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Iuri Valério Graciano Borges
Observed names:
Borges, Iuri Valerio Graciano,
Iuri V. G. Borges,
Iuri Valerio Graciano Borges
Institutions:
Ministry of Education,
Universidade de São Paulo,
Coordenação de Aperfeicoamento de Pessoal de Nível Superior,
University College London
Observed institutions:
Ministry of Education,
Universidade de São Paulo,
Coordenação de Aperfeicoamento de Pessoal de Nível Superior,
University College London
ORCID:
0000-0001-9274-6309
Observed ORCID:
0000-0001-9274-6309
OpenAlex ID:
A5085171610
Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review
2022
·
Clarisse Lins de Lima
, Ana Clara Gomes da Silva
, et al.
·
Frontiers in Public Health
·
27
PDF
A review exploring the overarching burden of Zika virus with emphasis on epidemiological case studies from Brazil
2021
·
Merve Tunali
, Alexandro André Radin
, et al.
·
Environmental Science and Pollution Research
·
22
PDF
An Evaluation of the OpenWeatherMap API versus INMET Using Weather Data from Two Brazilian Cities: Recife and Campina Grande
2022
·
Anwar Musah
, Livia Màrcia Mosso Dutra
, et al.
·
Data
·
19
PDF
Spatiotemporal forecasting for dengue, chikungunya fever and Zika using machine learning and artificial expert committees based on meta-heuristics
2022
·
Cecilia Cordeiro da Silva
, Clarisse Lins de Lima
, et al.
·
Research on Biomedical Engineering
·
16
Brazil climate highlights 2023
2025
·
Luana Albertani Pampuch
, Paola Gimenes Bueno
, et al.
·
Annals of the New York Academy of Sciences
·
13
PDF
Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning
2021
·
Cecilia Cordeiro da Silva
, Clarisse Lins de Lima
, et al.
·
Research Society and Development
·
13
PDF
Analysis of the interrelationship between precipitation and confirmed dengue cases in the city of Recife (Brazil) covering climate and public health information
2024
·
Iuri Valerio Graciano Borges
, Anwar Musah
, et al.
·
Frontiers in Public Health
·
12
PDF
Coalescing disparate data sources for the geospatial prediction of mosquito abundance, using Brazil as a motivating case study
2023
·
Anwar Musah
, Ella Browning
, et al.
·
Frontiers in Tropical Diseases
·
8
PDF
Intelligent Systems for Dengue, Chikungunya, and Zika Temporal and Spatio-Temporal Forecasting: A Contribution and a Brief Review
2021
·
Clarisse Lins de Lima
, Ana Clara Gomes da Silva
, et al.
·
Springer eBooks
·
5
Grupo de estudos climáticos
2023
·
Paola Gimenes Bueno
, Amanda Rehbein
, et al.
·
Terrae Didatica
·
3
Prediction of Aedes aegypti breeding distribution through spatiotemporal analysis and machine learning: A case study in Recife, Pernambuco
2022
·
Clarisse Lins de Lima
, Cecilia Cordeiro da Silva
, et al.
·
Research Square
·
2
PDF
Climate and environmental drivers of dengue expansion in São Paulo, Brazil: An ecological niche modelling approach
2025
·
Iuri Valerio Graciano Borges
, Tercio Ambrizzi
, et al.
·
Remote Sensing Applications Society and Environment
Dengue em Recife: análise da inter-relação entre a precipitação e os casos confirmados sob uma perspectiva climática, geográfica e de saúde pública
2022
·
Iuri Valerio Graciano Borges
·
Digital Library of Theses and Dissertations (Universidade de São Paulo)
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Works count:
15
Citation count:
140
H-index:
8
I10-index:
7
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