Micanaldo Ernesto Francisco - Google Scholar

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Citations	54	54
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Co-authors

Kozo WatanabeEhime UniversityVerified email at ehime-u.ac.jp
Thaddeus CarvajalDe La Salle UniversityVerified email at dlsu.edu.ph
Divina M. AmalinDe La Salle University, Taft Avenue, Manila, PhilippinesVerified email at dlsu.edu.ph
Masahiro RyoProfessor of Environmental Data Science, Leibniz Centre for Agricultural Landscape ResearchVerified email at zalf.de
Kei NUKAZAWAUniversity of MiyazakiVerified email at cc.miyazaki-u.ac.jp

Micanaldo Ernesto Francisco

Micanaldo Ernesto Francisco

PhD Candidate - Ehime University

Verified email at mails.cc.ehime-u.ac.jp

Epidemiology Machine Learning Remote Sensing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	29	2021
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	24	2020
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	1	2020

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