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Article Dans Une Revue PLoS ONE Année : 2024

Estimating household contact matrices structure from easily collectable metadata

Jackie Kleynhans
Michele Tizzoni
Laura Ozella
  • Fonction : Auteur
Mvuyo Makhasi
  • Fonction : Auteur
Nicole Wolter
  • Fonction : Auteur
Brigitte Language
Ryan Wagner
Cheryl Cohen
  • Fonction : Auteur
Stefano Tempia
  • Fonction : Auteur
Ciro Cattuto
  • Fonction : Auteur

Résumé

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.

Dates et versions

hal-04506141 , version 1 (15-03-2024)

Identifiants

Citer

Lorenzo Dall’amico, Jackie Kleynhans, Laetitia Gauvin, Michele Tizzoni, Laura Ozella, et al.. Estimating household contact matrices structure from easily collectable metadata. PLoS ONE, 2024, 19 (3), pp.e0296810. ⟨10.1371/journal.pone.0296810⟩. ⟨hal-04506141⟩
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