AI Insight
Researchers established a village-level surveillance system in Uganda's Jinja District using 813 trained health workers to track neonatal health outcomes through household visits. Since June 2025, the system has recorded over 5,700 newborn encounters, identifying a neonatal mortality rate of 21.5 per 1,000 live births and detecting higher than expected rates of neural tube defects associated with low folic acid use during pregnancy. The platform uses real-time mobile data collection with automated quality controls achieving 99% data accuracy while mapping geographic hotspots of infection risk.
Why it matters
This community-based surveillance captures births and deaths that occur outside healthcare facilities, addressing a critical gap in neonatal health data for sub-Saharan Africa where many deliveries happen at home. The real-time identification of geographic disease clusters and modifiable risk factors like folic acid deficiency enables targeted interventions that could significantly reduce preventable neonatal deaths and disabilities.
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⚠️ Preprint – Noch nicht peer-reviewed
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Introduction Neonatal mortality remains disproportionately high in sub-Saharan Africa, where an estimated 27 neonatal deaths per 1,000 live births occur annually. Infections, including sepsis and meningitis, account for a substantial proportion of these deaths, while neural tube defects (NTDs) contribute significantly to both neonatal mortality and long-term disability. Existing surveillance systems in the region are predominantly facility-based, missing the substantial proportion of births and deaths that occur in the community. Population-based surveillance platforms that capture community-level data are urgently needed to generate accurate incidence estimates, identify modifiable risk factors, and guide evidence-based interventions. Cohort Description The Consortium to Reduce Infant Mortality (CONRIM) is a multi-institutional partnership among Ugandan physicians and scientists, Yale University, Penn State University, Boston Children’s Hospital/Harvard Medical School, and Uganda’s National Planning Authority. CONRIM conducts prospective, community-based neonatal surveillance within the Busoga Kingdom in eastern Uganda. A network of 813 trained Village Health Team members conducts household-level visits using a structured Open Data Kit (ODK)-based mobile questionnaire to capture every birth, assess for danger signs of possible serious bacterial infection (pSBI), screen for NTDs, and record maternal nutrition and folic acid use, water, sanitation and hygiene (WASH) conditions, and health care utilization. Findings to Date Since surveillance began in June 2025, the platform has registered approximately 22,200 household submissions and over 5,700 newborn encounters across the Jinja District (population 660,000). Early data have identified higher than expected rates of infants with NTDs including encephalocele and spina bifida; documented folic acid non-use in before and during most pregnancies; characterized WASH conditions in birthplaces; and mapped geospatial hotspots of neonatal infection risk in northeastern rural subcounties. Prospective 28-day follow-up of all live births has demonstrated a neonatal mortality rate of 21.5 per 1000 live births. A real-time data quality monitoring system with 21 automated quality control flags maintains a 99% clean-record rate. Future Plans Ongoing and planned activities include laboratory-based confirmation of neonatal sepsis via blood culture and cerebrospinal fluid analysis with polymerase chain reaction capacity, portable neuroimaging for NTDs, environmental sampling, genomic studies of folate metabolism pathway genes, linkage with facility-based records at Jinja Regional Referral Hospital and Mulago National Referral Hospital, and community-level interventions informed by surveillance findings.