Dr. Md. Siddikur Rahman

(Associate Professor)






Web of Science


Short Biography
Dr. Md. Siddikur Rahman is a Biostatistician who designs and implements data-driven solutions to global public health problems. Rahman is conducting research on advanced machine learning and AI-based modelling to tackle infectious disease outbreaks and climate change-related hazards.

Research Activities & Consultancy

Title Organization Role Fund Year
Multivariate analysis of assessing farmers’ literacy on climate change and its impact on food security in the northern region of Bangladesh University Grants Commission of Bangladesh and Begum Rokeya University, Rangpur Principal Investigator (PI) Yes 2023-24
One Health approach to control climate sensitive emerging infectious diseases: A statistical investigation in Rangpur region of Bangladesh Ministry of Science and Technology, Bangladesh Principal Investigator Yes 2023-24
Artificial intelligence to predict dengue outbreaks and its validation in Bangladesh University Grants Commission of Bangladesh Principal Investigator Yes 2023-24
Effects of climate change and variability on community vulnerability and exposure to dengue in South East Asia The Research Council of Norway PhD Fellow Yes 2018-21
Organization Type Year
Jahangirnagar University Department of Statistics Alumni Association (JUDSAA) Executive Committee (International Affairs Secretary) 2021-Current
Chowdhury AH, Rad D, Rahman MS. : Predicting anxiety, depression, and insomnia among Bangladeshi university students using tree‐based machine learning models, Health Science Reports , (impact factor: Scopus/PubMed - IF: 2), 2024 .
Uwanbamrung C, Srinam B, Rahman MS et al. : Uptake of COVID-19 vaccine among high-risk urban populations in Southern Thailand using the COM-B model, PLOS ONE , (impact factor: Scopus/PubMed - IF: 3.7), 2024 .
Chowdhury AH, Rad D, Rahman MS. : A quantile regression approach to identify risk factors for high blood glucose levels among Bangladeshi individuals, Health Science Reports , (impact factor: Scopus/PubMed - IF: 2), 2023 .
Sampa MB, Biswas T, Rahman MS, Aziz NAA et al. : A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study, JMIR DIABETES , (impact factor: Scopus/PubMed - IF: , Citescore : 3.4), 2023 .
Abdulla F, Rahman MS and Rahman A. et al. : Risk factors of cesarean deliveries in urban–rural areas of Bangladesh. Frontiers in Reproductive Health, Frontiers in Reproductive Health , (impact factor: Scopus/PubMed - IF: , Cite Scores: 0.4), 2023 .
Kaewchandee, C., Rahman, M. S., & Suwanbamrung, C. et al. : The experiences of district public health officers during the COVID-19 crisis and its management in the upper southern region of Thailand: A mixed methods approach., Heliyon , (impact factor: Scopus/PubMed - IF: 4), 2023 .
Zafar, S., Overgaard, H. J., Rahman, M. S., Mayxay, et al. : Dengue epidemiological profile in southern Lao PDR. Western Pacific Surveillance and Response, Western Pacific Surveillance and Response journal (WPSAR) , (impact factor: Scopus/PubMed - IF: 1.2), 2022 .
Nontapet O, Rahman MS, Suwanbamrung C, et al. : Understanding dengue solution and larval indices surveillance system among village health volunteers in high- and low-risk dengue villages in southern Thailand., One Health , (impact factor: Scopus/PubMed - IF: 5), 2022 .
Rahman M.S, Chowdhury AH. : A data-driven eXtreme gradient boosting machine learning model to predict COVID-19 transmission with meteorological drivers, PLOS ONE , (impact factor: Scopus/PubMed - IF: 3.7), 2022 .
Rahman MS, Karamehic-Muratovic A, Overgaard HJ, et al. : Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh. Parasite epidemiology and control, Parasite Epidemiology and Control , (impact factor: Scopus/PubMed - IF: 3.2), 2022 .
Rahman MS, Chowdhury AH, Amrin M. : Accuracy comparison of ARIMA and XGBoost forecasting models in predicting the incidence of COVID-19 in Bangladesh, PLOS GLOBAL PUBLIC HEALTH , (impact factor: Scopus/PubMed -IF:), 2022 .
Rahman MS, Pientong C, Zafar S, Haque U, et al. : Mapping the spatial distribution of the dengue vector Aedes aegypti and predicting its abundance in northeastern Thailand using machine-learning approach, One Health , (impact factor: Scopus/PubMed -IF: 5), 2021 .
Zafar S, Shipin O, Rocklöv J, Haque U, Rahman MS, et al. : Development and Comparison of Dengue Vulnerability Indices Using GIS-Based Multi-Criteria Decision Analysis in Lao PDR and Thailand, International Journal of Environmental Research and Public Health , (impact factor: Scopus/PubMed -IF: 3.3), 2021 .
