Table 2.
Association between respondent socio-demographic characteristics and knowledge about malaria
| What do you think causes malaria? | Yates’ Chi square | ||
|---|---|---|---|
| The bite of an infected mosquito | Overworking in the sun | ||
| Gender | 2.680 | ||
| Male | 154 [97%] | 4 [3%] | |
| Female | 179 [100%] | 0 [0%] | |
| Age | 0.094 | ||
| 20–49 | 271 [99%] | 4 [1%] | |
| 50–79 | 62 [100%] | 0 [0%] | |
| Education | 0.006 | ||
| Primary/middle/junior high | 295 [99%] | 4 [1%] | |
| Secondary/tertiary | 38 [100%] | 0 [0%] | |
| Religion | 12.731* | ||
| Christian | 303 [99.7%] | 1 [0.3%] | |
| Other | 30 [91%] | 3 [7%] | |
| Ethnicity | 0.162 | ||
| Ga-Adangbe | 174 [98%] | 3 [2%] | |
| Other | 159 [99%] | 1 [1%] | |
* Yates’ p value < 0.001