| Literature DB >> 36164324 |
Mst Farzana Rahman Zuthi1,2, Md Arif Hossen1, Sudip Kumar Pal2, Maruful Hasan Mazumder3, S M Farzin Hasan2, Md Muzamamel Hoque2,4.
Abstract
Hand hygiene is considered as one of the most effective ways for preventing transmissible diseases, especially for preventing virus-borne diseases. The study has been conducted to evaluate changes in knowledge, awareness and practices of hand hygiene due to the outbreak of the coronavirus disease (COVID-19) in Bangladesh. The potential factors influencing human behaviours for maintaining hand hygiene have also been explored. Moreover, a probable increase in daily water demand associated with the changed situation has been assessed. An online survey was performed among a total of 367 Bangladeshi residents about their practices of hand hygiene during pre-corona, corona, and of their perceived future practices at post-corona period. It has been observed that a significant percentage (62.1%) of the respondents have received basic hygiene education at any level of their academic education. Nevertheless, their hygiene practices were very poor before the COVID-19 pandemic. The outbreak of the COVID-19 has reinforced their previous knowledge and greatly influenced their behavioural changes towards practicing hand hygiene as per World Health Organization guidelines for preventing the virus outbreak. The changes, however, have created increased water demand. The estimated water usage is found to be 2.68 times (9.15 L/c/d) and 2.52 times (8.59 L/c/d) higher in the corona and post-corona period respectively than that of the pre-corona situation (3.41 L/c/d). The principal component analysis (PCA) elucidated that an individual's practice of hand hygiene was associated with income, level of academic and hygiene education, and the COVID-19 outbreak itself. Moreover, the influence of hygiene education and COVID-19 outbreak affecting the duration of handwashing are found highly significant (p-value < 0.001) from the regression analysis. Raising awareness towards behavioural change of an individual about water usage, improvement of academic curriculum regarding hand hygiene and provision of water pricing are recommended to attain sustainable development goals of the country.Entities:
Keywords: COVID-19; Hand hygiene; Hygiene education; Principal component analysis; Water management
Year: 2022 PMID: 36164324 PMCID: PMC9493147 DOI: 10.1016/j.gsd.2022.100848
Source DB: PubMed Journal: Groundw Sustain Dev ISSN: 2352-801X
Questionnaire regarding respondent's knowledge, behaviour and hygiene practices.
| 1. Gender, age, education, area of living |
| 2. Occupation and monthly income |
| 3. Hygiene education and its importance to prevent communicable disease and COVID-19 |
| 1. Awareness of coronavirus and COVID-19 outbreak (yes/no) |
| 2. Source of information about COVID-19 (multi-response) |
| 3. Knowledge of effective preventive measures against COVID-19 (multi-response) |
| 1. Types of disinfectants used by individuals |
| 2. Sources of water for handwashing |
| 3. Duration and frequency of handwashing |
| 4. Mode of hand drier used by individuals |
| 5. Necessity of Inclusion of hygiene education in any level of education (yes/no) |
| 6. Adequacy of respondent's received education to date for fighting against coronavirus (yes/no) |
Socio-demographic details of the respondents.
| Male | 277 | 75.5 |
| Female | 90 | 24.5 |
| ˂ 18 years | 4 | 1.1 |
| 18–24 years | 175 | 47.7 |
| 25–50 years | 178 | 48.5 |
| Others | 10 | 2.7 |
| SSC or below | 3 | 0.8 |
| HSC | 95 | 25.9 |
| Graduate | 165 | 45.0 |
| Postgraduate | 91 | 24.8 |
| Others | 13 | 3.5 |
| ˂ 10000 | 185 | 50.4 |
| 10000 - 25000 | 20 | 5.5 |
| 25001 - 50000 | 70 | 19.1 |
| 50001 - 75000 | 35 | 9.5 |
| 75001 - 100000 | 23 | 6.3 |
| ˃ 100000 | 34 | 9.2 |
| Student | 191 | 52.0 |
| Academician | 44 | 12.0 |
| Pvt. Employee | 74 | 20.2 |
| Govt. Employee | 39 | 10.6 |
| Businessman | 4 | 1.1 |
| Medical Person | 2 | 0.5 |
| Unemployed | 13 | 3.6 |
| Bangladesh | 332 | 90.5 |
| Others | 35 | 9.5 |
Fig. 1Distribution of the participants among the eight divisions of Bangladesh.
Fig. 2Respondent's source of information about COVID-19 outbreak (multi-response).
Fig. 3Respondent's preventive measures taken against COVID-19.
Fig. 4Reported duration of handwashing in the study for three periods.
