scholarly journals An Interactive Tool to Forecast US Hospital Needs in the Coronavirus 2019 Pandemic

2020 ◽  
Author(s):  
Kenneth J. Locey ◽  
Thomas A. Webb ◽  
Jawad Khan ◽  
Anuja K. Antony ◽  
Bala Hota
Keyword(s):  
Open Source ◽  
Web Application ◽  
Healthcare Workers ◽  
Protective Equipment ◽  
Large Set ◽  
Specialized Knowledge ◽  
Web Based ◽  
Us States ◽  
Forecast Data ◽  
Hospital Visits

ABSTRACTHospital enterprises are currently faced with anticipating the spread of COVID-19 and the effects it will have on visits, admissions, bed needs, and crucial supplies. While many studies have focused on understanding the basic epidemiology of the disease, few open source tools have been made available to aid hospitals in their planning. We developed a web-based application (available at: http://covid19forecast.rush.edu/) for US states and territories that allows users to choose from a suite of models already employed in characterizing the spread of COVID-19. Users can obtain forecasts for hospital visits and admissions as well as anticipated needs for ICU and non-ICU beds, ventilators, and personal protective equipment supplies. Users can also customize a large set of inputs, view the variability in forecasts over time, and download forecast data. We describe our web application and its models in detail and provide recommendations and caveats for its use. Our application is primarily designed for hospital leaders, healthcare workers, and government official who may lack specialized knowledge in epidemiology and modeling. However, specialists can also use our open source code as a platform for modification and deeper study. As the dynamics of COVID-19 change, our application will also change to meet emerging needs of the healthcare community.

scholarly journals An Open-Source Web-Based Tool for Resource-Agnostic Interactive Translation Prediction

2014 ◽  
Vol 102 (1) ◽  
pp. 69-80 ◽  
Author(s):  
Torregrosa Daniel ◽  
Forcada Mikel L. ◽  
Pérez-Ortiz Juan Antonio
Keyword(s):  
Open Source ◽  
Machine Translation ◽  
Web Application ◽  
Statistical Machine Translation ◽  
Black Box ◽  
Translation System ◽  
Web Tool ◽  
Web Based ◽  
Strongly Coupled ◽  
Machine Translation System

Abstract We present a web-based open-source tool for interactive translation prediction (ITP) and describe its underlying architecture. ITP systems assist human translators by making context-based computer-generated suggestions as they type. Most of the ITP systems in literature are strongly coupled with a statistical machine translation system that is conveniently adapted to provide the suggestions. Our system, however, follows a resource-agnostic approach and suggestions are obtained from any unmodified black-box bilingual resource. This paper reviews our ITP method and describes the architecture of Forecat, a web tool, partly based on the recent technology of web components, that eases the use of our ITP approach in any web application requiring this kind of translation assistance. We also evaluate the performance of our method when using an unmodified Moses-based statistical machine translation system as the bilingual resource.

scholarly journals An interactive tool to forecast US hospital needs in the coronavirus 2019 pandemic

JAMIA Open ◽  
2020 ◽  
Author(s):  
Kenneth J Locey ◽  
Thomas A Webb ◽  
Jawad Khan ◽  
Anuja K Antony ◽  
Bala Hota
Keyword(s):  
Length Of Stay ◽  
Protective Equipment ◽  
Time Lags ◽  
Hospital Level ◽  
Home Institution ◽  
Hospital Beds ◽  
Forecast Data ◽  
Hospital Visits ◽  
Carry Over ◽  
Continuous Use

Abstract Objective We developed an application (https://rush-covid19.herokuapp.com/) to aid US hospitals in planning their response to the ongoing Coronavirus Disease 2019 (COVID-19) pandemic. Materials and Methods Our application forecasts hospital visits, admits, discharges, and needs for hospital beds, ventilators, and personal protective equipment by coupling COVID-19 predictions to models of time lags, patient carry-over, and length-of-stay. Users can choose from 7 COVID-19 models, customize 23 parameters, examine trends in testing and hospitalization, and download forecast data. Results Our application accurately predicts the spread of COVID-19 across states and territories. Its hospital-level forecasts are in continuous use by our home institution and others. Discussion Our application is versatile, easy-to-use, and can help hospitals plan their response to the changing dynamics of COVID-19, while providing a platform for deeper study. Conclusion Empowering healthcare responses to COVID-19 is as crucial as understanding the epidemiology of the disease. Our application will continue to evolve to meet this need.

scholarly journals OPEN SOURCE WEB-BASED SOLUTIONS FOR DISSEMINATING AND ANALYZING FLOOD HAZARD INFORMATION AT THE COMMUNITY LEVEL

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 91-97
Author(s):  
M. M.-M.-Santillan ◽  
J. R. Santillan ◽  
E. M. O. Morales
Keyword(s):  
Open Source ◽  
Web Application ◽  
Information Dissemination ◽  
Flood Hazard ◽  
Meteorological Data ◽  
Simulation Models ◽  
Web Based ◽  
Household Level ◽  
Systematic Assessment ◽  
Web Mapping

