A Machine-Learning ETL Extension to DHIS2
Nathan McEachen of TerraFrame Inc. in the U.S. will build an extract, transform and load (ETL) plugin so that diverse types of data on disease incidence, spread, and interventions, recorded with different methods can be easily uploaded into the District Health Information Software version 2 (DHIS2) open-source platform, to better inform disease elimination efforts. The DHIS2 is widely used particularly across sub-Saharan Africa to report, analyze and distribute disease-relevant information. However, data collected using different software or in different formats cannot easily be imported despite their potential significance for disease elimination. In cooperation with the Zambia National Malaria Control Centre (NMCC) and their DHIS2-expert in-country partner organization they will identify user requirements for the plugin, such as the systems being used and the nature of the incompatibilities, and test it with NMCCs in other countries.