Larisse B

@boltonl.bsky.social

Applied mathematician | Health data scientist | Data analysis and visualization | Modelling for policy| Researcher at South African Centre for Epidemiological Modelling and Analysis (SACEMA) focused on data science applications to child and maternal health

📢One in 10 babies is born too soon. Prematurity is the #1 cause of preventable child deaths. In many countries, most very preterm babies die within days—yet three‑quarters of these deaths could be prevented with proven care (Source: WHO 2025).

📢 Applications are now open for DAIDD 2025! 💰 Course fee: ZAR 28,000 (incl. meals and accommodation) 🗓️ Application deadline: 01 October 2025 👉 Apply here: lnkd.in/dAT5QX8X ⁉️Researchers in infectious disease modelling, epidemiology, public health, and related fields.

Bild

39 attendees joined our recent seminar on neonatal outbreaks in Africa 🧼🦠 Key insights: — Hospital-acquired pathogens are more common than expected — Rare bugs like Pantoea are deadlier than Klebsiella — Standardised reporting + WGS = 🔑 to tackling future outbreaks #GlobalHealth #NeonatalCare

Image created with AI using OpenAI’s ChatGPT (2025).

🧪 New research alert: The urgent challenge of #NeonatalSepsis in low-resource settings. ⚠️ High AMR ⚠️ Vulnerable newborns ⚠️ Limited diagnostic access. 🔗https://doi.org/10.1186/s12879-024-10219-0 🔗https://doi.org/10.1186/s12879-024-10406-z 🔗https://janeonatology.org/index.php/jan/article/view/105

Source: DALL-E, OpenAI, 2025.