Fig. 5Pattern of handwashing frequency among respondents.
Scenario of hand hygiene frequencies among the participants in three considered periods.
| <5 times | 5-10 times | >10 times | Only when required | Every hour | <5 times | 5-10 times | >10 times | Only when required | Every hour | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| <5 times | 145 (39.5) | 13.1 | 67.6 | 13.1 | 0.7 | 5.5 | 20.7 | 60.7 | 10.3 | 1.4 | 6.9 |
| 5-10 times | 126 (34.3) | 0.8 | 42.1 | 50.8 | 0.0 | 6.3 | 0.8 | 53.2 | 36.5 | 2.4 | 7.1 |
| >10 times | 28 (7.6) | 0.0 | 0.0 | 64.3 | 0.0 | 35.7 | 0.0 | 0.0 | 75.0 | 10.7 | 14.3 |
| Only when required | 64 (17.4) | 7.8 | 29.7 | 18.8 | 25.0 | 18.8 | 6.3 | 25.0 | 14.1 | 42.2 | 12.5 |
| Every hour | 4 (1.1) | 0.0 | 0.0 | 25.0 | 0.0 | 75.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 |
| Total, n (%) | 367 (100) | 25 (6.8) | 170 (46.3) | 114 (31.1) | 17 (4.6) | 41 (11.2) | 35 (9.5) | 171 (46.6) | 91 (24.8) | 35 (9.5) | 35 (9.5) |
Fig. 6Comparison of participant's handwashing frequencies to their educational level.
Fig. 7Type of disinfectants for washing hand.
Fig. 8Variation in the usage of disinfectants with income of respondents.
Fig. 9Use of different modes to dry hands.
Fig. 10Water requirement pattern for the respondents at their various handwashing frequencies for the three periods.
Fig. 11PCA of the study by (a) scree plot of the characteristic roots (eigenvalues), and (b) component plot in rotated space.
Varimax rotated principal component matrix of the studied factors.
| Gender | x1 | .770 | |||
| Age | x2 | .901 | |||
| Education | x3 | .717 | |||
| Occupation | x4 | .729 | |||
| Income | x5 | .802 | |||
| Source of water | x6 | −.648 | |||
| Received hygiene education | x7 | .568 | −.351 | ||
| Known about outbreak | x8 | .684 | |||
| Duration of handwash- Pre-corona | x9 | −.379 | .311 | ||
| Duration of handwash- Corona | x10 | −.904 | |||
| Duration of handwash- Post-corona | x11 | −.820 | |||
| Frequency of handwash- Pre-corona | x12 | −.833 | |||
| Frequency of handwash- Corona | x13 | .921 | |||
| Frequency of handwash- Post-corona | x14 | .804 | |||
| Eigenvalues | 2.76 | 2.50 | 2.15 | 1.20 | |
| % of Variance | 19.74 | 17.84 | 15.33 | 8.60 | |
| Cumulative % | 19.74 | 37.58 | 52.91 | 61.50 | |
Associations between reported duration of handwashing and the participant's characteristics.
| Gender | ||||||
| Male | 1 | 1 | ||||
| Female | 1.09 | 0.48–2.48 | 0.85 | 1.11 | 0.44–2.79 | 0.83 |
| <18 | ||||||
| 18–24 | 1.54 | 0.17–14.36 | 0.72 | 1.28 | 0.23–8.18 | 0.78 |
| 25–50 | 2.31 | 0.24–22.1 | 0.48 | 1.69 | 0.31–11.23 | 0.62 |
| >50 | 2.25 | 0.11–45.7 | 0.61 | 2.31 | 0.13–23.12 | 0.48 |
| SSC or below | ||||||
| HSC | 0.69 | 0.08–5.84 | 0.73 | 1.24 | 0.13–12.07 | 0.86 |
| Graduate | 0.61 | 0.07–4.98 | 0.64 | 0.66 | 0.07–5.97 | 0.71 |
| Postgraduate | 0.67 | 0.08–5.91 | 0.72 | 0.64 | 0.06–6.77 | 0.71 |
| Others | 0.87 | 0.12–6.32 | 0.68 | 0.82 | 0.24–6.89 | 0.66 |
| Student | ||||||
| Academician | 1.39 | 0.45–4.25 | 0.57 | 3.58 | 0.17–75.37 | 0.41 |
| Pvt. Company Employee | 2.41 | 0.8–7.22 | 0.12 | 6.44 | 0.36–115.28 | 0.21 |
| Govt. Employee | 2.53 | 0.57–11.25 | 0.22 | 4.25 | 0.16–115.94 | 0.39 |
| Medical Person | 1.89 | 0.67–14.56 | 0.78 | 3.43 | 0.82–45.67 | 0.45 |
| Business | 0.89 | 0.13–7.53 | 0.21 | 0.92 | 0.12–11.34 | 0.31 |
