| Literature DB >> 30933984 |
Sangay Rinchen1,2, Tenzin Tenzin3, David Hall2, Frank van der Meer2, Basant Sharma1, Kinzang Dukpa3, Susan Cork2.
Abstract
Rabies remains a disease of significant zoonotic and economic concern in rabies endemic areas of Bhutan. Rabies outbreaks in livestock threaten the livelihoods of subsistence farming communities and pose a potential public health threat. As a part of identifying approaches to prevent rabies in cattle, a Knowledge, Attitude, and Practice (KAP) survey was conducted among cattle owners in selected rural areas of the southern rabies high-risk zone and low-risk zone in eastern Bhutan. Between March and April 2017, 562 cattle owners (281 in the east and 281 in the south) were interviewed using a questionnaire. Eighty-eight percent of the participants had heard of rabies but only 39% of the participants who had heard of rabies had adequate knowledge about rabies. Multivariable logistic regression analysis showed that residing in the south [OR = 9.25 (95% CI: 6.01-14.53)] and having seen a rabies case [OR = 2.46 (95% CI: 1.6-3.82)] were significantly associated with having adequate knowledge about rabies. Based on our scoring criteria, 65% of the total participants who had heard of rabies had a favorable attitude towards rabies control and prevention programs. The participants residing in the east were two times more likely to have a favourable attitude than their counterparts in the south [OR = 2.08 (95% CI: 1.43-3.05)]. More than 70% of the participants reported engaging in farm activities such as examining the oral cavity of sick cattle and assisting cattle during parturition. Only 25% of the participants reported using personal protective equipment while undertaking these activities. Despite a high level of rabies awareness, we observed that there is a lack of comprehensive knowledge about rabies regarding susceptible hosts, transmission routes, the health outcome of rabies infection in humans, and appropriate health-seeking behaviours. This study highlights the need to strengthen rabies education programs in rural communities to address the knowledge gaps that have been identified.Entities:
Mesh:
Year: 2019 PMID: 30933984 PMCID: PMC6459539 DOI: 10.1371/journal.pntd.0007305
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1The map of Bhutan showing rabies high-risk areas (the areas with horizontal shade) and the selected study districts and sub-districts.
The map also shows a sub-district bordering our study areas in the east that has experienced a major rabies outbreak in October 2016. The map was generated using Quantum GIS software specifically for the purpose of this study [12]. The shapefiles for the political boundary of Bhutan including district and sub-district boundaries were obtained from the National Land Commission of Bhutan.
Socio-demographic characteristics of the participants in the selected southern and eastern areas of Bhutan.
| Variables | Categories | South (n = 281) | East (n = 281) | Total (n = 562) | χ2 p-value |
|---|---|---|---|---|---|
| Male | 205 (73) | 99 (35) | 304 (54) | <0.001 | |
| Female | 76 (27) | 182 (65) | 258 (46) | ||
| 18–35 | 76 (27) | 55 (20) | 131 (23) | ||
| 36–53 | 114 (41) | 136 (48) | 250 (45) | ||
| Above 53 | 91 (32) | 90 (32) | 181 (32) | ||
| No education | 176 (62.8) | 173 (61.3) | 349 (62) | ||
| Non-Formal Education | 9 (3.2) | 48 (17.4) | 57 (10.3) | ||
| Primary level | 52 (18.5) | 29 (10.3) | 81 (14.4) | ||
| Lower Secondary | 24 (8.5) | 8 (2.8) | 32 (5.7) | ||
| Higher Secondary | 17 (6) | 6 (2.1) | 23 (4.1) | ||
| University graduate | 2 (0.7) | 1 (0.4) | 3 (0.5) | ||
| Post-graduate | 1 (0.4) | 0 (0) | 1 (0.2) | ||
| Buddhist studies | 0 (0) | 16(5.7) | 16 (2.8) | ||
| Farmer | 237 (84) | 258 (92) | 495 (88) | ||
| Housewife | 21 (8) | 7 (3) | 28 (5) | ||
| Government employee | 4 (1) | 2 (1) | 6 (1) | ||
| Businessman | 7 (3) | 5 (2) | 12 (2) | ||
| Private/corporate sector | 8 (3) | 3 (3) | 11 (2) | ||
| Others | 4 (1) | 6 (2) | 10 (2) | ||
| Rural | 251 (89) | 281 (100) | 532 (95) | ||
| Urban | 30 (11) | 0 (0) | 30 (5) | ||
| Only exotic breeds | 133 (47) | 231 (82) | 364 (65) | ||
| Both the breeds | 148 (53) | 50 (17) | 198 (35) | ||
| Below 4 | 135 (48) | 177 (63) | 312 (55) | ||
| Above 4 | 146 (52) | 104 (37) | 250 (45) | ||
| No | 93 (33) | 62 (22) | 155 (27) | <0.01 | |
| Yes | 188 (67) | 219 (78) | 407 (73) | ||
| No | 152 (46) | 151 (46) | 303 (54) | ||
| Yes | 129 (54) | 130 (54) | 259 (46) |
The figures in the brackets represent percentages
϶ The participants falling under “No education” were considered “Un-educated” while the rest were considered “Educated” for the purpose of statistical analysis.