We discuss in this paper the development, including the features and functionalities, of an open source web-based flood hazard information dissemination and analytical system called “Flood EViDEns”. Flood EViDEns is short for “Flood Event Visualization and Damage Estimations”, an application that was developed by the Caraga State University to address the needs of local disaster managers in the Caraga Region in Mindanao, Philippines in accessing timely and relevant flood hazard information before, during and after the occurrence of flood disasters at the community (i.e., barangay and household) level. The web application made use of various free/open source web mapping and visualization technologies (GeoServer, GeoDjango, OpenLayers, Bootstrap), various geospatial datasets including LiDAR-derived elevation and information products, hydro-meteorological data, and flood simulation models to visualize various scenarios of flooding and its associated damages to infrastructures. The Flood EViDEns application facilitates the release and utilization of this flood-related information through a user-friendly front end interface consisting of web map and tables. A public version of the application can be accessed at <a href="http://121.97.192.11:8082/"target="_blank">http://121.97.192.11:8082/</a>. The application is currently expanded to cover additional sites in Mindanao, Philippines through the “Geo-informatics for the Systematic Assessment of Flood Effects and Risks for a Resilient Mindanao” or the “Geo-SAFER Mindanao” Program.

scholarly journals Open Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research

2020 ◽  
pp. 336-345 ◽  
Author(s):  
Erik Ziegler ◽  
Trinity Urban ◽  
Danny Brown ◽  
James Petts ◽  
Steve D. Pieper ◽  
...  
Keyword(s):  
Cancer Research ◽  
Open Source ◽  
Web Application ◽  
Data Exchange ◽  
Quantitative Imaging ◽  
Third Party ◽  
Web Based ◽  
Web Architecture ◽  
Imaging Research ◽  
Commercial Applications

PURPOSE Zero-footprint Web architecture enables imaging applications to be deployed on premise or in the cloud without requiring installation of custom software on the user’s computer. Benefits include decreased costs and information technology support requirements, as well as improved accessibility across sites. The Open Health Imaging Foundation (OHIF) Viewer is an extensible platform developed to leverage these benefits and address the demand for open-source Web-based imaging applications. The platform can be modified to support site-specific workflows and accommodate evolving research requirements. MATERIALS AND METHODS The OHIF Viewer provides basic image review functionality (eg, image manipulation and measurement) as well as advanced visualization (eg, multiplanar reformatting). It is written as a client-only, single-page Web application that can easily be embedded into third-party applications or hosted as a standalone Web site. The platform provides extension points for software developers to include custom tools and adapt the system for their workflows. It is standards compliant and relies on DICOMweb for data exchange and OpenID Connect for authentication, but it can be configured to use any data source or authentication flow. Additionally, the user interface components are provided in a standalone component library so that developers can create custom extensions. RESULTS The OHIF Viewer and its underlying components have been widely adopted and integrated into multiple clinical research platforms (e,g Precision Imaging Metrics, XNAT, LabCAS, ISB-CGC) and commercial applications (eg, Osirix). It has also been used to build custom imaging applications (eg, ProstateCancer.ai, Crowds Cure Cancer [presented as a case study]). CONCLUSION The OHIF Viewer provides a flexible framework for building applications to support imaging research. Its adoption could reduce redundancies in software development for National Cancer Institute–funded projects, including Informatics Technology for Cancer Research and the Quantitative Imaging Network.

scholarly journals A Survey of Psychiatric Healthcare Workers' Perception of Working Environment and Possibility to Recover Before and After the First Wave of COVID-19 in Sweden

2021 ◽  
Vol 12 ◽  
Author(s):  
Eirini Alexiou ◽  
Steinn Steingrimsson ◽  
Magnus Akerstrom ◽  
Ingibjörg H. Jonsdottir ◽  
Linda Ahlstrom ◽  
...  
Keyword(s):  
Personal Protective Equipment ◽  
Healthcare Workers ◽  
Negative Impact ◽  
Working Environment ◽  
University Hospital ◽  
Protective Equipment ◽  
Web Based ◽  
Before And After ◽  
Survey Responses ◽  
The Impact

Objective: This study aimed to investigate the impact of the first wave of the COVID-19 pandemic on perceived working environment, including the possibility to recover, among psychiatric healthcare workers (PHCWs) in comparison with pre-pandemic measures.Method: A link to an anonymous, web-based COVID-19 related survey was sent via email to all PHCWs at a university hospital in Sweden (n = 1,618) in September 2020. The response rate was 38% (566 of 1,507 eligible participants). Working environment survey responses collected in 2019 were used as pre-pandemic comparators. Statistical analyses were performed to assess overall impact over time on work demands, support, motivation, and recovery, stratified by professional role, and considering variables such as access to personal protective equipment.Results: The percentage of individuals responding negatively to statements about working environment increased significantly for most items after the first wave. Similarly, the increase of five of the investigated factors indicated a more negative perception of recovery during the pandemic. Registered nurses reported a greater negative impact of the pandemic on perceived working conditions and ability to recover than other professional groups. PHCWs working with patients with COVID-19 (35%) who reported being worried about becoming infected (12%) or infecting others (17%), or lacking adequate personal protective equipment (22%) were more negatively impacted regarding work environment-related items than those who did not.Conclusions: PHCWs' working environment and possibility for recovery were impacted by the first wave of the COVID-19 pandemic, nurses being most affected. Although psychiatric services do not directly care for patients with severe COVID-19 infection, the results from this study suggests that mental health services should also prepare for future pandemics.

