Spatiotemporal clustering of suicide attempt in Kermanshah, West-Iran

• DOI: 10.3389/fpsyt.2023.1174071
• Publication Date: 2023-07-31T20:50:51Z
• Authors: Alireza Zangeneh; Nahid Khademi; Naser Farahmandmo...; Arash Ziapour; Reyhane Naderlou; Somayyeh Shalchi ...; Raziyeh Teimouri; Komali Yenneti; Shahrzad Moghadam
• Keywords: Suicide methods

Background A suicide attempt is a major societal problem because it imposes high costs on societies worldwide. This paper analyses the spatiotemporal clustering of in Kermanshah, Iran from 2006–14. Methods study draws 18,333 individuals (7,234 males and 11,097 females) who attempted across Kermanshah province. Data was collected records registered hospitals province between 2006 2014. Mean Center, Standard Deviational Ellipse (SDE), Moran’s I Kernel Density Estimation (KDE) Arc/GIS10.6 software were used for analysis spatial distribution attempt, while chi-squared test SPSS to examine different demographic variables groups within/outside clusters suicide. Results The results show that total 18,331 attempts (39.46% male 60.53% female) reported 2014 pattern clustered 16 (6 10 low clusters) statistically significant differences found within outside hotspots attempts. Most hot spots formed around cities. Younger people at greater risk. rate reduced illiterate increased with university degrees. Unmarried associated higher risk than married status both females. Conclusion this could help public health practitioners policymakers prioritize resources target efforts prevention.