Measurement and Evaluation of Deep Learning Based 3D Reconstruction

Performances of Deep Learning (DL) based methods for 3D reconstruction are becoming at par or better than classical computer vision techniques. Learning requires data with proper annotations. While images have a standardized representation, there is currently no widely accepted format for efficiently representing 3D output shapes. The challenge lies in finding a format that can handle the high-resolution geometry of any shape while also being memory and computationally efficient. Therefore, most advanced learning-based 3D reconstructions are restricted to a certain domain. In this work, we compare the performance of different output representations for 3D reconstruction in different contexts including objects or natural scenes, full human body to human body parts reconstruction. Despite substantial progress in the semantic understanding of the visual world, there are few methods that can reconstruct from a single view for a s large set of objects. Our the objective is to investigate methods to reconstruct a wider variety of object categories in 3D and aim to achieve accurate 3D reconstruction at both object and scene levels. In this work, we compare the performance of different output representations for 3D reconstruction in such a way that will give us implicit and smooth output representation of complex geometry of 3D from RGB images, DICOM (Digital Imaging and Communications in Medicine) formatted MRI breast images and images from a wild environment in terms of input using the Deep Learning methods and available 3D processing applications (MeshLab, 3D Slicer, and Mayavi)

Knowledge, attitudes and perceptions about rabies among the people in the community, healthcare professionals and veterinary practitioners in Bangladesh

It is crucial to explore knowledge, attitudes and perceptions (KAP) about rabies among the people in the community, the personnel dealing with animal bite management and suspected rabies patients, including humans and animals, to facilitate intervention in improving rabies elimination strategies. In 2016, we conducted an interactive face-to-face survey in three different districts of Bangladesh to understand the extent of KAP towards rabies in the community peoples (CPs), human healthcare professionals (HCPs) and veterinary practitioners (VPs). A set of prescribed questions was employed to measure what proportion of each group possessed sufficient knowledge, positive attitudes and adequate perceptions about rabies. A total of 1133 CPs, 211 HCPs and 168 VPs were interviewed by using a standard questionnaire comprising both closed and open-ended questions. Of the CPs, 49% identified the disease correctly (i.e. rabies is caused by an animal bite or a scratch). Only 29% of the CPs were aware that a wound should be washed immediately with soap and water after an animal bite or a scratch. However, only 49% of the CPs, 65% of the HCPs and 60% of the VPs felt that it is important to consult a physician and receive post-exposure vaccine as the first line of treatment following an animal exposure. Among the HCPs, 23% of the respondents did not possess sufficient knowledge about animal bites as categorised by the World Health Organization (WHO), and 12% of the respondents did not possess the knowledge on how to manage an animal bite properly. Out of 52% of the VPs who previously treated suspected rabid animals, only 29% had a history of taking rabies pre-exposure prophylaxis (PEP). Lack of formal education and rural subsistence were found to largely contribute to poor rabies KAP level among the CPs (P ≤ 0.01). There has been a high demand for proper training to be provided to HCPs and VPs for the effective management of an animal bite incidence in human and animals, respectively. Multi-sectoral collaboration through integrated One Health initiatives including community education, awareness programmes, facilitation of rabies PEP, and dog vaccination as well as its population control are critical in the way forward to control rabies in Bangladesh

A clinical study of arrhythmias associated with acute coronary syndrome: a hospital based study of a high risk and previously undocumented population