| Unemployed | 0.26 | 0.08–0.86 | 0.03 | 0.52 | 0.09–33 | 0.46 |
| <10000 | ||||||
| 10000–25000 | 0.88 | 0.24–3.23 | 0.84 | 0.79 | 0.17–3.8 | 0.77 |
| 25001–50000 | 2.89 | 0.97–8.6 | 0.05 | 1.05 | 0.06–18.29 | 0.97 |
| 50001–75000 | 2.37 | 0.53–10.54 | 0.26 | 0.84 | 0.05–14.82 | 0.92 |
| 75001–100000 | 0.82 | 0.22–3.04 | 0.76 | 0.21 | 0.01–3.12 | 0.26 |
| >100000 | 2.45 | 0.31–19.44 | 0.41 | 0.61 | 0.02–14.91 | 0.76 |
| Tap Water/Supply Water | ||||||
| Tube well Water | 4.08 | 0.54–30.89 | 0.17 | 4.74 | 0.58–38.68 | 0.15 |
| Stored Water | 0.27 | 0.09–0.84 | 0.02 | 0.32 | 0.15–1.27 | 0.07 |
| Yes | ||||||
| No | 0.07 | 0.03–0.12 | <0.001 | 0.33 | 0.16–0.71 | 0.004 |
| Yes | ||||||
| No | 0.06 | 0.02–0.16 | <0.001 | 0.43 | 0.24–1.55 | 0.025 |
Distribution of variables and their association with hygiene education.
| N | (%) | Yes (n) | Yes (%) | Χ2 | df | p-value | Yes (n) | Yes (%) | Χ2 | df | p-value | Yes (n) | Yes (%) | Χ2 | df | p-value | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Male | 277 | (75.5) | 172 | (62.1) | 0.0004 | 1 | 0.984 | 269 | (97.1) | 0.114 | 1 | 0.736 | 70 | (25.3) | 5.234 | 1 | 0.022 |
| Female | 90 | (24.5) | 56 | (62.2) | 88 | (97.8) | 34 | (37.8) | |||||||||
| <18 | 04 | (1.1) | 03 | (75.0) | 15.412 | 3 | 0.002 | 03 | (75.0) | 188.9 | 3 | <0.001 | 03 | (75.0) | 31.461 | 3 | <0.001 |
| 18–24 | 175 | (47.7) | 126 | (72.0) | 45 | (25.7) | 71 | (40.6) | |||||||||
| 25–50 | 178 | (48.5) | 95 | (54.3) | 170 | (95.5) | 28 | (15.7) | |||||||||
| >50 | 10 | (2.7) | 04 | (40.0) | 09 | (90.0) | 02 | (20.0) | |||||||||
| SSC or below | 03 | (0.8) | 02 | (66.7) | 4.044 | 4 | 0.401 | 02 | (66.7) | 11.59 | 4 | 0.021 | 02 | (66.7) | 35.712 | 4 | <0.001 |
| HSC | 95 | (25.9) | 63 | (66.3) | 91 | (95.8) | 18 | (18.9) | |||||||||
| Graduate | 165 | (45.0) | 106 | (64.2) | 161 | (97.6) | 70 | (42.4) | |||||||||
| Post-graduate | 91 | (24.8) | 49 | (53.8) | 89 | (97.8) | 12 | (13.2) | |||||||||
| Others | 13 | (3.5) | 08 | (61.5) | 12 | (92.3) | 02 | (15.4) | |||||||||
| Student | 191 | (52.0) | 136 | (71.2) | 21.461 | 6 | 0.002 | 184 | (96.3) | 20.84 | 6 | 0.002 | 58 | (30.4) | 17.804 | 6 | 0.007 |
| Academician | 44 | (12.0) | 25 | (56.8) | 43 | (97.7) | 14 | (31.8) | |||||||||
| Pvt. Employee | 74 | (20.2) | 33 | (44.6) | 73 | (98.6) | 10 | (13.5) | |||||||||
| Govt. Employee | 39 | (10.6) | 26 | (66.7) | 38 | (97.4) | 12 | (30.8) | |||||||||
| Medical Person | 04 | (1.1) | 03 | (75.0) | 03 | (75.0) | 03 | (75.0) | |||||||||
| Business | 02 | (0.5) | 01 | (50.0) | 01 | (50.0) | 01 | (50.0) | |||||||||
| Unemployed | 13 | (3.6) | 05 | (38.5) | 12 | (92.3) | 06 | (46.2) | |||||||||
| Yes | 228 | (62.1) | 228 | (100) | – | – | – | 224 | (98.2) | 2.139 | 1 | 0.144 | 95 | (41.7) | 52.664 | 1 | <0.001 |
| No | 139 | (37.9) | 0 | (0.0) | 133 | (95.7) | 09 | (6.5) | |||||||||
| Yes | 357 | (97.3) | 224 | (62.7) | 2.139 | 1 | 0.144 | 357 | (100) | – | – | – | 99 | (27.7) | 2.375 | 1 | 0.123 |
| No | 10 | (2.7) | 04 | (40.0) | 0 | (0.0) | 05 | (50.0) | |||||||||
| Yes | 104 | (28.3) | 95 | (91.3) | 52.664 | 1 | <0.001 | 99 | (95.2) | 2.375 | 1 | 0.123 | 104 | (100) | – | – | – |
| No | 263 | (71.7) | 133 | (50.6) | 258 | (98.1) | 0 | (0.0) | |||||||||
Regression analysis of variables by hygiene education, inclusion and adequacy of the education.
