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What can we learn from Covid-19 pandemic’s impact on human behaviour? The case of France’s lockdown

Author

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  • Cyril Atkinson-Clement

    (Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, AP-HP, Hôpital de la Pitié Salpêtrière (DMU 6))

  • Eléonore Pigalle

    (Gustave Eiffel – ENPC)

Abstract

Year 2020 will mark History, with the emergence of the new Covid-19 virus, and more importantly, the consequent political decisions to apply freedom restriction at such a large-scale. Identifying the human behaviours during this extraordinary period represents a unique opportunity to both improve our fundamental knowledge and to improve future management of similar issues. Throughout almost all the duration of the French lockdown (from March 24, 2020 to May 10, 2020), we carried out an online survey on more than 12,000 individuals well distributed over the country. This online survey was performed by using both LimeSurvey and Google Forms services and was addressed to adults living in France. Statistical analyses combined classical inferential approach, mapping, clustering and text mining. The results showed that a significant part of the population moved out just before the lockdown (around 10% of our sample) and we highlighted three different profiles of participants. The results emphasised that the lockdown measures compliance was lower in two cases: (i) an unfavourable living environment (referring to social and economic inequity) associated with a high feeling of fear and a lack of trust towards Governmental measures; or (ii) the feeling that the risk was low due to the fact that others complied with the measures. In case a similar situation should occur again, it is recommended that Governments broadcast clear speeches to improve trust, limit fear and increase cooperative behaviours.

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  • Cyril Atkinson-Clement & Eléonore Pigalle, 2021. "What can we learn from Covid-19 pandemic’s impact on human behaviour? The case of France’s lockdown," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-12, December.
    • Handle: RePEc:pal:palcom:v:8:y:2021:i:1:d:10.1057_s41599-021-00749-2
    DOI: 10.1057/s41599-021-00749-2
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    Cited by:

    1. Denise R. Dunlap & Roberto S. Santos & Craig M. Lilly & Sean Teebagy & Nathaniel S. Hafer & Bryan O. Buchholz & David D. McManus, 2022. "COVID-19: a gray swan’s impact on the adoption of novel medical technologies," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
    2. Akira Watanabe & Hiroyuki Matsuda, 2023. "Effectiveness of feedback control and the trade-off between death by COVID-19 and costs of countermeasures," Health Care Management Science, Springer, vol. 26(1), pages 46-61, March.
    3. Munirul H. Nabin & Mohammad Tarequl Hasan Chowdhury & Sukanto Bhattacharya, 2021. "It matters to be in good hands: the relationship between good governance and pandemic spread inferred from cross-country COVID-19 data," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
    4. Baining Zhao & Xuzhe Wang & Tianyu Zhang & Rongye Shi & Fengli Xu & Fanhang Man & Erbing Chen & Yang Li & Yong Li & Tao Sun & Xinlei Chen, 2024. "Estimating and modeling spontaneous mobility changes during the COVID-19 pandemic without stay-at-home orders," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    5. Mingyue Zhao & Yuqing Niu & Lei Tian & Yizhi Liu & Qiang Zhai, 2021. "Impact Measurement of COVID-19 Lockdown on China’s Electricity-Carbon Nexus," IJERPH, MDPI, vol. 18(18), pages 1-16, September.
    6. Virginia Romano & Mirko Ancillotti & Deborah Mascalzoni & Roberta Biasiotto, 2022. "Italians locked down: people’s responses to early COVID-19 pandemic public health measures," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.

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