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Practical Manual - Malareo

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This tells you how wide spread Malaria is within your population. Unlike the common cold which is<br />

transitory in nature, Some strains of Malaria can recur within an infected individual and therefore once<br />

infected the infected numbers can be considered cumulative.<br />

Now you will calculate the prevalence for all Malaria case locations reported. You will do this by creating<br />

a new field in your table and updating it using the field calculator<br />

Make sure your malaria_case-Health_facility.shp file is in the legend. Open the attribute table and<br />

toggle editing on. Within the Window the icon to “New column”<br />

becomes active.<br />

Add a field called “prevalence”, Make the data type decimal<br />

Number (real), the width3 and the Precision 2 (this sets the with<br />

of the column at 3 and allows for 1 decimal place. You can add a<br />

comment To tell users what the column means (prevalence<br />

figures for Malaria 1999 – 2008) Click on OK. You will find the<br />

column at the end of the table<br />

Now you will update this<br />

column.<br />

Open the Field calculator<br />

using the field calculator icon. This opens the filed<br />

calculator.<br />

Within the field calculator you will have to<br />

construct a mathematical formula using the<br />

existing columns to calculate prevalence (This will<br />

be the sum of all infections per year e.g.<br />

SUMOF1999_ divided by the total population<br />

multiplied by 100 to get a percentage)<br />

You will be updating an existing field namely the<br />

column (field) “Prevalence” that you just dreated<br />

The formula to use is shown below and can be<br />

constructed by double clicking on each field and<br />

using the operators to add each one to the Expression.<br />

((SUMOF1999_ + SUMOF2000_ + SUMOF2001_ + SUMOF2002_ + SUMOF2003_ +<br />

SUMOF2004_ + SUMOF2005_ + SUMOF2006_ + SUMOF2007_ +<br />

SUMOF2008_)/POP05)*100<br />

Once complete Toggle editing off and Save changes and you will see a column<br />

QGIS for Malaria Page 60

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