<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<component xmlns="https://zibelinepub.com" version="1.0.2" type="journal" xml:lang="en">
<header>
<publicationMeta level="journal">
			<publisherInfo>
				<publisherName>Zibeline International Publishing</publisherName>
				<publisherLoc>Malaysia,China,Pakistan,UAE</publisherLoc>
			</publisherInfo>
			
			<doi origin="razipublishing" registered="yes">10.26480/seps.01.2026.14.22</doi>
			
			<issn type="online">2785-8715</issn>
		
			<titleGroup>
				<title type="subject" xml:lang="en" sort="Socio Economy and Policy Studies">Socio Economy and Policy Studies</title>
				<title type="title">EVALUATING THE COST EFFICIENCY OF LABORATORY-BASED WATER QUALITY TESTING AND ITS ECONOMIC BENEFITS FOR RURAL COMMUNITIES</title>
			</titleGroup>
			
			<copyright ownership="publisher">Copyright © 2017 Zibeline International Publishing</copyright>
			
			<eventGroup>
				<event type="publication_date" date="09-02-2026"/>
			</eventGroup>
	
			<creators>
				<creator xml:id="IJO" creatorRole="editor">
					<personName>
						<editorNames>Ijagwu Joy Onyeche</editorNames>
					</personName>
				</creator>
				<creator xml:id="OFO" creatorRole="editor">
					<personName>
						<editorNames>Onum Friday Okoh</editorNames>
					</personName>
				</creator>
				<creator xml:id="LSO" creatorRole="editor">
					<personName>
						<editorNames>Lotachukwu S. Onwuegbusic</editorNames>
					</personName>
				</creator>
			</creators>
			
</publicationMeta>

		<citation_keywords>
		    <keyword>Water quality testing, Cost efficiency, Rural communities, Economic benefits, Public health</keyword>
		</citation_keywords>
			
		<citation_pdfformat>
		     <pdf_url>https://seps.com/archives/1seps2026/1seps2026-14-22.pdf</pdf_url>
	    </citation_pdfformat>
	   
	   <citation_XMLformat>
	         <xml_url>https://seps.com/xml/1seps2026/1seps2026-14-22.xml</xml_url>
	   </citation_XMLformat>
	   
	   <citation_volume>
	       <volume>6</volume>
	   </citation_volume>
	   
	   <citation_issue>
	        <issue>1</issue>
	   </citation_issue>
	   
	   <citation_pages>
	      <pages>14-22</pages>
	   </citation_pages>  
	   
	   <citation_fulltext_html>
	       <fulltext_html>https://seps.com/seps-01-2026-14-22/</fulltext_html>
	    </citation_fulltext_html>
		
<abstractGroup>

			<abstract type="main" xml:lang="en">
			<title type="main">Summary</title>
			
					<p>Availability of safe and clean water is one of the most important determinants of individual health and economic wellbeing in rural settlements. Water quality testing carried out in laboratories is crucial in detection of water contaminants and assuring potable water to the rural population, however, its cost effectiveness and vast advantages to the economy is a topic that is not frequently examined. This research appraises the cost effectiveness of the water quality analysis that is conducted in laboratories as well as the role it plays in influencing the economic welfare of rural populations. The study focuses on highlighting the importance of making the connexion between preventive health and economic sustainability, and it is in this light that regular water testing reduces healthcare spending attributed to water-borne diseases and increases productivity due to the better health outcomes of the people. Furthermore, the laboratory diagnostics implemented in the water management issues facilitate effective resources distribution, lower the expenses of maintenance systems, and help environmental sustainability. The economic gains include increased agricultural productivity, less expenditure on medical care and development of human capital. Results highlight the need to invest in laboratory infrastructure and training in order to maximize testing accuracy and cost-effectiveness. Finally, the paper recommends policy frameworks, which emphasize the cost-effective laboratory interventions as the key to sustainable rural development and community health improvement, and, to support that the long-term socioeconomic benefits of preventive water quality monitoring are much greater than the initial investment.</p>
			</abstract>

</abstractGroup> 
					
			
</header>
	</component>
			