Sayedur Rahman
Projahnmo Research Foundation, Johns Hopkins University, Bangladesh, Uppsala University, University of Rajshahi, International Centre for Diarrhoeal Disease Research, Bangladesh
Research areas: Medicine · Pediatrics, Perinatology and Child Health · Maternal and Neonatal Healthcare · Metabolomics and Mass Spectrometry Studies · Preterm Birth and Chorioamnionitis
0000-0002-4445-3699
About
• A medical doctor and public health researcher with vast experience in managing population-based research projects including clinical trials in low-resource settings
• Research interests lie in the areas of maternal, newborn and child health, biomarkers to predict adverse birth outcomes, infectious diseases, non-communicable diseases, and health systems
• Experienced in using quantitative and mixed methods approaches in conducting research studies
• Proficient in performing advanced data analysis using Stata and SPSS
• Possess excellent communication and scientific writing skills and publishing capacity.
Employment
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Projahnmo Research Foundation Deputy Research Director2018 - 2021
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Johns Hopkins University, Bangladesh Study Manager2014 - 2017
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International Centre for Diarrhoeal Disease Research, Bangladesh Medical Officer2011 - 2014
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Bangabandhu Sheikh Mujib Medical University Program Officer2010 - 2011
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Child Health Research Foundation Study Manager2009 - 2009
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International Centre for Diarrhoeal Disease Research Medical Officer2006 - 2009
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International Centre for Diarrhoeal Disease Research Project Research Physician2002 - 2006
Education
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Uppsala University MMSc (Global Health)
Projects & Funding
Projects & funding information is unavailable.
Publications (29)
- Breast milk macronutrients and offspring growth and neurodevelopment in a lactation cohort in rural Bangladesh Save
- Association between maternal haemoglobin status during pregnancy and children’s mental and psychomotor development at 18 months of age: Evidence from rural Bangladesh Save
- Comparative predictive power of serum vs plasma proteomic signatures in feto-maternal medicine. Save
- Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries. Save
- Vulnerable newborn types: analysis of subnational, population‐based birth cohorts for 541 285 live births in 23 countries, 2000–2021 Save
- Vitamin D deficiency in pregnancy and the risk of preterm birth: a nested case–control study Save
- Performance of a validated spontaneous preterm delivery predictor in South Asian and Sub-Saharan African women: a nested case control study Save
- Sero-prevalence and risk factors for Severe Acute Respiratory Syndrome Coronavirus 2 infection in women and children in a rural district of Bangladesh: A cohort study Save
- Cord Blood Inflammation and Birth Size in the Bangladesh Projahnmo Pregnancy Cohort Save
- Prediction of gestational age using urinary metabolites in term and preterm pregnancies Save
- Machine learning prediction of gestational age from metabolic screening markers resistant to ambient temperature transportation: Facilitating use of this technology in low resource settings of South Asia and East Africa Save
- Population-based rates, risk factors and consequences of preterm births in South-Asia and sub-Saharan Africa: A multi-country prospective cohort study Save
- Burden and risk factors for antenatal depression and its effect on preterm birth in South Asia: A population-based cohort study Save
- Cohort Profile: The Alliance for Maternal and Newborn Health Improvement (AMANHI) biobanking study Save
- Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa Save
- Maternal Diet, Infection, and Risk of Cord Blood Inflammation in the Bangladesh Projahnmo Pregnancy Cohort Save
- Maternal serum lipidomics identifies lysophosphatidic acid as a predictor of small for gestational age neonates Save
- Association of maternal prenatal selenium concentration and preterm birth: a multicountry meta-analysis Save
- Simplified models to assess newborn gestational age in low-middle income countries: findings from a multicountry, prospective cohort study Save
- Using AMANHI-ACT cohorts for external validation of Iowa new-born metabolic profiles based models for postnatal gestational age estimation Save