Evidence map›Paper›PMID 40281072›Full record

ArticleScientific reports2025

Spatial and temporal modeling of conflict related fatality and public health implications in Nigeria.

Osafu Augustine Egbon, Asrat Mekonnen Belachew, Mariella Ananias Bogoni, Ezra Gayawan, Francisco Louzada

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Osafu Augustine EgbonInstitute of Mathematical and Computer Sciences, University of São Paulo, São Paulo, Brazil.
Asrat Mekonnen BelachewInstitute of Mathematical and Computer Sciences, University of São Paulo, São Paulo, Brazil. asrat.belachew@aims-cameroon.org.
Mariella Ananias BogoniInstitute of Mathematical and Computer Sciences, University of São Paulo, São Paulo, Brazil.
Ezra GayawanDepartment of Statistics, Federal University of Technology, Akure, Nigeria.
Francisco LouzadaInstitute of Mathematical and Computer Sciences, University of São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatality resulting from violent conflicts poses a critical public health challenge in Nigeria, straining healthcare systems, disrupting resource allocation, and necessitating targeted interventions to curb the prevalence and strengthen community resilience. According to the Global Organized Crime and Terrorism Indices, Nigeria is ranked among the top countries most impacted by terrorism in 2020. Despite numerous studies on crimes in Nigeria, adequate attention has not been given to quantifying the patterns of fatalities due to conflict events. This work aims to unveil the subtle spatio-temporal pattern of fatality resulting from violent events in Nigeria over a quarter-century. A spatio-temporal mixed model within a Bayesian framework was adopted, and data was sourced from the Armed Conflict Location and Event Data Project. The study found existing temperate seasonality in the pattern of fatalities, with a high fatality impact in Autumn and Winter. Among all the events, sexual violence was the leading cause of fatality in the country. Findings identified spatial and temporal disparities in fatality, with the North-East geopolitical zone being the most exposed region over the years, and uneducated members of poorest households are relatively more at risk of these events. The identified factors and patterns could be relevant for designing sustainable intervention programs or response policies to mitigate violent events in Nigeria.

Indexed as

Armed ConflictsPublic HealthViolenceBayes TheoremFemaleHumansMaleNigeriaSeasonsSex OffensesSpatio-Temporal AnalysisBayesian modelSpatio-temporal modelSPDEViolent eventsZero-inflated model

Identifiers

PMID40281072
PMCPMC12032423

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.