Author

Arman Hossain Chowdhury

Institution: Begum Rokeya University

Observed institution: Begum Rokeya University

ORCID: 0000-0003-1498-287X

Observed ORCID: 0000-0003-1498-287X

OpenAlex ID: A5030782465

A tree based eXtreme Gradient Boosting (XGBoost) machine learning model to forecast the annual rice production in Bangladesh

2023 · Mst Noorunnahar, Arman Hossain Chowdhury, et al. · PLoS ONE · 164

Accuracy comparison of ARIMA and XGBoost forecasting models in predicting the incidence of COVID-19 in Bangladesh

2022 · Md. Siddikur Rahman, Arman Hossain Chowdhury, et al. · PLOS Global Public Health · 67

Predicting anxiety, depression, and insomnia among Bangladeshi university students using tree‐based machine learning models

2024 · Arman Hossain Chowdhury, Dana Rad, et al. · Health Science Reports · 58

COVID-19 Epidemic in Bangladesh among Rural and Urban Residents: An Online Cross-Sectional Survey of Knowledge, Attitudes, and Practices

2020 · Md. Siddikur Rahman, Ajlina Karamehic-Muratovic, et al. · Epidemiologia · 36

A data-driven eXtreme gradient boosting machine learning model to predict COVID-19 transmission with meteorological drivers

2022 · Md. Siddikur Rahman, Arman Hossain Chowdhury · PLoS ONE · 26

Comparison of Deep Learning and Gradient Boosting: ANN Versus XGBoost for Climate‐Based Dengue Prediction in Bangladesh

2025 · Arman Hossain Chowdhury · Health Science Reports · 14

Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh

2025 · Arman Hossain Chowdhury, Md. Siddikur Rahman · PLoS neglected tropical diseases · 14

Spatio‐temporal pattern and associate meteorological factors of airborne diseases in Bangladesh using geospatial mapping and spatial regression model

2024 · Arman Hossain Chowdhury, Md. Siddikur Rahman · Health Science Reports · 5

An Application of ARIMAX Model to Examine the Effect of Climatic Factors on the Annual rice Production in Bangladesh

2023 · Md. Roshidul Islam, Arman Hossain Chowdhury · Asian Journal of Probability and Statistics · 3

Knowledge and beliefs about climate change and emerging infectious diseases in Bangladesh: implications for one health approach

2025 · Md. Siddikur Rahman, Miftahuzzannat Amrin, et al. · Journal of Health Population and Nutrition · 2

Data‐Driven Machine Learning–Based Forecasting of Dengue in Bangladesh: Supporting Digital Health Approaches for Early Warning

2026 · Arman Hossain Chowdhury · Health Science Reports · 1

Spatiotemporal patterns of climate-sensitive vector-borne diseases in Bangladesh: leveraging machine learning and spatial regression for intervention strategies

2026 · Md. Siddikur Rahman, Md. Abu Bokkor Shiddik, et al. · BMC Medicine

Works count: 12

Citation count: 390

H-index: 7

I10-index: 7