Spatio-Temporal Patterns of Emergency Incidents in Osogbo, Nigeria: Implications for Urban Resilience

Abstract 
Urban emergencies in Osogbo have exhibited 
complex spatial, temporal, and statistical patt- -atterns that demand adaptive resilience 
strategies. Using data from 2015–2025, this 
study employed spatial mapping, seasonal cat- -egorization, and advanced statistical analyses 
to examine fire incidents and medical/accident 
emergencies. Results revealed that  emergenci- -es cluster in densely populated corridors and 
vary seasonally, with fire incidents peaking in 
hot dry months and medical emergencies 
dominating rainy and warm dry seasons Statis- -tical calculations reinforced these findings: 
Pearson correlation indicated a strong inverse 
relationship between fire and medical 
emergencies (r = -0.63); regression analysis 
confirmed predictive strength (R2 = 0.4, p < 
0.04); Chi- square and ANOVA tests validated 
significant seasonal associations (X2 = 132.5, 
p < 0.05; (F (17.4) >15.62)). Collectively, 
these findings underscore a shift in urban 
vulnerability from fire hazards toward health 
and accident emergencies, driven by climatic 
variability and urban growth Policy implicat- -ions emphasize strengthening healthcare 
infrastructure,implementing seasonally adap- -tive preparedness, and targeting high risk 
urban corridors. The study concludes that 
Osogbo"s resilience depends on integrating 
statistical evidence with spatio-temporal insi- -ghts to guide proactive, climate sensitive  
emergency management.