Spatio-Temporal Modeling of Violent Conflict and Fatality in Nigeria: A Point Process Modeling with SPDE Approach

Abstract For many decades, Nigeria has been plagued by a consistently high rate of violent events, resulting in countless fatalities and the displacement of citizens. This study aimed to model the spatio-temporal patterns of these events and the associated fatality to gain insight into the chain of events and provide a basis for swift and strategic intervention. To this end, a Cox point process model through the stochastic partial differential equation was adopted, taking into account the location randomness exhibited by violent events occurrence. The data analyzed was derived from the Uppsala Conflict Data Program – Georeferenced Event Dataset (UCDP-GED) version 22. The results revealed that violent events are particularly prevalent in the country’s northeast region, with a probability of 0.42 of at least one death occurring per violent event. These findings suggest a need for urgent intervention through informed policymaking, impeding the influx of illegal arms and ammunition in porous borders, and strategically tackling poverty.

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Publication Details

Journal
Statistics Politics and Policy
Published
2025-03-01
DOI
https://doi.org/10.1515/spp-2024-0028
Citations
3
Primary Topic
Point processes and geometric inequalities
Type
article
Field-Weighted Citation Impact
11.18

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article

Spatio-Temporal Modeling of Violent Conflict and Fatality in Nigeria: A Point Process Modeling with SPDE Approach

Ezra Gayawan, Osafu Augustine Egbon
3 citations
Statistics Politics and Policy
Point processes and geometric inequalities
11.18
article

Spatio-Temporal Modeling of Violent Conflict and Fatality in Nigeria: A Point Process Modeling with SPDE Approach

Ezra Gayawan, Osafu Augustine Egbon
article en
3 citations

Abstract

Abstract For many decades, Nigeria has been plagued by a consistently high rate of violent events, resulting in countless fatalities and the displacement of citizens. This study aimed to model the spatio-temporal patterns of these events and the associated fatality to gain insight into the chain of events and provide a basis for swift and strategic intervention. To this end, a Cox point process model through the stochastic partial differential equation was adopted, taking into account the location randomness exhibited by violent events occurrence. The data analyzed was derived from the Uppsala Conflict Data Program – Georeferenced Event Dataset (UCDP-GED) version 22. The results revealed that violent events are particularly prevalent in the country’s northeast region, with a probability of 0.42 of at least one death occurring per violent event. These findings suggest a need for urgent intervention through informed policymaking, impeding the influx of illegal arms and ammunition in porous borders, and strategically tackling poverty.

Statistics Politics and PolicyVol. 16(1)
Universidade de São Paulo (BR), Federal University of Technology (NG)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Openalex Percentile: Top 2%
Point processes and geometric inequalities
11.18
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