Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.02353 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913491053445120 |
|---|---|
| author | Akter, Tahmina Deardon, Rob |
| author_facet | Akter, Tahmina Deardon, Rob |
| contents | Here, we introduce a novel framework for modelling the spatiotemporal dynamics of disease spread known as conditional logistic individual-level models (CL-ILM's). This framework alleviates much of the computational burden associated with traditional spatiotemporal individual-level models for epidemics, and facilitates the use of standard software for fitting logistic models when analysing spatiotemporal disease patterns. The models can be fitted in either a frequentist or Bayesian framework. Here, we apply the new spatial CL-ILM to both simulated and semi-real data from the UK 2001 foot-and-mouth disease epidemic. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_02353 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Conditional logistic individual-level models of spatial infectious disease dynamics Akter, Tahmina Deardon, Rob Computation Here, we introduce a novel framework for modelling the spatiotemporal dynamics of disease spread known as conditional logistic individual-level models (CL-ILM's). This framework alleviates much of the computational burden associated with traditional spatiotemporal individual-level models for epidemics, and facilitates the use of standard software for fitting logistic models when analysing spatiotemporal disease patterns. The models can be fitted in either a frequentist or Bayesian framework. Here, we apply the new spatial CL-ILM to both simulated and semi-real data from the UK 2001 foot-and-mouth disease epidemic. |
| title | Conditional logistic individual-level models of spatial infectious disease dynamics |
| topic | Computation |
| url | https://arxiv.org/abs/2409.02353 |