| Literature DB >> 33102340 |
D Sunil Kumar1, Praveen Kulkarni1, Nayanabai Shabadi1, Arun Gopi1, Aparna Mohandas1, M R Narayana Murthy1.
Abstract
BACKGROUND: Effective and efficient use of technological advances will ease public health interventions and also help in reaching a larger population. Geographic Information System (GIS) and Foldscope are two such technologies, which have promising utilities in public health. Identifying intestinal parasitic infections early through feasible technologies will help in their effective management. With this objective, this study was conducted to assess the prevalence of intestinal parasitic infections among school children in southern districts of Karnataka, India.Entities:
Keywords: Foldscope; geographic information system; intestinal parasitic infections; public health system; school children; stool samples
Year: 2020 PMID: 33102340 PMCID: PMC7567236 DOI: 10.4103/jfmpc.jfmpc_568_20
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Association between the sociodemographic profile and parasitic infections (n=1052)
| Variable | Category | Stool microscopy | Total | ||
|---|---|---|---|---|---|
| Positive | Negative | ||||
| Age group | 5-9 | 135 (24.6) | 413 (75.4) | 548 (52.1) | 0.001 |
| 10-12 | 0 | 114 (100.0) | 114 (10.8) | ||
| 13-15 | 4 (1.0) | 386 (99.0) | 390 (37.1) | ||
| Gender | Male | 68 (12.2) | 490 (87.8) | 558 (53.0) | 0.296 |
| Female | 71 (14.4) | 423 (85.6) | 494 (47.0) | ||
| Locality | Urban | 135 (19.3) | 563 (80.7) | 698 (66.3) | 0.001 |
| Rural | 4 (1.1) | 350 (98.9) | 354 (33.6) | ||
| Food preference | Vegetarian | 102 (12.1) | 738 (87.9) | 839 (79.7) | 0.041 |
| Nonvegetarian | 37 (17.5) | 423 (82.5) | 212 (20.1) | ||
| Exposure to animals | Yes | 3 (0.9) | 315 (99.1) | 318 (30.2) | 0.001 |
| No | 136 (18.5) | 598 (81.5) | 734 (69.8) | ||
| Intervals of taking bath | Daily | 139 (15.0) | 789 (85.0) | 928 (88.2) | 0.001 |
| Alternate days | 0 | 123 | 123 (11.7) | 0.001 | |
| Once a week | 0 | 1 | 1 (0.1) | ||
| History of mud ingestion | Yes | 0 | 72 | 72 (6.8) | 0.001 |
| No | 139 (14.2) | 841 (85.8) | 980 (93.1) | ||
| Nail biting | Present | 0 | 75 | 75 (7.1) | 0.001 |
| Absent | 139 (14.2) | 838 (85.8) | 977 (92.9) | ||
| Deworming in schools | Yes | 139 (13.3) | 908 (86.7) | 1047 (99.5) | 0.0018 |
| No | 0 | 2 | 2 (0.2) | ||
| Absent that day | 0 | 3 | 3 (0.3) | ||
| Cow in the family | Yes | 0 | 125 | 125 (11.9) | 0.001 |
| No | 139 (15.0) | 788 (85.0) | 927 (88.1) | ||
| Dog in the family | Yes | 1 (0.5) | 208 (99.5) | 209 (19.7) | 0.001 |
| No | 138 (16.4) | 705 (83.6) | 843 (80.1) | ||
| Cat in the family | Yes | 136 (18.5) | 598 (81.5) | 734 (69.8) | 0.001 |
| No | 3 (0.9) | 315 (99.1) | 318 (30.2) | ||
*P value was found to be statistically significant
Predictive variables for worm infestation among study subjects
| Variable | Adjusted odds ratio (95%CI) | |
|---|---|---|
| Age | 0.726 (0.556-0.947) | <0.018* |
| Urban (reference-rural) | 2.765 (0.841-9.091) | <0.094 |
| Height | 1.029 (0.995-1.065) | <0.093 |
| Weight | 0.917 (0.843-0.998) | <0.045* |
Binary logistic regression *P value was found to be significant
Comparison of age and anthropometric parameters among subjects with and without worm infestations
| Parameters | Negative | Positive | ||
|---|---|---|---|---|
| Age | 10.71±3.1 | 7.61±1.4 | .103 | 0.001 |
| Height | 131.62±19.0 | 115.43±11.3 | .631 | 0.001 |
| Weight | 28.92±11.1 | 19.23±4.1 | .369 | 0.001 |
Figure 1GIS map showing the location of schools selected for the study
Figure 2GIS map showing the location of schools and the positive cases
Figure 3GIS map showing the positive cases and the Hotspot areas for the management