Literature DB >> 22094337

What types of contacts are important for the spread of infections?: using contact survey data to explore European mixing patterns.

Alessia Melegaro1, Mark Jit, Nigel Gay, Emilio Zagheni, W John Edmunds.   

Abstract

Knowledge of the determinants of infectious disease transmission is a public health priority as it allows the design of optimal control strategies for endemic or emerging infections. We analyse a detailed dataset on contact patterns across five European countries and use available serological profiles for varicella and parvovirus B19 infections to identify the types of contact that may be most relevant for transmission. We show that models informed by contact data fit well the observed serological profiles of both infections. We find that intimate types of contacts explain the pattern of acquisition of serological markers by age better than other types of social contacts. We observe similar patterns in each of the countries analysed, suggesting that there are consistent biological mechanisms at work.
Copyright © 2011 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 22094337     DOI: 10.1016/j.epidem.2011.04.001

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  65 in total

Review 1.  Close encounters of the infectious kind: methods to measure social mixing behaviour.

Authors:  J M Read; W J Edmunds; S Riley; J Lessler; D A T Cummings
Journal:  Epidemiol Infect       Date:  2012-06-12       Impact factor: 2.451

2.  Estimating age-specific reproductive numbers-A comparison of methods.

Authors:  Carlee B Moser; Laura F White
Journal:  Stat Methods Med Res       Date:  2016-10-17       Impact factor: 3.021

3.  Has VZV epidemiology changed in Italy? Results of a seroprevalence study.

Authors:  Antonella De Donno; Parvanè Kuhdari; Marcello Guido; Maria Cristina Rota; Antonino Bella; Giordana Brignole; Silvia Lupi; Adele Idolo; Armando Stefanati; Martina Del Manso; Giovanni Gabutti
Journal:  Hum Vaccin Immunother       Date:  2016-12-27       Impact factor: 3.452

Review 4.  Case fatality risk of influenza A (H1N1pdm09): a systematic review.

Authors:  Jessica Y Wong; Heath Kelly; Dennis K M Ip; Joseph T Wu; Gabriel M Leung; Benjamin J Cowling
Journal:  Epidemiology       Date:  2013-11       Impact factor: 4.822

5.  The impact of illness on social networks: implications for transmission and control of influenza.

Authors:  Kim Van Kerckhove; Niel Hens; W John Edmunds; Ken T D Eames
Journal:  Am J Epidemiol       Date:  2013-10-07       Impact factor: 4.897

6.  Estimating the basic reproductive number of varicella in South Korea incorporating social contact patterns and seroprevalence.

Authors:  Taeyong Lee; Jiyeon Suh; Jae-Ki Choi; Jeehyun Lee; Sun Hee Park
Journal:  Hum Vaccin Immunother       Date:  2021-04-08       Impact factor: 3.452

7.  The impact of demographic changes on the epidemiology of herpes zoster: Spain as a case study.

Authors:  Valentina Marziano; Piero Poletti; Giorgio Guzzetta; Marco Ajelli; Piero Manfredi; Stefano Merler
Journal:  Proc Biol Sci       Date:  2015-04-07       Impact factor: 5.349

8.  The role of social contacts and original antigenic sin in shaping the age pattern of immunity to seasonal influenza.

Authors:  Adam J Kucharski; Julia R Gog
Journal:  PLoS Comput Biol       Date:  2012-10-25       Impact factor: 4.475

9.  Perspectives on the impact of varicella immunization on herpes zoster. A model-based evaluation from three European countries.

Authors:  Piero Poletti; Alessia Melegaro; Marco Ajelli; Emanuele Del Fava; Giorgio Guzzetta; Luca Faustini; Giampaolo Scalia Tomba; Pierluigi Lopalco; Caterina Rizzo; Stefano Merler; Piero Manfredi
Journal:  PLoS One       Date:  2013-04-17       Impact factor: 3.240

10.  A lattice model for influenza spreading.

Authors:  Antonella Liccardo; Annalisa Fierro
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.