Author | Mir, Daiana | |
Author | Gräf, Tiago | |
Author | Almeida, Sabrina Esteves de Matos | |
Author | Pinto, Aguinaldo Roberto | |
Author | Delatorre, Edson | |
Author | Bello, Gonzalo | |
Access date | 2018-10-04T12:18:34Z | |
Available date | 2018-10-04T12:18:34Z | |
Document date | 2018 | |
Citation | MIR, Daiana et al. Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches. Scientific Reports, v. 8, n. 8778, p. 1-10, 8 June 2018. | |
ISSN | 2045-2322 | |
URI | https://www.arca.fiocruz.br/handle/icict/29323 | |
Description | Produção científica do Laboratório de Aids e Imunologia Molecular. | pt_BR |
Language | eng | en_US |
Publisher | Nature Research | |
Rights | open access | |
Subject in Portuguese | Subtipo C do HIV-1 | pt_BR |
Subject in Portuguese | Abordagens filodinâmicas bayesianas | pt_BR |
Subject in Portuguese | Sul do Brasil | pt_BR |
Subject in Portuguese | África Oriental | pt_BR |
Subject in Portuguese | Dinâmicas populacionais | pt_BR |
Subject in Portuguese | Epidemias | pt_BR |
Title | Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches | en_US |
Type | Article | |
DOI | 10.1038/s41598-018-26824-4 | |
Abstract | The subtype C Eastern Africa clade (CEA), a particularly successful HIV-1 subtype C lineage, has seeded several sub-epidemics in Eastern African countries and Southern Brazil during the 1960s and 1970s. Here, we characterized the past population dynamics of the major CEA sub-epidemics in Eastern Africa and Brazil by using Bayesian phylodynamic approaches based on coalescent and birth-death models. All phylodynamic models support similar epidemic dynamics and exponential growth rates until roughly the mid-1980s for all the CEA sub-epidemics. Divergent growth patterns, however, were supported afterwards. The Bayesian skygrid coalescent model (BSKG) and the birth-death skyline model (BDSKY) supported longer exponential growth phases than the Bayesian skyline coalescent model (BSKL). The BDSKY model uncovers patterns of a recent decline for the CEA sub-epidemics in Burundi/Rwanda and Tanzania (Re < 1) and a recent growth for Southern Brazil (Re > 1); whereas coalescent models infer an epidemic stabilization. To the contrary, the BSKG model captured a decline of Ethiopian CEA sub-epidemic between the mid-1990s and mid-2000s that was not uncovered by the BDSKY model. These results underscore that the joint use of different phylodynamic approaches may yield complementary insights into the past HIV population dynamics. | en_US |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ, Brasil. | |
Affilliation | Universidade Federal do Rio de Janeiro. Centro de Ciências da Saúde. Instituto de Biologia. Departamento de Genética. Rio de Janeiro, RJ, Brasil / University of KwaZulu-Natal. College of Health Sciences. KwaZulu-Natal Research Innovation and Sequencing Platform. Durban, South Africa. | |
Affilliation | Fundação Estadual de Produção e Pesquisa em Saúde. Centro de Desenvolvimento Científico e Tecnológico. Porto Alegre, RS, Brasil / Universidade Federal do Rio Grande do Sul. Programa de Pós-Graduação em Genética e Biologia Molecular. Porto Alegre, RS, Brasil / Universidade Feevale. Instituto de Ciências da Saúde. Novo Hamburgo, RS, Brasil. | |
Affilliation | Universidade Federal de Santa Catarina. Departamento de Microbiologia, Imunologia e Parasitologia. Laboratório de Imunologia Aplicada. Florianópolis, SC, Brasil. | |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ, Brasil. | |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ, Brasil. | |
Subject | HIV-1 subtype C | en_US |
Subject | Eastern Africa | en_US |
Subject | Southern Brazil | en_US |
Subject | Bayesian phylodynamic approaches | en_US |
Subject | Population dynamics | en_US |
Subject | Epidemics | en_US |
e-ISSN | 2045-2322 | |