| Literature DB >> 27264269 |
Hai Jiang1,2, Guo-Qing Shi3,2, Wen-Xiao Tu3,2, Can-Jun Zheng2, Xue-Hui Lai2, Xin-Xu Li2, Qiang Wei2, Mei Li2, Li-Quan Deng2, Xiang Huo2, Ming-Quan Chen2, Feng Xu2, Long-Jie Ye2, Xi-Chen Bai2, Tong-Nian Chen2, Shao-Hua Yin2, Thomas T Samba4, Xiao-Feng Liang5,6.
Abstract
BACKGROUND: The recent outbreak of the Ebola virus disease (EVD) in Sierra Leone has been characterized by the World Health Organization as one of the most challenging EVD outbreaks to date. The first confirmed case in Sierra Leone was a young woman who was admitted to a government hospital in Kenema following a miscarriage on 24 May 2014. On 5 January 2015, intensified training for an EVD response project was initiated at the medical university of Sierra Leone in Jui. To understand the knowledge, attitudes, practices, and perceived risk of EVD among the public, especially after this training, a rapid assessment was conducted from 10 to 16 March 2015.Entities:
Keywords: Attitude; Ebola; ITERP; Knowledge; Practice; Risk perception; Sierra Leone
Mesh:
Year: 2016 PMID: 27264269 PMCID: PMC4893841 DOI: 10.1186/s40249-016-0142-9
Source DB: PubMed Journal: Infect Dis Poverty ISSN: 2049-9957 Impact factor: 4.520
Sociodemographic characteristics of 466 participants in three communities of Sierra Leone, 2015
| Variable |
|
|---|---|
| Community | |
| Kossoh town | 79(16.95) |
| Jui | 160(34.33) |
| Grafton | 227(48.71) |
| Sex | |
| Male | 224(48.07) |
| Female | 242(51.93) |
| Occupation | |
| Student | 23(4.93) |
| Teacher | 35(7.51) |
| Company staff | 37(7.94) |
| Government staff | 62(13.30) |
| Other | 71(15.24) |
| Petty trading | 97(20.81) |
| Businessperson | 147(31.54) |
| Education | |
| Primary school | 62(13.30) |
| High school | 74(15.88) |
| Illiterate | 98(21.03) |
| University | 103(22.10) |
| Junior high school | 139(27.68) |
| Religion | |
| Christian | 208(44.63) |
| Muslim | 258(55.37) |
Fig. 1Rate of awareness of Ebola signs and symptoms
Fig. 2Rate of awareness of Ebola transmission routes and control measures
Fig. 3Ebola infections and related awareness
Association between the variables of community and occupation, and risk perceptiona
| Characteristics | Odds ratios | (95 % |
|
|---|---|---|---|
| Community | |||
| Jui | 0.29 | (0.19,0.44) | <.001 |
| Kossoh Town | 0.05 | (0.03,0.12) | <.001 |
| Grafton | Ref | ||
| Occupation | |||
| Government staff | 0.62 | (0.32,1.17) | 0.139 |
| Company staff | 1.30 | (0.61,2.77) | 0.497 |
| Petty trading | 3.18 | (1.83,5.54) | <.001 |
| Teacher | 1.25 | (0.51,3.03) | 0.624 |
| Student | 0.61 | (0.26,1.46) | 0.271 |
| Other | 0.94 | (0.54,1.64) | 0.829 |
| Businessperson | Ref |
aMultivariable logistic regression done by ordinal regression on SPSS 20.0 using the logit method
Fig. 4Mobility of the population in last three months
Fig. 5Frequency of going to urban areas
Fig. 6Primary channel of receiving information about EVD