The comparison of the mean value of prevalence of illness obtained through the Illness Mapping and that obtained through the household survey were less than two SEM, and provided "good fit".
We obtained demographics, illness severity and co-morbidity data from ICU databases and microbiological diagnoses from departmental electronic records.
It is thus clear that the information obtained through Illness Mapping regarding the prevalence/incidence of prioritized cost generating events is essential for the design and pricing of context-relevant health insurance.
During this evaluation, information was also obtained regarding illnesses and related morbidity among households.
For each complex food outbreak, we partitioned the associated illnesses to the multiple implicated commodities in proportion to the relative numbers of illnesses in all simple food outbreaks that implicated those specific commodities; we then added the results from all outbreaks to obtain commodity illness percentages.
Standardized epidemiologic and clinical data and blood were obtained during acute illness and 2 4 weeks later.
Where participants answered "yes", they were contacted by telephone and details of their infection were obtained using an illness questionnaire.
We have shown in this study that the results obtained through the Illness Mapping method were comparable to those obtained through household survey.
Table 2 illustrates the total cost of illness obtained translating epidemiological figures and utilization rates in monetary terms using the unit cost values previously described.
Data obtained either from Illness Mapping or from a household survey would usually be treated by insurers with some reserve, as both methods are less reliable than actual claims data over a long period of time.
The items addressing helplessness regarding fertility problems were obtained from the Illness Cognition Questionnaire (ICQ) for IVF patients [ 19]; the cut-off score of 14 and above indicated helplessness [ 20].
