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The early weeks of the Italian Covid-19 outbreak: sentiment insights from a Twitter analysis

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  • De Rosis, Sabina
  • Lopreite, Milena
  • Puliga, Michelangelo
  • Vainieri, Milena

Abstract

•A novel approach to analyse population reaction to COVID-19 was presented.•Positive and negative outbreak in Italy have been measured from tweets•The higher the number of cases the higher interest rate on coronavirus.•The negative outbreak overcomes the positive one but tends to diminish over time•Differences among Regions in terms of interest smoothened after the national lockdown.

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  • De Rosis, Sabina & Lopreite, Milena & Puliga, Michelangelo & Vainieri, Milena, 2021. "The early weeks of the Italian Covid-19 outbreak: sentiment insights from a Twitter analysis," Health Policy, Elsevier, vol. 125(8), pages 987-994.
    • Handle: RePEc:eee:hepoli:v:125:y:2021:i:8:p:987-994
    DOI: 10.1016/j.healthpol.2021.06.006
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    References listed on IDEAS

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    Cited by:

    1. Fazio, Andrea & Reggiani, Tommaso & Sabatini, Fabio, 2022. "The political cost of sanctions: Evidence from COVID-19," Health Policy, Elsevier, vol. 126(9), pages 872-878.
    2. Özçelik, Ece A & Doucet, Cédric & Kang, Hyunjin & Levy, Noémie & Feldhaus, Isabelle & Hashiguchi, Tiago Cravo Oliveira & Lerouge, Aliénor & Cecchini, Michele, 2022. "A comparative assessment of action plans on antimicrobial resistance from OECD and G20 countries using natural language processing," Health Policy, Elsevier, vol. 126(6), pages 522-533.
    3. Gianpaolo Zammarchi & Francesco Mola & Claudio Conversano, 2023. "Using sentiment analysis to evaluate the impact of the COVID-19 outbreak on Italy’s country reputation and stock market performance," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 1001-1022, September.
    4. De Rosis, Sabina & Lopreite, Milena & Puliga, Michelangelo & Vainieri, Milena, 2023. "Analyzing the emotional impact of COVID-19 with Twitter data: Lessons from a B-VAR analysis on Italy," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    5. Daniyal Alghazzawi & Atika Qazi & Javaria Qazi & Khulla Naseer & Muhammad Zeeshan & Mohamed Elhag Mohamed Abo & Najmul Hasan & Shiza Qazi & Kiran Naz & Samrat Kumar Dey & Shuiqing Yang, 2021. "Prediction of the Infectious Outbreak COVID-19 and Prevalence of Anxiety: Global Evidence," Sustainability, MDPI, vol. 13(20), pages 1-16, October.
    6. Girardi, Alessandro & Ventura, Marco, 2023. "The cost of waiting and the death toll in Italy during the first wave of the covid-19 pandemic," Health Policy, Elsevier, vol. 134(C).
    7. Pirrotta, L. & Guidotti, E. & Tramontani, C. & Bignardelli, E. & Venturi, G. & De Rosis, S., 2022. "COVID-19 vaccinations: An overview of the Italian national health system's online communication from a citizen perspective," Health Policy, Elsevier, vol. 126(10), pages 970-979.

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