scholarly journals Optimal Testing Strategy for the Identification of COVID-19 Infections

2020 ◽  
Author(s):  
Michail Chatzimanolakis ◽  
Pascal Weber ◽  
Georgios Arampatzis ◽  
Daniel Wälchli ◽  
Petr Karnakov ◽  
...  
Keyword(s):  
Experimental Design ◽  
Open Source ◽  
Information Gain ◽  
Source Code ◽  
Epidemic Models ◽  
Time Dependent ◽  
Testing Strategy ◽  
Open Source Code ◽  
The World ◽  
Systematic Identification

The systematic identification of infectious, yet unreported, individuals is critical for the containment of the COVID-19 pandemic. We present a strategy for identifying the location, timing and extent of testing that maximizes information gain for such infections. The optimal testing strategy relies on Bayesian experimental design and forecasting epidemic models that account for time dependent interventions. It is applicable at the onset and spreading of the epidemic and can forewarn for a possible recurrence of the disease after relaxation of interventions. We examine its application in Switzerland and show that it can provide timely and systematic guidance for the effective identification of infectious individuals with finite testing resources. The methodology and the open source code are readily adaptable to countries around the world.

scholarly journals Calibrating an Epidemic Compartment Model to Seroprevalence Survey Data

2020 ◽  
Author(s):  
Michael Halem
Keyword(s):  
Public Health ◽  
New York ◽  
Open Source ◽  
Survey Data ◽  
Source Code ◽  
Compartment Model ◽  
Epidemic Models ◽  
Open Source Code ◽  
Complex Models ◽  
Public Health Officials

AbstractTo date, the Covid-19 epidemic has produced tremendous cost and harm. However, to date, many epidemic models are not calibrated to seroprevalence survey(s). This paper calibrates a relatively simple, SIR plus confirmed cases (“SIRX”) model against seroprevalence survey data released by the State of New York. The intention of this paper is to demonstrate a potentially new technique of calibration for epidemic models used by scientists, public health officials and governments. The technique can then be incorporated in other more complex models. Open source code is included to assist model developers.

scholarly journals Optimal Allocation of Limited Test Resources for the Quantification of COVID-19 Infections

2020 ◽  
Author(s):  
Michail Chatzimanolakis ◽  
Pascal Weber ◽  
George Arampatzis ◽  
Daniel Wälchli ◽  
Ivica Kičić ◽  
...  
Keyword(s):  
Decision Making ◽  
Experimental Design ◽  
Open Source Software ◽  
Policy Making ◽  
Optimal Allocation ◽  
Reproduction Number ◽  
Information Gain ◽  
The World ◽  
Systematic Identification ◽  
Limited Testing

AbstractThe systematic identification of infected individuals is critical for the containment of the COVID-19 pandemic. Presently, the spread of the disease is mostly quantified by the reported numbers of infections, hospitalizations, recoveries and deaths; these quantities inform epidemiology models that provide forecasts for the spread of the epidemic and guide policy making. The veracity of these forecasts depends on the discrepancy between the numbers of reported and unreported, yet infectious, individuals.We combine Bayesian experimental design with an epidemiology model and propose a methodology for the optimal allocation of limited testing resources in space and time, which maximizes the information gain for such unreported infections. The proposed approach is applicable at the onset and spreading of the epidemic and can forewarn for a possible recurrence of the disease after relaxation of interventions. We examine its application in Switzerland; the open source software is, however, readily adaptable to countries around the world.We find that following the proposed methodology can lead to vastly less uncertain predictions for the spread of the disease. Estimates of the effective reproduction number and of the future number of unreported infections are improved, which in turn can provide timely and systematic guidance for the effective identification of infectious individuals and for decision-making.

AN OPEN-SOURCE CODE FOR NUMERICAL SIMULATION OF DRAINAGE BASIN DEVELOPMENT

2017 ◽  
Author(s):  
George H. Shaw ◽  
◽  
Howard D. Mooers ◽  
Josef Smrz ◽  
Zdenek Papez ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Open Source ◽  
Drainage Basin ◽  
Source Code ◽  
Open Source Code ◽  
Basin Development

Po River Morphodynamics Modelled with the Open-source Code iRIC

2018 ◽  
pp. 335-346 ◽  
Author(s):  
Michael Nones ◽  
Alessio Pugliese ◽  
Alessio Domeneghetti ◽  
Massimo Guerrero
Keyword(s):  
Open Source ◽  
Source Code ◽  
Po River ◽  
Open Source Code

scholarly journals Blogging Beyond the PDF

2010 ◽  
Author(s):  
Martin Fenner
Keyword(s):  
Knowledge Sharing ◽  
Open Source ◽  
Scientific Knowledge ◽  
San Diego ◽  
Source Code ◽  
Open Source Code

Four weeks ago I wrote about the Beyond the PDF workshop that is planned for January in San Diego. The goal of the workshop is to identify a set of requirements, and a group of willing participants to develop open source code to accelerate scientific knowledge sharing. ...

scholarly journals A Prologue of Git and SVN

2019 ◽  
Vol 9 (1) ◽  
pp. 988-990
Keyword(s):  
Control System ◽  
Open Source ◽  
Control Systems ◽  
Source Code ◽  
Version Control ◽  
Control Software ◽  
The World ◽  
Revision Control ◽  
Version Control System ◽  
General Public License

Version Control Software or Revision Control Software are the most important things in the world of software development. In this paper, we have described two version control tools: Git and Apache Subversion. Git comes as free and open source code management and version control system which is disseminated with the GNU general public license. Apache Subversion abbreviated as SVN is one amongst a software versioning and revision control systems given as open source under Apache License. Git design, its functionality, and usage of Git and SVN are discussed in this paper. The goal of this research paper is to accentuate on GIT and SVN tools, evaluate and compare five version control tools to ascertain their usage and efficacy.

Developed E-CRM Intelligence in Technological Trends

2021 ◽  
pp. 2095-2104
Author(s):  
Bashar Shahir Ahmed ◽  
Mohammed Al-Sarem ◽  
Mohamed Larbi Ben Maati
Keyword(s):  
Open Source ◽  
Customer Relationship Management ◽  
Technological Development ◽  
Source Code ◽  
Relationship Management ◽  
Customer Relationship ◽  
Technical Aspects ◽  
Open Source Code ◽  
It Implementation

This chapter has discussed the technical aspects of the electronic customer relationship management intelligence (E-CRM). The paper has mainly focused on the technological development, as well as, IT implementation of the E-CRM intelligence. Different engines of E-CRM together with the recent technological trends have also been included in the discussion. Towards the end the paper has provided a simple open source code that has been used to develop CRM related applications. The code is intended to illustrate the E-CRM idea and also the results. The paper can be found useful in analyzing technical reviews on electronic customer relationship management.

Sign in / Sign up

Export Citation Format

Share Document