Ashis Talukder

Contacts

Contact email:Ashis.Talukder@anu.edu.au
Contact phone:+61 480 419 590
Location:B65 (Balmain Cottage) PhD Hub
Centre:Department of Applied Epidemiology
PhD Candidate

Biography

Ashis Talukder is a PhD researcher at the National Centre for Epidemiology and Population Health, the Australian National University. Ashis completed his honour’s and master’s degree in Statistics from the University of Dhaka, Bangladesh. He is currently affiliated with the Statistics Discipline, Khulna University, as an Assistant Professor. Ashis is highly experienced in analyzing big data comes from cross-sectional studies, including demographic and health survey in low and middle-income countries. His research uses a variety of statistical models, including logistic, multinomial, ordinal, Cox PH, to examine the effects of various factors responsible for child malnutrition and non-communicable diseases like diabetes, hypertension, anaemia, and others. He used a number of machine learning techniques as well to understand more about his research topic. He prefers to analyse the data using SPSS, STATA and the R programming language. He has a strong track record in peer-reviewed publications related to the above topics— so far published 45 articles in high-impact public health journals. His doctoral study is focusing the effects of the double burden of malnutrition on non-communicable disease epidemiology in the Asia-Pacific countries.

Research

Research interests

  • Application of Statistical Models in Public Health Research
  • Epidemiology of Non-communicable diseases and potential risk factors
  • Double burden of malnutrition
  • Biostatistics

Publications

Selected Publications:

