Inefficacious drugs against covid-19 analysis of sales, tweets, and search engines

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorBrito Junior, Irineu de-
Autor(es): dc.creatorSaraiva, Flaviane Azevedo-
Autor(es): dc.creatorBruno, Nathan de Campos-
Autor(es): dc.creatorSilva, Roberto Fray da-
Autor(es): dc.creatorHino, Celso Mitsuo-
Autor(es): dc.creatorYoshizaki, Hugo Tsugunobu Yoshida-
Data de aceite: dc.date.accessioned2025-08-21T21:42:56Z-
Data de disponibilização: dc.date.available2025-08-21T21:42:56Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.11606/s1518-8787.2024058005413-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/298426-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/298426-
Descrição: dc.descriptionOBJECTIVE: Assess the correlation between the sales of two drugs with no proven efficacy against covid-19, ivermectin and chloroquine, and other relevant variables, such as Google (R) searches, number of tweets related to these drugs, number of cases and deaths resulting from covid-19. METHODS: The methodology adopted in this study has four stages: data collection, data processing, exploratory data analysis, and correlation analysis. Spearman's method was used to obtain cross-correlations between each pair of variables. RESULTS: The results show similar behaviors between variables. Peaks occurred in the same or near periods. The exploratory data analysis showed shortage of chloroquine in the period corresponding to the beginning of advertising for the application of these drugs against covid-19. Both drugs showed a high and statistically significant correlation with the other variables. Also, some of them showed a higher correlation with drug sales when we employed a one-month lag. In the case of chloroquine, this was observed for the number of deaths. In the case of ivermectin, this was observed for the number of tweets, cases, and deaths. CONCLUSIONS: The results contribute to decision making in crisis management by governments, industries, and stores. In times of crisis, as observed during the covid-19 pandemic, some variables can help sales forecasting, especially Google (R) and tweets, which provide a realtime analysis of the situation. Monitoring social media platforms and search engines would allow the determination of drug use by the population and better prediction of potential peaks in the demand for these drugs.-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionUniv Estadual Paulista, Dept Engn Ambiental, Inst Ciencia & Tecnol, Sao Jose Dos Campos, SP, Brazil-
Descrição: dc.descriptionUniv Sao Paulo, Escola Politecn, Programa Mestrado Engn Sistemas Logist, Sao Paulo, SP, Brazil-
Descrição: dc.descriptionUniv Sao Paulo, Dept Engn Prod, Escola Politecn, Sao Paulo, SP, Brazil-
Descrição: dc.descriptionUniv Sao Paulo, Inst Estudos Avancados, Sao Paulo, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Rodovia Presidente Dutra Km 1378, BR-12247004 Sao Jose Dos Campos, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Dept Engn Ambiental, Inst Ciencia & Tecnol, Sao Jose Dos Campos, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Rodovia Presidente Dutra Km 1378, BR-12247004 Sao Jose Dos Campos, SP, Brazil-
Descrição: dc.descriptionCNPq: 404803/2021-0-
Descrição: dc.descriptionCNPq: 313687/2019-6-
Formato: dc.format1-11-
Idioma: dc.languageen-
Publicador: dc.publisherRevista De Saude Publica-
Relação: dc.relationRevista De Saude Publica-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectSocial Media-
Palavras-chave: dc.subjectChloroquine-
Palavras-chave: dc.subjectIvermectin-
Palavras-chave: dc.subjectCovid-19-
Palavras-chave: dc.subjectSearch Engine-
Palavras-chave: dc.subjectInfodemic-
Palavras-chave: dc.subjectPandemic-
Palavras-chave: dc.subjectSARS-CoV-2-
Título: dc.titleInefficacious drugs against covid-19 analysis of sales, tweets, and search engines-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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