The goal of this observational study is to develop a risk prediction model for early-onset neonatal sepsis in term and late preterm neonates in Uganda and Zimbabwe. The main questions it aims to answer are: * What are the risk factors for early-onset neonatal sepsis in low-resource settings? * How can these be combined into a risk prediction model? Mother-baby pairs will be recruited in Uganda. They will have extensive data taken on their medical and obstetric histories and lifestyles, and their newborns will have a blood sample taken just after birth for culture. Machine learning techniques will be used to create the risk prediction model, which will then be validated in a second population in Zimbabwe.
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Positive blood culture amongst neonatal participants
Timeframe: Sample taken in first 48 hours of life