English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

To this day, terrorism persists as a worldwide threat, as exemplified by theongoing lethal attacks perpetrated by ISIS in Iraq, Syria, Al Qaeda in Yemen,and Boko Haram in Nigeria. In response, states deploy various counterterrorismpolicies, the costs of which could be reduced through efficient preventivemeasures. Statistical models able to account for complex spatio-temporaldependencies have not yet been applied, despite their potential for providingguidance to explain and prevent terrorism. In an effort to address thisshortcoming, we employ hierarchical models in a Bayesian context, where thespatial random field is represented by a stochastic partial differentialequation. Our results confirm the contagious nature of the lethality ofterrorism and the number of lethal terrorist attacks in both space and time.Moreover, the frequency of lethal attacks tends to be higher in richer areas,close to large cities, and within democratic countries. In contrast, attacksare more likely to be lethal far away from large cities, at higher altitudes,in poorer areas, and in locations with higher ethnic diversity. We argue that,on a local scale, the lethality of terrorism and the frequency of lethalattacks are driven by antagonistic mechanisms.

A Bayesian Approach to Modelling Fine-Scale Spatial Dynamics of Non-State Terrorism: World Study, 2002-2013