paper-with-me

홈 › Papers

Ramadan and Infants Health Outcomes

2021-01-09 · Hossein Abbaszadeh Shahri

Previous studies show that prenatal shocks to embryos could have adverse impacts on health endowment at birth. Using the universe of birth data and a difference-in-difference-in-difference strategy, I find that exposure to Ramadan during prenatal development has negative birth outcomes. Exposure to a full month of fasting is associated with 96 grams lower birth-weight. These results are robust across specifications and do not appear to be driven by mothers selective fertility.

📄 PDF Abstract BibTeX arXiv:2101.03259

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Review: dual benefits, compositions, recommended storage, and intake duration of mother's milk

2019-05-28 · Ammu Prasanna Kumar, Suryani Lukman

Breastfeeding benefits both infants and mothers. Nutrients in mother's milk help protect infants from multiple diseases including infections, cancers, diabetes, gastrointestinal and respiratory diseases. We performed lit…

Literature Mining

Preterm infants' pose estimation with spatio-temporal features

2020-05-08 · Sara Moccia, Lucia Migliorelli, Virgilio Carnielli, Emanuele Frontoni

Objective: Preterm infants' limb monitoring in neonatal intensive care units (NICUs) is of primary importance for assessing infants' health status and motor/cognitive development. Herein, we propose a new approach to pre…

Pose Estimation

Iris Recognition for Infants

2025-01-02 · Rasel Ahmed Bhuiyan, Mateusz Trokielewicz, Piotr Maciejewicz, Sherri Bucher 외

Non-invasive, efficient, physical token-less, accurate and stable identification methods for newborns may prevent baby swapping at birth, limit baby abductions and improve post-natal health monitoring across geographies,…

HumanitarianIris Recognition

Computational Challenges in Non-parametric Prediction of Bradycardia in Preterm Infants

2020-11-17 · Sinjini Mitra

Infants born before 37 weeks of pregnancy are considered to be preterm. Typically, preterm infants have to be strictly monitored since they are highly susceptible to health problems like hypoxemia (low blood oxygen level…

Density Estimation

Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data

2019-02-22 · PLOS ONE 2019 2 · Aaron J. Masino, Mary Catherine Harris, Daniel Forsyth, Svetlana Ostapenko 외

Background Rapid antibiotic administration is known to improve sepsis outcomes, however early diagnosis remains challenging due to complex presentation. Our objective was to develop a model using readily available elect…

Cultural Vocal Bursts Intensity Prediction