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Stuck in the past or living in the present? Temporal focus and the spread of COVID-19

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  • Barnes, Stuart J.

Abstract

Research has shown that the temporal focus of individuals can have a real effect on behavior. In the context of the COVID-19 pandemic, this study posits that temporal focus will affect adherence behavior regarding health control measures, such as social distancing, hand washing and mask wearing, which will be manifested through the degree of spread of COVID-19. It is suggested that social media can provide an indicator of the general temporal focus of the population at a particular time. In this study, we examine the temporal focus of Twitter text data and the number of COVID-19 cases in the US over a 317-day period from the inception of the pandemic, using text analytics to classify the temporal content of 0.76 million tweets. The data is then analyzed using dynamic regression via advanced ARIMA modelling, differencing the data, removing weekly seasonality and creating a stationary time series. The result of the dynamic regression finds that past orientation does indeed have an effect on the growth of COVID-19 cases in the US. However, a present focus tends to reduce the spread of COVID cases. Future focus had no effect in the model. Overall, the research suggests that detecting and managing temporal focus could be an important tool in managing public health during a pandemic.

Suggested Citation

  • Barnes, Stuart J., 2021. "Stuck in the past or living in the present? Temporal focus and the spread of COVID-19," Social Science & Medicine, Elsevier, vol. 280(C).
  • Handle: RePEc:eee:socmed:v:280:y:2021:i:c:s0277953621003890
    DOI: 10.1016/j.socscimed.2021.114057
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    References listed on IDEAS

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    1. Maciej Stolarski & Gerald Matthews & Sławomir Postek & Philip Zimbardo & Joanna Bitner, 2014. "How We Feel is a Matter of Time: Relationships Between Time Perspectives and Mood," Journal of Happiness Studies, Springer, vol. 15(4), pages 809-827, August.
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. Shipp, Abbie J. & Edwards, Jeffrey R. & Lambert, Lisa Schurer, 2009. "Conceptualization and measurement of temporal focus: The subjective experience of the past, present, and future," Organizational Behavior and Human Decision Processes, Elsevier, vol. 110(1), pages 1-22, September.
    4. Hyndman, Rob J. & Khandakar, Yeasmin, 2008. "Automatic Time Series Forecasting: The forecast Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
    5. Sobol, Małgorzata & Blachnio, Agata & Przepiórka, Aneta, 2020. "Time of pandemic: Temporal perspectives related to compliance with public health regulations concerning the COVID-19 pandemic," Social Science & Medicine, Elsevier, vol. 265(C).
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    Cited by:

    1. Staupe-Delgado, Reidar & Rubin, Olivier, 2022. "Living through and with the global HIV/AIDS pandemic: Distinct ‘pandemic practices’ and temporalities," Social Science & Medicine, Elsevier, vol. 296(C).

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