Advanced Early Dengue Prediction and Exploration Service (AEDES)

Ligot, D.V., Toledo, M. (2021). Advanced Early Dengue Prediction and Exploration Service (AEDES). Academia Letters, Article 2956. https://doi.org/10.20935/AL2956

10 Pages Posted: 12 Aug 2021 Last revised: 10 Sep 2021

See all articles by Dominic Vincent Ligot

Dominic Vincent Ligot

CirroLytix Research Services; Data Ethics PH

Mark Toledo

Cirrolytix

Date Written: August 4, 2021

Abstract

This paper presents Project AEDES, a big data early warning, and surveillance system for dengue. The project utilizes Google Search Trends to detect public interest and panics related to dengue. Using Google Search Trends, precipitation, and temperature readings from climate data, the system nowcasts probable dengue cases and dengue-related deaths. The system utilizes FAPAR, NDVI, and NDWI readings from remote sensing to detect likely mosquito hotspots to prioritize interventions. We discuss the origin and development of the project and recent developments. We also discuss the current state of development and directions for further work.

Keywords: dengue, FAPAR, NDWI, NDVI, Google Search Trends, remote sensing, social listening

JEL Classification: C63, I12

Suggested Citation

Ligot, Dominic Vincent and Toledo, Mark, Advanced Early Dengue Prediction and Exploration Service (AEDES) (August 4, 2021). Ligot, D.V., Toledo, M. (2021). Advanced Early Dengue Prediction and Exploration Service (AEDES). Academia Letters, Article 2956. https://doi.org/10.20935/AL2956 , Available at SSRN: https://ssrn.com/abstract=3902598 or http://dx.doi.org/10.2139/ssrn.3902598

Dominic Vincent Ligot (Contact Author)

CirroLytix Research Services ( email )

Pasig City
Philippines

HOME PAGE: http://cirrolytix.com

Data Ethics PH ( email )

Pasig City
Philippines

HOME PAGE: http://www.ethics.ph

Mark Toledo

Cirrolytix ( email )

Pasig City
Philippines

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