Information obtained through the KAP interview schedule and the malaria patient's interview guide were analysed usingsimple statistics including percentages, averages and variability indicators. Data analysis regarding the malaria impact on household/individual labour supply, work time and output was based on counterfactual technique - that is, obtaining data from households and individuals about the number of days spent in farming during a week in the absence of malaria, obtaining estimates of the number of days of complete incapacity per case and the number of days of partial incapacity. From these data, it was computed the amoun of work time lost to malaria illness, the output or labour task forfeited and the wage earnings lost, assuming the individual were to be invovled in agricultural wage labour. Regarding malaria consequences on resource allocation and individual coping strateties to mitigate the adverse economic losses caused by malaria, data were analysed to capture the extent to which farmers shifted resources to "easier" activities or tasks either during a malaria episode or at the begining of the farming year in anticipation of malaria occurrence. Other indicators of coping with malaria which were subject of data analysis, include: adjustments in farmland area cultivated, switching to specific less labour-intensive crops/farming operations, adjustments in farm location (for example, concentrating greater resource and efforts on nearer or homestead farms, compensatory actions such as use of hired labour, and/or drawing on labour of other household members.