Estimating household contact matrices structure from easily collectable metadata
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arXiv
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| Auteurs principaux: | , , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2022
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| _version_ | 1866914932578058240 |
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| author | Dall'Amico, Lorenzo Kleynhans, Jackie Gauvin, Laetitia Tizzoni, Michele Ozella, Laura Makhasi, Mvuyo Wolter, Nicole Language, Brigitte Wagner, Ryan G. Cohen, Cheryl Tempia, Stefano Cattuto, Ciro |
| author_facet | Dall'Amico, Lorenzo Kleynhans, Jackie Gauvin, Laetitia Tizzoni, Michele Ozella, Laura Makhasi, Mvuyo Wolter, Nicole Language, Brigitte Wagner, Ryan G. Cohen, Cheryl Tempia, Stefano Cattuto, Ciro |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2210_07034 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Estimating household contact matrices structure from easily collectable metadata Dall'Amico, Lorenzo Kleynhans, Jackie Gauvin, Laetitia Tizzoni, Michele Ozella, Laura Makhasi, Mvuyo Wolter, Nicole Language, Brigitte Wagner, Ryan G. Cohen, Cheryl Tempia, Stefano Cattuto, Ciro Physics and Society 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. |
| title | Estimating household contact matrices structure from easily collectable metadata |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2210.07034 |