Publications des scientifiques de l'IRD

Dall'Amico L., Kleynhans J., Gauvin Laëtitia, Tizzoni M., Ozella L., Makhasi M., Wolter N., Language B., Wagner R. G., Cohen C., Tempia S., Cattuto C. (2024). Estimating household contact matrices structure from easily collectable metadata. PLoS One, 19 (3), e0296810 [13 p.]. ISSN 1932-6203.

Titre du document
Estimating household contact matrices structure from easily collectable metadata
Année de publication
2024
Type de document
Article référencé dans le Web of Science WOS:001192363700001
Auteurs
Dall'Amico L., Kleynhans J., Gauvin Laëtitia, Tizzoni M., Ozella L., Makhasi M., Wolter N., Language B., Wagner R. G., Cohen C., Tempia S., Cattuto C.
Source
PLoS One, 2024, 19 (3), e0296810 [13 p.] ISSN 1932-6203
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.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Santé : généralités [050] ; Démographie [108]
Description Géographique
AFRIQUE DU SUD
Localisation
Fonds IRD [F B010090518]
Identifiant IRD
fdi:010090518
Contact