Short Biography
Sukanta Das is an accomplished statistician who earned his bachelor's and master's degrees in Applied Statistics from the Institute of Statistical Research and Training (ISRT), University of Dhaka, Bangladesh. Mr. Das is currently working as an Assistant Professor in the Department of Statistics, Faculty of Science, at Begum Rokeya University,...
| Degree Name | Group/Major Subject | Board/Institute | Passing Year | No education info is found |
|---|
Research Activities & Consultancy
| Title | Organization | Role | Fund | Year |
|---|---|---|---|---|
| Association and inequality between socioeconomic status and the prevalence of overweight and obesity among adults aged 18 and older in Bangladesh | University Grants Commission of Bangladesh and Begum Rokeya University, Rangpur | Principal Investigator | Yes | 2022-2023 |
| Level of Depression and Its Associated Factors among University Students: A Case Study from Begum Rokeya University, Rangpur of Bangladesh | Begum Rokeya University, Rangpur | Principal Investigator | N/A | 2021 |
| Prevalence of hypertension and its significant correlates among Bangladeshi adults: a quantitative analysis from City Corporation Rangpur, Bangladesh | Begum Rokeya University, Rangpur | Principal Investigator | N/A | 2019 |
| Variability of Malnutrition by Gender among Under Five Children in Bangladesh: Illustration Using Bangladesh Demographic and Health Survey, 2011 and 2014 Data | Begum Rokeya University, Rangpur | Principal Investigator | N/A | 2019 |
| Organization | Type | Year |
|---|---|---|
| Institute of Statistical Research and Training Alumni Association, University of Dhaka | Life member | 2018-Onwards |
| Registered Graduate, University of Dhaka | Life member | 2022-Onwards |
| Journal | |
|---|---|
| 1 |
Sukanta Das, Manabika Debnath, Sunanda Das, Snigdha Sarkar, Afrin Sadia Rumana
: Association of overweight and obesity with hypertension, diabetes and comorbidity among adults in Bangladesh: Evidence from nationwide Demographic and Health Survey 2017–2018 data,
BMJ Open
, (impact factor: 2.9),
2022 .
|
| 2 |
Jahidur Rahman Khan, Abu Saleh Mosa Faisal, Sukanta Das, Nabil Awan
: Identifying overnutrition risk groups in Bangladeshi married women based on sociodemographic factors: A classification and regression tree model,
Obesity Medicine
, (impact factor: Impact Score: 3.15),
2022 .
|
| 3 |
Sabuj Kanti Mistry, ARM Mehrab Ali, Uday Narayan Yadav, Sukanta Das, Nahida Akter, Md Nazmul Huda, Setho Hadisuyatmana, Sajedur Rahman, David Lim, Mohammad Mahmudur Rahman
: COVID-19 related anxiety and its associated factors: a cross-sectional study on older adults in Bangladesh,
BMC Psychiatry
, (impact factor: 4.4),
2022 .
|
| 4 |
Afsana Anwar, Uday Narayan Yadav, Md. Nazmul Huda, Sukanta Das, Simon Rosenbaum, A. R. M. Mehrab Ali, Probal Kumar Mondal, Abu Ansar Md. Rizwan, Syed Far Abid Hossain, Suvasish Das Shuvo & Sabuj Kanti Mistry
: Anxiety and stress related to COVID-19 Among the community dwelling older adults residing in the largest refugee camp of the world,
Community Mental Health Journal
, (impact factor: 2.7),
2023 .
|
| 5 |
Biplab Biswas,Nishith Kumar,Md. Matiur Rahaman,Sukanta Das,Md. Aminul Hoque
: Socioeconomic inequality and urban-rural disparity of antenatal care visits in Bangladesh: A trend and decomposition analysis,
PLoS One
, (impact factor: 3.7),
2024 .
|
| 6 |
Sukanta Das
: Association of hypertension with overweight and obesity among adults in Rangpur region of Bangladesh: A cross-sectional study,
Human Nutrition & Metabolism
, (impact factor: Scopus Indexed, CiteScore: 3.5),
2024 .
|
| 7 |
Md Shahjaman, Fatema Tuz Zohora Jui, Tania Islam, Sukanta Das & Md Rezanur Rahman
: Improved identification of core biomarkers and drug repositioning for ovarian cancer: an integrated bioinformatics approach,
Network Modeling Analysis in Health Informatics and Bioinformatics
, (impact factor: 2.3),
2020 .
|
| 8 |
Sukanta Das, Mst Sirajum Munira, BK Chakravorti
: A Study on Breast Cancer Awareness in Female Students of Begum Rokeya University, Rangpur: A Cross-Sectional Study,
Indian Journal of Public Health Research and Development
, (impact factor: Scopus Indexed, CiteScore: 0.1 (2018)),
2019 .
|
| 9 |
Sukanta Das
: Monte Carlo Method Using Different Types of Quasi- Random Sequences for Estimating Low-dimensional Nonlinear Mixed Effects Model,
Journal of Statistics Applications & Probability Letters: An International Journal
, (impact factor: N/A),
2022 .
|
| Title | Event | Year |
|---|---|---|
| Research grant | The research grant is jointly funded by the University Grants Commission of Bangladesh and Begum Rokeya University, Rangpur | 2023-2024 |
Sukanta Das
Assistant Professor
Department of Statistics
Email: sukanta@brur.ac.bd
Phone: 01727449695, PABX: