Published May 4, 2013 | Version v1
Journal article Open

Community-Based Early Warning Systems in Coastal Ghana Villages: Implementation Outcomes and Effectiveness Study

  • 1. Food Research Institute (FRI)
  • 2. Department of Advanced Studies, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi
  • 3. Department of Research, Food Research Institute (FRI)

Description

Community-based early warning systems (EWS) are crucial for enhancing resilience against natural disasters such as cyclones in coastal areas of Ghana. The effectiveness of these systems is often under-researched, particularly in terms of their implementation outcomes and community engagement. The study employs a combination of qualitative interviews with local leaders and quantitative surveys among village residents. Data collection was conducted from December to March . A notable finding is the significant increase in community awareness regarding cyclone risks, with over 75% of respondents indicating improved understanding after system implementation. Community engagement varied, with a higher proportion (60%) in villages that received additional training and support from local authorities. The early warning systems have effectively enhanced community preparedness for cyclones, though there is room for improvement in ensuring consistent participation and feedback mechanisms. Local authorities should prioritise continuous engagement and regular updates to sustain the effectiveness of these systems. Enhanced training programmes are recommended to address variability in community response rates.

Files

zenodo.18997239.pdf

Files (98.1 kB)

Name Size Download all
md5:777f5dbc2bce5fe9b99906f0f0c9d5c7
17.8 kB Download
md5:5e6cb8a5ac7d7a980103b12977d26ac4
80.3 kB Preview Download