The global distribution and the risk prediction of relapsing fever group Borrelia: a data review with modelling analysis
Most Cited Paper
in Vector-borne infectious diseases
18 Months Post-Publication
Class of 2026
“The global distribution and the risk prediction of relapsing fever group Borrelia: a data review with modelling analysis”
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Topics
relapsing fever group Borrelia · Borrelia miyamotoi · Borrelia lonestari · Borrelia crocidurae · Borrelia hermsii · Borrelia recurrentis · Borrelia persica · machine learning algorithms · boosted regression trees · Random forest · least absolute shrinkage and selection operator logistic regression · species distribution modeling · tick vectors · global distribution mapping · disease risk prediction · species distribution modeling · Bioclimatic variables · annual mean temperature · zoonotic transmission · emerging infectious diseases
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Vector-borne infectious diseases Papers, Class of 2026. https://pri.pepkio.com/top-papers/vector-borne-infectious-diseases/2026. Accessed 2026-07-31. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459