Data Systems
Malaria Research & Surveillance Data for Uganda
NMED, DHI, and the RAMP Teams in Kampala and Seattle have developed systems to manage the data and digital objects that support malaria analytics in Uganda. Here, we present an overview of the data assets.
In the following vignettes, we describe a set of github repositories that have been developed to process malaria data from various sources. We offer the following summaries:
Surveillance
Facility Data
Routine data from health facilities in Uganda are the primary source of information for managing malaria. Every week and every month, data from facilities are uploaded to DHIS2 database maintained by DHI. A change-data-capture (CDC) algorithm is run on schedule as part of an extract-transform-load (ETL) to create two databases that can be used by NMED:
Current Malaria Facility Data - an up-to-date SQL data base with a core set of malaria indicators: 1) an algorithm is run to detect outliers; 2) data are checked for consistency; and 3) missing values are imputed.
Raw Malaria Facility Data - an up-to-date SQL data base with a core set of malaria indicators. The data are uncorrected.
To read more, see the vignette on Facility Data
Research Data
PfPR
The Plasmodium falciparum parasite rate (PfPR) is the primary metric used to measure malaria in populations.