Jony SSR, Rahman MS, Aghamohammadi N, et al. : Analyzing Predictors of Control Measures and Psychosocial Problems Associated with COVID-19 Pandemic: Evidence from Eight Countries., Behavioral Sciences , (impact factor: Scopus/PubMed - IF:2.6), 2021 .
Rahman MS, Ekalaksananan T, Zafar S,Haque U, et al. : Ecological, Social, and Other Environmental Determinants of Dengue Vector Abundance in Urban and Rural Areas of Northeastern Thailand, International Journal of Environmental Research and Public Health , (impact factor: Scopus/PubMed - IF: 3.3), 2021 .
Rahman MS, Overgaard HJ, Aromseree S, et al. : Knowledge, attitudes, and practices on climate change and dengue in Lao People's Democratic Republic and Thailand, Environmental Research , (impact factor: Scopus/PubMed -IF: 8.3), 2021 .
Rahman MS, Karamehic-Muratovic A, Rahman NN, et al. : Climate change and dengue fever knowledge, attitudes and practices in Bangladesh: A social media–based cross-sectional survey, Transactions of the Royal Society of Tropical Medicine and Hygiene , (impact factor: Scopus/PubMed -IF: 2.1), 2021 .
Rahman MS, Karamehic-Muratovic A, Haque U, et al. : COVID-19 epidemic in Bangladesh among rural and urban residents: an online cross-sectional survey of knowledge, attitudes, and practices, Epidemiologia , (impact factor: Scopus/PubMed -IF:), 2020 .
Peeri NC, Shrestha N, Rahman MS, Bibi S, et al. : The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned?, International journal of epidemiology , (impact factor: Scopus/PubMed -IF: 9.7), 2020 .
Doum, D., Rahman, M.S., Haque, U.; et al. : Dengue seroprevalence and seroconversion in urban and rural populations in northeastern Thailand and southern Laos, International Journal of Environmental Research and Public Health , (impact factor: Scopus/PubMed -IF: 3.3), 2020 .
Rahman M.S., and Overgaard J, : Mapping spatial distribution, identifying risk factors and predicting the abundance of dengue vector Aedes aegypti in northeastern Thailand, The 26th International Congress of Entomology (ICE 2022), Helsinki, Finland , 2022 .
Rahman M.S., Pientong C, and Overgaard J : EFFECTS OF HOUSEHOLD FACTORS, MOSQUITO BREEDING AND CONTROL MEASURES ON DENGUE VECTORS INFESTATION IN NORTHEASTERN THAILAND, World Conference on Public Health 2020 (WCPH2020), ASIA METROPOLITAN UNIVERSITY, Malaysia and The International Institute of Knowledge Management (TIIKM), Sri Lanka , 2020 .
Ahmed T, M.S. Rahman, Ullah Mo : Survival Probabilities of Stomach and Colon Cancer Patients in Bangladesh, 2nd International Conference on Applied Statistics 2019, Institute of Statistical Research and Training (ISRT), University of Dhaka, Bangladesh , 2019 .
Rahman M.S., Overgaard J. and Haque, U et al. : Disparities in people’s knowledge, attitudes and practices regarding climate change and dengue fever in Lao PDR and Thailand presented, Global Transitions 2019, Tsinghua University, Beijing, China , 2019 .
Rahman M.S., Pientong C ,Overgaard J, et al. : Disparities in People’s Knowledge, Attitude and Practices (KAP) Regarding Dengue Fever in the Selected Communities between Northeastern Thailand and southern Laos, 9th Medical Microbiology conference, 2019, Faculty of Medicine, KKU, Thailand , 2019 .
Rahman M.S., Rashid M. : Performance Analysis of Various Statistical Classification Techniques Using Different Data Mining Tools for Data Classification, International Conference on Recent Advances in Mathematical and Physical Sciences (ICRAMPS 2018), Jahangirnagar University, Bangladesh , 2018 .
Iñiguez-Gallardo V, Rahman MS, et al. : Place-based capacity building to enhance resilience in tropical countries, One Earth , (impact factor: Scopus/PubMed -IF: 3.2), 2023 .
Title Event Year
Travel grant The 26th International Congress of Entomology, ICE 2022, in Helsinki, Finland 2022
PhD Scholarship DENCLIM Project (Research Council of Norway) 2018-2021
Travel grant Global Transitions, School of Economics and Management, Tsinghua University, Beijing, China 2019
Best paper award for excellent oral research presentation International Conference on Recent Advances in Mathematical and Physical Sciences (ICRAMPS 2018), Faculty of Mathematical and Physical Science, Jahangirnagar University, Bangladesh 2018
Travel grant Workshop on Quantitative Methods for Public Health Researchers of the SAARC Countries, Calcutta, India 2016
Dr. Md. Siddikur Rahman
Associate Professor
Department of Statistics
Phone: 8801723107977, PABX: