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  1. Article ; Online: Epidemiology of COVID-19 in Brazil: using a mathematical model to estimate the outbreak peak and temporal evolution.

    Tang, Yuanji / Serdan, Tamires D A / Masi, Laureane N / Tang, Sherry / Gorjao, Renata / Hirabara, Sandro M

    Emerging microbes & infections

    2020  Volume 9, Issue 1, Page(s) 1453–1456

    MeSH term(s) Brazil/epidemiology ; COVID-19 ; Coronavirus Infections/epidemiology ; Disease Outbreaks ; Epidemiologic Studies ; Humans ; Models, Statistical ; Pandemics ; Pneumonia, Viral/epidemiology
    Keywords covid19
    Language English
    Publishing date 2020-06-18
    Publishing country United States
    Document type Letter
    ZDB-ID 2681359-2
    ISSN 2222-1751 ; 2222-1751
    ISSN (online) 2222-1751
    ISSN 2222-1751
    DOI 10.1080/22221751.2020.1785337
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: SARS-COV-2 Variants: Differences and Potential of Immune Evasion.

    Hirabara, Sandro M / Serdan, Tamires D A / Gorjao, Renata / Masi, Laureane N / Pithon-Curi, Tania C / Covas, Dimas T / Curi, Rui / Durigon, Edison L

    Frontiers in cellular and infection microbiology

    2022  Volume 11, Page(s) 781429

    Abstract: The structural spike (S) glycoprotein of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) plays an essential role in infection and is an important target for neutralizing antibody recognition. Mutations in ... ...

    Abstract The structural spike (S) glycoprotein of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) plays an essential role in infection and is an important target for neutralizing antibody recognition. Mutations in the
    MeSH term(s) Antibodies, Neutralizing ; Antibodies, Viral ; COVID-19 ; Humans ; Immune Evasion ; Mutation ; Pandemics ; SARS-CoV-2
    Chemical Substances Antibodies, Neutralizing ; Antibodies, Viral
    Language English
    Publishing date 2022-01-18
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2619676-1
    ISSN 2235-2988 ; 2235-2988
    ISSN (online) 2235-2988
    ISSN 2235-2988
    DOI 10.3389/fcimb.2021.781429
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: COVID-19 in Brazil: Historical cases, disease milestones, and estimated outbreak peak.

    Serdan, Tamires D A / Masi, Laureane N / Gorjao, Renata / Pithon-Curi, Tania C / Curi, Rui / Hirabara, Sandro M

    Travel medicine and infectious disease

    2020  Volume 38, Page(s) 101733

    MeSH term(s) Brazil/epidemiology ; COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19/transmission ; Communicable Disease Control/legislation & jurisprudence ; Communicable Disease Control/statistics & numerical data ; Disease Outbreaks/prevention & control ; Disease Outbreaks/statistics & numerical data ; Humans ; Program Evaluation ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-05-12
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 2170891-5
    ISSN 1873-0442 ; 1477-8939
    ISSN (online) 1873-0442
    ISSN 1477-8939
    DOI 10.1016/j.tmaid.2020.101733
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Epidemiology of COVID-19 in Brazil: using a mathematical model to estimate the outbreak peak and temporal evolution

    Tang, Yuanji / Serdan, Tamires D A / Masi, Laureane N / Tang, Sherry / Gorjao, Renata / Hirabara, Sandro M

    Emerg Microbes Infect

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #603756
    Database COVID19

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  5. Article ; Online: Epidemiology of COVID-19 in Brazil

    Tang, Yuanji / Serdan, Tamires D. A. / Masi, Laureane N. / Tang, Sherry / Gorjao, Renata / Hirabara, Sandro M.

    Emerging Microbes & Infections

    using a mathematical model to estimate the outbreak peak and temporal evolution

    2020  Volume 9, Issue 1, Page(s) 1453–1456

    Keywords Immunology ; Epidemiology ; Microbiology ; Drug Discovery ; Parasitology ; Virology ; Infectious Diseases ; General Medicine ; covid19
    Language English
    Publisher Informa UK Limited
    Publishing country uk
    Document type Article ; Online
    ZDB-ID 2681359-2
    ISSN 2222-1751
    ISSN 2222-1751
    DOI 10.1080/22221751.2020.1785337
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: COVID-19 in Brazil: Historical cases, disease milestones, and estimated outbreak peak

    Serdan, Tamires D A / Masi, Laureane N / Gorjao, Renata / Pithon-Curi, Tania C / Curi, Rui / Hirabara, Sandro M

    Travel Med Infect Dis

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #232708
    Database COVID19

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  7. Article ; Online: COVID-19 in Brazil

    Serdan, Tamires D.A. / Masi, Laureane N. / Gorjao, Renata / Pithon-Curi, Tania C. / Curi, Rui / Hirabara, Sandro M.

