HIV-1 Transmission linkages among persons with incident infection to inform public health surveillance
Ann M Dennis,Simon D. W. Frost,Simon D. W. Frost,Kimberly Enders,Andrew E. Cressman,Erik M. Volz,Nicole Adams,William C. Miller,Myron S. Cohen,Victoria Mobley,Erika Samoff,Joseph J. Eron +11 more
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TLDR
In this article, the authors evaluated features of HIV transmission networks involving persons diagnosed during incident HIV infection (IHI) to assess network-based opportunities to curtail onward transmission and assessed named partner outcomes among IHI index persons using contact tracing data.About:
This article is published in EClinicalMedicine.The article was published on 2021-06-17 and is currently open access. It has received 4 citations till now. The article focuses on the topics: Contact tracing.read more
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Undiagnosed HIV Infections May Drive HIV Transmission in the Era of “Treat All”: A Deep-Sampling Molecular Network Study in Northeast China during 2016 to 2019
Bin-Bin Zhao,Yu Qiu,Wei-zhong Song,Mingming Kang,Xue Dong,Xin Li,Lu Wang,Jianmin Liu,Haibo Ding,Zhenxing Chu,Lin Wang,Wen Tian,Hong Shang,Xiaoxu Han +13 more
TL;DR: Undiagnosed people living with HIV (PLWH) hidden behind the links between index cases and individuals with VS were likely to be male, younger than 25 years of age, with Manchu nationality, and should be the target for early detection and intervention.
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Estimating the potential to prevent locally acquired HIV infections in a UNAIDS Fast-Track City, Amsterdam
TL;DR: In this paper , a Bayesian negative binomial branching process model was used to estimate the number, size, and growth of the unobserved Amsterdam transmission chains from the partially observed phylogenetic data.
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Not all clusters are equal: dynamics of molecular HIV-1 clusters in a statewide Rhode Island epidemic
TL;DR: In this paper , a comprehensive tracing of molecular HIV clusters over time in a statewide epidemic identified distinct cluster types, likely missed in cross-sectional analyses, demonstrating that not all clusters are equal.
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Model design for nonparametric phylodynamic inference and applications to pathogen surveillance
TL;DR: In this article , a frequentist approach based on nonparametric latent process models of population size dynamics is proposed to estimate the effective population size from genomic data, which can provide unique information about demographic history and can also provide insights into epidemiological dynamics.
References
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