🌟 Enhancing Environmental Monitoring to Improve Birth Outcomes

👩‍🏫 Presented by: Dr. Emma Brookman
📘 Title: Preferential Sampling of Environmental Monitoring Networks for Use in Downstream Causal Analysis of Adverse Birth Outcomes: A Bayesian Framework
📍 Event: Global Public Health and Epidemiology Congress 2026
📅 Dates: September 21–23, 2026 | London & Online

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📊 Strengthening Public Health with Better Data

Understanding how environmental exposures affect birth outcomes is crucial for public health. In this session, Dr. Emma Brookman unfolds a cutting-edge Bayesian framework that uses preferential sampling to improve the usefulness of environmental monitoring networks for downstream causal analysis. This method enhances the accuracy of linking environmental risks with adverse birth outcomes — a vital step toward better prevention strategies.

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💡 What You’ll Learn

• How environmental monitoring can be optimized using statistical innovation.
• Why Bayesian techniques improve causal analysis in health research.
• The role of advanced analytics in understanding maternal and child health risks.
• Ways this framework supports evidence-based public health planning.

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🌍 Why This Matters

Reliable environmental data and robust analytical frameworks are essential to tackling health risks that affect vulnerable populations. Dr. Brookman’s approach represents a significant advance in environmental epidemiology, helping researchers and policymakers move from observation to action.

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📌 Conference Participation

Don’t miss this opportunity to explore groundbreaking methods in environmental health research at one of the most impactful public health forums of the year!

📝 Submit Abstract: https://globalpublichealthcongress.com/abstract-submission
👉 Register Now: https://globalpublichealthcongress.com/register
📩 info@globalpublichealthcongress.com | 💬 WhatsApp: +1 (424) 377-0967
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