| Literature DB >> 23510257 |
Hafiz Azhar Ali Khan1, Waseem Akram, Sarfraz Ali Shad, Muhammad Razaq, Unsar Naeem-Ullah, Khuram Zia.
Abstract
BACKGROUND: House flies are of major public health concerns in areas with poor sanitation and hygienic conditions. Unfortunately, sanitation and hygiene have always been ignored in dairy farms particularly in the developing or low-income countries. Management of these flies mostly depends on the awareness regarding associated hazards and protective measures taken by the people to minimize risks associated with flies. The present study therefore explores the knowledge, attitude and practices taken by dairy farmers in Punjab, Pakistan against house flies.Entities:
Mesh:
Year: 2013 PMID: 23510257 PMCID: PMC3643846 DOI: 10.1186/1746-4269-9-18
Source DB: PubMed Journal: J Ethnobiol Ethnomed ISSN: 1746-4269 Impact factor: 2.733
Socio-demographic characteristics of dairy farmers in four localities of the province Punjab, Pakistan (n = 173)
| | | | | | |
| Male | 41 (78.85) | 43 (86.00) | 35 (81.40) | 20 (71.43) | 139 (80.35) |
| Female | 11 (21.15) | 7 (14.00) | 8 (18.60) | 8 (28.57) | 34 (19.65) |
| | | | | | |
| ≤ 25 years | 11 (21.15) | 11 (22.00) | 11 (25.58) | 9 (32.14) | 42 (24.28) |
| 26-39 | 23 (44.23) | 23 (46.00) | 15 (34.88) | 9 (32.14) | 70 (40.46) |
| ≥ 40 | 18 (34.62) | 16 (32.00) | 17 (39.53) | 10 (35.71) | 61 (35.26) |
| | | | | | |
| Illiterate | 23 (44.23) | 26 (52.00) | 21 (48.84) | 10 (35.71) | 80 (46.24) |
| ≥ Primary | 18 (34.62) | 11 (22.00) | 14 (32.56) | 13 (46.43) | 56 (32.37) |
| ≥ Secondary | 8 (15.38) | 9 (18.00) | 7 (16.28) | 3 (10.71) | 27 (15.61) |
| ≥ Graduation | 3 (5.77) | 4 (8.00) | 1 (2.33) | 2 (7.14) | 10 (5.78) |
| | | | | | |
| Single | 6 (11.54) | 8 (16.00) | 13 (30.23) | 7 (25.00) | 34 (19.65) |
| Married | 43 (82.69) | 41 (82.00) | 28 (65.12) | 20 (71.43) | 132 (76.30) |
| Widow/widower | 3 (5.77) | 1 (2.00) | 2 (4.65) | 1 (3.57) | 7 (4.05) |
Figure 1Types of animals being reared by the respondents. n = number of farmers domesticating particular type of animals. Total number exceeds 173 due to multiple animal farming by the respondents.
Farm yard manures management and defecation practices of dairy farmers (n = 173)
| People throw farm yard manure in open fields | 93 | 53.76 |
| People store manure in open fields | 170 | 98.27 |
| Latrine available in the compound | 54 | 31.21 |
| People defecate in open fields | 123 | 71.10 |
| People defecate in the latrine | 50 | 28.90 |
Knowledge of problems associated with house flies, mode of disease transmission, potential breeding season and places
| | |||||
|---|---|---|---|---|---|
| | | | | | |
| -Yes | 52 (100%) | 50 (100%) | 43 (100%) | 28 (100%) | 173 (100%) |
| -No | 0 | 0 | 0 | 0 | 0 |
| -These cause nuisance to humans | 13 (25.00) | 13 (26.00) | 9 (20.93) | 6 (21.43) | 41 (23.70) |
| -These cause nuisance to farm animals | 1 (1.92) | 3 (6.00) | 2 (4.65) | 1 (3.57) | 7 (4.05) |
| -These interfere the milking process | 4 (7.69) | 4 (8.00) | 2 (4.65) | 2 (7.14) | 12 (6.94) |
| -These transmit diseases in humans | 8 (15.38) | 8 (16.00) | 6 (13.95) | 6 (21.43) | 28 (16.18) |
