Ashis Talukder

PhD Candidate

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About

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 more than 50 articles in high-impact public health journals. His doctoral study is focusing the effects of the double burden of malnutrition in South and Southeast Asia.

Affiliations

domain Department

Research interests

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

Location

B65 (Balmain Cottage) PhD Hub

Publications

Selected Publications:

  1. Talukder, A., Kelly, M., Gray, D. et al. (2024) Prevalence and trends of double burden of malnutrition at household-level in South and Southeast Asia. Discov Public Health 21, 212. https://doi.org/10.1186/s12982-024-00339-y
  2. Das, S., Rahman, R., Talukder, A. (2024) Determinants of developing cardiovascular disease risk with emphasis on type-2 diabetes and predictive modeling utilizing machine learning algorithms. Medicine 103(49):p e40813. DOI: 10.1097/MD.0000000000040813
  3. Policy document: Availability, affordability and accessibility of universal health-care services in Asia and the Pacific: a policy analysis. (2024). ESCAP. (engaged in country-specific data analysis).
  4. https://unescap.org/kp/2024/availability-affordability-and-accessibility-universal-health-care-services-asia-and
  5. GBD 2021 Stroke Risk Factor Collaborators (one of the senior collaborators: Talukder, A.)  (2024). Global, regional, and national burden of stroke and its risk factors, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Neurology, 23(10), 973–1003. https://doi.org/10.1016/s1474-4422(24)00369-7
  6. GBD 2021 Diarrhoeal Diseases Collaborators (one of the senior collaborators: Talukder, A.) (2024). Global, regional, and national age-sex-specific burden of diarrhoeal diseases, their risk factors, and aetiologies, 1990–2021, for 204 countries and territories: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Infectious Diseaseshttps://doi.org/10.1016/s1473-3099(24)00691-1
  7. GBD 2021 Fertility and Forecasting Collaborators (one of the senior collaborators: Talukder, A.) (2024). Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet (London, England), 403(10440),
  8. S0140-6736(24)005506. https://doi.org/10.1016/S0140-6736(24)00550-6
  9. GBD 2021 Tobacco Forecasting Collaborators (one of the senior collaborators: Talukder, A.) (2024). Forecasting the effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Public Health, 9(10), e729–e744. https://doi.org/10.1016/s2468-2667(24)00166-x
  10. Hasan, M., Saha, A., Nyeem, M.T., Talukder, A. (2024). Association between body mass index (BMI), respiratory symptoms, and asthma prevalence among the population in Khulna City, Bangladesh: an in-depth cross-sectional investigation. Discov Public Health 21, 171. https://doi.org/10.1186/s12982-024-00310-x
  11. Saha, J., Sara, S.S., Ali, M.H., Talukder, A. (2024) Prevalence and factors associated with tobacco smoking in Bangladesh. Discov Public Health 21, 101. https://doi.org/10.1186/s12982-024-00238-2
  12. Rahman, R, Talukder, A, Das, S, Saha, J. Sarma, H. (2024). Understanding and predicting pregnancy termination in Bangladesh: A comprehensive analysis using a hybrid machine learning approach. Medicine 103(26):p e38709, June 28, 2024. | DOI: 10.1097/MD.0000000000038709
  13. GBD 2021 Diseases and Injuries Collaborators (one of the senior collaborators: Talukder, A.) (2024). Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet, 403(10440). https://doi.org/10.1016/S0140-6736(24)00757-8
  14. Talukder A, Sara SS, Hossain MT, Nath CD, Rahman R, Hussain S, et al. (2024) Rural and urban differences in the prevalence and determinants of Type-2 diabetes in Bangladesh. PLoS ONE 19(4): e0298071. https://doi.org/10.1371/journal.pone.0298071
  15. GBD 2021 Causes of Death Collaborators (one of the senior collaborators: Talukder, A.) (2024). Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440). https://doi.org/10.1016/s0140-6736(24)00367-2
  16. GBD 2021 Demographics Collaborators (one of the senior collaborators: Talukder, A.)  (2024). Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440). https://doi.org/10.1016/s0140-6736(24)00476-8
  17. Sabiha Shirin Sara, Md. Asikur Rahman, Rahman, R., & Talukder, A. (2024). Prediction of suicidal ideation with associated risk factors among university students in the southern part of Bangladesh: Machine learning approach. Journal of Affective Disorders, 349, 502–508. https://doi.org/10.1016/j.jad.2024.01.092
