Követés
Micanaldo Ernesto Francisco
Micanaldo Ernesto Francisco
PhD Candidate - Ehime University
E-mail megerősítve itt: mails.cc.ehime-u.ac.jp
Cím
Hivatkozott rá
Hivatkozott rá
Év
Dengue disease dynamics are modulated by the combined influences of precipitation and landscape: A machine learning approach
ME Francisco, TM Carvajal, M Ryo, K Nukazawa, DM Amalin, ...
Science of The Total Environment 792, 148406, 2021
362021
An integrated mHealth app for dengue reporting and mapping, health communication, and behavior modification: development and assessment of Mozzify
T Karita, ME Francisco, K Watanabe
JMIR formative research 4 (1), e16424, 2020
292020
Dengue disease dynamics are modulated by the combined influence of precipitation and landscapes: a machine learning-based approach
ME Francisco, TM Carvajal, M Ryo, K Nukazawa, DM Amalin, ...
bioRxiv, 2020.09. 01.278713, 2020
22020
Hybrid Machine Learning Approach to Zero-Inflated Data Improves Accuracy of Dengue Prediction
ME Francisco, TM Carvajal, K Watanabe
PLOS Neglected Tropical Diseases 18 (10), e0012599, 2024
2024
Innovative house structures for malaria vector control in Nampula district, Mozambique: Assessing mosquito entry prevention, indoor comfort and community acceptance
ME Francisco, K Watanabe
Frontiers in Public Health 12, 1404493, 2024
2024
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Cikkek 1–5