    Travel Medicine and Infectious Disease

    Historical cases, disease milestones, and estimated outbreak peak

    2020  , Page(s) 101733

    Keywords Public Health, Environmental and Occupational Health ; Infectious Diseases ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2170891-5
    ISSN 1873-0442 ; 1477-8939
    ISSN (online) 1873-0442
    ISSN 1477-8939
    DOI 10.1016/j.tmaid.2020.101733
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6236: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Profiling plasma-extracellular vesicle proteins and microRNAs in diabetes onset in middle-aged male participants in the ELSA-Brasil study.

    Masi, Laureane N / Lotufo, Paulo A / Ferreira, Frederico M / Rodrigues, Alice C / Serdan, Tamires D A / Souza-Siqueira, Talita / Braga, Aécio A / Saldarriaga, Magda E G / Alba-Loureiro, Tatiana C / Borges, Fernanda T / Cury, Diego P / Hirata, Mario H / Gorjão, Renata / Pithon-Curi, Tania C / Lottenberg, Simão A / Fedeli, Ligia M G / Nakaya, Helder T I / Bensenor, Isabela J M / Curi, Rui /
    Hirabara, Sandro M

    Physiological reports

    2021  Volume 9, Issue 3, Page(s) e14731

    Abstract: We measured plasma-derived extracellular vesicle (EV) proteins and their microRNA (miRNA) cargos in normoglycemic (NG), glucose intolerant (GI), and newly diagnosed diabetes mellitus (DM) in middle-aged male participants of the Brazilian Longitudinal ... ...

    Abstract We measured plasma-derived extracellular vesicle (EV) proteins and their microRNA (miRNA) cargos in normoglycemic (NG), glucose intolerant (GI), and newly diagnosed diabetes mellitus (DM) in middle-aged male participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brazil). Mass spectrometry revealed decreased IGHG-1 and increased ITIH2 protein levels in the GI group compared with that in the NG group and higher serotransferrin in EVs in the DM group than in those in the NG and GI groups. The GI group also showed increased serum ferritin levels, as evaluated by biochemical analysis, compared with those in both groups. Seventeen miRNAs were differentially expressed (DEMiRs) in the plasma EVs of the three groups. DM patients showed upregulation of miR-141-3p and downregulation of miR-324-5p and -376c-3p compared with the NG and GI groups. The DM and GI groups showed increased miR-26b-5p expression compared with that in the NG group. The DM group showed decreased miR-374b-5p levels compared with those in the GI group and higher concentrations than those in the NG group. Thus, three EV proteins and five DEMiR cargos have potential prognostic importance for diabetic complications mainly associated with the immune function and iron status of GI and DM patients.
    MeSH term(s) Adult ; Age Factors ; Aged ; Blood Glucose/analysis ; Blood Proteins/analysis ; Brazil/epidemiology ; Diabetes Mellitus/blood ; Diabetes Mellitus/diagnosis ; Diabetes Mellitus/epidemiology ; Diabetes Mellitus/genetics ; Extracellular Vesicles/genetics ; Extracellular Vesicles/metabolism ; Gene Expression Profiling ; Humans ; Incidence ; Male ; MicroRNAs/genetics ; Middle Aged ; Proteome ; Proteomics ; Risk Assessment ; Risk Factors ; Sex Factors ; Transcriptome
    Chemical Substances Blood Glucose ; Blood Proteins ; MicroRNAs ; Proteome
    Language English
    Publishing date 2021-02-15
    Publishing country United States
    Document type Comparative Study ; Journal Article ; Multicenter Study ; Research Support, Non-U.S. Gov't
    ZDB-ID 2724325-4
    ISSN 2051-817X ; 2051-817X
    ISSN (online) 2051-817X
    ISSN 2051-817X
    DOI 10.14814/phy2.14731
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A simple mathematical model for the evaluation of the long first wave of the COVID-19 pandemic in Brazil.

