ArticleEmerging infectious diseases2016
Molecular Characterization of Canine Rabies Virus, Mali, 2006-2013.
Article in Emerging infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
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Who cites it
5 citing papers in PubMed.
- Holistic application of the one health approach in the prevention and control of rabies: plausible steps towards achieving the 2030 vision in Africa.One health outlook · 2024Review
- Rabies surveillance and prevention in Guinea: Epidemiological data and postexposure prophylaxis challenges.Veterinary world · 2024Article
- Comparison of Pan-Lyssavirus RT-PCRs and Development of an Improved Protocol for Surveillance of Non-RABV Lyssaviruses.Viruses · 2023Article
- Enabling animal rabies diagnostic in low-access areas: Sensitivity and specificity of a molecular diagnostic test from cerebral tissue dried on filter paper.PLoS neglected tropical diseases · 2020Article
- Molecular characterization and phylogenetic relatedness of dog-derived Rabies Viruses circulating in Cameroon between 2010 and 2016.PLoS neglected tropical diseases · 2017Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We genetically characterized 32 canine rabies viruses isolated in Mali during 2006-2013 and identified 3 subgroups that belonged to the Africa 2 lineage. We also detected subgroup F rabies virus. This information should be useful for development of mass vaccination campaigns for dogs and eventual large-scale control programs in this country.
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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.