From: Applications of Bayesian approach in modelling risk of malaria-related hospital mortality
 | Description | n (per cent)§ |
---|---|---|
Binary variables | Â | Â |
Sex | 1 = female | 1683 (7.7) |
 | 0 = otherwise | 2286 (7.6) |
Day | 1 = if admitted over weekend | 2418 (7.5) |
 | 0 = otherwise | 1492 (7.5) |
Season | 1 = if admitted during dry season | 1128 (5.4) |
 | 0 = otherwise | 1128 (5.4) |
Distance | 1 = if distance travelled is ≤ 5 km | 1938 (7.4) |
 | 0 = otherwise | 1999 (8.8) |
Referral | 1 = if referred to hospital from networking PHC | 1895 (8.8) |
 | 0 = otherwise | 1494 (6.1) |
Metrical variable |  | Mean (SD‡) |
age | Age of child | 30.5 (30.7) |
los | Length of hospital stay | 78.9 (264.1) |
ct | Calendar time | 44.8 (30.1) |
Spatial/heterogeneity variables | Â | Â |
v | 21 structured residential wards effects | Â |
u | 21 unstructured residential wards effects | Â |
h | 23 unstructured primary health care (PHC) facility effects | Â |
N | Total number of observations | 3969 |