| -These transmit diseases in farm animals | 5 (9.62) | 7 (14.00) | 6 (13.95) | 1 (3.57) | 19 (10.98) |
| -These transmit diseases both in humans and animals | 9 (17.31) | 9 (18.00) | 6 (13.95) | 6 (21.42) | 30 (17.34) |
| I don’t know | 20 (38.46) | 19 (38.00) | 20 (46.51) | 12 (42.86) | 71 (41.04) |
| House flies cause Avian influenza/bird flu | 1 (4.00) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 1 (2.60) |
| House flies cause diarrhea | 8 (32.00) | 8 (36.36) | 5 (27.78) | 1 (8.33) | 22 (28.57) |
| I don’t know | 17 (68.00) | 14 (63.63) | 13 (72.22) | 11 (91.66) | 55 (71.43) |
| -These contaminate food and drinking water | 3 (11.54) | 2 (9.09) | 1 (5.56) | 1 (9.09) | 7 (9.09) |
| -These cause Infection through wounds | 5 (19.23) | 6 (27.27) | 4 (22.22) | 1 (9.09) | 16 (20.78) |
| I don’t know | 18 (69.23) | 16 (72.72) | 11 (61.11) | 10 (90.91) | 55 (71.43) |
| -These remain active at day time | 26 (50.00) | 25 (50.00) | 22 (51.16) | 18 (64.29) | 91 (52.60) |
| -These remain active at night time | 5 (9.62) | 2 (4.00) | 3 (6.98) | 0 (0.00) | 10 (5.78) |
| -These remain active every time | 21 (40.38) | 23 (46.00) | 18 (41.86) | 10 (35.71) | 72 (41.62) |
| | | | | | |
| -Summer | 17 (32.69) | 17 (34.00) | 14 (32.56) | 10 (35.71) | 58 (33.53) |
| -Winter | 6 (11.54) | 9 (18.00) | 3 (6.98) | 3 (10.71) | 21 (12.14) |
| -Spring | 8 (15.38) | 10 (20.00) | 4 (9.30) | 1 (3.57) | 23 (13.29) |
| I don’t know | 22 (42.31) | 15 (30.00) | 24 (55.81) | 14 (50.00) | 75 (43.35) |
| | | | | | |
| -filth of any type | 18 (34.62) | 12 (24.00) | 11 (25.58) | 10 (35.71) | 51 (29.48) |
| -human excreta | 13 (25.00) | 12 (24.00) | 13 (30.23) | 8 (28.57) | 46 (26.59) |
| -farm animals’ manure | 2 (3.85) | 1 (2.00) | 1 (2.33) | 1 (3.57) | 5 (2.89) |
| I don’t know | 25 (48.08) | 29 (58.00) | 21 (48.84) | 12 (42.86) | 87 (50.29) |
*Response of respondents who answered the house fly as a disease transmitter (n = 77).
Total percentage of most of the categories exceed that of 100% due to multiple responses.
Knowledge of the respondents about the prevention measures for house flies
| | |||||
|---|---|---|---|---|---|
| -Yes | 20 (38.46) | 21 (42.00) | 13 (30.23) | 12 (42.86) | 66 (38.15) |
| -No | 5 (9.62) | 5 (10.00) | 5 (11.63) | 2 (7.14) | 17 (9.83) |
| I don’t know | 27 (51.92) | 24 (48.00) | 25 (58.14) | 14 (50.00) | 90 (52.02) |
| -using fly papers | 1 (1.92) | 2 (4.00) | 0 (0.00) | 0 (0.00) | 3 (1.73) |
| -using insecticides | 6 (11.54) | 3 (6.00) | 3 (6.98) | 2 (7.14) | 14 (8.09) |
| -sanitation | 16 (30.77) | 16 (32.00) | 11 (25.58) | 8 (28.57) | 51 (29.48) |
| -using fans | 6 (11.54) | 3 (6.00) | 1 (6.98) | 1 (3.57) | 11 (6.36) |
| -planting mint ( | 4 (7.69) | 2 (4) | 1 (2.33) | 2 (7.14) | 9 (5.20) |
| -using neem ( | 15 (28.85) | 9 (18) | 7 (16.28) | 8 (28.57) | 39 (22.54) |
| -using electric fly killer | 11 (21.15) | 15 (30) | 17 (39.53) | 8 (28.57) | 51 (29.48) |
| I don’t know any measure | 4 (7.69) | 6 | 4 (7.69) | 0 | 14 (8.09) |
Total percentage of most of the categories exceed that of 100% due to multiple responses.
