CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Water safety in drought: An indigenous knowledge-based qualitative study
Authors
A. Fatehpanah
K. Jahangiri
+3 more
A. Kavousi
H. Malekinezhad
S.H. Seyedin
Publication date
1 January 2020
Publisher
'IWA Publishing'
Abstract
The indigenous knowledge of our ancestors provides valuable information on how to prevent negative health impacts on water hygiene in the event of drought. The present study aimed to explore the role of indigenous knowledge in maintaining water safety in drought conditions. A qualitative content analysis method using in-depth semi-structured interviews was used to collect and analyze the data. The current research was carried out from April 2017 to June 2018. A purposive sampling method was used to select 15 participants. Trustworthiness was applied with the Lincoln and Guba approach and data were analyzed using Graneheim and Lundman's method. Two categories including drinking water storage and water collection were extracted from the data. Each category includes different strategies to deal with water. Water storage includes water quantity and water quality. Water collection consists of collection methods and rules. Indigenous knowledge is an indispensable component of community disaster resilience. It can be transferred to other communities and employed to empower affected communities. But using the knowledge without scientific considerations cannot guarantee peoples' health throughout the drought periods. © IWA Publishing 2020 Journal of Water and Healt
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
eprints Iran University of Medical Sciences
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:eprints.iums.ac.ir:33900
Last time updated on 11/10/2021