID-19 crisis: An overview and proposed way forward

Schippers

Ioannidis

Joffe

2022

Front. Public Health

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A series of aggressive restrictive measures were adopted around the world in 2020–2022 to attempt to prevent SARS-CoV-2 from spreading. However, it has become increasingly clear the most aggressive (lockdown) response strategies may involve negative side-effects such as a steep increase in poverty, hunger, and inequalities. Several economic, educational, and health repercussions have fallen disproportionately on children, students, young workers, and especially on groups with pre-existing inequalities such as low-income families, ethnic minorities, and women. This has led to a vicious cycle of rising inequalities and health issues. For example, educational and financial security decreased along with rising unemployment and loss of life purpose. Domestic violence surged due to dysfunctional families being forced to spend more time with each other. In the current narrative and scoping review, we describe macro-dynamics that are taking place because of aggressive public health policies and psychological tactics to influence public behavior, such as mass formation and crowd behavior. Coupled with the effect of inequalities, we describe how these factors can interact toward aggravating ripple effects. In light of evidence regarding the health, economic and social costs, that likely far outweigh potential benefits, the authors suggest that, first, where applicable, aggressive lockdown policies should be reversed and their re-adoption in the future should be avoided. If measures are needed, these should be non-disruptive. Second, it is important to assess dispassionately the damage done by aggressive measures and offer ways to alleviate the burden and long-term effects. Third, the structures in place that have led to counterproductive policies should be assessed and ways should be sought to optimize decision-making, such as counteracting groupthink and increasing the level of reflexivity. Finally, a package of scalable positive psychology interventions is suggested to counteract the damage done and improve humanity's prospects.

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Developing a mental health index using a machine learning approach: Assessing the impact of mobility and lockdown during the COVID-19 pandemic

Cited by 32 publications

References 102 publications

Coping with pandemics using social network sites: A psychological detachment perspective to COVID-19 stressors

Coping with pandemics using social network sites: A psychological detachment perspective to COVID-19 stressors

Mental health issues assessment using tools during COVID-19 pandemic

Aggressive measures, rising inequalities, and mass formation during the COVID-19 crisis: An overview and proposed way forward

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