  18. 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. Front. Cardiovasc. Med. 9:839379. doi: 10.3389/fcvm.2022.839379
  19. Iqramul Haq, Md Ismail Hossain, Md Rukonozzaman Rukon, Md Jakaria Habib, Tanha Akther Tithy, Md Amit Hasan, Salma Akter, Md Rayhan Ali Rejvi, M Sheikh Giash Uddin, Md Mizanur Rahman Sarker, Fasil Wagnew, Ashis Talukder, (2024). Individual- and community-level factors associated with the presence of adequate iodized salt in households in Bangladesh: a multilevel modelling approach, International Health, 2024;, ihae016,
  20. https://doi.org/10.1093/inthealth/ihae016
  21. Talukder, A., Hossain, M.Z. Prevalence of Diabetes Mellitus and Its Associated Factors in Bangladesh: Application of Two-level Logistic Regression Model. Sci Rep 2020, 10:10237. https://doi.org/10.1038/s41598-020-66084-9
  22. Haq, I., Ismail Hossain, Md., Moshiur Rahman, Md., Injamul Haq Methun, Md., Talukder, A., Jakaria Habib, Md., & Sanwar Hossain, Md. (2022). Machine Learning Algorithm-Based Contraceptive Practice among Ever-Married Women in Bangladesh: A Hierarchical Machine Learning Classification Approach. Machine Learning and Data Mining - Annual Volume 2022 [Working Title]. https://doi.org/10.5772/intechopen.103187
  23. Talukder, A., Sara, S.S., Khan, Z.I. et al. Prevalence and determinants of hypertension in South-Asian Urban Communities: findings from Demographic and Health Surveys (DHS) data of South Asian countries. J Hum Hypertens 38, 257–266 (2024). https://doi.org/10.1038/s41371-023-00879-x
  24. Talukder, A., Ahammed, B. Machine Learning Algorithms for Predicting Malnutrition among Under-Five Children in Bangladesh. Nutrition 2020, 78, 110861. https://doi.org/10.1016/j.nut.2020.110861
  25. Joloudari, J.H., Hussain, S., Nematollahi, M.A., Talukder, A. (2023). BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets. Soc. Netw. Anal. Min. 13, 99. https://doi.org/10.1007/s13278-023-01102-y
  26. Hasan, M.M., Talukder, A., Alam, M.K., Hossain, M.K., Asikunnaby. Does worriedness among the rural adults promote COVID-19 related awareness in Bangladesh? Heliyon 2021. 7(4):e06556 https://doi.org/10.1016/j.heliyon.2021.e06556
  27.  Aktar, S., Talukder, A., etal. Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19 Diagnostics 2021; 11(8):1383 https://doi.org/10.3390/diagnostics11081383
  28. 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
  29. Talukder, A., Sharmin, S., Nath, C.D. et al. Knowledge, attitudes, and factors determining the willingness for COVID-19 vaccination among students in Bangladesh: An online-based cross-sectional study. J Public Health (Berl.) 32, 663–672 (2024). https://doi.org/10.1007/s10389-023-01851-2
  30. Talukder, A. (2022). Be prepare to tackle Human Monkeypox: A real challenge for Bangladesh. Health Science Reports, 6(1). https://doi.org/10.1002/hsr2.1022
  31. Gaftandzhieva, S., Talukder, A., Gohain, N., Hussain, S., Theodorou, P., Salal, Y. K., & Rositsa Doneva. (2022). Exploring Online Activities to Predict the Final Grade of Student. Mathematics, 10(20), 3758–3758. https://doi.org/10.3390/math10203758
  32. Saeheen, A.A.S., Afrin, S., Kabir, S., Habib, M.J., Zinna, M.A., Haq, I., Talukder, A. Sociodemographic factors and early marriage among women in Bangladesh, Ghana and Iraq: An illustration from Multiple Indicator Cluster Survey. Heliyon 2021. 7(5):e07111 https://doi.org/10.1016/j.heliyon.2021.e07111
  33. Sardar M.A., Maniruzzaman M., Talukder A., Islam S.M.S., Ahammed B. Prevalence of Unintended Pregnancy and Its Associated Factors: Evidence from Six South Asian Countries. PloS One 2021. 16(2):e0245923 https://doi.org/10.1371/journal.pone.0259360
  34. Haq, I., Hossain, M. I., Saleheen, A. A. S., Nayan, M. I. H., Afrin, T., & Talukder, A. (2022). Factors Associated with Women Fertility in Bangladesh: Application on Count Regression Models. Current Women`s Health Reviews, 18, 1–1. https://www.eurekaselect.com/article/121754
  35.  Talukder, A., Khan, Z.I., Khatun, F., Tahmida, S. Factors associated with age of mother at first birth in Albania: application of quantile regression model. Heliyon 2021. 7(3):e06547.  https://doi.org/10.1016/j.heliyon.2021.e06547
  36. Talukder, A., Haq, I., Ali, M., Drope, J. Factors Associated with Cultivation of Tobacco in Bangladesh: A Multilevel Modelling Approach. Int J Environ Res Public Health 2020, 17 (12), 4277. https://doi.org/10.3390/ijerph17124277
  37. Talukder, A., Ali, M. Assessing the true association between hypertension status and stature of individuals in Bangladesh: propensity score analysis. J Hum Hypertens 2020. https://doi.org/10.1038/s41371-020-0328-2
