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

BACKGROUND: The spread of antimicrobial resistance (AMR) is of worldwide concern. Public health policymakers and pharmaceutical companies pursuing antibiotic development require accurate predictions about the future spread of AMR. AIM: We aimed to identify and model temporal and geographical pattern...

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Detalles Bibliográficos
Autores principales: Fallach, Noga, Dickstein, Yaakov, Silberschein, Erez, Turnidge, John, Temkin, Elizabeth, Almagor, Jonatan, Carmeli, Yehuda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Centre for Disease Prevention and Control (ECDC) 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403637/
https://www.ncbi.nlm.nih.gov/pubmed/32553060
http://dx.doi.org/10.2807/1560-7917.ES.2020.25.23.1900387

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403637/
https://www.ncbi.nlm.nih.gov/pubmed/32553060
http://dx.doi.org/10.2807/1560-7917.ES.2020.25.23.1900387

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