Input data for the Brazil and Malawi case examples
| Model elements | Brazil ALL | Malawi BL | Reference |
|---|---|---|---|
| Age weight | 1 | 1 | Murray19 |
| Constant weight | 0.1658 | 0.1658 | Murray19 |
| Parameter of the age weighting function | 0.04 | 0.04 | Murray19 |
| Disability weight for type of cancer | 0.09 | 0.06 | Mathers22 |
| Brazil and Malawi GDP per capita 2011 estimate, US$ | $11 900 | $900 | World Factbook21 |
| Brazil and Malawi life expectancy, years | 72.79 | 52.31 | World Factbook21 |
| Age at diagnosis, years | 5.4 | 6.9 | Howard25 Hesseling26 |
| Number of new leukaemia cases in Brazil | 1724 | – | Ferlay1 |
| Number of new non-Hodgkin's lymphoma cases in Malawi | – | 497 | Ferlay1 |
| Proportion of leukaemia that is ALL | 0.78 | – | Xie24 |
| Proportion of non-Hodgkin's lymphoma that is BL | – | 0.9 | Molyneux3 |
| Proportion of patients completing treatment | 0.99 | 1 | Howard25 Hesseling26 |
| Proportion of patients achieving event-free survival | 0.63 | 0.48 | Howard25 Hesseling26 |
| Duration of disability during treatment, years | 2 | 0.15 | Howard25 Hesseling26 |
ALL, acute lymphoblastic leukaemia; BL, Burkitt lymphoma; GDP, gross domestic product.