Aisha Aldosery

• Supervisor: Patty Kostkova
• Funding: Royal Embassy of Saudi Arabia Cultural Bureau
• Email: a.aldosery@ucl.ac.uk

Internet of Things (IoT) based Surveillance System for Predicting Areas that are High- risk of Mosquito Infestation: A Case Study of Mosquitoes Surveillance at Brazil

This research aims to implement an IoT-Based surveillance system to predict the sensor-based areas that are at high-risk of mosquito infestation using surveillance mobile application and Machine Learning models, which considers the impact of the weather conditions and water parameters over a fine spatiotemporal scale.

Academic publications:

1. https://www.frontiersin.org/articles/10.3389/fpubh.2021.716333/full
2. https://link.springer.com/article/10.1007/s11356-021-15984-y
3. https://rsdjournal.org/index.php/rsd/article/view/20804
4. https://www.researchgate.net/profile/Iuri-Borges/publication/354424097_Zika_virus_in_Brazil_a_preliminary_study_about_the_influence_of_meteorological_variables_on_the_number_of_cases_using_statistical_modelling/links/6137e3a9637a811d6d582bd6/Zika-virus-in-Brazil-a-preliminary-study-about-the-influence-of-meteorological-variables-on-the-number-of-cases-using-statistical-modelling.pdf