Special Issue "Translational Aspects of Infectious Diseases: From Bench to Bedside"

Special Issue Editor

Prof. Dr. Jean-ralph Zahar
E-Mail Website
Guest Editor
1. APHP, Hôpitaux Universitaires de Paris Seine Saint-Denis, 93140 Bondy, France
2. IAME, UMR 1137, Sorbonne Université, Université Paris 13, 75005 Paris, France
Interests: infection control; antimicrobial resistance; antimircrobial stewardship; health acquired infection; environmental contamination

Special Issue Information

Dear Colleagues,

The COVID-19 pandemic has shown us the importance of anticipating infectious risks and the need for responses adapted to each individual’s epidemiological situation. We have debated a lot about the interest of specific measures throughout the period, but beyond that, we have realized the importance of simple but applicable and applied prevention measures. In this future issue, we would like to bring to our readers a cross-sectional reflection including the different actors involved in the control and fight against infectious diseases. The topics discussed will open new horizons not only in the field of prevention, but also in the field of therapy.

I hope that you will join us.

Prof. Dr. Jean-ralph Zahar
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Translational Medicine is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • antimicrobial stewardship
  • artificial intelligence
  • contact isolation
  • modelization
  • geography
  • behaviors

Published Papers (1 paper)

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Tutorial
Python Programming in PyPI for Translational Medicine
Int. J. Transl. Med. 2021, 1(3), 323-331; https://0-doi-org.brum.beds.ac.uk/10.3390/ijtm1030019 - 24 Nov 2021
Viewed by 211
Abstract
This is the world’s first tutorial article on Python Packaging for beginners and practitioners for translational medicine or medicine in general. This tutorial will allow researchers to demonstrate and showcase their tools on PyPI packages around the world. Nowadays, for translational medicine, researchers [...] Read more.
This is the world’s first tutorial article on Python Packaging for beginners and practitioners for translational medicine or medicine in general. This tutorial will allow researchers to demonstrate and showcase their tools on PyPI packages around the world. Nowadays, for translational medicine, researchers need to deal with big data. This paper describes how to build an executable Python Package Index (PyPI) code and package. PyPI is a repository of software for the Python programming language with 5,019,737 files and 544,359 users (programmers) as of 19 October 2021. First, programmers must understand how to scrape a dataset over the Internet; second, they must read the dataset file in csv format; third, build a program to compute the target values; fourth, convert the Python program to the PyPI package.; and fifth, upload the PyPI package. This paper depicts a covidlag executable package as an example for calculating the accurate case fatality rate (CFR) and the lag time from infection to death. You can install the covidlag by pip terminal command and test it. This paper also introduces deathdaily and scorecovid packages on PyPI Stats, which can inform how many users have downloaded the specified PyPI package. The usefulness and applicability of a developed tool can be verified by PyPI Stats with the number of downloaded users. Full article
(This article belongs to the Special Issue Translational Aspects of Infectious Diseases: From Bench to Bedside)
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