Modeling the dynamics of viral evolution considering competition within individual hosts and at population level: the effects of treatment (2010)
- Authors:
- USP affiliated authors: AMAKU, MARCOS - FMVZ ; BURATTINI, MARCELO NASCIMENTO - FM ; COUTINHO, FRANCISCO ANTONIO BEZERRA - FM ; MASSAD, EDUARDO - FM
- Unidades: FMVZ; FM
- Subjects: VIROLOGIA (EVOLUÇÃO); EVOLUÇÃO CLÍNICA (VIROLOGIA); MUTAÇÃO (VIROLOGIA); ANTIVIRAIS (USO TERAPÊUTICO)
- Language: Inglês
- Imprenta:
- Source:
- Título: Bulletin of Mathematical Biology
- ISSN: 0092-8240
- Volume/Número/Paginação/Ano: v. 72, n. 5, p. 1294-1314, 2010
-
ABNT
AMAKU, Marcos et al. Modeling the dynamics of viral evolution considering competition within individual hosts and at population level: the effects of treatment. Bulletin of Mathematical Biology, v. 72, n. 5, p. 1294-1314, 2010Tradução . . Disponível em: http://www.springerlink.com/content/p70x206372w73125/fulltext.pdf. Acesso em: 07 fev. 2026. -
APA
Amaku, M., Burattini, M. N., Coutinho, F. A. B., & Massad, E. (2010). Modeling the dynamics of viral evolution considering competition within individual hosts and at population level: the effects of treatment. Bulletin of Mathematical Biology, 72( 5), 1294-1314. Recuperado de http://www.springerlink.com/content/p70x206372w73125/fulltext.pdf -
NLM
Amaku M, Burattini MN, Coutinho FAB, Massad E. Modeling the dynamics of viral evolution considering competition within individual hosts and at population level: the effects of treatment [Internet]. Bulletin of Mathematical Biology. 2010 ; 72( 5): 1294-1314.[citado 2026 fev. 07 ] Available from: http://www.springerlink.com/content/p70x206372w73125/fulltext.pdf -
Vancouver
Amaku M, Burattini MN, Coutinho FAB, Massad E. Modeling the dynamics of viral evolution considering competition within individual hosts and at population level: the effects of treatment [Internet]. Bulletin of Mathematical Biology. 2010 ; 72( 5): 1294-1314.[citado 2026 fev. 07 ] Available from: http://www.springerlink.com/content/p70x206372w73125/fulltext.pdf - Estimation of Ro from the initial phase of an outbreak of a vector-borne infection
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