¶ For analysis purpose, “Farmer” and “Housewife” were considered as “Unemployed” and the rest as “Employed”.
§ p-value of a Fisher’s exact test
¥ Exotic cattle breed includes pure and cross-bred Jersey, Holstein Friesian, and Brown Swiss
Ж Both the exotic breeds mentioned above and the indigenous cattle
Fig 2Participants who had heard of rabies (A) and seen a rabies case in animals or humans (B) categorized by study areas (n = 562).
Fig 3Participants who had “adequate vs inadequate knowledge about rabies” (A) and a “favourable vs unfavourable attitude towards rabies control and prevention programs” (B) categorized by study areas (n = 494).
Logistic regression analysis to understand the association between the explanatory variables and the binary outcome variable–“having adequate knowledge about rabies or not”.
| Variables | Categories | Adequate knowledge | Total | OR (95% CI) | Adjusted OR (95% CI) | |
|---|---|---|---|---|---|---|
| No | Yes | |||||
| Educated | 106 | 81 | 187 | reference | ||
| Un-educated | 193 | 114 | 307 | 0.77 (0.53–1.12) | ||
| Female | 162 | 54 | 216 | reference | ||
| Male | 137 | 141 | 278 | 3.08 (2.11–4.57) | ||
| East | 205 | 38 | 243 | reference | Reference | |
| South | 94 | 157 | 251 | 9.01 (5.91–14.0) | 9.25 (6.01–14.53) | |
| No | 148 | 58 | 206 | reference | Reference | |
| Yes | 151 | 137 | 288 | 2.32 (1.58–3.41) | 2.46 (1.6–3.82) | |
OR = Odds Ratio
CI = Confidence interval
Logistic regression analysis to understand the association between the explanatory variables and the binary outcome variable–“having favourable attitude towards rabies control and prevention program or not”.
| Variables | Categories | Favourable attitude | Total | OR (95% CI) | Adjusted OR (95% CI) | |
|---|---|---|---|---|---|---|
| No | Yes | |||||
| >53 | 51 | 110 | 161 | Reference | ||
| 18–35 | 47 | 62 | 109 | 0.61 (0.37–1.01) | ||
| 36–53 | 73 | 151 | 224 | 0.96 (0.62–1.48) | ||
| South | 79 | 127 | 206 | Reference | reference | |
| East | 92 | 196 | 288 | 2.08 (1.43–3.05) | 2.08 (1.43–3.05) | |
| No | 107 | 144 | 251 | Reference | ||
| Yes | 64 | 179 | 243 | 1.33 (0.91–1.93) | ||
OR = Odds Ratio
CI = Confidence interval
Fig 4Common sources of rabies information reported by the study participants (Note: Since the participants had heard of rabies from multiple sources, the total frequency of this graph will sum up to more than 494 -the total number of participants who had heard about rabies).