@article{05d29ead86e5470fa5a31fa2e30effe2,
title = "Towards a predictive analytics-based intelligent malaria outbreakwarning system",
keywords = "Climatic factors, Machine learning, Malaria, Mobile application, Partial least squares model, Prediction, Structural equation modelling",
author = "Babagana Modu and Nereida Polovina and Yang Lan and Savas Konur and {Taufiq Asyhari}, A. and Yonghong Peng",
note = "Funding Information: Acknowledgments: The authors would like to thank National Centre for Environmental Prediction (NCEP), for their support in providing this work with relevant meteorological data. The author B.M. would like to thank Tertiary Education Trust Fund (tetFund), Nigeria for sponsoring his Ph.D. programme at the University of Bradford, UK. Y.L and S.K. acknowledge Innovate UK KTP010551 grant. Publisher Copyright: {\textcopyright} 2017 by the authors.",
year = "2017",
month = aug,
day = "17",
doi = "10.3390/app7080836",
language = "English",
volume = "7",
journal = "Applied Sciences (Switzerland)",
issn = "2076-3417",
publisher = "MDPI",
number = "8",
}