Saifur R Chowdhury

Biographic Data

ID9064743
NAMESaifur R Chowdhury
GIVEN NAMESSaifur R
FAMILY NAMEChowdhury
SIGNATURECHOWDHURY S R
VERIFIEDNo
TOTAL WORKS7
TOTAL CITATIONS0
WORKS AS AUTHOR0
WORKS AS EDITOR7
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0

  • Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults

    Open AccessGulam Muhammed Al Kibria, James Ross O’Hagan et al.EDITORARTICLEPLOS Global Public Health2026

    With rapid urbanization, lifestyle changes, and an aging population, non-communicable diseases (NCDs), including hypertension and diabetes, pose significant public health challenges in Bangladesh and many other low- and middle-income countries. This study used machine learning (ML) approaches to develop predictive models for hypertension and diabetes among Bangladeshi adults. Bangladesh Demographic and Health Survey 2022, a nationally representat…

  • Using DHIS2 routine data for health system preparedness in resource-limited settings

    Open AccessMd Toufiq Hassan Shawon, Toufiq Hassan Shawon et al.EDITORARTICLEPLOS Global Public Health2026

    Health systems in low- and middle-income countries (LMICs) like Bangladesh face persistent challenges in delivering timely and equitable care, often exacerbated by poor planning and inefficient resource allocation. Forecasting service utilization using routine health data can support more responsive and data-driven health system planning, yet such approaches remain under utilized in Bangladesh. By analyzing service utilization trends and projecti…

  • Identifying determinants and predicting cesarean section delivery among Bangladeshi women using machine learning

    Open AccessShamsuz Zoha, Shahin Alam et al.EDITORARTICLEPLOS Global Public Health2025

    Cesarean section (C-section) rates have been rising globally, posing potential health risks for mothers and infants. Understanding the factors that contribute to C-section delivery and leveraging machine learning (ML) techniques for predictive modeling can support targeted interventions and informed policy decisions. This study aimed to identify the determinants of C-section delivery and develop an ML-based predictive model using data from the Ba…

  • Prevalence of irritable bowel syndrome and its association to mental health among the private university students of Dhaka, Bangladesh

    Open AccessA B M Nahid Hasan, Md Asaduzzaman et al.EDITORARTICLEPLOS Global Public Health2025

    Irritable Bowel Syndrome is a common gastrointestinal disorder linked to psychological distress and lifestyle factors. In Bangladesh, young adults may experience exacerbated IBS symptoms due to particular hardships. This study aims to evaluate the prevalence of IBS and its association with mental health status among private university students. A cross-sectional study conducted between November 2023 and May 2024 and involved 550 students aged 19–…

  • Validation of ToucHb, a non-invasive haemoglobin estimation

    Open AccessYogish C Basappa, Sumanth Mallikarjuna Majgi et al.EDITORARTICLEPLOS Global Public Health2024

    Non-invasive methods for haemoglobin estimation hold enormous potential for early detection and treatment of anaemia, especially in limited resource settings. We sought to validate the diagnostic accuracy of ToucHb, a non-invasive haemoglobin estimation device available in the Indian market. We prospectively evaluated the diagnostic performance of the ToucHb device using the Automated complete blood count (CBC) method as the gold standard. Person…

  • Incidence trends and specific risk factors of ischemic heart disease and stroke

    Open AccessRuiqi Xia, Min Cai et al.EDITORARTICLEPLOS Global Public Health2024

    Distribution of risk factors for cardiovascular diseases has been changing globally, which may account for the discrepant temporal trends of ischemic heart disease (IHD) and stroke. To test the hypothesis and identify potential contributing factors, we designed an ecological study based on the GDB-2019 data and extracted age-standardized incidence rates (ASIRs) of IHD and stroke, and summary exposure values (SEVs) of 87 attributable factors. A de…

  • Reducing non-communicable diseases among Palestinian populations in Gaza

    Open AccessSanjay Basu, JOHN YUDKIN et al.EDITORARTICLEPLOS Global Public Health2024

    We sought to assess the effectiveness and cost-effectiveness of potential new public health and healthcare NCD risk reduction efforts among Palestinians in Gaza. We created a microsimulation model using: (i) a cross-sectional household survey of NCD risk factors among 4,576 Palestinian adults aged ≥40 years old in Gaza; (ii) a modified Delphi process among local public health experts to identify potentially feasible new interventions; and (iii) r…