» Articles » PMID: 20478883

Viral Phylodynamics and the Search for an 'effective Number of Infections'

Overview
Specialty Biology
Date 2010 May 19
PMID 20478883
Citations 88
Authors
Affiliations
Soon will be listed here.
Abstract

Information on the dynamics of the effective population size over time can be obtained from the analysis of phylogenies, through the application of time-varying coalescent models. This approach has been used to study the dynamics of many different viruses, and has demonstrated a wide variety of patterns, which have been interpreted in the context of changes over time in the 'effective number of infections', a quantity proportional to the number of infected individuals. However, for infectious diseases, the rate of coalescence is driven primarily by new transmissions i.e. the incidence, and only indirectly by the number of infected individuals through sampling effects. Using commonly used epidemiological models, we show that the coalescence rate may indeed reflect the number of infected individuals during the initial phase of exponential growth when time is scaled by infectivity, but in general, a single change in time scale cannot be used to estimate the number of infected individuals. This has important implications when integrating phylogenetic data in the context of other epidemiological data.

Citing Articles

Looking back into the Hepatitis C Virus epidemic dynamics from Unnao, India through phylogenetic approach.

Patil A, Vidhate P, Patil S, Rao A, Kurle S, Panda S PLoS One. 2025; 20(1):e0317705.

PMID: 39820923 PMC: 11737721. DOI: 10.1371/journal.pone.0317705.


Intensive transmission in wild, migratory birds drove rapid geographic dissemination and repeated spillovers of H5N1 into agriculture in North America.

Damodaran L, Jaeger A, Moncla L bioRxiv. 2025; .

PMID: 39763879 PMC: 11702765. DOI: 10.1101/2024.12.16.628739.


Interrogating Genomes and Geography to Unravel Multiyear Vesicular Stomatitis Epizootics.

Humphreys J, Shults P, Velazquez-Salinas L, Bertram M, Pelzel-McCluskey A, Pauszek S Viruses. 2024; 16(7).

PMID: 39066280 PMC: 11281362. DOI: 10.3390/v16071118.


Evaluating ARG-estimation methods in the context of estimating population-mean polygenic score histories.

Peng D, Mulder O, Edge M bioRxiv. 2024; .

PMID: 38854009 PMC: 11160635. DOI: 10.1101/2024.05.24.595829.


Lineage frequency time series reveal elevated levels of genetic drift in SARS-CoV-2 transmission in England.

Yu Q, Ascensao J, Okada T, Boyd O, Volz E, Hallatschek O PLoS Pathog. 2024; 20(4):e1012090.

PMID: 38620033 PMC: 11045146. DOI: 10.1371/journal.ppat.1012090.


References
1.
Njouom R, Nerrienet E, Dubois M, Lachenal G, Rousset D, Vessiere A . The hepatitis C virus epidemic in Cameroon: genetic evidence for rapid transmission between 1920 and 1960. Infect Genet Evol. 2006; 7(3):361-7. DOI: 10.1016/j.meegid.2006.10.003. View

2.
Rambaut A, Pybus O, Nelson M, Viboud C, Taubenberger J, Holmes E . The genomic and epidemiological dynamics of human influenza A virus. Nature. 2008; 453(7195):615-9. PMC: 2441973. DOI: 10.1038/nature06945. View

3.
Biek R, Walsh P, Leroy E, Real L . Recent common ancestry of Ebola Zaire virus found in a bat reservoir. PLoS Pathog. 2006; 2(10):e90. PMC: 1626099. DOI: 10.1371/journal.ppat.0020090. View

4.
Pereira C, Leal E, Durigon E . Selective regimen shift and demographic growth increase associated with the emergence of high-fitness variants of canine parvovirus. Infect Genet Evol. 2006; 7(3):399-409. DOI: 10.1016/j.meegid.2006.03.007. View

5.
Strimmer K, Pybus O . Exploring the demographic history of DNA sequences using the generalized skyline plot. Mol Biol Evol. 2001; 18(12):2298-305. DOI: 10.1093/oxfordjournals.molbev.a003776. View