Literature DB >> 18466660

Contact patterns and their implied basic reproductive numbers: an illustration for varicella-zoster virus.

T Van Effelterre1, Z Shkedy, M Aerts, G Molenberghs, P Van Damme, P Beutels.   

Abstract

The WAIFW matrix (Who Acquires Infection From Whom) is a central parameter in modelling the spread of infectious diseases. The calculation of the basic reproductive number (R0) depends on the assumptions made about the transmission within and between age groups through the structure of the WAIFW matrix and different structures might lead to different estimates for R0 and hence different estimates for the minimal immunization coverage needed for the elimination of the infection in the population. In this paper, we estimate R0 for varicella in Belgium. The force of infection is estimated from seroprevalence data using fractional polynomials and we show how the estimate of R0 is heavily influenced by the structure of the WAIFW matrix.

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Year:  2008        PMID: 18466660     DOI: 10.1017/S0950268808000563

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  7 in total

1.  Effects of contact network structure on epidemic transmission trees: implications for data required to estimate network structure.

Authors:  Nicole Bohme Carnegie
Journal:  Stat Med       Date:  2017-02-13       Impact factor: 2.373

2.  Modelling the initial phase of an epidemic using incidence and infection network data: 2009 H1N1 pandemic in Israel as a case study.

Authors:  G Katriel; R Yaari; A Huppert; U Roll; L Stone
Journal:  J R Soc Interface       Date:  2011-01-19       Impact factor: 4.118

3.  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

4.  Modelling the effects of population structure on childhood disease: the case of varicella.

Authors:  Romain Silhol; Pierre-Yves Boëlle
Journal:  PLoS Comput Biol       Date:  2011-07-21       Impact factor: 4.475

5.  A dynamic transmission model with age-dependent infectiousness and reactivation for cytomegalovirus in the United States: Potential impact of vaccination strategies on congenital infection.

Authors:  Cosmina Hogea; Ilse Dieussaert; Thierry Van Effelterre; Adrienne Guignard; Johann Mols
Journal:  Hum Vaccin Immunother       Date:  2015       Impact factor: 3.452

6.  Mining social mixing patterns for infectious disease models based on a two-day population survey in Belgium.

Authors:  Niel Hens; Nele Goeyvaerts; Marc Aerts; Ziv Shkedy; Pierre Van Damme; Philippe Beutels
Journal:  BMC Infect Dis       Date:  2009-01-20       Impact factor: 3.090

7.  Sub-national variation in measles vaccine coverage and outbreak risk: a case study from a 2010 outbreak in Malawi.

Authors:  Avery Kundrick; Zhuojie Huang; Spencer Carran; Matthew Kagoli; Rebecca Freeman Grais; Northan Hurtado; Matthew Ferrari
Journal:  BMC Public Health       Date:  2018-06-15       Impact factor: 3.295

  7 in total

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