| Literature DB >> 26740839 |
Benti Geleta Buli1, Landry Ndriko Mayigane1, Julius Facki Oketta1, Aguide Soumouk1, Tamba Emile Sandouno2, Bole Camara2, Mory Saidou Toure3, Aissata Conde4.
Abstract
INTRODUCTION: Guinea is the third hardest hit country in the region with 2,806 cases and 1,814 deaths as of January 11, 2015 after Sierra Leone and Liberia respectively. This KAP study was conducted in three sub-prefectures of Kouroussa in the Kankan region of Guinea from 15 December 2014 to 15 January 2015. It was conducted with the general objective of examining the knowledge, attitude and practice related to Ebola prevention and care among the public of Kouroussa Prefecture.Entities:
Keywords: Ebola; comprehensive knowledge; misconception; prevention
Mesh:
Year: 2015 PMID: 26740839 PMCID: PMC4695529 DOI: 10.11694/pamj.supp.2015.22.1.6269
Source DB: PubMed Journal: Pan Afr Med J
Ebola KAP survey response rate, Kouroussa, 2015
| Sub-Prefecture | Population | Proportion of Population | Sample Size | Proportion of Sample | Response rate | |
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| Responded | Percentage | |||||
| Kouroussa | 39,611 | 50% | 191 | 50% | 173 | 91% |
| Sanguiana | 23,809 | 30% | 115 | 30% | 108 | 94% |
| Babila | 16,290 | 20% | 78 | 20% | 77 | 99% |
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Community Awareness of Ebola by socio-demographic characteristics, Kouroussa, 2015
| Have heard of EVD | Believe EVD exists in Guinea | Believe EVD exists in Kouroussa | Have heard of EVD survivors | Know number to call | Total respondents | |
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| Kouroussa | 98.8 | 98.3 | 87.1 | 41.5 | 52.6 | 173 |
| Sanguiana | 89.8 | 97.9 | 36.4 | 40.3 | 56.7 | 108 |
| Babila | 100 | 98.7 | 88.7 | 70.1 | 85.7 | 77 |
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| Male | 96.1 | 99.0 | 78.7 | 50.3 | 67.3 | 207 |
| Female | 96.7 | 97.3 | 75.3 | 49.3 | 52.7 | 151 |
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| 18-24 | 97.8 | 97.7 | 75.0 | 47.7 | 79.6 | 45 |
| 25 and above | 96.2 | 98.3 | 76.4 | 49.5 | 58.5 | 313 |
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| Married | 95.7 | 98.0 | 74.1 | 49.4 | 49.4 | 258 |
| Single | 98.6 | 100 | 89.9 | 53.6 | 53.6 | 70 |
| Divorced | 100 | 83.3 | 50.0 | 33.3 | 33.3 | 6 |
| Widowed | 95.5 | 100 | 61.9 | 42.9 | 42.9 | 22 |
| Separated | 100 | 100 | 100 | 0.0 | 0.0 | 2 |
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| No formal education | 92.7 | 97.0 | 70.1 | 39.6 | 39.6 | 177 |
| Primary | 100 | 100 | 71.2 | 46.2 | 46.2 | 52 |
| Secondary | 100 | 98.8 | 84.7 | 62.4 | 62.4 | 85 |
| College/University | 100 | 100 | 87.8 | 65.6 | 65.9 | 41 |
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| Trading | 99.0 | 97.9 | 82.1 | 48.4 | 48.4 | 96 |
| Farmer | 89.9 | 97.5 | 63.8 | 40.0 | 40.0 | 89 |
| Fisher | 90.9 | 100 | 70.0 | 30.0 | 30.0 | 11 |
| Employee (all forms) | 100 | 100 | 83.3 | 69.7 | 69.7 | 66 |
| No job/Unemployed | 97.5 | 97.4 | 77.9 | 50.7 | 50.7 | 79 |
| Other | 100 | 100 | 70.6 | 23.5 | 23.5 | 17 |
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Figure 1Summary of responses on causes of Ebola, Kouroussa, 2015
Percentage of responses about mode of transmission of Ebola, Kouroussa, 2015
| Touching infected person (Alive/dead) | Touching body fluids of symptomatic case | Eating or preparing bush meat | Eating wild fruits | Sperm of infected person | Breast milk of infected mother | ||
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| Kouroussa | 92.6 | 90.1 | 68.4 | 61.4 | 66.7 | 68.4 | 173 |
| Sanguiana | 91.8 | 90.7 | 58.8 | 41.2 | 69.1 | 63.9 | 108 |
| Babila | 85.4 | 83.1 | 83.1 | 75.3 | 81.8 | 84.4 | 77 |
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| Male | 89.5 | 87.4 | 69.4 | 63.3 | 73.9 | 75.4 | 207 |
| Female | 91.8 | 90.4 | 68.5 | 52.7 | 66.4 | 64.4 | 151 |
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| 18-24 | 88.4 | 95.5 | 81.8 | 77.3 | 75.0 | 72.7 | 45 |
| 25 and above | 86.1 | 87.7 | 67.1 | 56.2 | 70.1 | 70.4 | 313 |
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| Married | 87.5 | 86.6 | 67.2 | 58.7 | 69.2 | 70.9 | 258 |
| Single | 97.1 | 91.3 | 72.5 | 65.2 | 79.7 | 71.0 | 70 |
| Divorced | 100 | 100 | 83.3 | 50.0 | s50.0 | 50.0 | 6 |
| Widowed | 100 | 100 | 71.4 | 38.1 | 61.9 | 71.4 | 22 |
