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Estimating household contact matrices structure from easily collectable metadata

Author

Listed:
  • Lorenzo Dall’Amico
  • Jackie Kleynhans
  • Laetitia Gauvin
  • Michele Tizzoni
  • Laura Ozella
  • Mvuyo Makhasi
  • Nicole Wolter
  • Brigitte Language
  • Ryan G Wagner
  • Cheryl Cohen
  • Stefano Tempia
  • Ciro Cattuto

Abstract

Contact matrices are a commonly adopted data representation, used to develop compartmental models for epidemic spreading, accounting for the contact heterogeneities across age groups. Their estimation, however, is generally time and effort consuming and model-driven strategies to quantify the contacts are often needed. In this article we focus on household contact matrices, describing the contacts among the members of a family and develop a parametric model to describe them. This model combines demographic and easily quantifiable survey-based data and is tested on high resolution proximity data collected in two sites in South Africa. Given its simplicity and interpretability, we expect our method to be easily applied to other contexts as well and we identify relevant questions that need to be addressed during the data collection procedure.

Suggested Citation

  • Lorenzo Dall’Amico & Jackie Kleynhans & Laetitia Gauvin & Michele Tizzoni & Laura Ozella & Mvuyo Makhasi & Nicole Wolter & Brigitte Language & Ryan G Wagner & Cheryl Cohen & Stefano Tempia & Ciro Catt, 2024. "Estimating household contact matrices structure from easily collectable metadata," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-13, March.
    • Handle: RePEc:plo:pone00:0296810
    DOI: 10.1371/journal.pone.0296810
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    References listed on IDEAS

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    1. G. Cencetti & G. Santin & A. Longa & E. Pigani & A. Barrat & C. Cattuto & S. Lehmann & M. Salathé & B. Lepri, 2021. "Digital proximity tracing on empirical contact networks for pandemic control," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    2. Joël Mossong & Niel Hens & Mark Jit & Philippe Beutels & Kari Auranen & Rafael Mikolajczyk & Marco Massari & Stefania Salmaso & Gianpaolo Scalia Tomba & Jacco Wallinga & Janneke Heijne & Malgorzata Sa, 2008. "Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases," PLOS Medicine, Public Library of Science, vol. 5(3), pages 1-1, March.
    3. Albert-László Barabási, 2005. "The origin of bursts and heavy tails in human dynamics," Nature, Nature, vol. 435(7039), pages 207-211, May.
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