scholarly journals Development and Evaluation of a Web-Based System to Learn Skills for Removing Personal Protective Equipment for Highly Infectious Diseases

2021 ◽  
Author(s):  
Shota Sato ◽  
Sachiko Iijima ◽  
Yoko Muranaka
Keyword(s):  
Infectious Diseases ◽  
Personal Protective Equipment ◽  
Healthcare Workers ◽  
Learning System ◽  
Protective Equipment ◽  
Motivation To Learn ◽  
Web Based ◽  
Web Based Learning ◽  
Trial Basis ◽  
Web Based System

We developed a web-based learning system for healthcare workers to learn the skills for removing personal protective equipment for highly infectious diseases. The system was implemented on a trial basis and healthcare workers evaluated its usability and their motivation to learn. Usability was similar to that of typical systems. Motivation scores were high, indicating confidence and satisfaction with the system.

Impact of COVID-19 on Nuclear Medicine in Germany, Austria and Switzerland: An International Survey in April 2020

2020 ◽  
Vol 59 (04) ◽  
pp. 294-299 ◽  
Author(s):  
Lutz S. Freudenberg ◽  
Ulf Dittmer ◽  
Ken Herrmann
Keyword(s):  
Nuclear Medicine ◽  
Health Systems ◽  
Personal Protective Equipment ◽  
Large Scale ◽  
Diagnostic Procedures ◽  
Protective Equipment ◽  
Current Crisis ◽  
Web Based ◽  
Public Versus Private ◽  
The Impact

Abstract Introduction Preparations of health systems to accommodate large number of severely ill COVID-19 patients in March/April 2020 has a significant impact on nuclear medicine departments. Materials and Methods A web-based questionnaire was designed to differentiate the impact of the pandemic on inpatient and outpatient nuclear medicine operations and on public versus private health systems, respectively. Questions were addressing the following issues: impact on nuclear medicine diagnostics and therapy, use of recommendations, personal protective equipment, and organizational adaptations. The survey was available for 6 days and closed on April 20, 2020. Results 113 complete responses were recorded. Nearly all participants (97 %) report a decline of nuclear medicine diagnostic procedures. The mean reduction in the last three weeks for PET/CT, scintigraphies of bone, myocardium, lung thyroid, sentinel lymph-node are –14.4 %, –47.2 %, –47.5 %, –40.7 %, –58.4 %, and –25.2 % respectively. Furthermore, 76 % of the participants report a reduction in therapies especially for benign thyroid disease (-41.8 %) and radiosynoviorthesis (–53.8 %) while tumor therapies remained mainly stable. 48 % of the participants report a shortage of personal protective equipment. Conclusions Nuclear medicine services are notably reduced 3 weeks after the SARS-CoV-2 pandemic reached Germany, Austria and Switzerland on a large scale. We must be aware that the current crisis will also have a significant economic impact on the healthcare system. As the survey cannot adapt to daily dynamic changes in priorities, it serves as a first snapshot requiring follow-up studies and comparisons with other countries and regions.

Web Based GIS Application using Open Source Software for Sharing Geospatial Data

2015 ◽  
Vol 4 (1) ◽  
pp. 1224-1228 ◽  
Author(s):  
Debasish Chakraborty ◽  
◽  
Debanjan Sarkar ◽  
Shubham Agarwal ◽  
Dibyendu Dutta ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Geospatial Data ◽  
Web Based ◽  
Gis Application

ANALYZING AND IMPROVING WEB APPLICATION QUALITY USING DESIGN PATTERNS

2012 ◽  
Vol 2 (2) ◽  
pp. 112-116
Author(s):  
Shikha Bhatia ◽  
Mr. Harshpreet Singh
Keyword(s):  
Web Application ◽  
Design Pattern ◽  
Design Patterns ◽  
Web Applications ◽  
Past Research ◽  
Software Systems ◽  
Interactive Software ◽  
Web Based ◽  
Software Application ◽  
Execution Speed

With the mounting demand of web applications, a number of issues allied to its quality have came in existence. In the meadow of web applications, it is very thorny to develop high quality web applications. A design pattern is a general repeatable solution to a generally stirring problem in software design. It should be noted that design pattern is not a finished product that can be directly transformed into source code. Rather design pattern is a depiction or template that describes how to find solution of a problem that can be used in many different situations. Past research has shown that design patterns greatly improved the execution speed of a software application. Design pattern are classified as creational design patterns, structural design pattern, behavioral design pattern, etc. MVC design pattern is very productive for architecting interactive software systems and web applications. This design pattern is partition-independent, because it is expressed in terms of an interactive application running in a single address space. We will design and analyze an algorithm by using MVC approach to improve the performance of web based application. The objective of our study will be to reduce one of the major object oriented features i.e. coupling between model and view segments of web based application. The implementation for the same will be done in by using .NET framework.

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