| OR | 95%CI | p-value | OR | 95%CI | p-value | OR | 95%CI | p-value | |
|---|---|---|---|---|---|---|---|---|---|
| Male | 0.99 | (0.61–1.62) | 0.984 | 0.76 | (0.16–3.67) | 0.751 | 0.56 | (0.34–0.92) | 0.023 |
| Female | 1 | 1 | 1 | ||||||
| <18 | 4.5 | (0.34–60.15) | 0.258 | 0.33 | (0.02–7.14) | 0.492 | 12 | (0.77–186.37) | 0.075 |
| 18–24 | 3.86 | (1.04–14.26) | 0.043 | 0.04 | (0–0.31) | 0.002 | 2.73 | (0.56–13.24) | 0.214 |
| 25–50 | 1.72 | (0.47–6.29) | 0.426 | 2.36 | (0.26–19.16) | 0.429 | 0.75 | (0.15–3.62) | 0.729 |
| >50 | 1 | 1 | 1 | ||||||
| SSC or below | 1.25 | (0.09–17.65) | 0.878 | 0.17 | (0.01–3.89) | 0.268 | 11 | (0.65–187.3) | 0.097 |
| HSC | 1.23 | (0.37–4.07) | 0.747 | 1.9 | (0.2–18.4) | 0.593 | 1.29 | (0.26–6.32) | 0.769 |
| Graduate | 1.12 | (0.35–3.59) | 0.855 | 3.35 | (0.35–32.42) | 0.298 | 4.05 | (0.87–18.87) | 0.071 |
| Post-graduate | 0.73 | (0.22–2.4) | 0.606 | 3.71 | (0.38–35.84) | 0.261 | 0.84 | (0.18–3.89) | 0.831 |
| Others | 1 | 1 | 1 | ||||||
| Student | 3.96 | (1.24–12.63) | 0.021 | 2.19 | (0.25–19.28) | 0.489 | 0.51 | (0.16–1.58) | 0.245 |
| Academician | 2.11 | (0.59–7.47) | 0.252 | 3.58 | (0.28–61.62) | 0.386 | 0.54 | (0.15–1.92) | 0.351 |
| Pvt. Employee | 1.29 | (0.38–4.31) | 0.694 | 6.08 | (0.36–103.94) | 0.214 | 0.18 | (0.05–0.65) | 0.009 |
| Govt. Employee | 3.2 | (0.87–11.75) | 0.071 | 3.17 | (0.18–54.57) | 0.436 | 0.52 | (0.14–1.87) | 0.321 |
| Medical Person | 4.8 | (0.38–59.89) | 0.225 | 0.25 | (0.01–5.26) | 0.379 | 3.51 | (0.28–43.16) | 0.333 |
| Business | 1.6 | (0.13–19.97) | 0.728 | 0.08 | (0.04–1.75) | 0.109 | 1.17 | (0.09–14.38) | 0.912 |
| Unemployed | 1 | 1 | 1 | ||||||
| Yes | – | – | – | 2.53 | (0.7–9.12) | 0.175 | 10.3 | (4.99–21.31) | <0.001 |
| No | 1 | 1 | |||||||
| Yes | 2.53 | (0.7–9.12) | 0.175 | – | – | – | 0.38 | (0.11–1.35) | 0.137 |
| No | 1 | 1 | |||||||
| Yes | 10.3 | (4.99–21.31) | <0.001 | 0.53 | (0.7–9.12) | 0.175 | – | – | – |
| No | 1 | 1 | |||||||