    Tang, Yuanji / Serdan, Tamires D A / Alecrim, Amanda L / Souza, Diego R / Nacano, Bruno R M / Silva, Flaviano L R / Silva, Eliane B / Poma, Sarah O / Gennari-Felipe, Matheus / Iser-Bem, Patrícia N / Masi, Laureane N / Tang, Sherry / Levada-Pires, Adriana C / Hatanaka, Elaine / Cury-Boaventura, Maria F / Borges, Fernanda T / Pithon-Curi, Tania C / Curpertino, Marli C / Fiamoncini, Jarlei /
    Leandro, Carol Gois / Gorjao, Renata / Curi, Rui / Hirabara, Sandro Massao

    Scientific reports

    2021  Volume 11, Issue 1, Page(s) 16400

    Abstract: We propose herein a mathematical model to predict the COVID-19 evolution and evaluate the impact of governmental decisions on this evolution, attempting to explain the long duration of the pandemic in the 26 Brazilian states and their capitals well as in ...

    Abstract We propose herein a mathematical model to predict the COVID-19 evolution and evaluate the impact of governmental decisions on this evolution, attempting to explain the long duration of the pandemic in the 26 Brazilian states and their capitals well as in the Federative Unit. The prediction was performed based on the growth rate of new cases in a stable period, and the graphics plotted with the significant governmental decisions to evaluate the impact on the epidemic curve in each Brazilian state and city. Analysis of the predicted new cases was correlated with the total number of hospitalizations and deaths related to COVID-19. Because Brazil is a vast country, with high heterogeneity and complexity of the regional/local characteristics and governmental authorities among Brazilian states and cities, we individually predicted the epidemic curve based on a specific stable period with reduced or minimal interference on the growth rate of new cases. We found good accuracy, mainly in a short period (weeks). The most critical governmental decisions had a significant temporal impact on pandemic curve growth. A good relationship was found between the predicted number of new cases and the total number of inpatients and deaths related to COVID-19. In summary, we demonstrated that interventional and preventive measures directly and significantly impact the COVID-19 pandemic using a simple mathematical model. This model can easily be applied, helping, and directing health and governmental authorities to make further decisions to combat the pandemic.
    MeSH term(s) Brazil/epidemiology ; COVID-19/epidemiology ; COVID-19/transmission ; Cities/epidemiology ; Humans ; Models, Statistical ; Pandemics ; SARS-CoV-2/isolation & purification ; Time Factors
    Language English
    Publishing date 2021-08-12
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-021-95815-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: A simple mathematical model for the evaluation of the long first wave of the COVID-19 pandemic in Brazil

    Yuanji Tang / Tamires D. A. Serdan / Amanda L. Alecrim / Diego R. Souza / Bruno R. M. Nacano / Flaviano L. R. Silva / Eliane B. Silva / Sarah O. Poma / Matheus Gennari-Felipe / Patrícia N. Iser-Bem / Laureane N. Masi / Sherry Tang / Adriana C. Levada-Pires / Elaine Hatanaka / Maria F. Cury-Boaventura / Fernanda T. Borges / Tania C. Pithon-Curi / Marli C. Curpertino / Jarlei Fiamoncini /
    Carol Gois Leandro / Renata Gorjao / Rui Curi / Sandro Massao Hirabara

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    2021  Volume 11

    Abstract: Abstract We propose herein a mathematical model to predict the COVID-19 evolution and evaluate the impact of governmental decisions on this evolution, attempting to explain the long duration of the pandemic in the 26 Brazilian states and their capitals ... ...

    Abstract Abstract We propose herein a mathematical model to predict the COVID-19 evolution and evaluate the impact of governmental decisions on this evolution, attempting to explain the long duration of the pandemic in the 26 Brazilian states and their capitals well as in the Federative Unit. The prediction was performed based on the growth rate of new cases in a stable period, and the graphics plotted with the significant governmental decisions to evaluate the impact on the epidemic curve in each Brazilian state and city. Analysis of the predicted new cases was correlated with the total number of hospitalizations and deaths related to COVID-19. Because Brazil is a vast country, with high heterogeneity and complexity of the regional/local characteristics and governmental authorities among Brazilian states and cities, we individually predicted the epidemic curve based on a specific stable period with reduced or minimal interference on the growth rate of new cases. We found good accuracy, mainly in a short period (weeks). The most critical governmental decisions had a significant temporal impact on pandemic curve growth. A good relationship was found between the predicted number of new cases and the total number of inpatients and deaths related to COVID-19. In summary, we demonstrated that interventional and preventive measures directly and significantly impact the COVID-19 pandemic using a simple mathematical model. This model can easily be applied, helping, and directing health and governmental authorities to make further decisions to combat the pandemic.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2021-08-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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