Multi-Hazard Identification and Early Warning Systems for Emergency Management: A Review

Philip Ayuba; Aisha B. Hassan; Ibrahim Abayomi Kuti; Gbenga Morenikeji; Idris Mohammed; James Garba Ambafi; Henry Ohiani Ohize

2025, Vol: 2, Issue: 2

2 / 2Current Issue Online First Archive Aims and Scope Abstracting & Indexing

« Previous Article

Review Article
Online Published: 02 Jul 2025

CUJOSTECH. 0; 0(0):

Multi-Hazard Identification and Early Warning Systems for Emergency Management: A Review

Philip Ayuba, Aisha B. Hassan, Ibrahim Abayomi Kuti, Gbenga Morenikeji, Idris Mohammed, James Garba Ambafi, Henry Ohiani Ohize.

Abstract
Multi-Hazard Identification and Early Warning Systems (EWS) are essential in modern emergency management, especially in the face of escalating risks posed by climate change, rapid urbanization, terrorism, and population growth. This review investigates the current state, technological advancements, operational frameworks, and implementation challenges of integrated multi-hazard EWS in Niger State. These systems are designed to detect, assess, and communicate risks from diverse hazards within urban and rural settlements, including floods and pandemics. The study synthesizes global best practices adaptable to the local context of Niger State, emphasizing the importance of healthy and well-planned environments, governance strategies, and the adoption of smart technologies. It underscores the paradigm shift from isolated, single-hazard warning mechanisms to integrated systems capable of addressing cascading and compound risks. It identifies persistent gaps in data integration, community participation, and cross-sectoral coordination, advocating for inclusive, locally relevant, and accessible warning mechanisms. Through the evaluation of critical role of institutional capacity, real-time data analytics, and multi-stakeholder collaboration in strengthening disaster resilience. It also emphasizes the importance of research and development (R&D) and calls for increased investment in adaptive, interoperable early warning infrastructures to support proactive emergency response and long-term risk reduction. The findings provide actionable insights that will give rise to a Niger State Muti-Hazard Early Warning System (NSMEWS) through policymaking, practitioners, and researchers commitment to developing resilient, technology-enabled strategies for disaster risk management in Niger State and similar settings.

Key words: Hazard, Disaster, Early Warning, Emergency, Responses

	ARTICLE TOOLS
	Abstract
	PDF Fulltext
	How to cite this article
	Citation Tools
	Related Records
	Articles by Philip Ayuba Articles by Aisha B. Hassan Articles by Ibrahim Abayomi Kuti Articles by Gbenga Morenikeji Articles by Idris Mohammed Articles by James Garba Ambafi Articles by Henry Ohiani Ohize
	on Google
	on Google Scholar

How to Cite this Article

Pubmed Style

Ayuba P, Hassan AB, Kuti IA, Morenikeji G, Mohammed I, Ambafi JG, Ohize HO. Multi-Hazard Identification and Early Warning Systems for Emergency Management: A Review. CUJOSTECH. Online First: 02 Jul, 2025.

Web Style

Ayuba P, Hassan AB, Kuti IA, Morenikeji G, Mohammed I, Ambafi JG, Ohize HO. Multi-Hazard Identification and Early Warning Systems for Emergency Management: A Review. https://www.cujostech.com.ng/?mno=263467 [Access: July 02, 2025].

AMA (American Medical Association) Style

Ayuba P, Hassan AB, Kuti IA, Morenikeji G, Mohammed I, Ambafi JG, Ohize HO. Multi-Hazard Identification and Early Warning Systems for Emergency Management: A Review. CUJOSTECH. Online First: 02 Jul, 2025.

Vancouver/ICMJE Style

Ayuba P, Hassan AB, Kuti IA, Morenikeji G, Mohammed I, Ambafi JG, Ohize HO. Multi-Hazard Identification and Early Warning Systems for Emergency Management: A Review. CUJOSTECH, [cited July 02, 2025]; Online First: 02 Jul, 2025.

Harvard Style

Ayuba, P., Hassan, . A. B., Kuti, . I. A., Morenikeji, . G., Mohammed, . I., Ambafi, . J. G. & Ohize, . H. O. (0) Multi-Hazard Identification and Early Warning Systems for Emergency Management: A Review. CUJOSTECH, Online First: 02 Jul, 2025.

Turabian Style

Ayuba, Philip, Aisha B. Hassan, Ibrahim Abayomi Kuti, Gbenga Morenikeji, Idris Mohammed, James Garba Ambafi, and Henry Ohiani Ohize. 0. Multi-Hazard Identification and Early Warning Systems for Emergency Management: A Review. Confluence University Journal of Science and Technology, Online First: 02 Jul, 2025.

Chicago Style

Ayuba, Philip, Aisha B. Hassan, Ibrahim Abayomi Kuti, Gbenga Morenikeji, Idris Mohammed, James Garba Ambafi, and Henry Ohiani Ohize. "Multi-Hazard Identification and Early Warning Systems for Emergency Management: A Review." Confluence University Journal of Science and Technology Online First: 02 Jul, 2025.

MLA (The Modern Language Association) Style

APA (American Psychological Association) Style

Author Login Reviewer Login Editorial Policies Editorial Review Policy Peer Review Policy Editorial & Peer Review Process Author's Rights and Obligations Conflict of Interest Policy Plagiarism Policy Protection of Research Participants (Statement On Human And Animal Rights)Statement of Informed Consent Copyright Information

About Confluence University Journal of Science and Technology

Contact Information

How to cite this article


About Confluence University Journal of Science and Technology Confluence University Journal of Science and Technology (CUJosTech) is the official Journal of the Confluence University of Science and Technology (C ... Read more. For best results, please use Internet Explorer or Google Chrome.	Contact Information Dr Daniel O. Apeh Journal Secretary Room 21, Block C, Faculty of Science Building cujostech@custech.edu.ng +234(0)7033395643