Background: ACS represents a global epidemic. Arrhythmia in ACS is common. Careful investigation may lead to further improvement of prognosis. Retrospectively analyzed the year- round data of our center. Study was undertaken to analyze the incidence, frequency and type of arrhythmias in ACS. This is to aid timely intervention and to modify the outcome. Identification of the type of arrhythmia is of therapeutic and prognostic importance.Methods: This cross sectional analytical study was conducted in the Department of Cardiology, Apollo Hospitals Dhaka, from January 2019 to January 2020 with ACS patients. Enrolled consecutively and data analyzed.Results: There were 500 patients enrolled considering inclusion and exclusion criteria. Sample was subdivided into 3 groups on the type of ACS. Group-I with UA, Group-II with NSTE - ACS and Group-III with STE - ACS. Different types of arrhythmia noted. Types of arrhythmia were correlated with type of ACS. 500 patients included. Mean age 55.53±12.70, 71.6% male and 28.4% female. 60.4% hypertensive, 46.2% diabetic, 20.2% positive family history of CAD, 32.2% current smoker, 56.4% dyslipidaemic and 9.6% asthmatic. 31.2% UA, 39.2% NSTE-ACS and 29.6% STE-ACS. Type of arrhythmias noted. 22% sinus tachycardia, 20.2% sinus bradycardia, 9% atrial fibrillation, 5.2% ventricular ectopic, 4.8% supra ventricular ectopic, 2.8% bundle branch block, 2.2% atrio-ventricular block, 1% broad complex tachycardia, 0.4% narrow complex tachycardia, 0.2% sinus node dysfunction and 32.2% without any arrhythmia. Significant incidences of arrhythmia detected - respectively 29.8%, 39.2% and 31%, p<0.001.Conclusions: In conclusion, arrhythmias in ACS are common. More attention should be paid to improve their treatment and prognosis

Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats

In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security

Dengue Situation in Bangladesh: An Epidemiological Shift in terms of Morbidity and Mortality

The escalating dengue situation in Bangladesh has been emerging as a serious public health problem in terms of morbidity and mortality. Results of analysis of 40,476 cases of Bangladesh occurring during 2000–2017 indicated that 49.73% of the dengue cases occurred during the monsoon season (May–August) and 49.22% during the post-monsoon season (September–December). However, data also showed that, since 2014, these trends have been changing, and dengue cases have been reported during the pre-monsoon season. During 2015–2017, in the pre-monsoon season, the dengue cases were reported to be more than seven times higher compared to the previous 14 years. The findings closely correlate with those of the pre-monsoon Aedes vector survey which revealed the presence of high density of larva and pupa of the dengue vectors in the environment all the year round. In our study, climate changes, such as average rainfall, humidity, and temperature, after 2014, and rapid unplanned urbanization were the strong predictors of an imbalance in the existing ecology that has led to increase in dengue cases in 2016 and the emergence of the chikungunya virus for the first time in Bangladesh in 2017. Although 2018 dengue data are relevant but not included in this study due to study time frame, it is interesting to report an increase in the number of dengue cases in pre (2016) and post (2018, which is highest within 18 years) chikungunya outbreak, which favors the study hypothesis. Despite the efforts to control dengue, based primarily on the vector control and case management, the burden and costs of the disease and similar vector-borne diseases will continue to grow in future in our country. Developing a cost-effective vaccine against all the 4 strains of dengue remains a challenge. The CDC, in collaboration with other research organizations, may come forward to initiate and coordinate a large-scale randomized clinical trial of an effective dengue vaccine in Bangladesh

Detection of hemoparasites in bats, Bangladesh

A cross sectional study was conducted (2010-2013) to determine the diversity of hemoprotozoa among bats of Bangladesh. Microscopic examination of blood smears (N=533; Pteropus medius (377), Rousettus leschenaultii (111), Megaderma lyra (45) revealed 9% of bats (95% confidence interval CI: 7-12%) were positive for hemoprotozoa. The overall prevalence of hemoparasites among P. medius was 5% (n=20, 95% CI: 3-8%); where Babesia sp. was 3% (n=12, 95% CI: 2-5%) and Hepatocytis sp. was 2% (n=8, 95% CI: 1-4%). Moreover, 13% of R. leschenaultii were positive (n=14, 95% CI: 7-20%) where prevalence of Babesia sp. was 10% (n=11, 95% CI: 5-17%) and prevalence of Hepatocystis sp. was 3% (n=3, 95% CI: 1-8%). Twenty-nine percent (n=13, 95% CI: 16-44%) of M. lyra harbored hemoparasites, among which 20% (n=9, 95% CI: 10-35%) were Babesia sp. and 9% (n=4, 95% CI: 2-21%) were Hepatocystis sp. The study indicates bats remain important hosts for various zoonotic parasites and suggests further research.&nbsp