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Acta Obstetricia Et Gynecologica Scandinavica|October 23, 2018
Prevalence of and risk factors for abnormal vaginal flora and its association with adverse pregnancy outcomes in a rural district in north-east BangladeshAbdullah H Baqui, Anne C C Lee, Alain K Koffi, et al.Journal of Global Health|July 22, 2022
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 studyRasheda Khanam, Shafiqul Islam, Sayedur Rahman, et al.BMC Pregnancy and Childbirth|January 2, 2020
Urinary tract infections in pregnancy in a rural population of Bangladesh: population-based prevalence, risk factors, etiology, and antibiotic resistanceAnne Cc Lee, Luke C Mullany, Alain K Koffi, et al.Molecular Omics|September 14, 2021
Maternal serum lipidomics identifies lysophosphatidic acid as a predictor of small for gestational age neonatesSeul Kee Byeon, Rasheda Khanam, Sayedur Rahman, et al.Vaccine|September 1, 2021
Impact of national introduction of ten-valent pneumococcal conjugate vaccine on invasive pneumococcal disease in Bangladesh: Case-control and time-trend studiesAbdullah H Baqui, Alain K Koffi, Eric D McCollum, et al.Plos One|February 7, 2022
Burden and risk factors for antenatal depression and its effect on preterm birth in South Asia: A population-based cohort studyRasheda Khanam, Jennifer Applegate, Imran Nisar, et al.Journal of Global Health|May 2, 2022
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 AfricaSunil Sazawal, Sayan Das, Kelli K Ryckman, et al.Plos One|February 14, 2020
Population-based incidence and serotype distribution of invasive pneumococcal disease prior to introduction of conjugate pneumococcal vaccine in BangladeshAbdullah H Baqui, Eric D McCollum, Arif Mahmud, et al.Journal of Global Health|July 30, 2021
Using AMANHI-ACT cohorts for external validation of Iowa new-born metabolic profiles based models for postnatal gestational age estimationSunil Sazawal, Kelli K Ryckman, Harshita Mittal, et al.BMC Pregnancy and Childbirth|September 8, 2021
Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan AfricaSunil Sazawal, Kelli K Ryckman, Sayan Das, et al.Pageof 14