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Simplifying malaria stratification in Kenya for country-led intervention mapping

CHISU developed a user-friendly malaria stratification tool that leverages the open-source software JAMOVI to analyze routine HMIS data. This novel approach does not require complex modeling, allowing National Malaria Control Program (NMCP) staff to perform malaria stratification independent of donor support. 

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Reducing data entry errors for improved data use to target malaria interventions in Ghana

Published

CHISU supported the Ghana Health Service to improve malaria data by developing and deploying a semi-automated data validation and analysis tool in MS Excel to help data officers efficiently identify malaria data inconsistencies and incompleteness. Read more ›