Project overview
Across the Democratic Republic of Congo and Mozambique, health systems now collect detailed immunisation data every month, yet turning those records into estimates reliable enough to show where children are being missed remains hard. This award brings together teams that have each solved part of that problem, to build a shared approach together.
In DRC, the Kinshasa School of Public Health and Bluesquare have a long-standing partnership: with Enabel (the Belgian development agency) they have run immunisation campaigns driven by granular, GIS-enabled digital data-collection systems. What is missing is a formal statistical framework to quantify uncertainty and target areas for data collection. In Mozambique, I have worked with the Ministry of Health on using routine information systems in combination with probability samples to estimate health services' coverage (British Academy-Leverhulme Trust Small Research Grant and World Health Organisation research contract). There is a strong link, but the methodological questions are routine-data quality and how to feed new data in as it arrives.
The two settings are complementary: DRC's strength in interactive digital health and campaign data meets Mozambique's strength in calibration and adaptive sampling, and each answers what the other needs. The activity is a South-South collaboration: a co-design workshop in Maputo where partners specify a shared framework and analytical protocol, assemble a combined routine-and-survey dataset, build a working prototype, and co-author a methods paper.
In DRC, the Kinshasa School of Public Health and Bluesquare have a long-standing partnership: with Enabel (the Belgian development agency) they have run immunisation campaigns driven by granular, GIS-enabled digital data-collection systems. What is missing is a formal statistical framework to quantify uncertainty and target areas for data collection. In Mozambique, I have worked with the Ministry of Health on using routine information systems in combination with probability samples to estimate health services' coverage (British Academy-Leverhulme Trust Small Research Grant and World Health Organisation research contract). There is a strong link, but the methodological questions are routine-data quality and how to feed new data in as it arrives.
The two settings are complementary: DRC's strength in interactive digital health and campaign data meets Mozambique's strength in calibration and adaptive sampling, and each answers what the other needs. The activity is a South-South collaboration: a co-design workshop in Maputo where partners specify a shared framework and analytical protocol, assemble a combined routine-and-survey dataset, build a working prototype, and co-author a methods paper.
