Conference Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 392 - Bayesian Analysis of Complex, Structured Health and Social Data
Type: Contributed
Date/Time: Wednesday, August 10, 2022 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Statistical Science
Abstract #323317
Title: Air Pollution Mixtures and Birth Outcome Morbidities
Author(s): Boubakari Ibrahimou*
Companies: Florida International University
Keywords: Air Pollution; Mixtures; Speciation Chemicals; birth outcomes; preeclampsia

Pollution in general and air pollution in particular is a major global issue. This is a challenge for both developed and developing countries. Its negative consequences are varied and include among others, global warming with all its corollaries, reduce agricultural yields and direct health issues. When exposed to pollution for example, children, the elderly and especially pregnant women are more vulnerable. Exposure to fine particulate matter (PM2.5) in the ambient air have been found to be associated with several birth outcomes morbidity such as low birth weight, preeclampsia and placental abruption. As PM2.5 is a complex mixture of several chemicals it is believe that our exposure is not limited to one chemical at the time but to possibly many chemicals that form a mixture. In the literature there are no satisfactory methods of chemical mixtures identification. We propose a new method of identifying mixtures and study their association with some birth outcomes morbidities.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2022 program