Epidemiological Data

To assist clients we have built a database of epidemiological data covering a range of conditions for the countries included in the demographic database. It is not complete, but it does nonetheless have significant coverage. This data can be purchased with the Epidemiological Model where required (but note you can also insert your own epidemiological data into the model).

To see what countries are available by condition select the second item on the list on the left of this page or click here

To see what condition data is available by country select the third item on the list on the left of this page or click here.

Proprietary Epidemiological Data

In addition to using Global Demographics HealthCare Epidemiological data it is possible to insert your own data into the model using a facility built into the model.

The standard format for Epidemiological data for the model is

  • 5 year age groups from 0-4 years to 80+ years

  • Historic ideally from 2005 at least. Forecast to 2037

  • By Gender

Below is an example input table. However, if your data is less complete (for example you do not have all years or age groups are different) we include a facility in the model to estimate the value across all cells in the data grid using the available data.

Example Input Sheet in Epidemiological Model

epi data eg2.jpg

The ideal epidemiological data set should look like the example below - that is all cells are completed for all age and years including the forecast years. This is an example where the prevalence data is percentage of persons (Males in this case) with the condition. The data for the model can be either ‘incidence’ or ‘prevalence’. For incidence (typically cancers) it is usually expressed as cases per 100,000.

For prevalence it is either expressed as cases per 100 or percentage rates. In this example it is prevalence data expressed as a percentage.

epi data eg1.jpg

However, in the real world perfect data sets do not generally exist. The Global Demographics Healthcare Epidemiological model has an input module which can take relatively few observations - at least two age group levels per year and at least 2 years of data (i.e. at least a total of 4 data points) and estimate the possible values for all other age groups and years. Ideally there should be many more data points to work from. But reality is never perfect.

The above was estimated from the table opposite using a non-linear solution. The user of the Epidemiological Model can select either linear or non linear and can retry different solutions to get a sensible estimate.