Análise da tendência da mortalidade por HIV/AIDS segundo características sociodemográficas no Brasil, 2000 a 2018
AP Cunha, MM Cruz, M Pedroso - Ciência & Saúde Coletiva, 2022 - SciELO Public Health
A investigação analisou a tendência da mortalidade por HIV/Aids segundo características
sociodemográficas nos estados brasileiros entre 2000 e 2018. Estudo ecológico de série …
sociodemográficas nos estados brasileiros entre 2000 e 2018. Estudo ecológico de série …
[HTML][HTML] Análise da tendência da mortalidade por doenças definidoras e não definidoras de HIV/aids segundo características sociodemográficas, por Unidade da …
AP Cunha, MM Cruz - Epidemiologia e Serviços de Saúde, 2022 - SciELO Brasil
Objetivo: Analisar a tendência temporal da taxa mortalidade por doenças definidoras e não
definidoras de HIV/aids no Brasil entre 2000 e 2018. Métodos: Estudo ecológico de série …
definidoras de HIV/aids no Brasil entre 2000 e 2018. Métodos: Estudo ecológico de série …
Analysis of the trend of mortality from HIV/AIDS according to sociodemographic characteristics in Brazil, 2000 to 2018
AP Cunha, MM Cruz, M Pedroso - Ciencia & Saude Coletiva, 2022 - SciELO Brasil
This investigation analyzed the trend of HIV/AIDS mortality by sociodemographic
characteristics in the Brazilian states from 2000 to 2018. This is an ecological study of time …
characteristics in the Brazilian states from 2000 to 2018. This is an ecological study of time …
Risk factors for mortality among HIV/AIDS patients
ZM Kusumaadhi, N Farhanah… - Diponegoro …, 2021 - ejournal2.undip.ac.id
Background: Morbidity and mortality of HIV/AIDS infections is still high and as a global
health problem particularly in Low-Middle Income Countries (LMICs). Indonesia ranks third …
health problem particularly in Low-Middle Income Countries (LMICs). Indonesia ranks third …
[HTML][HTML] Identifying risk factors for progression to AIDS and mortality post-HIV infection using illness-death multistate model
Background There has remained a need to better understanding of prognostic factors that
affect the survival or risk in patients with human immunodeficiency virus (HIV)/acquired …
affect the survival or risk in patients with human immunodeficiency virus (HIV)/acquired …
Analysis of trend in mortality due to HIV/AIDS-defining and non-HIV/AIDS defining illnesses according to sociodemographic characteristics, by Federative Unit and …
AP Cunha, MM Cruz - Epidemiologia e Serviços de Saúde, 2022 - SciELO Brasil
Objective: To analyze the temporal trend of mortality rate due to HIV/AIDS defining and non-
HIV/AIDS defining illnesses in Brazil between 2000 and 2018. Methods: This was an …
HIV/AIDS defining illnesses in Brazil between 2000 and 2018. Methods: This was an …
Application of random survival forest for competing risks in prediction of cumulative incidence function for progression to AIDS
Objective: There has remained a need to better understanding of prognostic factors that
affect the survival or risk in patients with human immunodeficiency virus (HIV)/acquired …
affect the survival or risk in patients with human immunodeficiency virus (HIV)/acquired …
Modeling the trajectory of CD4 cell count and its effect on the risk of AIDS progression and TB infection among HIV-infected patients using a joint model of competing …
Background: This study was conducted to better understand the influence of prognostic
factors and the trend of CD4 cell count on the risk of progression to acquired …
factors and the trend of CD4 cell count on the risk of progression to acquired …
Modelling HIV disease process and progression in seroconversion among South Africa women: using transition-specific parametric multi-state model
Background HIV infected patients may experience many intermediate events including
between-event transition throughout their follow up. Through modelling these transitions, we …
between-event transition throughout their follow up. Through modelling these transitions, we …
Identifying important risk factors for survival of HIV-infected patients using censored quantile regression
Results Mean age of patients was 33.93 years. Time to progression ranged from 0.01 to
223.17 months, and mean of time to progression was 40.55 months. A total of 1,249 (50.5%) …
223.17 months, and mean of time to progression was 40.55 months. A total of 1,249 (50.5%) …