PT  - JOURNAL ARTICLE
AU  - Marcia Chame
AU  - Helio J. C. Barbosa
AU  - Luiz M. R. Gadelha, Jr.
AU  - Douglas A. Augusto
AU  - Eduardo Krempser
AU  - Livia Abdalla
TI  - SISS-Geo: Leveraging Citizen Science to Monitor Wildlife Health Risks in Brazil
AID  - 10.1101/286740
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 286740
4099  - http://biorxiv.org/content/early/2018/03/23/286740.short
4100  - http://biorxiv.org/content/early/2018/03/23/286740.full
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.