In previous modules, we demonstrated how to carry out various analyses using QGIS. We also provided examples of programmatic questions that could be answered.
In this section, we offer users a 'cheat sheet,' or a consolidated list that aligns questions of interest with analytic approaches.
Questions | Potential Methods |
---|---|
1. Understand variations in HIV burden by geographical boundary | |
a. HIV prevalence | Coverage mapping, confidence intervals, and interpolation |
b. HIV positivity | Coverage mapping, confidence intervals, and interpolation |
c. People living with HIV (PLHIV) | Coverage mapping |
2. Understand variations in HIV burden over time (trends over time | Mapping change and confidence intervals |
3. Understand ART coverage by geographical boundar | Coverage mapping |
4. Understand program coverage by geographical boundary | |
a. ART service provision sites | Working with x,y data and proximity analysis |
b. HIV testing sites | Working with x,y data and proximity analysis |
c. Clinical monitoring sites | Working with x,y data and proximity analysis |
5. Identify potential HIV hotspots (areas where HIV transmission may be high/low) | Density mapping |
6. Identify any potential clustering | |
a. Key population group | Density mapping |
b. HIV case | Density mapping |
c. Sites where key population groups congregate | Density mapping, proximity analysis |
7. Predict where more PLHIV are located | Interpolation |