Mohammed Sarfaraz Gani Adnan, Ashraf Dewan, Khatun E. Zannat, Abu Yousuf Md Abdullah
Jules Maurice Habumugisha, Ningsheng Chen, Mahfuzur Rahman, Md Monirul Islam et al.
Among natural hazards, landslides are devastating in China. However, little is known regarding potential landslide-prone areas in Maoxian County. The goal of this study was to apply four deep learning algorithms, the convolutional neural network (CNN), deep neural network (DNN), long short-term memo...
Md. Farhad Hossain, Md. Sahab Uddin, G. M. Sala Uddin, Dewan Md. Sumsuzzman et al.
Melatonin, a pineal gland synthesized neurohormone is known as a multifunctioning pleiotropic agent which has a wide range of neuroprotective role in manifold age-related neurodegenerative disorders especially Alzheimer's diseases (AD). AD is a devastating neurodegenerative disorder and common form ...
Mahfuzur Rahman, Ningsheng Chen, Ahmed Elbeltagi, Md Monirul Islam et al.
Floods are among the most devastating natural hazards in Bangladesh. The country experiences multi-type floods (i.e., fluvial, flash, pluvial, and surge floods) every year. However, areas prone to multi-type floods have not yet been assessed on a national scale. Here, we used locally weighted linear...
Bayes Ahmed, Ashraf Dewan
The communities living on the dangerous hillslopes in Chittagong City Corporation (CCC) in Bangladesh recurrently experience landslide hazards during the monsoon season. The frequency and intensity of landslides are increasing over time because of heavy rainfall occurring over a few days. Furthermor...
Farhana Safa, Afifa Anjum, Sahadat Hossain, Tonima Islam Trisa et al.
Background The most recent global pandemic of COVID-19 has been creating multidimensional damages, including a detrimental impact on the mental health status of individuals. Medical students, a vulnerable cross-section of the population, may have perceived a myriad of psychological stressors during ...
Ashraf Dewan, Grigory Kiselev, Dirk Botje
Many surface urban heat island (SUHI) studies have been conducted around the globe, however there is still a lack of information available regarding the intensity of SUHI (SUHII) in Bangladesh cities. This study focused on diurnal and seasonal SUHI variability, temporal trends and possible drivers i...
Ashraf Dewan, Emmanuel T. Ongee, M. Rafiuddin, Md. Masudur Rahman et al.
ABSTRACT Satellite‐derived lightning data for 17 years (1998–2014) were used to evaluate the relation between environmental factors and lightning activity over the Bangladesh landmass. Time series convective available potential energy (CAPE) data were extracted from ERA‐40 reanalysis data while tota...
Ubydul Haque, Masahiro Hashizume, Gregory E. Glass, Ashraf Dewan et al.
BACKGROUND: Malaria is a major public health problem in Bangladesh, frequently occurring as epidemics since the 1990s. Many factors affect increases in malaria cases, including changes in land use, drug resistance, malaria control programs, socioeconomic issues, and climatic factors. No study has ex...
Mohammed Sarfaraz Gani Adnan, Ashraf Dewan, Dirk Botje, Shamsuddin Shahid et al.
BACKGROUND Heatwaves have received major attention globally due to their detrimental effects on human health and the environment. The frequency, duration, and severity of heatwaves have increased recently due to changes in climatic conditions, anthropogenic forcing, and rapid urbanization. Australia...
Mahfuzur Rahman, Ningsheng Chen, Md Monirul Islam, Ashraf Dewan et al.
This work developed models to identify optimal spatial distribution of emergency evacuation centers (EECs) such as schools, colleges, hospitals, and fire stations to improve flood emergency planning in the Sylhet region of northeastern Bangladesh. The use of location-allocation models (LAMs) for eva...
Jannatul Ferdous Ruma, Mohammed Sarfaraz Gani Adnan, Ashraf Dewan, Rashedur M. Rahman
Floods are one of the most catastrophic natural disasters. Water level forecasting is an essential method of avoiding floods and disaster preparedness. In recent years, models for predicting water levels have been developed using artificial intelligence techniques like the artificial neural network ...
Shahriar Abdullah, Mohammed Sarfaraz Gani Adnan, Dhrubo Barua, Md Mahbub Murshed et al.
Mahiuddin Alamgir, Najeebullah Khan, Shamsuddin Shahid, Zaher Mundher Yaseen et al.
Masahiro Hashizume, Ashraf Dewan, Toshihiko Sunahara, Mohammed Ziaur Rahman et al.
BACKGROUND: While floods can potentially increase the transmission of dengue, only few studies have reported the association of dengue epidemics with flooding. We estimated the effects of river levels and rainfall on the hospital admissions for dengue fever at 11 major hospitals in Dhaka, Bangladesh...