Providing Malaria Analytics as a Service

Marcos Barreto, Juracy Bertoldo, Alberto Sironi, Vanderson Sampaio

Abstract

Malaria is still a worrying disease worldwide, being responsible for around 219 million cases reported in 2017 and around 435,000 deaths a year. The consensus among researchers, governmental bodies and health professionals is that many countries have relapsed their investments and surveillance actions after a few years of apparent disease reduction. Brazil is within such countries and, consequently, is presenting a constant increase in the number of reported cases since 2016 (more than 20% a year). Given this context, the National Malaria Control Program (NMCP) promotes several actions to redirect the country towards the malaria elimination path. Among such actions, the improvement of the surveillance ecosystem is considered crucial to allow efficacy of control actions, including vector control as well as early diagnosis and prompt treatment. In this paper, we present our efforts in designing a visual mining tool allowing descriptive and predictive analytics over an integrated database comprising malaria surveillance data, climate and vector control data. This tool has been used as a “data service” by NMCP and partner researchers for validation purposes. So far, our results have demonstrated that surveillance and combat actions can be highly improved by using this tool.

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Paper Citation


in Harvard Style

Barreto M., Bertoldo J., Sironi A. and Sampaio V. (2019). Providing Malaria Analytics as a Service.In Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-365-0, pages 515-522. DOI: 10.5220/0007765205150522


in Bibtex Style

@conference{closer19,
author={Marcos Barreto and Juracy Bertoldo and Alberto Sironi and Vanderson Sampaio},
title={Providing Malaria Analytics as a Service},
booktitle={Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2019},
pages={515-522},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007765205150522},
isbn={978-989-758-365-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Providing Malaria Analytics as a Service
SN - 978-989-758-365-0
AU - Barreto M.
AU - Bertoldo J.
AU - Sironi A.
AU - Sampaio V.
PY - 2019
SP - 515
EP - 522
DO - 10.5220/0007765205150522