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  1. Article ; Online: Conservation in the Amazon rainforest and Google searches: A DCCA approach.

    Pereira, Eder J A L / Ferreira, Paulo / da Cunha Lima, Ivan C / Murari, Thiago B / Moret, Marcelo A / Pereira, Hernane B de B

    PloS one

    2022  Volume 17, Issue 10, Page(s) e0276675

    Abstract: In this paper we analyze the descriptive statistics of the Google search volume for the terms related to the National Reserve of Copper and Associates (RENCA), a Brazilian mineral reserve in the Amazon of 4.6 million hectares, before and after the ... ...

    Abstract In this paper we analyze the descriptive statistics of the Google search volume for the terms related to the National Reserve of Copper and Associates (RENCA), a Brazilian mineral reserve in the Amazon of 4.6 million hectares, before and after the government signed the decree releasing it for exploration. First, we analyze the volume of searches for expressions related to RENCA in Google Trends using descriptive statistics; second, we assess the cross-correlation coefficient ρDCCA, which measures the cross-correlation between two nonstationary time series across different time scales. After the government announced the release of the RENCA reserve, there was an increase in the average volume of Google searches for related terms, showing people's concern about the announcement. By using the cross-correlation coefficient ρDCCA, we identify strong cross-correlations between the different expressions related to RENCA in Google Trends. Our work shows the utility of Google Trends as an indicator of the perception of environmental policies. Additionally, we show that ρDCCA can be used as a tool to measure the cross-correlation between synonyms extracted from Google Trends for various time scales.
    MeSH term(s) Humans ; Search Engine ; Rainforest ; Copper ; Brazil ; Internet
    Chemical Substances Copper (789U1901C5)
    Language English
    Publishing date 2022-10-26
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0276675
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Retrospective Cohort Study of COVID-19 in Patients of the Brazilian Public Health System with SARS-CoV-2 Omicron Variant Infection.

    Murari, Thiago B / Fonseca, Larissa Moraes Dos Santos / Pereira, Hernane B de B / Nascimento Filho, Aloísio S / Saba, Hugo / Scorza, Fulvio A / G de Almeida, Antônio-Carlos / Maciel, Ethel L N / Mendes, José F F / Rocha Filho, Tarcísio M / David, John R / Badaró, Roberto / Machado, Bruna Aparecida Souza / Moret, Marcelo A

    Vaccines

    2022  Volume 10, Issue 9

    Abstract: Several vaccines against COVID-19 are now available, based on different techniques and made by different laboratories spread around the world. With the roll out of the vaccination process in an advanced stage in many countries, the reduced risk of ... ...

    Abstract Several vaccines against COVID-19 are now available, based on different techniques and made by different laboratories spread around the world. With the roll out of the vaccination process in an advanced stage in many countries, the reduced risk of hospitalization due to the Omicron variant relative to the Delta variant infection, despite the higher transmission risk of Omicron, may lead to a misinterpretation of the results, as infection by Omicron is associated with a significant reduction in severe outcomes and shorter hospitalization time than the Delta variant. We compared the in-hospital mortality due to the Omicron (Jan-Mar 2022) with Gamma (Jan 2021) and Delta (Oct-Dec 2021) variants of patients in the Brazilian public health system. This study also discusses the decrease in booster vaccine effectiveness in patients hospitalized due to the Omicron variant compared with the Delta variant. Without a remodeling of vaccines for new variants, booster doses may be necessary with a shorter time interval.
    Language English
    Publishing date 2022-09-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2703319-3
    ISSN 2076-393X
    ISSN 2076-393X
    DOI 10.3390/vaccines10091504
    Database MEDical Literature Analysis and Retrieval System OnLINE

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