Mohammad Safi Uddin
Biographic Data
| ID | 9067092 |
|---|---|
| NAME | Mohammad Safi Uddin |
| GIVEN NAMES | Mohammad Safi |
| FAMILY NAME | Uddin |
| SIGNATURE | UDDIN M S |
| AFFILIATIONS | Meiji University |
| ORCID | 0009-0006-5560-7485 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Spatiotemporal analysis of contraceptive deserts and adolescent fertility clusters in South Asia
‘Adolescent fertility’ and ‘teenage motherhood’ are key factors that sustain cycles of poverty across generations in South Asia. Yet there is limited research on how these outcomes are geographically clustered and how ‘contraceptive deserts’, areas with very poor access to family planning, affect nearby regions. This study explores: (i) Where are the geographic clusters of adolescent fertility and teenage motherhood? (ii) How do socioeconomic fac…
Unveiling socio-demographic determinants of low birth weight using machine learning techniques
Low birth weight (LBW) poses significant challenges to child survival, contributing to increased rates of mortality and morbidity, and has long-term adverse effects on overall health. The persistently high prevalence of LBW in low- and middle-income countries, including Bangladesh, reflects underlying health disparities. Despite recent improvements, Bangladesh still reports a notable LBW rate of 14.5%, indicating persistent maternal and child hea…
No prominent works on this page.
Spatiotemporal analysis of contraceptive deserts and adolescent fertility clusters in South Asia
‘Adolescent fertility’ and ‘teenage motherhood’ are key factors that sustain cycles of poverty across generations in South Asia. Yet there is limited research on how these outcomes are geographically clustered and how ‘contraceptive deserts’, areas with very poor access to family planning, affect nearby regions. This study explores: (i) Where are the geographic clusters of adolescent fertility and teenage motherhood? (ii) How do socioeconomic fac…
Unveiling socio-demographic determinants of low birth weight using machine learning techniques
Low birth weight (LBW) poses significant challenges to child survival, contributing to increased rates of mortality and morbidity, and has long-term adverse effects on overall health. The persistently high prevalence of LBW in low- and middle-income countries, including Bangladesh, reflects underlying health disparities. Despite recent improvements, Bangladesh still reports a notable LBW rate of 14.5%, indicating persistent maternal and child hea…
Global Maternal and Child Health (2 works) · AdaBoost (1 work) · Child Nutrition and Water Access (1 work) · Decision tree (1 work) · Fertility (1 work) · Gestational Diabetes Research and Management (1 work) · Lasso (programming language) (1 work) · Literacy (1 work) · Logistic regression (1 work) · Low birth weight (1 work)