  38. Talukder, A., Mallick, T.S. On Association between Diabetes Status and Stature of Individual in Bangladesh: An Ordinal Regression Analysis. Int J Diabetes Dev Ctries 2017; 37 (4), 470-477. https://doi.org/10.1007/s13410-016-0522-5
  39. Farida Khatun M, Parvin MF, Rashid MM-ur, Alam MS, Kamrunnahar M, Talukder A, Rahman Razu S, Ward PR and Ali M. Mental Health of Physicians During COVID-19 Outbreak in Bangladesh: A Web-Based Cross-Sectional Survey. Front. Public Health 2021; 9:592058.  https://doi.org/10.3389/fpubh.2021.592058
  40. Talukder, A. Risk Factors Associated with Wasting among Under-Five Children Reside in Urban Area of Bangladesh: A Multilevel Modelling Approach. J Pub Health (Berl.) 2019. https://doi.org/10.1007/s10389-019-01163-4
  41. Talukder, A., Akter, N., Mallick, T.S. Exploring Association Between Individuals’ Stature and Type 2 Diabetes Status: Propensity Score Analysis. Environ Health Insights 2019: 13:1-7 https://doi.org/10.1177/1178630219836975
  42. Talukder, A. Factors Associated with Malnutrition among Under-Five Children: Illustration Using Bangladesh Demographic and Health Survey, 2014 Data. Children 2017. 4: 10. https://doi.org/10.3390/children4100088
  43. Islam, M.A., Kabir, M.R., Talukder, A. Triggering factors associated with the utilization of antenatal care visits in Bangladesh: An application of negative binomial regression model. Clin Epidemiol Glob Health 2020 8 (4), 1297-1301 https://doi.org/10.1016/j.cegh.2020.04.030
  44. Haq, I., Sakib, S., Talukder, A. Sociodemographic Factors on Contraceptive Use among Ever- married Women of Reproductive Age: Evidence from Three Demographic and Health Surveys in Bangladesh. Med. Sci. 2017; 5 (4), 31. https://doi.org/10.3390/medsci5040031
  45. 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. https://doi.org/10.2147/jmdh.s357867
  46. Haq, I., Hossain, M., Habib, M., Zinnia, M., Kabir, S., Saleheen, A. S., Alam, M., Hasan, M., & Talukder, A. (2022). Determinants of regional prevalence and variations in handwashing practices among households in Bangladesh: An application of generalized mixed-effects model. Asian Journal of Social Health and Behavior, 5(3), 122. https://doi.org/10.4103/shb.shb_48_22
  47. Ahammed, B., Maniruzzaman M., Talukder A., Ferdausi F. Prevalence and Risk Factors of Hypertension Among Young Adults in Albania. High Blood Press Cardiovasc Prev  2021; 28, 35-48. https://doi.org/10.1007/s40292-020-00419-5
  48. Haq, I., Alam, M., Islam, A. Rahman, M., Latif, A, Methun, M.I.H., Talukder, A. Influence of sociodemographic factors on child mortality in Bangladesh: a multivariate analysis. J Public Health (Berl.) 2020. https://doi.org/10.1007/s10389-020-01378-w
  49. Talukder, A. Risk factors associated with wasting among under-5 children residing in urban areas of Bangladesh: a multilevel modelling approach. J Public Health (Berl.) 2021; 29, 525–531.
  50. https://doi.org/10.1007/s10389-019-01163-4
  51. Talukder, A., Razu, S.R. and Hossain, M.Z. Factors Affecting Stunting among Under-five Children in Bangladesh. Fam Med Prim Care Rev 2018. 20 (4), 356-362 https://doi.org/10.5114/fmpcr.2018.79348
  52. Toma, A.S., Talukder, A., Khan, S.S. and Razu, S.R. An Assessment of the Associaton between Antenatal Care and Child Malnutrition in Bangladesh. Fam Med Prim Care Rev 2018. 20 (4), 373-378 https://doi.org/10.5114/fmpcr.2018.79350
  53. Talukder, A., Hasan, M.M., Islam, S.M.S. Factors affecting depressive symptoms among university students in Bangladesh. Minerva Psichiatrica  2020. 61(3), 84-92. DOI: 10.23736/S0391-1772.20.02089-0
  54. Razu, S.R., Nishu, N.A., Rabbi, M.F., Talukder, A., Ward, P.R. Knowledge, Attitudes, and Practices Concerning COVID-19 in Bangladesh: A Qualitative Study of Patients With Chronic Illnesses. Front. Public Health 2021; 9:628623. https://doi.org/10.3389/fpubh.2021.628623
  55. Talukder, A., Hasan, MM, Razu, S.R. and Hossain, M.Z. Early Marriage in Bangladesh: A Cross-sectional Study Exploring the Associated Factors. J Int Womens Studies 2020. 20(1), 68-78. https://vc.bridgew.edu/jiws/vol21/iss1/6
  56. Talukder, A., Susceptible‐Infectious‐Recovered (SIR) model‐based forecasting of COVID‐19 outbreak in Bangladesh. Int. J. Clin. Pract. (Letter) https://doi.org/10.1111/ijcp.13648
  57. Talukder, A., Effect of Age on Death due to Coronavirus Disease 2019 (COVID-19): Application of Poisson Regression Mode. Int. J. Clin. Pract. (Letter) https://doi.org/10.1111/ijcp.13649

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