| Literature DB >> 36120678 |
Xinjiang Lin1, Shouping Chen2, Amatul Bushra Akhi3.
Abstract
Health-related issues and occurrences with regard to a particular population are the subject of an epidemiology study. This paper presents the results of a retrospective epidemiological investigation on 15922 hospitalized hand trauma patients from Central China between 2011 and 2020. Gender, age, onset season, injury mechanism, injury environment, injury location, and clinical characteristics are among the characteristics of the data gathered. The study is using computational analysis to draw inferences from the case studies collected in the databases of the hospitals. The types and characteristics of occupational injuries at home and outdoor are compared and analyzed. The purpose of the study is to present the findings from recent case studies for future reference and to recommend useful roles for the industrial sector in the care of patients with hand trauma in order to lower occupational harm. The injuries of preschool children are also analyzed. The incidence rate of hand injuries in infants has been increasing year by year which is directly related to the inefficient growth of children in rural areas. The data are collected from hospitals, then the data analytical tools are applied to draw conclusions. The suggested model is intelligently learned through the application of computational techniques, which are also used to suggest treatments to trauma victims. According to this study, males are more likely than females to sustain hand trauma; occupational injuries are more common than living injuries; males between the ages of 20 and 50 are at an increased risk of suffering an occupational injury. This study showed that the proportion of hand trauma in preschool children was higher (12.27%), and the 2-3-year-old group was the main injury target of preschool children (45.70%). The accidental injuries of newborns and young children can be reduced by government assistance, social support, and tighter monitoring.Entities:
Mesh:
Year: 2022 PMID: 36120678 PMCID: PMC9473870 DOI: 10.1155/2022/6508866
Source DB: PubMed Journal: Comput Intell Neurosci
Figure 1Distribution of age and sex. (x2 = 22489.14, P = 0.001).
Figure 2Distribution of the number of patients in each year (x2 = 1607.94, P = 0.001).
Figure 3Distribution of morbidity in each month (x2 = 555.05, P = 0.001).
Distribution of injured environment (%).
| Classify | Interior | Outside | Total | Statistical analysis |
|---|---|---|---|---|
| Occupational | 6209 (39.00) | 4657 (29.25) | 10866 (68.25) |
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| Living injury | 3660 (22.99) | 1396 (8.77) | 5056 (31.75) |
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| Total | 9869 (61.98) | 6053 (38.02) | 15922 (100) |
Distribution of injured sites (%).
| Classify | Construction site | Workshop | Road transport | Service place | Sports place | Office space | Leisure place | Field work | Other | Total | Statistical analysis |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Occupational | 3622 | 4242 | 622 | 1217 | 104 | 518 | 202 | 105 | 234 | 10866 |
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| Living injury | 0 | 0 | 958 | 843 | 489 | 868 | 869 | 768 | 261 | 5056 |
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| Total | 3622 | 4242 | 1580 | 2060 | 593 | 1386 | 1071 | 873 | 495 | 15922 | |
| (%) | 22.75 | 26.64 | 9.92 | 12.94 | 3.72 | 8.70 | 6.73 | 5.48 | 3.11 | 100 |
Figure 4Distribution of finger injuries (x2 = 785.87, P = 0.001).
Distribution of injury types.
| Classify | Detached injury | Crushed injury | Concis | Frustration crack | Puncture injury | Fracture | Burn scald | Other | Total | Statistical analysis |
|---|---|---|---|---|---|---|---|---|---|---|
| Occupational | 976 | 3924 | 3251 | 201 | 626 | 1021 | 198 | 669 | 10866 |
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| Living injury | 401 | 1515 | 1436 | 162 | 705 | 501 | 157 | 179 | 5056 |
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| Total | 1377 | 5439 | 4687 | 363 | 1331 | 1522 | 355 | 848 | 15922 | |
| (%) | 8.65 | 34.16 | 29.44 | 2.28 | 8.36 | 9.56 | 2.23 | 5.33 | 100 |
Figure 5Causes of injuries of preschool children (x2 = 1286.049, P = 0.001).