Utilising sigmoid models to predict the spread of antimicrobial resistance at the country level.

Saved in:

Bibliographic Details
Title:	Utilising sigmoid models to predict the spread of antimicrobial resistance at the country level.
Authors:	Fallach N; National Institute for Antibiotic Resistance and Infection Control, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel., Dickstein Y; National Institute for Antibiotic Resistance and Infection Control, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel., Silberschein E; National Institute for Antibiotic Resistance and Infection Control, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel., Turnidge J; University of Adelaide, Adelaide, Australia., Temkin E; National Institute for Antibiotic Resistance and Infection Control, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel., Almagor J; National Institute for Antibiotic Resistance and Infection Control, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel., Carmeli Y; National Institute for Antibiotic Resistance and Infection Control, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Corporate Authors:	DRIVE-AB Consortium; http://drive-ab.eu.
Source:	Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin [Euro Surveill] 2020 Jun; Vol. 25 (23).
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: European Centre for Disease Prevention and Control (ECDC) Country of Publication: Sweden NLM ID: 100887452 Publication Model: Print Cited Medium: Internet ISSN: 1560-7917 (Electronic) Linking ISSN: 1025496X NLM ISO Abbreviation: Euro Surveill Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1560-7917
DOI:	10.2807/1560-7917.ES.2020.25.23.1900387