Table 4.
Prevalence of malaria across wealth quartiles in most recent survey year by country*
| Year | WQ 1 | WQ 2 | WQ 3 | WQ 4 | Diff | Ratio | |
|---|---|---|---|---|---|---|---|
| Benin |
2017 |
0.206 (0.193 to 0.218) |
0.187 (0.177 to 0.197) |
0.154 (0.145 to 0.164) |
0.074 (0.069 to 0.080) |
0.131 |
2.763 |
| Burkina Faso |
2010 |
0.355 (0.338 to 0.372) |
0.359 (0.341 to 0.377) |
0.327 (0.309 to 0.345) |
0.243 (0.227 to 0.260) |
0.111 |
1.457 |
| Congo Democratic Republic |
2013 |
0.165 (0.159 to 0.171) |
0.146 (0.137 to 0.155) |
0.123 (0.114 to 0.132) |
0.076 (0.069 to 0.082) |
0.089 |
2.183 |
| Gambia |
2013 |
0.009 (0.008 to 0.010) |
0.012 (0.010 to 0.014) |
0.006 (0.005 to 0.008) |
0.005 (0.004 to 0.006) |
0.004 |
1.796 |
| Ghana |
2014 |
0.269 (0.252 to 0.286) |
0.177 (0.157 to 0.196) |
0.108 (0.094 to 0.122) |
0.008 (0.001 to 0.015) |
0.261 |
34.136 |
| Senegal |
2017 |
0.024 (0.024 to 0.025) |
0.005 (0.004 to 0.005) |
-0.001 (-0.001 to 0.000) |
-0.002 (-0.003 to 0.002) |
0.026 |
-11.710 |
| Togo | 2013 | 0.249 (0.234 to 0.263) | 0.205 (0.189 to 0.222) | 0.127 (0.114 to 0.140) | 0.047 (0.038 to 0.055) | 0.202 | 5.339 |
*Note: Predicted prevalence of malaria across wealth quartiles for each country in the most recent survey. Predicted prevalence is calculated from a country-specific regression of disease on wealth controlling for child’s gender and age in years, mother’s age at birth of the child, mother’s educational level, location of the household (rural/urban), and survey-year fixed effects. 95% confidence intervals in parentheses. Column “Diff” contains the percentage point difference between the predicted prevalence in the poorest and richest wealth quartile. Column “Ratio” contains the ratio of the predicted prevalence rate in the poorest to that in the richest quartile (prevalence WQ1 / prevalence WQ4).