Firearm-related suicides, homicides, and homicide-suicides involving security officers in two East African Countries: a press media review
Bibliographic record
Abstract
Abstract Background Firearm violence is a growing public health problem causing death globally. With easy accessibility to firearms, suicides, homicides, and homicide-suicides have increased among security officers, especially in developing countries affected by long-standing civil wars/political insurgencies. No study has explored firearm violence in East African countries. This study describes the press media reporting of suicides, homicides, and homicide-suicides among security officers in two East African countries (Uganda and Kenya). Methods Due to the absence of suicide databases among East African countries, the present study reviewed press media reports. We utilized content analysis of suicides, homicides, and homicide-suicides reports among security forces. Relevant media reports between January-2020 and May-2023 were searched. Using ANOVA and chi-square tests, we tested for statistical differences in characteristics between victims and perpetrators. Results Among the 56 perpetrated reports, most of them were homicides 44.64% (n = 25/56), 30.36% (n = 17/56) were homicide-suicides, and 25% (n = 14/56) were suicides. Perpetrators’ age ranged from 21 to 47 years, majority being males [53/56 (94.64%)]. Victims were 58, mostly Ugandans [41/58 (73.21%)] with a mean age of 33.5 ± 8.81 years. Among the three main outcomes, statistically significant difference existed by country (χ 2 = 23.88, p < 0.001), and perpetrators’ age (F = 8.59, p = 0.005). There was a significant difference between perpetrators and the number of victims lost by age of victims (F = 10.37, p = 0.002). Among victims, type of security of perpetrator and citizenship of victims (χ 2 = 24.18, p < 0.001) showed statistical difference with Ugandans having more victims to army officers while Kenyans to police officers. Brief incident descriptions pointed towards relationship dysfunctions, alcohol/substance abuse, intentional harm, and financial disagreements, as the potential causes. Only two perpetrators were reported to have mental health-related conditions. Conclusion This study shows that media reported firearms-related suicides, homicides, and homicide-suicides among security forces commonly involve males. Perpetrators in Uganda are mainly army officers while in Kenya the perpetrators are mostly police officers. Mental health conditions were not frequently reported among perpetrators. We recommend strengthening and enforcing gun regulation policies among security officers to curb this growing problem in these countries. Routine screening of mental health problems to enable early interventions is recommended among security officers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".