@Article{HarbSilVijSilFra:2022:CaStCo,
               author = "Harb, Maria da Penha de Andrade Abi and Silva, Lena Veiga e and 
                         Vijaykumar, Nandamudi Lankalapalli and Silva, Marcelino Silva da 
                         and Franc{\^e}s, Carlos Renato Lisboa",
          affiliation = "{Universidade Federal do Par{\'a} (UFPA)} and {Universidade da 
                         Amaz{\^o}nia (UNAMA)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Universidade Federal do Oeste do Par{\'a} 
                         (UFOPA)} and {Universidade Federal do Par{\'a} (UFPA)}",
                title = "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",
              journal = "International Journal of Environmental Research and Public 
                         Health",
                 year = "2022",
               volume = "19",
               number = "6",
                pages = "e3208",
                month = "Mar.",
             keywords = "Clustering, Dendrogram, Denialism, Google Trends, Government 
                         programs, Infodemic COVID-19, Socio-economic variables.",
             abstract = "Due to COVID-19, a huge amount of incorrect information has been 
                         disseminated on the internet, which may interfere with the 
                         diseases 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.",
                  doi = "10.3390/ijerph19063208",
                  url = "http://dx.doi.org/10.3390/ijerph19063208",
                 issn = "1661-7827 and 1660-4601",
             language = "en",
           targetfile = "Harb_2022_analysis.pdf",
        urlaccessdate = "01 jun. 2024"
}