Literature DB >> 28812540

Quantifying Transmission.

Mark Woolhouse1.   

Abstract

Transmissibility is the defining characteristic of infectious diseases. Quantifying transmission matters for understanding infectious disease epidemiology and designing evidence-based disease control programs. Tracing individual transmission events can be achieved by epidemiological investigation coupled with pathogen typing or genome sequencing. Individual infectiousness can be estimated by measuring pathogen loads, but few studies have directly estimated the ability of infected hosts to transmit to uninfected hosts. Individuals' opportunities to transmit infection are dependent on behavioral and other risk factors relevant given the transmission route of the pathogen concerned. Transmission at the population level can be quantified through knowledge of risk factors in the population or phylogeographic analysis of pathogen sequence data. Mathematical model-based approaches require estimation of the per capita transmission rate and basic reproduction number, obtained by fitting models to case data and/or analysis of pathogen sequence data. Heterogeneities in infectiousness, contact behavior, and susceptibility can have substantial effects on the epidemiology of an infectious disease, so estimates of only mean values may be insufficient. For some pathogens, super-shedders (infected individuals who are highly infectious) and super-spreaders (individuals with more opportunities to transmit infection) may be important. Future work on quantifying transmission should involve integrated analyses of multiple data sources.

Entities:  

Keywords:  contact tracing; genome sequencing; infectiousness; phylogenetics; phylogeography; super-shedding; super-spreading; susceptibility

Mesh:

Year:  2017        PMID: 28812540     DOI: 10.1128/microbiolspec.MTBP-0005-2016

Source DB:  PubMed          Journal:  Microbiol Spectr        ISSN: 2165-0497


  5 in total

1.  Frequency of transmission, asymptomatic shedding, and airborne spread of Streptococcus pyogenes in schoolchildren exposed to scarlet fever: a prospective, longitudinal, multicohort, molecular epidemiological, contact-tracing study in England, UK.

Authors:  Rebecca Cordery; Amrit K Purba; Lipi Begum; Ewurabena Mills; Mia Mosavie; Ana Vieira; Elita Jauneikaite; Rhoda C Y Leung; Matthew K Siggins; Derren Ready; Peter Hoffman; Theresa Lamagni; Shiranee Sriskandan
Journal:  Lancet Microbe       Date:  2022-03-10

2.  The Radiation-Transmission-Reception (RTR) model of propagation: Implications for the effectiveness of network interventions.

Authors:  Wouter Vermeer; Otto Koppius; Peter Vervest
Journal:  PLoS One       Date:  2018-12-05       Impact factor: 3.240

3.  Simulating Multilevel Dynamics of Antimicrobial Resistance in a Membrane Computing Model.

Authors:  Marcelino Campos; Rafael Capilla; Fernando Naya; Ricardo Futami; Teresa Coque; Andrés Moya; Val Fernandez-Lanza; Rafael Cantón; José M Sempere; Carlos Llorens; Fernando Baquero
Journal:  mBio       Date:  2019-01-29       Impact factor: 7.867

4.  Quantifying Leishmania Metacyclic Promastigotes from Individual Sandfly Bites Reveals the Efficiency of Vector Transmission.

Authors:  Emilie Giraud; Oihane Martin; Laith Yakob; Matthew Rogers
Journal:  Commun Biol       Date:  2019-02-28

Review 5.  Methods Combining Genomic and Epidemiological Data in the Reconstruction of Transmission Trees: A Systematic Review.

Authors:  Hélène Duault; Benoit Durand; Laetitia Canini
Journal:  Pathogens       Date:  2022-02-15
  5 in total

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