Figure 2Determinants of overall house fly knowledge in the province of Punjab, Pakistan. Overall knowledge of house flies was defined as the sum of the score of knowledge of the problems associated with house flies, knowledge of house flies’ breeding sites and knowledge of preventive measures. Resultantly each farmer obtained a score between 0 to 3. Probability values are based on univariate ordinal regression model and reveal the overall impact on differences in knowledge scores between the categories of each determinant.
Ordinal logistic regression models of socio-demographics and knowledge of the house fly
| Locality + Age + Education + Int** | | 142.76 | --- |
| Locality + Age + Education | βInt = 0 | 146.83 | 0.250 |
| Locality + Education | βAge = 0 | 151.11 | 0.015 |
*-2 log likelihood, ** All possible 2 way interactions, £ p values based chi square of −2 log likelihood difference between the reduced model and initial model. The predictors: localities, age and education level of the farmers had P values < 0.25 and were the potential predictors in univariate analysis (Figure 2). These three potential predictors were then entered in the multivariate model by following the methodology of Hosmer and Lemeshow [17]. In succeeding steps, the predictors with a P > 0.05 in the previous step were removed from the model until complete loss of fit (P < 0.05) of the model was achieved.
Effect of socio-demographic characters and house fly knowledge on the use of preventive measures against house flies
| | | | | | |
| Multan | 52 | 46.15 | | | |
| Lahore | 50 | 30.00 | | | |
| Faisalabad | 43 | 23.26 | | | |
| Shorkot | 28 | 35.71 | 1.39 | 0.97-1.99 | 0.075 |
| | | | | | |
| Male | 139 | 35.25 | | | |
| Female | 34 | 29.41 | 1.08 | 0.38-3.06 | 0.878 |
| | | | | | |
| ≤ 25 years | 42 | 47.62 | | | |
| 26-39 | 70 | 28.99 | | | |
| ≥ 40 | 61 | 31.14 | 1.08 | 0.61-1.92 | 0.798 |
| | | | | | |
| Illiterate | 80 | 13.75 | | | |
| ≥ primary | 56 | 47.27 | | | |
| ≥ secondary | 27 | 55.56 | | | |
| ≥ graduation | 10 | 70.00 | 0.42 | 0.25-0.71 | 0.001 |
| No problem mentioned | 132 | 30.30 | | | |
| At least one | 41 | 46.34 | 1.22 | 0.44-3.40 | 0.760 |
| No breeding site mentioned | 87 | 16.09 | | | |
| At least one breeding site mentioned | 86 | 52.33 | 0.27 | 0.11-0.66 | 0.004 |
| No preventive measure mentioned | 14 | 42.00 | | | |
| At least one preventive measure mentioned | 159 | 33.33 | 4.42 | 1.14-17.13 | 0.032 |
| 0 | 118 | 34.75 | | | |
| 1 | 36 | 33.00 | | | |
| 2 | 6 | 50.00 | | | |
| 3 | 13 | 23.08 | 1.12 | 0.72-1.75 | 0.605 |
Multivariate logistic regression models of the impact of socio-demographics and house flies knowledge on house flies preventive measures
| Locality + Education + Breeding site knowledge + Preventive measures knowledge + Int** | | 70.51 | ---- |
| Locality + Education + Breeding site knowledge + Preventive measures knowledge | βInt = 0 | 71.78 | 0.866 |
| Education + Breeding site knowledge + Preventive measures knowledge | βLocality = 0 | 74.74 | 0.261 |
| Education + Breeding site knowledge | βPreventive measures knowledge = 0 | 76.76 | 0.043 |
*-2 log likelihood, ** All possible 2 way interactions, £ p values based on chi square of −2 log likelihood difference between the reduced model and initial model. The predictors: locality, education level of the farmers, farmers’ knowledge about house flies breeding sites and preventive measures, had P values < 0.25 and were the potential predictors in univariate analysis (Table 6). These four potential predictors were then entered in the multivariate model by following the methodology of Hosmer and Lemeshow [17]. In succeeding steps, the predictors with a P > 0.05 in the previous step were removed from the model until complete loss of fit (P < 0.05) of the model was achieved.