| The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned? NC Peeri, N Shrestha, MS Rahman, R Zaki, Z Tan, S Bibi, ... International journal of epidemiology 49 (3), 717-726, 2020 | 1935 | 2020 |
| Defending against the Novel Coronavirus (COVID-19) outbreak: How can the Internet of Things (IoT) help to save the world? MS Rahman, NC Peeri, N Shrestha, R Zaki, U Haque, SH Ab Hamid Health policy and technology 9 (2), 136, 2020 | 219 | 2020 |
| Climate change and dengue fever knowledge, attitudes and practices in Bangladesh: A social media–based cross-sectional survey MS Rahman, A Karamehic-Muratovic, M Baghbanzadeh, M Amrin, S Zafar, ... Transactions of the Royal Society of Tropical Medicine and Hygiene 115 (1 …, 2021 | 40 | 2021 |
| Knowledge, attitudes, and practices on climate change and dengue in Lao People's Democratic Republic and Thailand MS Rahman, HJ Overgaard, C Pientong, M Mayxay, T Ekalaksananan, ... Environmental Research 193, 110509, 2021 | 39 | 2021 |
| COVID-19 epidemic in Bangladesh among rural and urban residents: an online cross-sectional survey of knowledge, attitudes, and practices MS Rahman, A Karamehic-Muratovic, M Amrin, AH Chowdhury, ... Epidemiologia 2 (1), 1-13, 2020 | 36 | 2020 |
| Mapping the spatial distribution of the dengue vector Aedes aegypti and predicting its abundance in northeastern Thailand using machine-learning approach MS Rahman, C Pientong, S Zafar, T Ekalaksananan, RE Paul, U Haque, ... One Health 13, 100358, 2021 | 31 | 2021 |
| Ecological, social, and other environmental determinants of dengue vector abundance in urban and rural areas of northeastern Thailand MS Rahman, T Ekalaksananan, S Zafar, P Poolphol, O Shipin, U Haque, ... International journal of environmental research and public health 18 (11), 5971, 2021 | 29 | 2021 |
| Accuracy comparison of ARIMA and XGBoost forecasting models in predicting the incidence of COVID-19 in Bangladesh MS Rahman, AH Chowdhury, M Amrin PLOS Global Public Health 2 (5), e0000495, 2022 | 23 | 2022 |
| An empirical analysis of weak form market efficiency: Evidence from Chittagong stock exchange (CSE) of Bangladesh MS Rahman, HM Simon, MM Hossain Journal of Statistics Applications & Probability 5 (3), 535-542, 2016 | 21 | 2016 |
| Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh MS Rahman, NT Safa, S Sultana, S Salam, A Karamehic-Muratovic, ... Parasite Epidemiology and Control 18, e00266, 2022 | 19 | 2022 |
| & Haque, U.(2020). The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned NC Peeri, N Shrestha, MS Rahman, R Zaki, Z Tan, S Bibi International journal of epidemiology, 0 | 19 | |
| Dengue seroprevalence and seroconversion in urban and rural populations in northeastern Thailand and southern Laos D Doum, HJ Overgaard, M Mayxay, S Suttiprapa, P Saichua, ... International Journal of Environmental Research and Public Health 17 (23), 9134, 2020 | 16 | 2020 |
| Development and comparison of dengue vulnerability indices using GIS-based multi-criteria decision analysis in Lao PDR and Thailand S Zafar, O Shipin, RE Paul, J Rocklöv, U Haque, MS Rahman, M Mayxay, ... International Journal of Environmental Research and Public Health 18 (17), 9421, 2021 | 9 | 2021 |
| Analyzing predictors of control measures and psychosocial problems associated with COVID-19 pandemic: evidence from eight countries SSR Jony, U Haque, NJ Webb, E Spence, MS Rahman, ... Behavioral Sciences 11 (8), 106, 2021 | 9 | 2021 |
| Risk factors of caesarean deliveries in urban–rural areas of Bangladesh F Abdulla, MM Hossain, MM Rahman, MS Rahman, A Rahman Frontiers in reproductive health 5, 1101400, 2023 | 6 | 2023 |
| A data-driven eXtreme gradient boosting machine learning model to predict COVID-19 transmission with meteorological drivers MS Rahman, AH Chowdhury Plos one 17 (9), e0273319, 2022 | 6 | 2022 |
| February 2020. The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned NC Peeri, N Shrestha, MS Rahman, R Zaki, Z Tan, S Bibi, ... Int J Epidemiol https://doi. org/10.1093/ije/dyaa033, 22 | 6 | 22 |
| Evaluating the forecast accuracy of exchange rate volatility in Bangladesh using ARCH family of models MS Mia, MS Rahman American Journal of Mathematics and Statistics 9 (5), 183-190, 2019 | 5 | 2019 |
| Understanding dengue solution and larval indices surveillance system among village health volunteers in high-and low-risk dengue villages in southern Thailand O Nontapet, S Maneerattanasak, J Jaroenpool, A Phumee, W Krachai, ... One Health 15, 100440, 2022 | 4 | 2022 |
| 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 C Kaewchandee, U Hnuthong, S Thinkan, MS Rahman, S Sangpoom, ... Heliyon 9 (1), 2023 | 3 | 2023 |
Ubydul HaqueRutgers University, Rutgers Global Health InstituteVerified email at globalhealth.rutgers.edu
