Homicide Rates in Lithuania
Related Experiment Video
Updated: Feb 24, 2026

An Automated Microscopic Scoring Method for the γ-H2AX Foci Assay in Human Peripheral Blood Lymphocytes
Published on: December 25, 2021
Sigitas Chmieliauskas1,2, Sigitas Laima1,2, Gerda Andriuskeviciute2
1Department of Pathology, Forensic Medicine and Pharmacology, Faculty of Medicine, Vilnius University, M. K. Ciurlionio str. 21/27, Vilnius, Lithuania.
Abstract:
Homicide rate in Lithuania between 2004 and 2013 decreased and reached an average of 6.7 per 100,000 people in 2013. The data regarding forensic autopsies of intentional homicide victims were obtained from the State Forensic Medicine Service. Spearman's correlation test was used to assess trends in the homicide rates. A significant correlation was observed between homicide distribution and the following variables: Lithuania's gross domestic product (r = -0.85, p = 0.003), the number of alcohol intoxication cases of victims (r = 0.97, p < 0.05). After regression model adjustments, these variables remained significantly associated with the homicide distribution (p < 0.05). 73% of victims were men, with a mean age of 45.5 ± 15. Alcohol intoxication was present in 58% of victims. 66% of homicides were carried out indoors, 57% in urban area. The presented findings help decide which prevention programs may be the most effective in homicide rate reduction.
More Related Videos
11:25Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
Published on: March 7, 2022
09:37Topical Application Bioassay to Quantify Insecticide Toxicity for Mosquitoes and Fruit Flies
Published on: January 19, 2022
Related Concept Videos
Hazard Rate
Hazard Ratio
For example, in a clinical trial...
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Bias in Epidemiological Studies
Bystander Effect
Hypothesis Test for Test of Independence
H0: The two variables (factors)...