  1. Joloudari, JH, Hussain S, Nematollahi MA, Bagheri R, Fazal F, Alizadehsani R, Lashgari R, Talukder A (2023) BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets. Soc. Netw. Anal. Min. 13, 99 (2023). https://doi.org/10.1007/s13278-023-01102-y
  2. Hossain, M. I., Haq, I., Talukder, A., Suraiya, S., Rahman, M., Saleh Saleheen, A. A., Methun, M. I. H., Habib, M. J., Hossain, M. S., Nayan, M. I. H. & Hussain, S. (2023). Performance Evaluation of Machine Learning-Based Algorithms to Predict the Early Childhood Development Among Under Five Children in Bangladesh. Journal of Computer Science, 19(5), 641-653.
  3. Ali M, Khatun MF, Yasmin T, Talukder A, Maniruzzaman M, Alauddin S (2023) Smoke-free status of homes and workplaces among Indian people: Evidence from Global Adult Tobacco SurveyData-2016/2017. PLoS ONE 18(2): e0282138. IF: 3.752   https://doi.org/10.1371/journal.pone.0282138
  1. Talukder, A., Sharmin, S., Nath, C. D., Haq, I., Hossain, M. I., Habib, M. J., & Sara, S. S. (2023). Knowledge, attitudes, and factors determining the willingness for COVID-19 vaccination among students in Bangladesh: An online-based cross-sectional study. Journal of Public Health. https://doi.org/10.1007/s10389-023-01851-2
  2. Talukder, A. (2023). Be prepare to tackle Human Monkeypox: A real challenge for Bangladesh. Health Science Reports. DOI: 10.1002/hsr2.1022
  3. Hossain, M. I., Haq, I., Talukder, A., Suraiya, S., Rahman, M., Saleh Saleheen, A. A., Methun, M. I. H., Habib, M. J., Hossain, M. S., Nayan, M. I. H. & Hussain, S. (2023). Performance Evaluation of Machine Learning-Based Algorithms to Predict the Early Childhood Development Among Under Five Children in Bangladesh. Journal of Computer Science, 19(5), 641-653. https://doi.org/10.3844/jcssp.2023.641.653
  4. Sara, S., Talukder, A., Lee, K.Y., Basak, N., Razu, S.R., Haq, I., Nath, C.D. (2023).  Dynamic changes in prevalence of type 2 diabetes along with associated factors in Bangladesh: Evidence from two national cross-sectional surveys (BDHS 2011 and BDHS 2017–18). Diabetes & Metabolic Syndrome: Clinical Research & Reviews. Volume 17, Issue 21. https://doi.org/10.1016/j.dsx.2023.102706
  5. Talukder, A. (2021). Risk factors associated with wasting among under-5 children residing in urban areas of Bangladesh: a multilevel modelling approach. Journal of Public Health. 29, 525–531.  https://doi.org/10.1007/s10389-019-01163-4
  6. Islam SMS, Talukder A, Awal MA, Siddiqui MMU, Ahamad MM, Ahammed B, Rawal LB, Alizadehsani R, Abawajy J, Laranjo L, Chow CK and Maddison R (2022) Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries. Frontiers in Cardiovascular Medicine 9:839379. IF: 5.846. https://doi.org/10.3389/fcvm.2022.839379
  7. Islam, M. A., Afroja, S., Khan, M. S., Alauddin, S., Nahar, M. T., & Talukder, A. (2022). Prevalence and Triggering Factors of Childhood Anemia: An Application of Ordinal Logistic Regression Model. International Journal of Clinical Practice,  e2212624. IF: 3.149.   https://doi.org/10.1155/2022/2212624
  8. Talukder, A., Razu, S. R., Alif, S. M., Rahman, M. A., & Islam, S. M. S. (2022). Association Between Symptoms and Severity of Disease in Hospitalised Novel Coronavirus (COVID-19) Patients: A Systematic Review and Meta-Analysis. Journal of Multidisciplinary Healthcare, Volume 15, 1101–1110. IF: 2.919.  https://doi.org/10.2147/jmdh.s357867
  9. Gaftandzhieva, S., Talukder, A., Gohain, N., Hussain, S., Theodorou, P., Salal, Y. K., & Doneva, R. (2022). Exploring Online Activities to Predict the Final Grade of Student. Mathematics. IF: 2.592 https://doi.org/10.3390/math10203758
  10. Haq, I., Alam, M., Islam, A., Rahman, M., Latif, A., Haq Methun, M. I., & Talukder, A. (2022). Influence of sociodemographic factors on child mortality in Bangladesh: a multivariate analysis - Journal of Public Health. https://doi.org/10.1007/s10389-020-01378-w
  11. Talukder, A., Khan, Z. I., Khatun, F., & Tahmida, S. (2021). Factors associated with age of mother at first birth in Albania: application of quantile regression model. Heliyon, 7(3), e06547. IF: 2.85 https://doi.org/10.1016/j.heliyon.2021.e06547
  12. Saleheen, A. A. S., Afrin, S., Kabir, S., Habib, Md. J., Zinnia, M. A., Hossain, Md. I., Haq, I., & Talukder, A. (2021). Sociodemographic factors and early marriage among women in Bangladesh, Ghana and Iraq: An illustration from Multiple Indicator Cluster Survey. Heliyon, 7(5), e07111. IF: 2.85  https://doi.org/10.1016/j.heliyon.2021.e07111
  13. Aktar, S., Talukder, A. (Joint First Author), Ahamad, Md. M., Kamal, A. H. M., Khan, J. R., Protikuzzaman, Md., Hossain, N., Azad, A. K. M., Quinn, J. M. W., Summers, M. A., Liaw, T., Eapen, V., & Moni, M. A. (2021). Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19. Diagnostics, 11(8), 1383.  IF: 3.706 https://doi.org/10.3390/diagnostics11081383
