HomeGood SchoolMapua University researchers develop eSalba disaster early warning tool

Mapua University researchers develop eSalba disaster early warning tool

Cypher Learning
Cypher Learning
Mapua University eSalba
Mapua’s eSalba can be used in mapping health disease outbreaks and other hazards for disaster preparedness of local communities.

Mapua University researchers have developed a new disaster warning tool called eSalba.

The Mapua eSalba is a mobile and web-based application that provides early warning and communication about health disease outbreaks and other hazards for disaster preparedness of local communities.

The eSalba generates data for health vulnerability map of communities, allowing locals, decision-makers, and responders to view populations that are most vulnerable to health-related outcomes brought by disasters and other socioeconomic factors.

Mapua University’s research team led by Dr. Delia Senoro enables locals to report an incident to authorities, thereby allowing quicker and more coordinated disaster response of LGUs as it provides locations of reporters, responders, evacuation, and health centers in the community.

The Department of Science and Technology-Philippine Council for Health Research and Development (DOST-PCHRD) reported on July 17, 2020, that the eSalba is set to be used by the Development of Health Index: Vulnerability to Extreme Environmental Events (D-HIVE) for Marinduque Island and funded under the Disaster Risk Reduction and Climate Change Adaptation (DRR-CCA) research program of PCHRD.

Marinduque communities will benefit from the eSalba before September 2020. The app underwent its first test run last June 29 which was participated in by 42 Marinduque locals composed of barangay officials, local health workers, SK Chairperson, MDRRMO staff, and D-HIVE Team.

DOST initiatives to address the need for disaster resilience in the Philippines include setting up a disaster response simulation lab at the University of the Philippines Manila and the development of PAGASA’s new method to forecast storms two weeks in advance.

SEND CHEERS in the comments below to Mapua University researchers for developing the eSalba disaster early warning tool.

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Angie Quadra-Balibay
Angie Quadra-Balibay
Angie is a self-confessed reformed news critic who vows she has finally found infinite value in delivering the good news. She teaches students of all ages how to make the important interesting for audiences across media platforms.

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