Authors :
Dakagan, J. B.; Barnabas, A.; Sambo, J. N.; Maikori, B. B.; Ishaya, S. D.; Inuwa, J.; Maibege, T. E.; Ameh, I. A.
Volume/Issue :
Volume 11 - 2026, Issue 4 - April
Google Scholar :
https://tinyurl.com/2szct24d
Scribd :
https://tinyurl.com/ykwrebe4
DOI :
https://doi.org/10.38124/ijisrt/26apr661
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The study investigated an unusually high rate of dognapping and property theft. Concern arose because the spike
occurred outside the usual Christmas season, a period historically associated with higher crime rates in the area. Seventy
households were purposively sampled, and all questionnaires were retrieved and analyzed using descriptive statistics,
graphical illustrations, and correlation analysis. Also, spatial visualization was done through kernel density to show the
concentration of crime via continuous surfaces. Findings revealed that most dognapping incidents occurred at night
(72.86%), though a growing number were reported in the morning (15.71%).
Keywords :
Dognapping, Crime, Security, Seasonality, Prevention.
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The study investigated an unusually high rate of dognapping and property theft. Concern arose because the spike
occurred outside the usual Christmas season, a period historically associated with higher crime rates in the area. Seventy
households were purposively sampled, and all questionnaires were retrieved and analyzed using descriptive statistics,
graphical illustrations, and correlation analysis. Also, spatial visualization was done through kernel density to show the
concentration of crime via continuous surfaces. Findings revealed that most dognapping incidents occurred at night
(72.86%), though a growing number were reported in the morning (15.71%).
Keywords :
Dognapping, Crime, Security, Seasonality, Prevention.