ArticleJournal of healthcare informatics research2019
SISS-Geo: Leveraging Citizen Science to Monitor Wildlife Health Risks in Brazil.
Article in Journal of healthcare informatics research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks.International journal of health geographics · 2018Pooled it
- Strengthening biodiversity conservation and One Health through ranger monitoring of wildlife health in protected areas.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- Evolution and spillover dynamics of yellow fever at the forest-urban interface in Brazil.Nature microbiology · 2026Article
- Yellow fever virus resurgence in Sao Paulo State, Brazil, 2024-2025.Revista do Instituto de Medicina Tropical de Sao Paulo · 2026Article
- Popular health surveillance in the face of climate emergencies.PLOS global public health · 2026Review
- Article
- Advances in rapid detection technologies for zoonotic diseases: a one health-oriented review.Frontiers in cellular and infection microbiology · 2026Review
- Mechanistic yellow fever modelling under climate change in Brazil and beyond: Information gaps and future steps.Wellcome open research · 2025Article
- High Frequencies ofPathogens (Basel, Switzerland) · 2024Article
- Integrating databases for spatial analysis of parasite-host associations and the novel Brazilian dataset.Scientific data · 2023Article
- The contribution ofParasitology · 2023Review
- Statistically enriched geospatial datasets of Brazilian municipalities for data-driven modeling.Scientific data · 2022Article
- Fast surveillance response reveals the introduction of a new yellow fever virus sub-lineage in 2021, in Minas Gerais, Brazil.Memorias do Instituto Oswaldo Cruz · 2022Article
- Examining the paradox of urban disease ecology by linking the perspectives of Urban One Health and Ecology with Cities.Urban ecosystems · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The well-being of human and wildlife health involves many challenges, such as monitoring the movement of pathogens; expanding health surveillance; 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 system that is not impaired by its large territorial extension and its poorly integrated sectoral policies. The Brazilian Wildlife Health Information System, SISS-Geo (SISS-Geo is the abbreviation of "
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.