RT Journal Article SR Electronic T1 SISS-Geo: Leveraging Citizen Science to Monitor Wildlife Health Risks in Brazil JF bioRxiv FD Cold Spring Harbor Laboratory SP 286740 DO 10.1101/286740 A1 Chame, Marcia A1 Barbosa, Helio J. C. A1 Gadelha, Luiz M. R. A1 Augusto, Douglas A. A1 Krempser, Eduardo A1 Abdalla, Livia YR 2018 UL http://biorxiv.org/content/early/2018/03/23/286740.abstract AB The well-being of wildlife health involves many challenges, such as monitoring the movement of pathogens; expanding health surveillance beyond humans; collecting data and extracting information to identify and predict risks; integrating specialists from different areas to handle data, species and distinct social and environmental contexts; and, the commitment to bringing relevant information to society. In Brazil, there is still the difficulty of building a mechanism that is not impaired by its large territorial extension and its poorly integrated sectoral policies. The Brazilian Wildlife Health Information System, SISS-Geo, is a platform for collaborative monitoring that intends to overcome the challenges in wildlife health. It aims integration and participation of various segments of society, encompassing: the registration of occurrences by citizen scientists; the reliable diagnosis of pathogens from the laboratory and expert networks; and computational and mathematical challenges in analytical and predictive systems, knowledge extraction, data integration and visualization, and geographic information systems. It has been successfully applied to support decision-making on recent wildlife health events, such as a Yellow Fever epizooty.