Mental health effects of COVID-19 lockdowns: A Twitter-based analysis
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DOI: 10.1016/j.ehb.2023.101307
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Other versions of this item:
- Sara Colella & Frédéric Dufourt & Vincent A Hildebrand & Rémi Vivès, 2022. "Mental health effects of COVID-19 lockdowns: a Twitter-based analysis," Working Papers hal-03740701, HAL.
- Sara Colella & Frédéric Dufourt & Vincent A. Hildebrand & Rémi Vivès, 2022. "Mental health effects of COVID-19 lockdowns: a Twitter-based analysis," AMSE Working Papers 2218, Aix-Marseille School of Economics, France, revised Sep 2023.
- Sara Colella & Frédéric Dufourt & Vincent A Hildebrand & Rémi Vivès, 2023. "Mental health effects of COVID-19 lockdowns: a Twitter-based analysis," Post-Print hal-03740701, HAL.
References listed on IDEAS
- Abi Adams-Prassl & Teodora Boneva & Marta Golin & Christopher Rauh, 2022. "The impact of the coronavirus lockdown on mental health: evidence from the United States," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 37(109), pages 139-155.
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More about this item
Keywords
COVID-19; Lockdown; Mental health; Twitter data; Well-being;All these keywords.
JEL classification:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- I12 - Health, Education, and Welfare - - Health - - - Health Behavior
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
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