ArticlePLoS computational biology2013
Integrating phylodynamics and epidemiology to estimate transmission diversity in viral epidemics.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 67 citations in OpenAlex.
- Risk Factors Associated with HCV Among Opioid-Dependent Patients in a Multisite Study.Journal of community health · 2015Trial
- Addicts with chronic hepatitis C: difficult to reach, manage or treat?World journal of gastroenterology · 2013Trial
- Molecular source attribution.PLoS computational biology · 2022Article
- Phylodynamic analysis in the understanding of the current COVID-19 pandemic and its utility in vaccine and antiviral design and assessment.Human vaccines & immunotherapeutics · 2021Article
- Inferring transmission heterogeneity using virus genealogies: Estimation and targeted prevention.PLoS computational biology · 2020Article
- Mouse Models for Studying HCV Vaccines and Therapeutic Antibodies.Methods in molecular biology (Clifton, N.J.) · 2019Article
- China's tuberculosis epidemic stems from historical expansion of four strains of Mycobacterium tuberculosis.Nature ecology & evolution · 2018Article
- Contextualizing Canada's hepatitis C virus epidemic.Canadian liver journal · 2018Review
- Quantifying Transmission Heterogeneity Using Both Pathogen Phylogenies and Incidence Time Series.Molecular biology and evolution · 2017Article
- Integrating molecular epidemiology and social network analysis to study infectious diseases: Towards a socio-molecular era for public health.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2016Review
- Reducing HIV infection in people who inject drugs is impossible without targeting recently-infected subjects.AIDS (London, England) · 2016Article
- Epidemiology of hepatitis C in Greece.World journal of gastroenterology · 2016Review
- A Smartphone Application Supporting Recovery from Heroin Addiction: Perspectives of Patients and Providers in China, Taiwan, and the USA.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2016Article
- Molecular characterization of HCV in a Swedish county over 8 years (2002-2009) reveals distinct transmission patterns.Infection ecology & epidemiology · 2016Article
- Trends in the Mechanistic and Dynamic Modeling of Infectious Diseases.Current epidemiology reports · 2016Review
- ORBiT: Oak Ridge biosurveillance toolkit for public health dynamics.BMC bioinformatics · 2015Article
- Tactics and strategies for managing Ebola outbreaks and the salience of immunization.Computational and mathematical methods in medicine · 2015Article
- Molecular epidemiology, phylogeny and evolution of the filarial nematode Wuchereria bancrofti.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2014Review
- Genomic analysis of emerging pathogens: methods, application and future trends.Genome biology · 2014Review
- Transitioning to highly effective therapies for the treatment of chronic hepatitis C virus infection: a policy statement and implementation guideline.Canadian journal of gastroenterology & hepatology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
Abstract
The epidemiology of chronic viral infections, such as those caused by Hepatitis C Virus (HCV) and Human Immunodeficiency Virus (HIV), is affected by the risk group structure of the infected population. Risk groups are defined by each of their members having acquired infection through a specific behavior. However, risk group definitions say little about the transmission potential of each infected individual. Variation in the number of secondary infections is extremely difficult to estimate for HCV and HIV but crucial in the design of efficient control interventions. Here we describe a novel method that combines epidemiological and population genetic approaches to estimate the variation in transmissibility of rapidly-evolving viral epidemics. We evaluate this method using a nationwide HCV epidemic and for the first time co-estimate viral generation times and superspreading events from a combination of molecular and epidemiological data. We anticipate that this integrated approach will form the basis of powerful tools for describing the transmission dynamics of chronic viral diseases, and for evaluating control strategies directed against them.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.