ArticleBMC ecology2011
Ecological niche modelling of the Bacillus anthracis A1.a sub-lineage in Kazakhstan.
Article in BMC ecology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 50 citations in OpenAlex.
- Spatiotemporal epidemiology of livestock anthrax in Kazakhstan and analysis of potential contributing factors from 2015 to 2024.Scientific reports · 2026Article
- Spatial and Temporal Patterns ofGeoHealth · 2026Article
- Drivers and potential distribution of anthrax occurrence and incidence at national and sub-county levels across Kenya from 2006 to 2020 using INLA.Scientific reports · 2022Article
- The potential distribution of Bacillus anthracis suitability across Uganda using INLA.Scientific reports · 2022Article
- Spatiotemporal Patterns of Anthrax, Vietnam, 1990-2015.Emerging infectious diseases · 2022Article
- Ecological Niche Model ofPathogens (Basel, Switzerland) · 2022Article
- An Estimate of Global Anthrax Prevalence in Livestock: A Meta-analysis.Veterinary world · 2021Article
- Article
- Knowledge, attitude and practice towards anthrax in northern Ethiopia: a mixed approach study.BMC infectious diseases · 2020Article
- Predicting the Geographic Distribution of theThe American journal of tropical medicine and hygiene · 2020Article
- Article
- The global distribution of Bacillus anthracis and associated anthrax risk to humans, livestock and wildlife.Nature microbiology · 2019Article
- ModelingInternational journal of environmental research and public health · 2019Review
- Ecological niche modeling the potential geographic distribution of four Culicoides species of veterinary significance in Florida, USA.PloS one · 2019Article
- Modeling the Ecological Niche ofThe American journal of tropical medicine and hygiene · 2017Article
- Environmental factors associated with the distribution of visceral leishmaniasis in endemic areas of Bangladesh: modeling the ecological niche.Tropical medicine and health · 2017Article
- Predicting Disease Risk, Identifying Stakeholders, and Informing Control Strategies: A Case Study of Anthrax in Montana.EcoHealth · 2016Article
- Redefining the Australian Anthrax Belt: Modeling the Ecological Niche and Predicting the Geographic Distribution of Bacillus anthracis.PLoS neglected tropical diseases · 2016Article
- Mapping the Distribution of Anthrax in Mainland China, 2005-2013.PLoS neglected tropical diseases · 2016Article
- Elk Resource Selection and Implications for Anthrax Management in Montana.The Journal of wildlife management · 2016Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBacillus anthracis, the causative agent of anthrax, is a globally distributed zoonotic pathogen that continues to be a veterinary and human health problem in Central Asia. We used a database of anthrax outbreak locations in Kazakhstan and a subset of genotyped isolates to model the geographic distribution and ecological associations of B. anthracis in Kazakhstan. The aims of the study were to test the influence of soil variables on a previous ecological niche based prediction of B. anthracis in Kazakhstan and to determine if a single sub-lineage of B. anthracis occupies a unique ecological niche.
resultsThe addition of soil variables to the previously developed ecological niche model did not appreciably alter the limits of the predicted geographic or ecological distribution of B. anthracis in Kazakhstan. The A1.a experiment predicted the sub-lineage to be present over a larger geographic area than did the outbreak based experiment containing multiple lineages. Within the geographic area predicted to be suitable for B. anthracis by all ten best subset models, the A1.a sub-lineage was associated with a wider range of ecological tolerances than the outbreak-soil experiment. Analysis of rule types showed that logit rules predominate in the outbreak-soil experiment and range rules in the A1.a sub-lineage experiment. Random sub-setting of locality points suggests that models of B. anthracis distribution may be sensitive to sample size.
conclusionsOur analysis supports careful consideration of the taxonomic resolution of data used to create ecological niche models. Further investigations into the environmental affinities of individual lineages and sub-lineages of B. anthracis will be useful in understanding the ecology of the disease at large and small scales. With model based predictions serving as approximations of disease risk, these efforts will improve the efficacy of public health interventions for anthrax prevention and control.
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