Mst. Noorunnahar, Arman Hossain Chowdhury, Farhana Arefeen Mila
In this study, we attempt to anticipate annual rice production in Bangladesh (1961-2020) using both the Autoregressive Integrated Moving Average (ARIMA) and the eXtreme Gradient Boosting (XGBoost) methods and compare their respective performances. On the basis of the lowest Corrected Akaike Informat...
Shifat E. Arman, Md. Abdullahil Baki Bhuiyan, Hasan Muhammad Abdullah, Shariful Islam et al.
Bananas, one of the most widely consumed fruits globally, are highly susceptible to various leaf spot diseases, leading to significant economic losses in banana production. In this article, we present the Banana Leaf Spot Diseases (BananaLSD) dataset, an extensive collection of images showcasing thr...
Md. Siddikur Rahman, Arman Hossain Chowdhury, Miftahuzzannat Amrin
Accurate predictive time series modelling is important in public health planning and response during the emergence of a novel pandemic. Therefore, the aims of the study are three-fold: (a) to model the overall trend of COVID-19 confirmed cases and deaths in Bangladesh; (b) to generate a short-term f...
Rubel Biswas Chowdhury, Ayushi Khan, Tashfia Mahiat, Hillol Dutta et al.
The COVID-19 pandemic has abruptly halted the Anthropocene's ever-expanding reign for the time being. The resulting global human confinement, dubbed as the Anthropause, has created an unprecedented opportunity for us to evaluate the environmental consequences of large-scale changes in anthropogenic ...
Polash Dey, Emam Hossain, Md. Ishtiaque Hossain, Mohammed Armanuzzaman Chowdhury et al.
Investors in the stock market have always been in search of novel and unique techniques so that they can successfully predict stock price movement and make a big profit. However, investors continue to look for improved and new techniques to beat the market instead of old and traditional ones. Theref...
S. M. Mostafa Kamal, Md Anowar Hossain, Salma Sultana, Vikarunnessa Begum et al.
OBJECTIVE: To determine the prevalence of tuberculosis (TB) drug resistance in Bangladesh. DESIGN: Weighted cluster sampling among smear-positive cases, and standard culture and drug susceptibility testing on solid medium were used. RESULTS: Of 1480 patients enrolled during 2011, 12 falsified multid...
Md. Siddikur Rahman, Ajlina Karamehić-Muratović, Miftahuzzannat Amrin, Arman Hossain Chowdhury et al.
As other nations around the world, Bangladesh is facing enormous challenges with the novel coronavirus (COVID-19) epidemic. To design a prevention and control strategy for this new infectious disease, it is essential to first understand people’s knowledge, attitudes, and practices (KAP) regarding CO...
Arman Hossain Chowdhury, Dana Rad, Md. Siddikur Rahman
Abstract Background and Aims Mental health problem is a rising public health concern. People of all ages, specially Bangladeshi university students, are more affected by this burden. Thus, the objective of the study was to use tree‐based machine learning (ML) models to identify major risk factors an...
Tasnim Afroze, Shumia Akther, Mohammed Armanuzzaman Chowdhury, Emam Hossain et al.
Md Mujibur Rahman, SK. Jakaria Been Sayed, Md Moniruzzaman, Ahmedul Kabir et al.
From April to September 2017, Bangladesh experienced a huge outbreak of acute Chikungunya virus infection in Dhaka. This series describes the clinical and laboratory features of a large number of cases (690; 399 confirmed and 291 probable) suffered during that period. This observational study was ca...
Md. Siddikur Rahman, Arman Hossain Chowdhury
COVID-19 pandemic has become a global major public health concern. Examining the meteorological risk factors and accurately predicting the incidence of the COVID-19 pandemic is an extremely important challenge. Therefore, in this study, we analyzed the relationship between meteorological factors and...
Aktar Uzzaman Chouduri, Mohitosh Biswas, Md Haque, Md Saiful et al.
The study aims to assess the prescribing practices of antibiotics to outpatients attending public-private hospitals in Bangladesh and to investigate how the irrational uses of antibiotics influence the development of antimicrobial resistance in pathogens over time. A cross-sectional survey was condu...
Aura Rahman, Ashley Styczynski, Abdul Khaleque, Md. Sakib Abrar Hossain et al.
Abstract Background Acinetobacter calcoaceticus-A. baumannii (ACB) complex pathogens are known for their prevalence in nosocomial infections and extensive antimicrobial resistance (AMR) capabilities. While genomic studies worldwide have elucidated the genetic context of antibiotic resistance in majo...
Arman Hossain Chowdhury
ABSTRACT Background and Aims Bangladesh is confronting an unprecedented threat from dengue, worsened by climate change. Understanding its trends and pinpointing climatic risk factors is vital for effective intervention and control. This study aimed to compare the artificial neural network (ANN) and ...
Arman Hossain Chowdhury, Md. Siddikur Rahman
BACKGROUND: Bangladesh is facing a formidable challenge in mitigating waterborne diseases risk exacerbated by climate change. However, a comprehensive understanding of the spatio-temporal dynamics of these diseases at the district level remains elusive. Therefore, this study aimed to fill this gap b...