Publication date: Sep 15, 2023
Transmissible infections such as those caused by SARS-CoV-2 spread according to who contacts whom. Therefore, many epidemic models incorporate contact patterns through contact matrices. Contact matrices can be generated from social contact survey data. However, the resulting matrices are often imbalanced, such that the total number of contacts reported by group A with group B do not match those reported by group B with group A. We examine the theoretical influence of imbalanced contact matrices on the estimated basic reproduction number (R0). We then explore how imbalanced matrices may bias model-based epidemic projections using an illustrative simulation model of SARS-CoV-2 with two age groups (
| Concepts | Keywords |
|---|---|
| Epidemic | contact balance |
| Epidemiology | contact mixing |
| Matrices | contact reciprocity |
| Models | infectious disease modelling |
| Theoretical | SARS-CoV-2 |
| vaccine policy |
Semantics
| Type | Source | Name |
|---|---|---|
| disease | MESH | infections |
| pathway | REACTOME | Reproduction |
| drug | DRUGBANK | Isoxaflutole |
| disease | MESH | infectious disease |
| disease | VO | vaccine |
Original Article
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