Objective: The coronavirus, which originated in Wuhan, causing the disease called COVID-19, spread more than 200 countries and continents end of the March. In this study, it was aimed to model the outbreak with different time series models and also predict the indicators. Materials and Methods: The data was collected from 25 countries which have different process at least 20 days. ARIMA(p,d,q), Simple Exponential Smoothing, Holt’s Two Parameter, Brown’s Double Exponential Smoothing Models were used. The prediction and forecasting values were obtained for the countries. Trends and seasonal effects were also evaluated. Results and Discussion: China has almost under control according to forecasting. The cumulative death prevalence in Italy and Spain will be the highest, followed by the Netherlands, France, England, China, Denmark, Belgium, Brazil and Sweden respectively as of the first week of April. The highest daily case prevalence was observed in Belgium, America, Canada, Poland, Ireland, Netherlands, France and Israel between 10% and 12%.The lowest rate was observed in China and South Korea. Turkey was one of the leading countries in terms of ranking these criteria. The prevalence of the new case and the recovered were higher in Spain than Italy. Conclusion: More accurate predictions for the future can be obtained using time series models with a wide range of data from different countries by modelling real time and retrospective data. Bangladesh Journal of Medical Science Vol.19(0) 2020 p.06-20

Background: The importance of learning environment in teaching institution is increasingly being appreciated in terms of its effect on learning and outcome. Objective: The objective of this study was to explore students’ perception of learning environment for identifying measures to improve it of a private medical college, Bangladesh. Method: Two phase cross-sectional study combining quantitative and qualitative components was conducted among the students of a private medical college. In Phase I part the Dundee Ready Education Environment Measure (DREEM) inventory was used to obtain data for base line quantitative information on a total of 204 medical and final professional examinee students. Purposive sampling method was employed in this phase and the Item that scored >3 was categorised as highest and < 2 was categorised as lowest scored item. In Phase II part the highest and lowest score items were explored further by qualitative method of focus group discussions among teachers and students on two separate occasions. For focus group discussion a combination of 10 (clinical and preclinical) teachers and 10 students (2x5 =10) except the examinee batch were selected by convenience sampling method. The purpose and method of the focus group was clearly stated to the participants and a consent form was signed by one participant on behalf of the respective group. Results: The response rate was 100% in Phase I part of the study with a perceived global DREEM mean score was 120/200 (22.984) which indicated students’ positive perception towards the learning environment of ISMC. The global score for year 1, 2, 3, 4, 5 and examinee students were 133/200 (12.959); 134/200 (15.678); 127/200 (9.895); 112/200 (17.205); 67/200 (22.623) and 14/200 (22.984) respectively. The 1st year and 2nd year had highest global score whereas 5th year students had lowest score. The perceived Domains mean scores for Students Perception of Learning (SPoL) was 29.35/48 (8.189); Students Perception of Teacher (SPoT) 27.24/44 (5.195); Students Academic Self Perception (SASP) 18.69/32 (6.726); Students Perception of Atmosphere (SPoA) 28.09/48 (6.844) and Students Social Self Perception (SSSP) 14.65/28 (2.952) which indicated students’ positive perception in all five Domains of DREEM as well. Out of 50 items three scored >3 and 7 items scored <2 which were explored further by focus group discussions among teachers and students to know the underlying causes for such scores. many similar issues were identified by both the groups in focus group discussion. Conclusion: The combination of a quantitative and qualitative method revealed students’ positive perception and the strong and weak areas of the learning environment of ISMC. The findings were used in recommending remedial measure for creating an encouraging learning environment of ISMC which is one the main ingredient for effective learning.Bangladesh Journal of Medical Science Vol.15(2) 2016 p.234-242

not available Bangladesh Journal of Medical Science Vol.20(5) 2021 p.185-187

doi: 10.3329/bjms.v8i1.3181Bangladesh Journal of Medical Science Vol.8 No. 1-2; 2009 4

Information regarding the prevalence of features of Metabolic Syndrome (MS) in Malaysia has not been previously reported. There are also difficulties in using Western cut-off criteria to define MS in this Asian population. The aim of this study was to determine the prevalence of features of MS in normal body weight normoglycemic Malay subjects. An additional aim was to determine the optimal waist circumference cut-off which best identified MS in this population. We used data from a cross-sectional study carried out in Malay descendants in Kota Bharu a city on east coast peninsular Malaysia. The prevalence of different features of MS was determined using the AHA/NHLBI and IDF criteria. The results showed that even after excluding subjects with diabetes mellitus, impaired glucose tolerance (IGT) or impaired fasting glucose (IFG), hypertension, a first degree relative with diabetes mellitus and obesity (BMI >25 kg/m2), the features of metabolic syndrome were still highly prevalent in this population. Furthermore, the features of the metabolic syndrome were associated with reduced insulin sensitivity in an additive manner. The metabolic syndrome is a biologically relevant construct for the identification of the insulin resistant individual in a Malaysian population.Bangladesh Journal of Medical Science Vol.15(1) 2016 p.123-128