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During the pandemic countries in the African region used data systems they built on top of the WHO Integrated Disease Surveillance and Response (IDSR) framework to track COVID-19 and formulate public health responses. Our IDSR project wrangles these data systems into instances of a common data model and conducts network research on top of them.

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The APHRC-LSHTM-MUBAS IDSR Project

Disambiguation: See this GitHub for a project that creates synthetic IDSR data and ETLs it into an OMOP CDM. See this GitHub for a companion project that creates synthetic IDSR data and ETLs it into yet another OMOP CDM. And see this GitHub for a description of the model we populate with structured metadata that gets shared across sites in a network MedicalObservationalStudy. Alternatively, the APHRC-LSHTM-MUBAS-IDSR-Project is analysis-oriented: it instantiates a MedicalObservationalStudy and specializes it to run with one or more data analysis workbenches in play in a network study.

This project is still in play and has spawned several network studies. Each MedicalObservationalStudy the project spawns has its own Wiki page.

Code for each network study that needs to be shared across sites is stored here. The code for each network study is accompanied by a study-specific ReadMe which renders the code in human readable form.

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During the pandemic countries in the African region used data systems they built on top of the WHO Integrated Disease Surveillance and Response (IDSR) framework to track COVID-19 and formulate public health responses. Our IDSR project wrangles these data systems into instances of a common data model and conducts network research on top of them.

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