DiFLUsion: A new spatiotemporal early warning system for HPAI

Iglesias, I.; Kanankege, Kaushi S. T.; Valencia, E.J.; Liu, C.J.; Blanco, Canto; Lim, Suk-Kyung; Gómez-Pérez, Juanita; Tomas-Tenllado, C.; Torre, Ana de la; Perez, Ariana

doi:10.1016/j.ijid.2021.12.239

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AIV surveillance within poultry flocks can include the use of diagnostic testing schemes 24 , sentinel birds 25 , surveillance of flock mortality 26 and morbidity and monitoring the daily feed and water intake and egg production 27 . Early warning systems for AIV in large areas (e.g., country level) can include active and passive surveillance of poultry flocks and wild birds 6 , environmental sampling 28 , complex systems such as hybrid knowledge-based algorithms 29 , and models based on movement data 30 , 31 . However, there is a need for systems that cover larger study areas beyond national boundaries, incorporate multiple wild- and domestic bird species and use real-time outbreak data.…”

Section: Introductionmentioning

confidence: 99%

Using surveillance data for early warning modelling of highly pathogenic avian influenza in Europe reveals a seasonal shift in transmission, 2016–2022

Jung Kjær,

Ward,

Boklund

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Avian influenza in wild birds and poultry flocks constitutes a problem for animal welfare, food security and public health. In recent years there have been increasing numbers of outbreaks in Europe, with many poultry flocks culled after being infected with highly pathogenic avian influenza (HPAI). Continuous monitoring is crucial to enable timely implementation of control to prevent HPAI spread from wild birds to poultry and between poultry flocks within a country. We here utilize readily available public surveillance data and time-series models to predict HPAI detections within European countries and show a seasonal shift that happened during 2021–2022. The output is models capable of monitoring the weekly risk of HPAI outbreaks, to support decision making.

show abstract

Section: Introductionmentioning

confidence: 99%

Using surveillance data for early warning modelling of highly pathogenic avian influenza in Europe reveals a seasonal shift in transmission, 2016–2022

Jung Kjær,

Ward,

Boklund

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Con este objetivo en España se ha desarrollado un sistema de alerta en tiempo real llamado DiFLUsion (Figura 2). Este sistema identifica las zonas de riesgo de entrada del virus en España mediante el seguimiento de los movimientos de aves silvestres desde áreas afectadas por la enfermedad, combinando esta información con datos de notificaciones de casos de GA, temperaturas y fenologías ornitológicas en tiempo real (14). El sistema ha demostrado ser una herramienta efectiva para la toma de decisiones en las zonas de especial riesgo y vigilancia por parte de la Subdirección General de Sanidad e Higiene Animal y Trazabilidad del Ministerio de Agricultura, Pesca y Alimentación de España y ha recibido el reconocimiento de la comunidad científica con el premio Jose María Mayoral de vigilancia en salud pública 2021 de la Sociedad Española de Epidemiología.…”

Section: Herramientas De Prevención Y Control Frente a La Gripe Aviar...unclassified

Could avian influenza A(H5N1) cause a new pandemic?

Pérez-Ramírez,

Iglesias,

Alvar

et al. 2023

an. ranm

View full text Add to dashboard Cite

Avian influenza is one of the most devastating animal diseases. It has a huge economic and sanitary impact and, in some instances, it represents a great risk for public health. Since late 2020 we are experiencing the most severe avian influenza epidemic in history, caused by the highly pathogenic subtype H5N1, belonging to clade 2.3.4.4b. This strain is causing important modifications in the epidemiology of the virus that have never been observed before: (1) a widely extended geographical distribution that confers the character of a panzootic, (2) occurrence of outbreaks throughout the year, unlike the previous seasonal patterns in autumn and winter, (3) high mortality rates not only in poultry, but also in wild birds and (4) more frequent spillovers from birds to mammals. In order to prevent the transmission of the virus from wild birds to poultry, it is important to improve the biosecurity of poultry farms, establish active and passive virological surveillance programs, assess vaccination strategies for domestic birds and develop real-time alert systems that are able to predict periods and areas at high risk for disease introduction. Although avian influenza viruses have limited capacity to jump to humans, this risk should not be underestimated, especially in the current situation with extremely high viral circulation in animals. In Spain, the National Center for Microbiology closely monitors all human cases of influenza A that are negative for the H1 and H3 seasonal subtypes, especially in patients who have contact with animals. For the prevention and control of this zoonosis it is essential to establish an effective and stable collaboration between professionals of the animal health, public health and environmental sectors.

show abstract

DiFLUsion: A new spatiotemporal early warning system for HPAI

Cited by 2 publications

References 0 publications

Using surveillance data for early warning modelling of highly pathogenic avian influenza in Europe reveals a seasonal shift in transmission, 2016–2022

Using surveillance data for early warning modelling of highly pathogenic avian influenza in Europe reveals a seasonal shift in transmission, 2016–2022

Could avian influenza A(H5N1) cause a new pandemic?

Contact Info

Product

Resources

About