Exploring the relationship between socioeconomic status and dog-bite injuries through spatial analysis
Bibliographic record
Abstract
INTRODUCTION: Despite a reported socioeconomic gradient in health, little is known about relationship between socioeconomic status (SES) and frequency of dog-bite injuries. The primary objective of this study was to compare the frequency of dog-bite injuries, using data on dog-bite injury hospitalizations (DBIH), across different SES areas in Manitoba, Canada. The secondary objective of the study was to assess if frequency and pattern of DBIHs are similar to those of non-canine bite injury hospitalizations (NCBIH) and rabies post-exposure prophylaxis (PEP). SES grouping in this study was defined through rurality and area-wide income quintile groups. METHODS: Rural and urban Manitoba neighbourhoods were ranked according to average area-level incomes into five levels (quintiles) with equal numbers of people in each income level. Prevalence was defined as the number of cases of hospitalizations (whether dog-bite injury or non-canine bite injury) or PEP reported in the years 1984-2006, divided by the total population during the same time period and expressed as the number of cases per 100 000 population per SES grouping. The 95% confidence intervals (CI) were calculated using the approach for Poisson distribution. RESULTS: During 1984-2006, Manitoba's prevalence (CI) of DBIH (3.19 (2.97, 3.41) per 100 000 population) was lower than prevalence of NCBIH (4.08 (3.84, 4.32)) and PEP (7.24 (6.92, 7.57)). Prevalence of DBIH was higher in rural than in urban areas (DBIH: 3.58 (3.24, 3.92) vs 2.87 (2.59, 3.15), p<0.01) and higher in the lowest income quintile areas than in the highest, whether rural (5.18 (4.24, 6.26) vs 3.29 (2.55, 4.17), p<0.0001) or urban (3.65 (2.97, 4.44) vs 2.24 (1.73, 2.87), p<0.01). The patterns of relationship between SES (rurality and income levels) and prevalence of NCBIH and PEP were similar to those between SES and DBIH. CONCLUSIONS: Although only a descriptive study, the results suggest that policies for control of dog-bite injuries should be area-specific. Prevention efforts could perhaps be improved by focussing not only on families, but also on neighbourhood regions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".