  14. Razu, S. R., Nishu, N. A., Rabbi, Md. F., Talukder, A., & Ward, P. R. (2021). Knowledge, Attitudes, and Practices Concerning COVID-19 in Bangladesh: A Qualitative Study of Patients with Chronic Illnesses. Frontiers in Public Health, 9. IF: 3.709 https://doi.org/10.3389/fpubh.2021.628623
  15.  Talukder, A., Paul, N., Khan, Z. I., Ahaammed, B., Haq, I., & Ali, M. (2021). Risk factors associated with anemia among women of reproductive age (15–49) in Albania: A quantile regression analysis. Clinical Epidemiology and Global Health, 100948. https://doi.org/10.1016/j.cegh.2021.100948
  16. Hasan, M. M., Talukder, A., Alam, M. K., Hossain, M. K., & Asikunnaby. (2021). Does worriedness among the rural adults promote COVID-19 related awareness in Bangladesh? Heliyon, 7(3), e06556. IF: 2.85 https://doi.org/10.1016/j.heliyon.2021.e06556
  17. Talukder, A., & Ali, M. (2021). Assessing the true association between hypertension status and stature of individuals in Bangladesh: propensity score analysis. Journal of Human Hypertension, 35(3), 250–256.  IF: 3.012  https://doi.org/10.1038/s41371-020-0328-2
  18. Talukder, A., Hasan, M. M., Haq, I. & Shariful Islam, S. M. (2021). A machine learning model for the identification of depressive symptoms among university students in Bangladesh. Minerva Psichiatrica. 63(3):237-44. http://DOI/10.23736/S2724-6612.21.02167-9
  19. Sarder, Md. A., Islam, S. M. S., Maniruzzaman, Md., Talukder, A., & Ahammed, B. (2021). Prevalence of unintended pregnancy and its associated factors: Evidence from six south Asian countries. PLOS ONE, 16(10), e0259360. IF: 3.752  https://doi.org/10.1371/journal.pone.0259360
  20. Talukder, A., Sathi, N. J., Islam, A., Islam, S. M. S., & Haq, I. (2021). Prevalence and Factors Associated with under-5 Mortality in Nigeria: Evidence from 2018 Nigeria Demographic and Health Survey. Dr. Sulaiman al Habib Medical Journal.
  21. Talukder, A., Hasan, M. M., & Asikunnaby. (2022). Assessing association between paternal smoking status and child malnutrition in Albania: An application of ordinal regression model. Human Nutrition & Metabolism, 200143. https://doi.org/10.1016/j.hnm.2022.200143
  22. Talukder, A., & Hossain, M. Z. (2020). Prevalence of Diabetes Mellitus and Its Associated Factors in Bangladesh: Application of Two-level Logistic Regression Model. Scientific Reports, 10(1), 1–7.  IF: 4.379   https://doi.org/10.1038/s41598-020-66084-9
  23. Talukder, A., & Ahammed, B. (2020). Machine Learning Algorithms for Predicting Malnutrition among Under-Five Children in Bangladesh. Nutrition, 110861. IF: 4.893 https://doi.org/10.1016/j.nut.2020.110861
  24. Talukder, A., Haq, I., Ali, M., & Drope, J. (2020). Factors Associated with Cultivation of Tobacco in Bangladesh: A Multilevel Modelling Approach. International Journal of Environmental Research and Public Health, 17(12), 4277. https://doi.org/10.3390/ijerph17124277
  25. Talukder, A., Akter, N., & Sazzad Mallick, T. (2019). Exploring Association Between Individuals’ Stature and Type 2 Diabetes Status: Propensity Score Analysis. Environmental Health Insights, 13, 117863021983697. IF: 2.03 https://doi.org/10.1177/1178630219836975
  26. Talukder, A. (2017). Factors Associated with Malnutrition among Under-Five Children: Illustration using Bangladesh Demographic and Health Survey, 2014 Data. Children, 4(10), 88. IF: 2.835  https://doi.org/10.3390/children4100088
  27. Talukder, A., & Mallick, T. S. (2017). On association between diabetes status and stature of individual in Bangladesh: an ordinal regression analysis. International Journal of Diabetes in Developing Countries, 37(4), 470–477. https://doi.org/10.1007/s13410-016-0522-5

Conference

  1. Akhter, T., Naime, J., Parvin, S., Howlader, M.H., Talukder, A., Islam, M.A. (2022).  PREVALENCE AND TRIGGERING FACTORS ASSOCIATED WITH UNINTENDED PREGNANCY IN SOUTH ASIA AND SUB-SAHARAN AFRICA: EVIDENCE FROM DEMOGRAPHIC AND HEALTH SURVEY DATA. In: International Conference on STEM and the Fourth Industrial Revolution 2022; Khulna University
  2. Sara, S.S., Rahman, A., Islam, M.A., Talukder, A. (2022).  ASSOCIATION AND IMPACT OF SEVERAL RISK FACTORS OF INTERNET ADDICTION DURING COVID-19 PANDEMIC AMONG UNIVERSITY STUDENTS IN THE SOUTHERN PART OF BANGLADESH. In: International Conference on STEM and the Fourth Industrial Revolution 2022; Khulna University

ResearchGate Link

https://www.researchgate.net/profile/Ashis-Talukder-2

Google Scholar Link

https://scholar.google.com/citations?user=TpIKZ-cAAAAJ&hl=en&oi=ao