| Literature DB >> 25183313 |
Natasha Murray1, Suphachai Jansarikij2, Phanthip Olanratmanee2, Pongsri Maskhao3, Aurélia Souares1, Annelies Wilder-Smith4, Pattamaporn Kittayapong2, Valérie R Louis5.
Abstract
BACKGROUND: As current dengue control strategies have been shown to be largely ineffective in reducing dengue in school-aged children, novel approaches towards dengue control need to be studied. Insecticide-impregnated school uniforms represent an innovative approach with the theoretical potential to reduce dengue infections in school children.Entities:
Keywords: acceptability of impregnated school uniforms; dengue; insecticide-treated material; permethrin; prevention; school uniforms
Mesh:
Substances:
Year: 2014 PMID: 25183313 PMCID: PMC4152550 DOI: 10.3402/gha.v7.24887
Source DB: PubMed Journal: Glob Health Action ISSN: 1654-9880 Impact factor: 2.640
Fig. 1Example of school uniforms: standard, sport, and culture uniform.
Basic socio-demographic and household information from quantitative parent questionnaires (N=321)
| n | % | |
|---|---|---|
| Student grade | ||
| Grade 1 | 64 | 20.0 |
| Grade 2 | 27 | 8.4 |
| Grade 3 | 34 | 10.6 |
| Grade 4 | 26 | 8.1 |
| Grade 5 | 42 | 13.1 |
| Grade 6 | 113 | 35.2 |
| Grade 7 | 15 | 4.7 |
| Highest level of education of respondent | ||
| None | 19 | 5.9 |
| Primary school | 177 | 55.1 |
| Secondary school | 61 | 19.0 |
| Higher certificate of education | 14 | 4.4 |
| University diploma | 12 | 3.7 |
| University bachelor degree | 8 | 2.5 |
| University masters or above | 1 | 0.3 |
| Missing data | 29 | 9.0 |
| Total monthly income of household in Thai Baht (100 Baht≈3USD) | ||
| 0–4,999 | 87 | 27.1 |
| 5,000–9,999 | 108 | 33.6 |
| 10,000–14,999 | 54 | 16.8 |
| 15,000–19,999 | 24 | 7.5 |
| 20,000 or above | 23 | 7.2 |
| Missing data | 25 | 7.8 |
| Employment status of respondent | ||
| Employed (by someone other than self) | 226 | 70.4 |
| Self-employed | 43 | 13.4 |
| Unemployed | 37 | 11.5 |
| Missing data | 15 | 5.7 |
Frequency and percentages of danger of dengue and level of concern of dengue in district among parents (N=321)
| n | % | % range amongst schools | |
|---|---|---|---|
| Level of concern of dengue in district | |||
| None | 34 | 10.6 | [3.3–15.0] |
| Mild | 30 | 9.3 | [3.7–13.4] |
| Moderate | 145 | 45.2 | [35.5–50.8] |
| High | 99 | 30.8 | [19.4–42.5] |
| Missing data | 13 | 4.1 | [0–9.0] |
| Danger level of dengue | |||
| Not dangerous at all | 6 | 1.9 | [0.9–2.8] |
| Slightly dangerous | 33 | 10.3 | [8.4–17.5] |
| Mildly dangerous | 6 | 1.9 | [0–3.7] |
| Moderately dangerous | 25 | 7.8 | [2.8–11.2] |
| Severely dangerous/life threatening | 236 | 73.5 | [67.1–77.5] |
| Missing data | 15 | 4.7 | [0–12.0] |
Known and used vector control tools of school teachers, parents, and principals participating in FGDs and interviews
| Classification of vector control tool | Known and used vector control tools |
|---|---|
| Environmental | Water jar lids/seals and water container lids |
| management | Turn over water containers |
| Wire screen | |
| Changing of water | |
| Remove breeding sites | |
| Destroy unused containers | |
| Bed net | |
| Keeping house and surrounds clean | |
| Ventilation | |
| Fill water hole with soil | |
| Chemical control | Temephos |
| Mosquito coils and sticks | |
| Fogging – at home and schools | |
| Insecticide at home | |
| Insecticide spraying by municipality in schools | |
| Personal repellent | |
| Biological control | Guppy fish |
| Other methods identified | Education of students and public relations campaigns |
| Posters about dengue prevention | |
| Adding Kafir lime to drinking water | |
| Electric racket |
Willingness to pay additionally among parents to purchase an impregnated uniform over a ‘normal’ school uniform (100 Baht≈3USD)
| Not willing | Willing | Total | |
|---|---|---|---|
| Category | n (%) | n (%) | n (%) |
| Amount (Baht) (N=321) | |||
| 0 | 105 (32.7) | ||
| 1–200 | 108 (33.6) | ||
| 201–400 | 39 (12.2) | ||
| 401–600 | 4 (1.3) | ||
| 601–800 | 3 (0.9) | ||
| 801–1,000 | 0 (0) | ||
| 1,000 & above | 3 (0.9) | ||
| Missing | 59 (18.4) | ||
| Education level (N=240) | |||
| None | 8/96 (8.3) | 8/144 (5.6) | 16/240 (6.7) |
| Primary school | 67/96 (69.8) | 74/144 (51.4) | 141/240 (58.8) |
| Secondary school and above | 21/96 (21.9) | 62/144 (43.1) | 83/240 (34.6) |
| Monthly income (N=246) | |||
| 0–4,999 | 35/98 (35.7) | 31/148 (21.0) | 66/246 (26.8) |
| 5,000–9,999 | 38/98 (38.8) | 53/148 (35.8) | 91/246 (37.0) |
| 10,000–14,999 | 14/98 (14.3) | 36/148 (24.3) | 50/246 (20.3) |
| 15,000 & above | 11/98 (11.2) | 28/148 (18.9) | 39/246 (15.8) |
Logistic regression model of willingness to pay additionally (yes/no) regressed against total monthly income of household (grouped as 0–4,999, 5,000–9,999, and ≥10,000 Baht) and education level of respondent (grouped as none, primary, and secondary and above)
| Parameter | Estimate | Error | Odd ratio | 95% CI |
|---|---|---|---|---|
| Intercept | −1.557 | 0.600 | ||
| Monthly income | 0.368 | 0.184 | 1.44 | 1.01–2.07 |
| Education level | 0.529 | 0.257 | 1.70 | 1.03–2.81 |