Assessing and forecasting dengue risk with hydrological data

Jacopo Margutti; M. van den Homberg; Fleur Hierink; Nicolas Ray

doi:10.5194/egusphere-egu22-2648

Abstract

We introduce a methodology to assess and forecast the risk of mosquito-borne diseases using open hydrological and socio-economic data, with a specific focus on scalability, i.e. applicability to countries where limited data is available. We apply this methodology to assess and forecast the risk of dengue in the Philippines. We embedded this model into a full Early-Warning Early-Action system, which includes a web portal to convey the information to disaster managers and a set of pre-defined preventive actions, to mitigate the impact of potential outbreaks. This system has been developed in collaboration with the Philippines Red Cross, which is now adopting it.

Original language	English
DOIs	https://doi.org/10.5194/egusphere-egu22-2648
Publication status	Published - 27 Mar 2022
Externally published	Yes
Event	EGU General Assembly 2022 - Vienna, Austria Duration: 23 May 2022 → 27 May 2022

Conference

Conference	EGU General Assembly 2022
Abbreviated title	EGU 2022
Country/Territory	Austria
City	Vienna
Period	23/05/22 → 27/05/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

ITC-CV

Access to Document

10.5194/egusphere-egu22-2648Licence: CC BY

Cite this

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AU - Hierink, Fleur

AU - Ray, Nicolas

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N2 - We introduce a methodology to assess and forecast the risk of mosquito-borne diseases using open hydrological and socio-economic data, with a specific focus on scalability, i.e. applicability to countries where limited data is available. We apply this methodology to assess and forecast the risk of dengue in the Philippines. We embedded this model into a full Early-Warning Early-Action system, which includes a web portal to convey the information to disaster managers and a set of pre-defined preventive actions, to mitigate the impact of potential outbreaks. This system has been developed in collaboration with the Philippines Red Cross, which is now adopting it.

AB - We introduce a methodology to assess and forecast the risk of mosquito-borne diseases using open hydrological and socio-economic data, with a specific focus on scalability, i.e. applicability to countries where limited data is available. We apply this methodology to assess and forecast the risk of dengue in the Philippines. We embedded this model into a full Early-Warning Early-Action system, which includes a web portal to convey the information to disaster managers and a set of pre-defined preventive actions, to mitigate the impact of potential outbreaks. This system has been developed in collaboration with the Philippines Red Cross, which is now adopting it.

KW - ITC-CV

U2 - 10.5194/egusphere-egu22-2648

DO - 10.5194/egusphere-egu22-2648

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