Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Eveliny Barroso da Silva"'
Autor:
Anderson Castro Soares de Oliveira, Lia Hanna Martins Morita, Eveliny Barroso da Silva, Luiz André Ribeiro Zardo, Cor Jesus Fernandes Fontes, Daniele Cristina Tita Granzotto
Publikováno v:
Infectious Disease Modelling, Vol 5, Iss , Pp 699-713 (2020)
The novel of COVID-19 disease started in late 2019 making the worldwide governments came across a high number of critical and death cases, beyond constant fear of the collapse in their health systems. Since the beginning of the pandemic, researchers
Externí odkaz:
https://doaj.org/article/516cc5f734e54afaa84d3ae8c9009691
Autor:
Cristiane Trevisan Viana de Souza, Ana Paula Dorr, Victória Luiza de Barros Silva, Fabiane de Lima Silva, Eveliny Barroso da Silva, Dirceu Guilherme de Souza Ramos, Richard de Campos Pacheco, Valéria Régia Franco Sousa
Publikováno v:
Revista Brasileira de Parasitologia Veterinária, Volume: 32, Issue: 1, Article number: e012422, Published: 13 JAN 2023
Gastrointestinal parasitism by helminths and protozoa poses risks to animal and human health owing to clinical changes and transmission of potentially zoonotic agents. Thus, the present study aimed to verify the occurrence of gastrointestinal parasit
Autor:
Joerko Campos de Deus, Tony José de Souza, Eveliny Barroso da Silva, Moisés Wesley de Macedo Pereira, Aparecida Fátima Camila Reis, Arthur Cardoso Rezende
Publikováno v:
Nursing (São Paulo). 24:6570-6575
Objetivo: Analisar o perfil clínico epidemiológico dos pacientes notificados com suspeita de Covid-19 em um hospital público do Distrito Federal, Brasil. Método: Estudo epidemiológico descritivo, quantitativo, com delineamento transversal, pauta
Autor:
Eveline da Cruz Boa Sorte Ayres, Álvaro Felipe de Lima Ruy Dias, Bruna Ribeiro Gomes Monteiro, Sarah Szimanski Pazzini, Mateus Elias Chagas Barbosa, Eveliny Barroso da Silva, Luis Felipe da Cruz Macedo, Valéria Régia Franco Sousa, Valéria Dutra, Luciano Nakazato, Arleana do Bom Parto Ferreira de Almeida
Publikováno v:
Revista Brasileira de Parasitologia Veterinária, Volume: 31, Issue: 3, Article number: e007222, Published: 01 AUG 2022
Revista Brasileira de Parasitologia Veterinária v.31 n.3 2022
Revista Brasileira de Parasitologia Veterinária
Colégio Brasileiro de Parasitologia Veterinária (CBPV)
instacron:CBPV
Revista Brasileira de Parasitologia Veterinária v.31 n.3 2022
Revista Brasileira de Parasitologia Veterinária
Colégio Brasileiro de Parasitologia Veterinária (CBPV)
instacron:CBPV
Canine visceral leishmaniasis is an endemic zoonosis in Brazil. Dogs are the main hosts in urban environments. The treatment has gained popularity since the Brazilian government authorized miltefosine for canine treatment. The aim of this study was t
Autor:
Cor Jesus Fernandes Fontes, Anderson Castro Soares de Oliveira, Eveliny Barroso da Silva, Lia Hanna Martins Morita, Luiz André Ribeiro Zardo, Daniele Cristina Tita Granzotto
Publikováno v:
Infectious Disease Modelling, Vol 5, Iss, Pp 699-713 (2020)
Infectious Disease Modelling
Infectious Disease Modelling
The novel of COVID-19 disease started in late 2019 making the worldwide governments came across a high number of critical and death cases, beyond constant fear of the collapse in their health systems. Since the beginning of the pandemic, researchers
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
In this article, we propose a beta regression model with multiplicative log-normal measurement errors. Three estimation methods are presented, namely, naive, calibration regression, and pseudo likelihood. The nuisance parameters are estimated from a
Autor:
Eveliny Barroso da Silva
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da UFSCAR
Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da UFSCAR
Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
Não recebi financiamento In regression models in which a covariate is measured with error, it is common to use structures that correlate the observed covariate with the true non-observed covariate. Such structures are usually additive or multiplicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14ece0570e1b5d9a0d57b76f6770c7a1
https://doi.org/10.11606/t.104.2019.tde-21082019-084241
https://doi.org/10.11606/t.104.2019.tde-21082019-084241
Autor:
Rosilene Andrade Silva Rodrigues, Carlos Alexandre Fett, Ariel Arnon De Oliveira Abrahão, Eveliny Barroso da Silva, Elvio Marcos de Andrade Júnior, Juliano Bortolini, Kuang Hongyu
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Journal of Human Sport and Exercise, Vol 15, Iss 1, Pp 217-229 (2020)
Universidad de Alicante (UA)
Journal of Human Sport and Exercise, Vol 15, Iss 1, Pp 217-229 (2020)
The carries out the diagnosis of detection of sports talents of school children with iSports software and laboratory tests. We evaluated: 26 males and 11 females, age (13 to 18 years), lower limb strength and manual, flexibility, waist-hip ratio and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dd2b8428fd57cbe6b4b31e712f8e55b
https://hdl.handle.net/10045/91922
https://hdl.handle.net/10045/91922
Autor:
Paulo H. Ferreira, Ricardo S. Ehlers, Eduardo Ramos, Jhon Franky Bernedo Gonzales, Francisco Louzada, Eveliny Barroso da Silva, Pedro Luiz Ramos, Vera Tomazella
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
In this paper, we propose to make Bayesian inferences for the parameters of the Lomax distribution using non-informative priors, namely the (dependent and independent) Jeffreys prior and the reference prior. We assess Bayesian estimation through a Mo
Autor:
Da Silva, Eveliny Barroso, Diniz, Carlos Alberto Ribeiro, Carrasco, Jalmar Manuel Farfan, De Castro, Mário
Publikováno v:
Communications in Statistics: Simulation & Computation; 2018, Vol. 47 Issue 1, p229-248, 20p