Environmental and Historical Determinants of African Horse Sickness: Insights from Predictive Modeling
Kim, K.; Xu, T.; Kannan Villalan, A.; Chi, T.; Yu, X.; Jin, M.; Wu, R.; Ni, G.; Sui, S.; Wang, Z.; Wang, X.
Show abstract
This study marks a pioneering effort in analyzing the global epidemiological patterns of African Horse Sickness (AHS) across different regions. By employing predictive modeling with a comprehensive set of environmental variables, we uncovered overarching global patterns in AHS dynamics, a first in this field. Our analysis revealed significant regional differences influenced by specific climatic conditions, highlighting the diseases complexity. The study also identifies new high-risk areas for AHS, underscoring the necessity for regionally tailored disease management strategies. Despite some limitations, such as the exclusion of wild equine data, this research offers critical insights for global AHS intervention and prevention, setting a path for future research incorporating broader datasets and socio-economic factors. Author SummaryAHS presents a significant challenge to the global equine industry, impacting both health and economic aspects. Our study highlights the profound effect of climate change, particularly the frequency of extreme climatic events including temperature and humidity variations, on the transmission dynamics of diseases like AHS. In our research, we focused on overcoming the challenges associated with identifying key environmental factors and determining the appropriate geographic scale for a comprehensive global understanding of AHS. Our aim was to bridge existing knowledge gaps and elucidate the fundamental principles governing AHS transmission. This study establishes a solid foundation for understanding the intricate dynamics of AHS and offers practical pathways for conservation efforts. It emphasizes the urgent need for environmentally conscious strategies to protect horse populations and the industries dependent on them. By highlighting the relationship between environmental factors, vector presence, and AHS transmission, our research underscores the importance of a holistic approach to disease mitigation. In conclusion, the findings of our study not only contribute to the scientific understanding of AHS but also serve as a guide for policymakers and practitioners in developing effective strategies for disease management and prevention, tailored to the specific environmental conditions and challenges faced in different regions around the world.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 the yellow fever and Mayaro virus vector, in South America 97%
- Global patterns of aegyptism without arbovirus 96%
- Mapping the risk of Rift Valley fever in Uganda using national seroprevalence data from cattle, sheep and goats 96%
Similar papers in this journal
- Trends in mosquito species distribution modeling: insights for vector surveillance and disease control 95%
- Household-Level Risk Factors for Aedes aegypti Pupal Density in Guayaquil, Ecuador 95%
- Modelling the impact of climate change on the distribution and abundance of tsetse in Northern Zimbabwe 95%
Similar papers in this journal
- Dynamics of data availability in disease modeling: An example evaluating the trade-offs of ultra-fine-scale factors applied to human West Nile virus disease models in the Chicago area, USA 96%
- The drivers of West Nile virus human illness: fine scale dynamic effects of weather, mosquito infection, social, and biological conditions 96%
- Assessing the potential of plains zebra to maintain African horse sickness in the Western Cape Province, South Africa 96%
Similar papers in this journal
- Machine learning for predicting severe dengue, Puerto Rico 94%
- Dirofilaria immitis and D. repens in Europe: a systematic literature review on vectors, host range, and the spatial distribution in the 20th and 21st century 94%
- The relative transmissibility of shigellosis among male and female individuals in Hubei Province, China: a modelling study 93%
Similar papers in this journal
- Microclimate and larval habitat density predict adult Aedes albopictus abundance in urban areas 95%
- Spatiotemporal tools for emerging and endemic disease hotspots in small areas--an analysis of dengue and chikungunya in Barbados, 2013 - 2016 95%
- Early-evening biting by Anopheles stephensi in Southern Ethiopia: A Challenge for Bed Net Use as Vector Control in Africa 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.