| Separated | 100 | 100 | 100 | 100 | 100 | 100 | 2 |
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| No formal education | 90.2 | 90.9 | 66.5 | 53.7 | 68.3 | 72.0 | 177 |
| Primary | 86.5 | 84.6 | 65.4 | 59.6 | 65.4 | 63.5 | 52 |
| Secondary | 92.9 | 89.4 | 72.9 | 63.5 | 72.9 | 71.8 | 85 |
| College/University | 95.1 | 87.8 | 75.6 | 68.3 | 82.9 | 73.2 | 41 |
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| Trading | 84.2 | 82.1 | 71.6 | 65.3 | 81.1 | 73.7 | 96 |
| Farmer | 87.5 | 90.0 | 63.8 | 55.0 | 67.5 | 78.8 | 89 |
| Fisher | 90.0 | 80.0 | 80.0 | 70.0 | 80.0 | 90.0 | 11 |
| Employee (all forms) | 97.0 | 90.9 | 74.2 | 59.1 | 68.2 | 68.2 | 66 |
| No job/ Unemployed | 93.5 | 93.5 | 66.2 | 57.1 | 72.7 | 64.9 | 79 |
| Other | 100 | 94.1 | 64.7 | 41.2 | 23.5 | 41.2 | 17 |
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Attitudes and perceptions of respondents towards prevention of Ebola, Kouroussa, 2015
| Avoid physical contact (alive/dead) | Taking sick person immediately to health facility reduces risk of transmission | Calling health worker immediately | Hiding the sick so that people are not infected | There is nothing someone can do to prevent | Total | |
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| Kouroussa | 97.0 | 92.3 | 92.3 | 34.5 | 47.6 | 168 |
| Sanguiana | 93.8 | 91.8 | 84.5 | 26.8 | 9.3 | 97 |
| Babila | 100.0 | 100.0 | 93.5 | 27.3 | 19.5 | 77 |
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| Male | 96.5 | 94.9 | 91.9 | 34.0 | 29.4 | 190 |
| Female | 97.2 | 92.4 | 88.3 | 26.2 | 31.7 | 141 |
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| 18-24 | 93.0 | 93.0 | 93.0 | 23.3 | 25.6 | 40 |
| 25 and above | 97.3 | 94.0 | 90.0 | 31.8 | 31.1 | 291 |
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| Married | 96.3 | 93.9 | 91.0 | 34.7 | 31.8 | 245 |
| Single | 97.1 | 92.7 | 89.7 | 23.5 | 25.0 | 68 |
| Divorced | 100.0 | 83.3 | 66.7 | 0.0 | 33.3 | 6 |
| Widowed | 100.0 | 100.0 | 90.5 | 19.1 | 33.3 | 21 |
| Separated | 100.0 | 100.0 | 100.0 | 0.0 | 0.0 | 2 |
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| No formal education | 95.7 | 95.1 | 86.5 | 31.9 | 38.7 | 163 |
| Primary | 96.2 | 88.5 | 94.2 | 34.6 | 32.7 | 52 |
| Secondary | 98.8 | 94.0 | 92.8 | 33.7 | 19.3 | 83 |
| College/University | 97.6 | 95.1 | 95.1 | 14.6 | 14.6 | 41 |
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Figure 2Percentages of misconceptions about transmission, prevention and treatment of Ebola, Kouroussa, 2015
Percentage of respondents who correctly identified prevention methods and rejected misconceptions, Kouroussa, 2015
| Accepts three main means of prevention | Rejects three misconceptions | Has comprehensive knowledge (Accepts three main means of prevention and Rejects three misconceptions) | ||||
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| Number | Percent | Number | Percent | Number | Percent | |
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| Kouroussa | 149 | 87.1 | 113 | 66.1 | 43 | 25.2 |
| Sanguiana | 78 | 80.4 | 29 | 26.9 | 56 | 57.8 |
| Babila | 69 | 89.6 | 51 | 66.2 | 24 | 31.2 |
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| Male | 174 | 87.4 | 123 | 61.8 | 63 | 31.7 |
| Female | 122 | 83.6 | 70 | 48.0 | 60 | 41.1 |
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| 18-24 | 38 | 86.4 | 19 | 43.2 | 21 | 47.7 |
| 25 and above | 258 | 85.7 | 174 | 57.8 | 102 | 33.9 |
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| Married | 211 | 85.4 | 146 | 59.1 | 81 | 32.8 |
| Single | 59 | 85.5 | 37 | 53.6 | 25 | 36.2 |
| Divorced | 5 | 83.3 | 1 | 16.7 | 5 | 83.3 |
| Widowed | 19 | 90.5 | 8 | 38.1 | 11 | 52.4 |
| Separated | 2 | 100.0 | 1 | 50.0 | 1 | 50.0 |
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| No formal education | 138 | 84.2 | 89 | 54.3 | 57 | 34.8 |
| Primary | 45 | 86.5 | 35 | 67.3 | 15 | 28.9 |
| Secondary | 72 | 84.7 | 47 | 55.3 | 29 | 34.1 |
| College/University | 38 | 92.7 | 21 | 51.2 | 20 | 48.8 |
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| Trading | 82 | 86.3 | 69 | 72.6 | 22 | 23.2 |
| Farmer | 68 | 85.0 | 45 | 56.3 | 28 | 35.0 |
| Fisher | 9 | 90.0 | 7 | 70.0 | 3 | 30.0 |
| Employee (all forms) | 57 | 86.4 | 32 | 48.5 | 28 | 42.4 |
| No job/ Unemployed | 67 | 87.0 | 38 | 49.4 | 31 | 40.3 |
| Other | 13 | 76.5 | 2 | 11.8 | 11 | 64.7 |
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