Chilean Avian flu and its marine impacts: an online Statistical Process Control task
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866916735341297664 |
|---|---|
| author | Nascimento, Diego Carvalho do Ulloa, Mauricio Oses, Romulo Louzada, Francisco Junior, Oilson Alberto Gonzatto |
| author_facet | Nascimento, Diego Carvalho do Ulloa, Mauricio Oses, Romulo Louzada, Francisco Junior, Oilson Alberto Gonzatto |
| contents | The rapid spread of the HPAI H5N1 virus, responsible for the Avian Flu, is causing a great catastrophe on the South American Pacific coast (especially in the south of Peru and north of Chile). Although very little attention has been delivered to this pandemic, it presents a tremendous lethal rate, though the number of infected humans is relatively low. Towards monitoring and statistical control, this work shows the Chilean national statistics from the year 2023, and presents the developed online tool for supporting the government's decision-making. Additionally, a Bayesian hierarchical spatiotemporal model was used to model the joint analysis of the weekly registered animal including spatial covariates as well as specific and shared spatial effects that take into account the potential autocorrelation between the HPAI H5N1 virus per Region. Our findings allow us to identify the hot-spot areas with high amounts of dead bodies (mostly pinnipeds and penguins) and their evolution over time. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_08629 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Chilean Avian flu and its marine impacts: an online Statistical Process Control task Nascimento, Diego Carvalho do Ulloa, Mauricio Oses, Romulo Louzada, Francisco Junior, Oilson Alberto Gonzatto Applications The rapid spread of the HPAI H5N1 virus, responsible for the Avian Flu, is causing a great catastrophe on the South American Pacific coast (especially in the south of Peru and north of Chile). Although very little attention has been delivered to this pandemic, it presents a tremendous lethal rate, though the number of infected humans is relatively low. Towards monitoring and statistical control, this work shows the Chilean national statistics from the year 2023, and presents the developed online tool for supporting the government's decision-making. Additionally, a Bayesian hierarchical spatiotemporal model was used to model the joint analysis of the weekly registered animal including spatial covariates as well as specific and shared spatial effects that take into account the potential autocorrelation between the HPAI H5N1 virus per Region. Our findings allow us to identify the hot-spot areas with high amounts of dead bodies (mostly pinnipeds and penguins) and their evolution over time. |
| title | Chilean Avian flu and its marine impacts: an online Statistical Process Control task |
| topic | Applications |
| url | https://arxiv.org/abs/2505.08629 |