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Literature DB >> 29546389

Quantifying the Aftermath: Recent Outbreaks Among People Who Inject Drugs and the Utility of Phylodynamics.

Art F Y Poon¹, Bethany L Dearlove^2,3.

Abstract

Entities: Species

Mesh：

Year: 2018 PMID： 29546389 PMCID： PMC5972571 DOI： 10.1093/infdis/jiy132

Source DB: PubMed Journal: J Infect Dis ISSN： 0022-1899 Impact factor: 5.226

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References

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26 in total

1. HIV-1 pol gene variation is sufficient for reconstruction of transmissions in the era of antiretroviral therapy.

Authors: Stéphane Hué; Jonathan P Clewley; Patricia A Cane; Deenan Pillay
Journal: AIDS Date: 2004-03-26 Impact factor: 4.177

2. Need for robust and inclusive public health ethics review of the monitoring of HIV phylogenetic clusters for HIV prevention.

Authors: Mark Gilbert; Luke Swenson; David Unger; Ayden Scheim; Daniel Grace
Journal: Lancet HIV Date: 2016-10 Impact factor: 12.767

3. Inferring epidemiological dynamics with Bayesian coalescent inference: the merits of deterministic and stochastic models.

Authors: Alex Popinga; Tim Vaughan; Tanja Stadler; Alexei J Drummond
Journal: Genetics Date: 2014-12-19 Impact factor: 4.562

4. Community Outbreak of HIV Infection Linked to Injection Drug Use of Oxymorphone--Indiana, 2015.

Authors: Caitlin Conrad; Heather M Bradley; Dita Broz; Swamy Buddha; Erika L Chapman; Romeo R Galang; Daniel Hillman; John Hon; Karen W Hoover; Monita R Patel; Andrea Perez; Philip J Peters; Pam Pontones; Jeremy C Roseberry; Michelle Sandoval; Jessica Shields; Jennifer Walthall; Dorothy Waterhouse; Paul J Weidle; Hsiu Wu; Joan M Duwve
Journal: MMWR Morb Mortal Wkly Rep Date: 2015-05-01 Impact factor: 17.586

5. The effects of sampling strategy on the quality of reconstruction of viral population dynamics using Bayesian skyline family coalescent methods: A simulation study.

Authors: Matthew D Hall; Mark E J Woolhouse; Andrew Rambaut
Journal: Virus Evol Date: 2016-03-02

Quantifying the Aftermath: Recent Outbreaks Among People Who Inject Drugs and the Utility of Phylodynamics.

1. HIV-1 pol gene variation is sufficient for reconstruction of transmissions in the era of antiretroviral therapy.

2. Need for robust and inclusive public health ethics review of the monitoring of HIV phylogenetic clusters for HIV prevention.

3. Inferring epidemiological dynamics with Bayesian coalescent inference: the merits of deterministic and stochastic models.

4. Community Outbreak of HIV Infection Linked to Injection Drug Use of Oxymorphone--Indiana, 2015.

5. The effects of sampling strategy on the quality of reconstruction of viral population dynamics using Bayesian skyline family coalescent methods: A simulation study.

Review 6. Defining HIV-1 transmission clusters based on sequence data.

7. Perceptions of molecular epidemiology studies of HIV among stakeholders.

Review 8. Unifying the epidemiological and evolutionary dynamics of pathogens.

9. Simple epidemiological dynamics explain phylogenetic clustering of HIV from patients with recent infection.

10. Biased phylodynamic inferences from analysing clusters of viral sequences.