Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Marcos R. Gonzaga"'
Autor:
Marcos R. Gonzaga, Bernardo L. Queiroz, Flávio H.M.A. Freire, José H.C. Monteiro-da-Silva, Everton E.C. Lima, Walter P. Silva-Júnior, Victor H. D. Diógenes, Renzo Flores-Ortiz, Lilia C. C. da Costa, Elzo P. Pinto-Junior, Maria Yury Ichihara, Camila S. S. Teixeira, Flávia J. O. Alves, Aline S. Rocha, Andrêa J. F. Ferreira, Maurício L. Barreto, Srinivasa Vittal Katikireddi, Ruth Dundas, Alastair H. Leyland
Publikováno v:
Population Health Metrics, Vol 22, Iss 1, Pp 1-17 (2024)
Abstract Background Mortality rate estimation in small areas can be difficult due the low number of events/exposure (i.e. stochastic error). If the death records are not completed, it adds a systematic uncertainty on the mortality estimates. Previous
Externí odkaz:
https://doaj.org/article/e26611e29fd347428f4f2f319dbec005
Autor:
Everton E. C. Lima, Estevão A. Vilela, Andrés Peralta, Marília Rocha, Bernardo L. Queiroz, Marcos R. Gonzaga, Mario Piscoya-Díaz, Kevin Martinez-Folgar, Víctor M. García-Guerrero, Flávio H. M. A. Freire
Publikováno v:
Genus, Vol 77, Iss 1, Pp 1-20 (2021)
Abstract In this paper, we measure the effect of the 2020 COVID-19 pandemic wave at the national and subnational levels in selected Latin American countries that were most affected: Brazil, Chile, Ecuador, Guatemala, Mexico, and Peru. We used publicl
Externí odkaz:
https://doaj.org/article/1d7540623e7e4a40ac0fbcf43afca3de
Publikováno v:
Genus, Vol 76, Iss 1, Pp 1-22 (2020)
Abstract To determine the variations and spatial patterns of adult mortality across regions, over time, and by sex for 137 small areas in Brazil, we first apply TOPALS to estimate and smooth mortality rates and then use death distribution methods to
Externí odkaz:
https://doaj.org/article/4f9c76bf235e49f19527f3ddb8cade86
Autor:
Bernardo L Queiroz, Marcos R. Gonzaga, Ana M. N. Vasconcelos, Bruno T. Lopes, Daisy M. X. Abreu
Publikováno v:
Population Health Metrics, Vol 18, Iss S1, Pp 1-15 (2020)
Abstract Background Estimates of completeness of death registration are crucial to produce estimates of life tables and population projections and to estimate the burden of disease. They are an important step in assessing the quality of data. In the
Externí odkaz:
https://doaj.org/article/c844e0e0b91941d99114ee394b4d6da4