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Md. Siddikur Rahman

Observed names: Md Siddikur Rahman, Md Siddkur Rahman, Rahman, Md., Siddikur Rahman
ORCID: 0000-0001-8925-6544
Observed ORCID: 0000-0001-8925-6544
OpenAlex ID: A5081397218
The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned?
2020 · Noah C Peeri, Nistha Shrestha, et al. · International Journal of Epidemiology · 1,654
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Defending against the Novel Coronavirus (COVID-19) outbreak: How can the Internet of Things (IoT) help to save the world?
2020 · Md. Siddikur Rahman, Noah C. Peeri, et al. · Health Policy and Technology · 179
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Ecological, Social, and Other Environmental Determinants of Dengue Vector Abundance in Urban and Rural Areas of Northeastern Thailand
2021 · Md. Siddikur Rahman, Tipaya Ekalaksananan, et al. · International Journal of Environmental Research and Public Health · 89
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Knowledge, attitudes, and practices on climate change and dengue in Lao People's Democratic Republic and Thailand
2020 · Md. Siddikur Rahman, Hans J. Overgaard, et al. · Environmental Research · 81
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Mapping the spatial distribution of the dengue vector Aedes aegypti and predicting its abundance in northeastern Thailand using machine-learning approach
2021 · Md. Siddikur Rahman, Chamsai Pientong, et al. · One Health · 76
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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
Climate change and dengue fever knowledge, attitudes and practices in Bangladesh: a social media–based cross-sectional survey
2020 · Md Siddikur Rahman, Ajlina Karamehic-Muratovic, et al. · Transactions of the Royal Society of Tropical Medicine and Hygiene · 63
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
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Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh
2022 · Md. Siddikur Rahman, Nujhat Tabassum Safa, et al. · Parasite Epidemiology and Control · 54
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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
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Explainable artificial intelligence for predicting dengue outbreaks in Bangladesh using eco-climatic triggers
2025 · Md. Siddikur Rahman, Md. Abu Bokkor Shiddik · Global Epidemiology · 32
Dengue Seroprevalence and Seroconversion in Urban and Rural Populations in Northeastern Thailand and Southern Laos
2020 · Dyna Doum, Hans J. Overgaard, et al. · International Journal of Environmental Research and Public Health · 31
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Expert deep learning techniques for remaining useful life prediction of diverse energy storage Systems: Recent Advances, execution Features, issues and future outlooks
2024 · Shaheer Ansari, Muhammad Ammirrul Atiqi Mohd Zainuri, et al. · Expert Systems with Applications · 30
Risk factors of caesarean deliveries in urban–rural areas of Bangladesh
2023 · Faruq Abdulla, Md. Moyazzem Hossain, et al. · Frontiers in Reproductive Health · 30
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Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model
2025 · Md. Siddikur Rahman, Miftahuzzannat Amrin, et al. · Health Science Reports · 28
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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
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Understanding dengue solution and larval indices surveillance system among village health volunteers in high- and low-risk dengue villages in southern Thailand
2022 · Orratai Nontapet, Sarunya Maneerattanasak, et al. · One Health · 24
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Development and Comparison of Dengue Vulnerability Indices Using GIS-Based Multi-Criteria Decision Analysis in Lao PDR and Thailand
2021 · Sumaira Zafar, Oleg Shipin, et al. · International Journal of Environmental Research and Public Health · 20
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Unraveling global malaria incidence and mortality using machine learning and artificial intelligence–driven spatial analysis
2025 · Md. Siddikur Rahman, Md. Abu Bokkor Shiddik · Scientific Reports · 14
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Utilizing artificial intelligence to predict and analyze socioeconomic, environmental, and healthcare factors driving tuberculosis globally
2025 · Md. Siddikur Rahman, Abu Bokkor Shiddik · Scientific Reports · 14
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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
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An Empirical Analysis of Weak Form Market Efficiency: Evidence from Chittagong Stock Exchange (CSE) of Bangladesh
2016 · Md. Siddikur Rahman, H. M. Simon, et al. · Journal of Statistics Applications & Probability · 13
Landscape and climatic drivers of dengue fever in Lao People’s Democratic Republic and Thailand: a retrospective analysis during 2002–2019
2025 · Sumaira Zafar, Joacim Rocklöv, et al. · Landscape Ecology · 11
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A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study
2023 · Masuda Begum Sampa, Topu Biswas, et al. · JMIR Diabetes · 11
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Analyzing Predictors of Control Measures and Psychosocial Problems Associated with COVID-19 Pandemic: Evidence from Eight Countries
2021 · Sheikh Saifur Rahman Jony, Ubydul Haque, et al. · Behavioral Sciences · 8
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Works count: 52
Citation count: 2,720
H-index: 18
I10-index: 24
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