WILDbase: towards a common database to improve wildlife disease surveillance in Europe.


Journal

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
ISSN: 1560-7917
Titre abrégé: Euro Surveill
Pays: Sweden
ID NLM: 100887452

Informations de publication

Date de publication:
Jun 2024
Historique:
medline: 21 6 2024
pubmed: 21 6 2024
entrez: 21 6 2024
Statut: ppublish

Résumé

BackgroundTo be better prepared for emerging wildlife-borne zoonoses, we need to strengthen wildlife disease surveillance.AimThe aim of this study was to create a topical overview of zoonotic pathogens in wildlife species to identify knowledge gaps and opportunities for improvement of wildlife disease surveillance.MethodsWe created a database, which is based on a systematic literature review in Embase focused on zoonotic pathogens in 10 common urban wildlife mammals in Europe, namely brown rats, house mice, wood mice, common voles, red squirrels, European rabbits, European hedgehogs, European moles, stone martens and red foxes. In total, we retrieved 6,305 unique articles of which 882 were included.ResultsIn total, 186 zoonotic pathogen species were described, including 90 bacteria, 42 helminths, 19 protozoa, 22 viruses and 15 fungi. Most of these pathogens were only studied in one single animal species. Even considering that some pathogens are relatively species-specific, many European countries have no (accessible) data on zoonotic pathogens in these relevant animal species. We used the Netherlands as an example to show how this database can be used by other countries to identify wildlife disease surveillance gaps on a national level. Only 4% of all potential host-pathogen combinations have been studied in the Netherlands.ConclusionsThis database comprises a comprehensive overview that can guide future research on wildlife-borne zoonotic diseases both on a European and national scale. Sharing and expanding this database provides a solid starting point for future European-wide collaborations to improve wildlife disease surveillance.

Identifiants

pubmed: 38904114
doi: 10.2807/1560-7917.ES.2024.29.25.2300617
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Marieke P de Cock (MP)

Wageningen University and Research, Quantitative Veterinary Epidemiology, Wageningen, The Netherlands.
National Institute for Public Health and the Environment, Centre for Infectious Disease Control, Bilthoven, The Netherlands.

Valérie O Baede (VO)

National Institute for Public Health and the Environment, Centre for Infectious Disease Control, Bilthoven, The Netherlands.

Sara R Wijburg (SR)

National Institute for Public Health and the Environment, Centre for Infectious Disease Control, Bilthoven, The Netherlands.

Sara A Burt (SA)

Utrecht University, Institute for Risk Assessment Science (IRAS), Utrecht, The Netherlands.

Robert Fna van Tiel (RF)

Utrecht University, Institute for Risk Assessment Science (IRAS), Utrecht, The Netherlands.

Kim K Wiskerke (KK)

Utrecht University, Institute for Risk Assessment Science (IRAS), Utrecht, The Netherlands.

Jens Rj van der Post (JR)

Utrecht University, Institute for Risk Assessment Science (IRAS), Utrecht, The Netherlands.

Wim Hm van der Poel (WH)

Wageningen Bioveterinary Research, Lelystad, The Netherlands.
Wageningen University and Research, Quantitative Veterinary Epidemiology, Wageningen, The Netherlands.

Hein Sprong (H)

National Institute for Public Health and the Environment, Centre for Infectious Disease Control, Bilthoven, The Netherlands.

Miriam Maas (M)

National Institute for Public Health and the Environment, Centre for Infectious Disease Control, Bilthoven, The Netherlands.

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Classifications MeSH