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Aisha Aldosery
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The response of governments and public health agencies to COVID-19 pandemics on social media: a multi-country analysis of twitter discourse
L Li, A Aldosery, F Vitiugin, N Nathan, D Novillo-Ortiz, C Castillo, ...
Frontiers in Public Health 9, 716333, 2021
242021
A review exploring the overarching burden of Zika virus with emphasis on epidemiological case studies from Brazil
M Tunali, AA Radin, S Başıbüyük, A Musah, IVG Borges, O Yenigun, ...
Environmental Science and Pollution Research, 1-15, 2021
112021
An evaluation of the OpenWeatherMap API versus INMET using weather data from two Brazilian cities: Recife and Campina Grande
A Musah, LMM Dutra, A Aldosery, E Browning, T Ambrizzi, IVG Borges, ...
Data 7 (8), 106, 2022
102022
Temporal and spatiotemporal arboviruses forecasting by machine learning: a systematic review
CL Lima, ACG da Silva, GMM Moreno, C Cordeiro da Silva, A Musah, ...
Frontiers in Public Health 10, 900077, 2022
62022
MEWAR: development of a cross-platform Mobile application and web dashboard system for real-time mosquito surveillance in Northeast Brazil
A Aldosery, A Musah, G Birjovanu, G Moreno, A Boscor, L Dutra, G Santos, ...
Frontiers in public health 9, 754072, 2021
62021
Intelligent systems for dengue, chikungunya, and zika temporal and spatio-temporal forecasting: a contribution and a brief review
CL de Lima, ACG da Silva, CC da Silva, GMM Moreno, AG da Silva Filho, ...
Assessing COVID-19 and Other Pandemics and Epidemics using Computational …, 2022
42022
Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning
CCD Silva, CLD Lima, A Silva, GMM Moreno, A Musah, A Aldosery, ...
Research, Society and Development 10 (12), 2021
42021
Spatiotemporal forecasting for dengue, chikungunya fever and Zika using machine learning and artificial expert committees based on meta-heuristics
CC da Silva, CL de Lima, ACG da Silva, GMM Moreno, A Musah, ...
Research on Biomedical Engineering 38 (2), 499-537, 2022
22022
Coalescing disparate data sources for the geospatial prediction of mosquito abundance, using Brazil as a motivating case study
A Musah, E Browning, A Aldosery, I Valerio Graciano Borges, T Ambrizzi, ...
Frontiers in Tropical Diseases 4, 1039735, 2023
12023
Enhancing public health response: a framework for topics and sentiment analysis of COVID-19 in the UK using Twitter and the embedded topic model
A Aldosery, R Carruthers, K Kay, C Cave, P Reynolds, P Kostkova
Frontiers in Public Health 12, 1105383, 2024
2024
Low credibility URL sharing on Twitter during reporting linking rare blood clots with the Oxford/AstraZeneca COVID-19 vaccine
A Hobbs, A Aldosery, P Kostkova
Plos one 19 (1), e0296444, 2024
2024
OPEN ACCESS EDITED BY
M Okpeku, SA Ali, RM García, C Unnithan, A Musah, A Musah, ...
Control and prevention of tropical diseases by advanced tools and the One …, 2023
2023
Mosquito Ovitraps IoT Sensing System (MOISS): Internet of Things-based System for Continuous, Real-Time and Autonomous Environment Monitoring
A Aldosery, D Vasconcelos, M Ribeiro, N Nunes, P Kostkova
2022 IEEE 8th World Forum on Internet of Things (WF-IoT), 1-8, 2022
2022
Prediction of Aedes aegypti breeding distribution through spatiotemporal analysis and machine learning: A case study in Recife, Pernambuco
CL de Lima, CC da Silva, ACG da Silva, AA da Silva, FR de Almeida, ...
2022
An Evaluation of the OpenWeatherMap API versus INMET Using Weather Data from Two Brazilian Cities: Recife and Campina Grande. Data 2022, 7, 106
A Musah, LMM Dutra, A Aldosery, E Browning, T Ambrizzi, IVG Borges, ...
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
Zika virus in Brazil: a preliminary study about the influence of meteorological variables on the number of cases using statistical modelling
IVG Borges, A Musah, L Dutra, A Aldosery, C Lins de Lima, GMM Moreno, ...
University of Exeter, 2021
2021
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Articles 1–16