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Spatio-Temporal Modeling of Violent Conflict and Fatality in Nigeria

A Point Process Modeling with SPDE Approach

Bibliographic Data

ID6170182
AuthorsOsafu Augustine Egbon (0000-0002-5890-7954, Universidade de São Paulo), Ezra Gayawan (0000-0001-7702-4586, Federal University of Technology)
Year2025
Volume16
Issue1
Pages63-86
Publication date2025-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueStatistics Politics and Policy (JOURNAL)
Journal identifiersISSN: 2151-7509 • E-ISSN: 2194-6299
PublisherDe Gruyter (PUBLISHER • DE)
DOI10.1515/spp-2024-0028
OpenAlexW4408687113
LanguageEN
Citations received1
References cited47

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

Case fatality rate · Econometrics · Economics · Environmental health · Point (geometry · Population · Process (computing · Computer Science · Mathematics · Medicine · Point processes and geometric inequalities · Psychology · Soil Geostatistics and Mapping · Spatial and Panel Data Analysis

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