Literature DB >> 24705143

The relative importance of frequency of contacts and duration of exposure for the spread of directly transmitted infections.

Elisabetta De Cao1, Emilio Zagheni2, Piero Manfredi3, Alessia Melegaro4.   

Abstract

The recent availability of survey data on social contact patterns has made possible important advances in the understanding of the social determinants of the spread of close-contact infections, and of the importance of long-lasting contacts for effective transmission to occur. Still, little is known about the relationship between two of the most critical identified factors (frequency of contacts and duration of exposure) and how this relationship applies to different types of infections. By integrating data from two independently collected social surveys (Polymod and time use), we propose a model that combines these two transmission determinants into a new epidemiologically relevant measure of contacts: the number of "suitable" contacts, which is the number of contacts that involve a sufficiently long exposure time to allow for transmission. The validity of this new epidemiological measure is tested against Italian serological data for varicella and parvovirus-B19, with uncertainty evaluated using the Bayesian melding technique. The model performs quite well, indicating that the interplay between time of exposure and contacts is critical for varicella transmission, while for B19 it is the duration of exposure that matters for transmission.
© The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Bayesian melding; Contact data; Italy; Parvovirus B19; Time use data; Varicella zoster virus

Mesh:

Year:  2014        PMID: 24705143     DOI: 10.1093/biostatistics/kxu008

Source DB:  PubMed          Journal:  Biostatistics        ISSN: 1465-4644            Impact factor:   5.899


  21 in total

1.  Effects of incomplete inter-hospital network data on the assessment of transmission dynamics of hospital-acquired infections.

Authors:  Hanjue Xia; Johannes Horn; Monika J Piotrowska; Konrad Sakowski; André Karch; Hannan Tahir; Mirjam Kretzschmar; Rafael Mikolajczyk
Journal:  PLoS Comput Biol       Date:  2021-05-06       Impact factor: 4.475

2.  Using time-use diaries to track changing behavior across successive stages of COVID-19 social restrictions.

Authors:  Oriel Sullivan; Jonathan Gershuny; Almudena Sevilla; Francesca Foliano; Margarita Vega-Rapun; Juana Lamote de Grignon; Teresa Harms; Pierre Walthéry
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-31       Impact factor: 11.205

3.  Causal analysis of H1N1pdm09 influenza infection risk in a household cohort.

Authors:  Yohann Mansiaux; Nicolas Salez; Nathanael Lapidus; Michel Setbon; Laurent Andreoletti; Marianne Leruez-Ville; Simon Cauchemez; Marie-Lise Gougeon; Frédéric Vély; Michael Schwarzinger; Laurent Abel; Rosemary Markovic Delabre; Antoine Flahault; Xavier de Lamballerie; Fabrice Carrat
Journal:  J Epidemiol Community Health       Date:  2014-11-21       Impact factor: 3.710

4.  The French Connection: The First Large Population-Based Contact Survey in France Relevant for the Spread of Infectious Diseases.

Authors:  Guillaume Béraud; Sabine Kazmercziak; Philippe Beutels; Daniel Levy-Bruhl; Xavier Lenne; Nathalie Mielcarek; Yazdan Yazdanpanah; Pierre-Yves Boëlle; Niel Hens; Benoit Dervaux
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

5.  Comparison of contact patterns relevant for transmission of respiratory pathogens in Thailand and The Netherlands using respondent-driven sampling.

Authors:  Mart L Stein; Jim E van Steenbergen; Vincent Buskens; Peter G M van der Heijden; Charnchudhi Chanyasanha; Mathuros Tipayamongkholgul; Anna E Thorson; Linus Bengtsson; Xin Lu; Mirjam E E Kretzschmar
Journal:  PLoS One       Date:  2014-11-25       Impact factor: 3.240

6.  Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors.

Authors:  Moses C Kiti; Michele Tizzoni; Timothy M Kinyanjui; Dorothy C Koech; Patrick K Munywoki; Milosch Meriac; Luca Cappa; André Panisson; Alain Barrat; Ciro Cattuto; D James Nokes
Journal:  EPJ Data Sci       Date:  2016-06-14       Impact factor: 3.184

7.  Measuring distance through dense weighted networks: The case of hospital-associated pathogens.

Authors:  Tjibbe Donker; Timo Smieszek; Katherine L Henderson; Alan P Johnson; A Sarah Walker; Julie V Robotham
Journal:  PLoS Comput Biol       Date:  2017-08-03       Impact factor: 4.475

8.  Contacts of healthcare workers, patients and visitors in general wards in Singapore.

Authors:  L Jiang; H L Ng; H J Ho; Y S Leo; K Prem; A R Cook; M I Chen
Journal:  Epidemiol Infect       Date:  2017-09-08       Impact factor: 4.434

9.  Tracking social contact networks with online respondent-driven detection: who recruits whom?

Authors:  Mart L Stein; Peter G M van der Heijden; Vincent Buskens; Jim E van Steenbergen; Linus Bengtsson; Carl E Koppeschaar; Anna Thorson; Mirjam E E Kretzschmar
Journal:  BMC Infect Dis       Date:  2015-11-14       Impact factor: 3.090

10.  Contact diaries versus wearable proximity sensors in measuring contact patterns at a conference: method comparison and participants' attitudes.

Authors:  Timo Smieszek; Stefanie Castell; Alain Barrat; Ciro Cattuto; Peter J White; Gérard Krause
Journal:  BMC Infect Dis       Date:  2016-07-22       Impact factor: 3.090

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