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An Analysis of the Deleterious Impact of the Infodemic during the COVID-19 Pandemic in Brazil: A Case Study Considering Possible Correlations with Socioeconomic Aspects of Brazilian Demography

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  • Maria da Penha de Andrade Abi Harb

    (Institute of Technology, Federal University of Para, Belem 66075-110, Brazil)

  • Lena Veiga e Silva

    (Center for Exact Sciences and Technology, University of Amazon, Belem 66060-902, Brazil)

  • Nandamudi Lankalapalli Vijaykumar

    (National Institute for Space Research, Sao Jose dos Campos 12227-010, Brazil)

  • Marcelino Silva da Silva

    (Institute of Engineering and Geosciences, Federal University of Western Para, Santarem 68040-255, Brazil)

  • Carlos Renato Lisboa Francês

    (Institute of Technology, Federal University of Para, Belem 66075-110, Brazil)

Abstract

Due to COVID-19, a huge amount of incorrect information has been disseminated on the internet, which may interfere with the disease’s advance. This study analyzes the behavior of the Brazilian population during the pandemic, employing queries of infodemic data searched on Google Trends and relating them to socioeconomic and political indicators in the country. The z-score technique was used to standardize the data; and for multivalued analysis, dendrograms and the Elbow method detected similar patterns among Brazilian states. The result was divided into three analyses. In the analysis of the research trend of infodemic terms, the themes “Prevention and Beliefs” and “Treatment” prevailed. In the exploratory analysis, socioeconomic indicators related to income and education, as well as government programs, showed no impact on infodemic searches; but the results suggest that the states that supported the Brazilian president in the 2018 election, where he obtained more than 50% of the votes, were the states that most searched for infodemic terms: a total of 46.58% more infodemic searches than in the other states. In the multivalued analysis, the socioeconomic indicators used showed similarities in the patterns, highlighting a cluster containing 77% of all Brazilian states. The study concludes that denial about the pandemic and the influence of political leadership can influence infodemic information searches, contributing to a disorganization in the control of disease control and prevention measures.

Suggested Citation

  • Maria da Penha de Andrade Abi Harb & Lena Veiga e Silva & Nandamudi Lankalapalli Vijaykumar & Marcelino Silva da Silva & Carlos Renato Lisboa Francês, 2022. "An Analysis of the Deleterious Impact of the Infodemic during the COVID-19 Pandemic in Brazil: A Case Study Considering Possible Correlations with Socioeconomic Aspects of Brazilian Demography," IJERPH, MDPI, vol. 19(6), pages 1-19, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3208-:d:767123
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    References listed on IDEAS

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    1. Dewan, Torun & Myatt, David P., 2008. "The Qualities of Leadership: Direction, Communication, and Obfuscation," American Political Science Review, Cambridge University Press, vol. 102(3), pages 351-368, August.
    2. Pablo Lara-Navarra & Hervé Falciani & Enrique A. Sánchez-Pérez & Antonia Ferrer-Sapena, 2020. "Information Management in Healthcare and Environment: Towards an Automatic System for Fake News Detection," IJERPH, MDPI, vol. 17(3), pages 1-12, February.
    3. Magdalena Sycinska-Dziarnowska & Iwona Paradowska-Stankiewicz, 2020. "Dental Challenges and the Needs of the Population during the Covid-19 Pandemic Period. Real-Time Surveillance Using Google Trends," IJERPH, MDPI, vol. 17(23), pages 1-11, December.
    4. Mostafa Abbas & Thomas B. Morland & Eric S. Hall & Yasser EL-Manzalawy, 2021. "Associations between Google Search Trends for Symptoms and COVID-19 Confirmed and Death Cases in the United States," IJERPH, MDPI, vol. 18(9), pages 1-24, April.
    5. Orkan Okan & Torsten Michael Bollweg & Eva-Maria Berens & Klaus Hurrelmann & Ullrich Bauer & Doris Schaeffer, 2020. "Coronavirus-Related Health Literacy: A Cross-Sectional Study in Adults during the COVID-19 Infodemic in Germany," IJERPH, MDPI, vol. 17(15), pages 1-20, July.
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