Miss Samantha Lansdell


NameMiss Samantha Lansdell
ORCIDhttps://orcid.org/0000-0001-9822-7884
Email addressu1817367@uel.ac.uk
Research instituteHealth, Sport & Bioscience

Research outputs

Detection of Rickettsia in ticks using Loop-mediated Isothermal Amplification (LAMP)

Lansdell, S., Hassan, M. M., La Ragione, R., Betson, M., Núncio, M. S., de Carvalho, I. S., Zé-Zé, L., de Sousa, R. and Cutler, S. 2025. Detection of Rickettsia in ticks using Loop-mediated Isothermal Amplification (LAMP). CMI Communications. 2 (2), p. Art. 105069. https://doi.org/10.1016/j.cmicom.2025.105069

Insights into the contribution of multiple factors on Ixodes ricinus abundance across Europe spanning 20 years using different machine learning algorithms

Lansdell, S., Zorto, A., Seto, M., Negera, E., Sharif, S. and Cutler, S. 2025. Insights into the contribution of multiple factors on Ixodes ricinus abundance across Europe spanning 20 years using different machine learning algorithms. Ticks and Tick-borne Diseases. 16 (1), p. Art. 102437. https://doi.org/10.1016/j.ttbdis.2025.102437

Innovative Ensemble Approaches for Assessing Critical Factors for European Tick Abundance

Zorto, A., Lansdell, S., Seto, M., Gobena, E., Cutler, S. and Sharif, S. 2024. Innovative Ensemble Approaches for Assessing Critical Factors for European Tick Abundance. 2024 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. IEEE. https://doi.org/10.1109/3ict64318.2024.10824268

Machine Learning-Based Techniques for Assessing Critical Factors for European Tick Abundance

Zorto, A., Lansdell, S., Seto, M., Negera, E., Sharif, S. and Cutler, S. 2025. Machine Learning-Based Techniques for Assessing Critical Factors for European Tick Abundance. International Journal of Computer Theory and Engineering. 17 (1), pp. 13-20.
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