Birth-death skyline plot reveals temporal changes of epidemic spread in HIV and hepatitis C virus (HCV)

Proceedings of the National Academy of Sciences of the United States of America

Volumn 110, Issue 1, 2013, Pages 228-233

  Stadler, Tanja ^a   Kühnert, Denise ^b   Bonhoeffer, Sebastian ^a   Drummond, Alexei J ^b  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Birth death prior; Epidemiological dynamics; Phylodynamics

Indexed keywords

ARTICLE; BAYES THEOREM; BIRTH; BIRTH DEATH SKYLINE PLOT; CONTROLLED STUDY; DATA ANALYSIS SOFTWARE; DEATH; EPIDEMIC; HEPATITIS C; HEPATITIS C VIRUS; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS 1 INFECTION; INCIDENCE; PRIORITY JOURNAL; PUBLIC HEALTH SERVICE; UNITED KINGDOM; VIRUS TRANSMISSION;

BAYES THEOREM; EGYPT; GREAT BRITAIN; HEPACIVIRUS; HEPATITIS C; HIV INFECTIONS; HIV-1; INCIDENCE; MODELS, GENETIC; PHYLOGENY; PREVALENCE; SOFTWARE;

HEPATITIS C VIRUS; HUMAN IMMUNODEFICIENCY VIRUS 1;

EID: 84871983084     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1207965110     Document Type: Article

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