The urgency of addressing zoonotic diseases surveillance: Potential opportunities considering One Health approaches and common European Data Spaces

被引：0

作者：

Riccetti, Nicola ^{[1
]}

Signorelli, Serena ^{[1
]}

Fanelli, Angela ^{[1
,2
]}

Massaro, Emanuele ^{[1
]}

Bacco, Manlio ^{[1
]}

Szewczyk, Wojciech ^{[2
]}

Ibarreta, Dolores ^{[2
]}

Ciscar, Juan Carlos ^{[2
]}

Cescatti, Alessandro ^{[1
]}

Coecke, Sandra ^{[1
]}

Capua, Ilaria ^{[3
]}

机构：

[1] European Commiss, Joint Res Ctr JRC, Via E Fermi 2749, I-21027 Ispra, Italy

[2] European Commiss, Joint Res Ctr JRC, C Inca Garcilaso 3, Seville 41092, Spain

[3] Johns Hopkins Univ, SAIS Europe, Via B Andreatta 3, I-40126 Bologna, Italy

来源：

DATA IN BRIEF | 2025年 / 59卷

关键词：

Epidemiology; Public health surveillance; Zoonoses; One Health; Disaster planning; Information dissemination; Data spaces; EHDS; ORIGIN;

D O I：

10.1016/j.dib.2025.111332

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Currently, transdisciplinary data from animal surveillance that are available for One Health approaches to public health are scarce, negatively impacting our ability to anticipate and prepare for future public health threats, particularly those involving zoonotic diseases with pandemic or epidemic potential. In this article, we explore the potential of the common European Data Spaces framework to enhance the availability of animal surveillance data, in order to better address public health threats. We propose building upon and expanding existing initiatives, such as the European Data Spaces for Health, Agriculture, and Green Deal, to design innovative services. These services could enable the integration of different data sources to inform research and policymaking on public health interventions. An overarching layer, populated with data and generating integrative information, could support a One Health approach to research and policymaking for the preparedness and anticipation of zoonotic diseases. Consequently, this approach might foster data sharing from Member States by leveraging existing developments within data spaces in terms of, for example, data security. It could also support researchers and developers in accessing trans- disciplinary, stratified, and quality-controlled data for their projects. (c) 2025 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

引用

页数：7