Investigating the COVID-19 Lockdown Effect on Animal Bite Incidence: A Non-Parametric Analysis
Introduction: The COVID-19 pandemic brought unprecedented changes to human behavior due to widespread lockdowns, which restricted movement and altered daily activities. These disruptions not only affected people’s lifestyles but also had implications for interactions between humans and animals. Animal bite incidents, which pose significant public health concerns, may have been influenced by changes in human presence and activities. Present study investigates the effect of COVID-19 lockdowns on the frequency and characteristics of animal bites, focusing on factors such as gender, Socio-Economic Status (SES), types of animals, category of bites etc. A non-parametric statistical approach has been used to analyze the data and assess the impact of the lockdown. Objectives: The primary objective of this study was to investigate the effect of the COVID-19 lockdown on animal bite incidents by comparing the data recorded before and after the lockdown. The analysis focused on the following some key factors, like: Gender of the individuals affected by animal bites. Socio-economic status (SES) of the individuals. Type of animal responsible for the bite (e.g., dog, cat, wild animal). Category of bite (categorized by severity and treatment required) etc. etc. Methodology: 4246 Data were collected of animal bites cases being reported in the Anti Rabies Vaccination (ARV) clinic at the Agartala Government Medical College (AGMC) and GBP Hospital, Agartala, Tripura, during the year 2018 to 2023. The dataset included variables such as the gender of the victim, their socio-economic status, the type of animal responsible for the bite, the category of bite (mild, moderate, severe) etc. The non-parametric Wilcoxon Signed Rank Test was applied to the dataset, which does not assume a normal distribution, making it suitable for comparing the medians of two related samples: animal bite incidents before and after the Covid-19 Lockdown. Results: The Wilcoxon Signed Rank Test revealed a statistically significant reduction in animal bite incidents during the lockdown compared to the before lockdown period (p < 0.05). Sub-group analyses provided further insights: Gender: Both males and females experienced a reduction in bite incidents, though the decrease was more pronounced among males. Socio-Economic Status: Lower SES groups showed a greater decline in bite cases, possibly due to stricter mobility restrictions in densely populated areas. Type of Animal: Dog bites, which represented the majority of cases, showed the most significant decline. Bites from stray animals also decreased, likely due to reduced human-animal encounters during the lockdown. Category of Bite: The proportion of severe bites remained relatively unchanged, suggesting that while overall bite incidents decreased, the severity of bites in individual cases did not. Discussion: The findings suggest that the COVID-19 lockdown had a significant impact on animal bite incidents, likely due to reduced human movement and interaction with stray or domestic animals. The results align with the hypothesis that fewer people on the streets and public spaces led to fewer opportunities for negative human-animal encounters, particularly with stray animals. Furthermore, the difference in the reduction of bites across SES groups points to how lockdown measures might have differentially affected various population segments, especially in urban versus rural areas. The analysis also highlighted that, while the frequency of bites decreased, the severity of bites in reported cases did not change substantially. This could imply that the nature of high-severity bites is more random or related to specific interactions that were less impacted by the lockdown. Conclusion: This study presents evidence that the COVID-19 lockdown significantly reduced the frequency of animal bite incidents. The Wilcoxon Signed Rank Test confirmed that the differences between before and post-lockdown periods were statistically significant across multiple demographic and socio-economic factors. These findings provide valuable insights into the indirect effects of large-scale public health measures on human-animal interactions. Future research should explore the long-term impacts of such disruptions and examine the role of animal management policies during emergencies to mitigate the risk of animal bites. Keywords: COVID-19, lockdown, animal bites, Wilcoxon Signed Rank Test, non-parametric analysis, socio-economic status, gender, type of animal, bite severity
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