We have been analysing the household census data. One interesting outcome is that we have been able create a map which identifies the location of all ~2,000 households using the GPS data and QGIS software. Being able to visualise the data points on a map (in context with other landmarks, roads and topographical features) allows us to start to understand how individuals living in these households might interact. Some households are along the roads, or in small villages, while others are very isolated.
We have also been ironing out some of the challenges in data entry which we identified during the pilot study, and setting out protocol for data entry staff to follow in order to minimize errors. We have created a codebook for each of the nine kebeles in the study site from the household census data, which lists all the individuals in alphabetical order, with their individual ID numbers and other identifying features (age, education etc.). These codebooks will be used by the data enterers when keying in the social network data from the questionnaires. They will use these codebooks to match the individuals named by the respondents in the name generators questions to their individual ID.