Skip to main navigation Skip to search Skip to main content

Development of system-based digital decision support (“Pocket Ark”) for post-flood enhanced response coordination and worker safety: an Intervention Mapping approach

  • William Brett Perkison
  • , Ross Shegog
  • , Dejian Lai
  • , Saswati Upadhyay
  • , Geethika Yalavarthy
  • , Rosalia Guerrero-Luera
  • , Patenne D. Mathews
  • , Janelle Rios
  • , Ritesh Mehta
  • , Jeffery McLaughlin
  • , Ismail Nabeel

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Background: The health and safety of workers who work in areas severely damaged by natural weather events (reconstruction workers) is becoming an increasingly important health problem as these disasters increase in intensity and frequency. An evidence-based, innovative e-learning tool, Pocket Ark, has been developed to meet this need. Methods: Intervention Mapping, an iterative public health programming methodology, was used to create strategies designed to support the development and implementation of the Pocket Ark application for the health and safety of reconstruction workers before, after, and during natural disasters. Discussion: The development of an evidence-based application, Pocket Ark, uses the concept of the Intervention Mapping planning framework. It can be an effective bridge of pre-deployment education, deployment health, and safety support for the reconstruction work in the immediate post-disaster environment.

Original languageEnglish
Article number1368077
JournalFrontiers in Environmental Health
Volume3
DOIs
StatePublished - 2024

Keywords

  • Intervention Mapping
  • climate change
  • flooding
  • health and safety
  • post-disaster deployment
  • reconstruction worker
  • security
  • worker education

Fingerprint

Dive into the research topics of 'Development of system-based digital decision support (“Pocket Ark”) for post-flood enhanced response coordination and worker safety: an Intervention Mapping approach'. Together they form a unique fingerprint.

Cite this