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Social media effectiveness as a humanitarian response to mitigate influenza epidemic and COVID-19 pandemic

Author

Listed:
  • Sameer Kumar

    (University of St. Thomas)

  • Chong Xu

    (University of St. Thomas)

  • Nidhi Ghildayal

    (Harvard University - T.H. Chan School of Public Health)

  • Charu Chandra

    (University of Michigan – Dearborn)

  • Muer Yang

    (University of St. Thomas)

Abstract

Influenza and COVID-19 are infectious diseases with significant burdens. Information and awareness on preventative techniques can be spread through the use of social media, which has become an increasingly utilized tool in recent years. This study developed a dynamic transmission model to investigate the impact of social media, particularly tweets via the social networking platform, Twitter on the number of influenza and COVID-19 cases of infection and deaths. We modified the traditional Susceptible-Exposed-Infectious-Recovered (SEIR-V) model with an additional social media component, in order to increase the accuracy of transmission dynamics and gain insight on whether social media is a beneficial behavioral intervention for these infectious diseases. The analysis found that social media has a positive effect in mitigating the spread of contagious disease in terms of peak time, peak magnitude, total infected, and total death; and the results also showed that social media’s effect has a non-linear relationship with the reproduction number $${R}_{0}$$ R 0 and it will be amplified when a vaccine is available. The findings indicate that social media is an integral part in the humanitarian logistics of pandemic and emergency preparedness, and contributes to the literature by informing best practices in the response to similar disasters.

Suggested Citation

  • Sameer Kumar & Chong Xu & Nidhi Ghildayal & Charu Chandra & Muer Yang, 2022. "Social media effectiveness as a humanitarian response to mitigate influenza epidemic and COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 823-851, December.
    • Handle: RePEc:spr:annopr:v:319:y:2022:i:1:d:10.1007_s10479-021-03955-y
    DOI: 10.1007/s10479-021-03955-y
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    References listed on IDEAS

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    1. Courtney D. Corley & Diane J. Cook & Armin R. Mikler & Karan P. Singh, 2010. "Text and Structural Data Mining of Influenza Mentions in Web and Social Media," IJERPH, MDPI, vol. 7(2), pages 1-20, February.
    2. Chris Allen & Ming-Hsiang Tsou & Anoshe Aslam & Anna Nagel & Jean-Mark Gawron, 2016. "Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-10, July.
    3. Sebastian Funk & Gwenan M. Knight & Vincent A. A. Jansen, 2014. "Ebola: the power of behaviour change," Nature, Nature, vol. 515(7528), pages 492-492, November.
    4. Azrah Anparasan & Miguel Lejeune, 2019. "Resource deployment and donation allocation for epidemic outbreaks," Annals of Operations Research, Springer, vol. 283(1), pages 9-32, December.
    5. Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
    6. Jyoti Prakash Singh & Yogesh K. Dwivedi & Nripendra P. Rana & Abhinav Kumar & Kawaljeet Kaur Kapoor, 2019. "Event classification and location prediction from tweets during disasters," Annals of Operations Research, Springer, vol. 283(1), pages 737-757, December.
    7. Rameshwar Dubey & Angappa Gunasekaran & Thanos Papadopoulos, 2019. "Disaster relief operations: past, present and future," Annals of Operations Research, Springer, vol. 283(1), pages 1-8, December.
    8. Scott DuHadway & Steven Carnovale & Benjamin Hazen, 2019. "Understanding risk management for intentional supply chain disruptions: risk detection, risk mitigation, and risk recovery," Annals of Operations Research, Springer, vol. 283(1), pages 179-198, December.
    9. Nishikant Mishra & Akshit Singh, 2018. "Use of twitter data for waste minimisation in beef supply chain," Annals of Operations Research, Springer, vol. 270(1), pages 337-359, November.
    10. Shannon M. Fast & Louis Kim & Emily L. Cohn & Sumiko R. Mekaru & John S. Brownstein & Natasha Markuzon, 2018. "Predicting social response to infectious disease outbreaks from internet-based news streams," Annals of Operations Research, Springer, vol. 263(1), pages 551-564, April.
    11. Samuel Fosso Wamba & Andrew Edwards & Shahriar Akter, 2019. "Social media adoption and use for improved emergency services operations: the case of the NSW SES," Annals of Operations Research, Springer, vol. 283(1), pages 225-245, December.
    12. Rameshwar Dubey & Nezih Altay & Constantin Blome, 2019. "Swift trust and commitment: The missing links for humanitarian supply chain coordination?," Annals of Operations Research, Springer, vol. 283(1), pages 159-177, December.
    13. Daniel A. Griffith & Bradley Boehmke & Randy V. Bradley & Benjamin T. Hazen & Alan W. Johnson, 2019. "Embedded analytics: improving decision support for humanitarian logistics operations," Annals of Operations Research, Springer, vol. 283(1), pages 247-265, December.
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