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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Detalhes bibliográficos
Publicado no:Euro Surveill
Main Authors: Fallach, Noga, Dickstein, Yaakov, Silberschein, Erez, Turnidge, John, Temkin, Elizabeth, Almagor, Jonatan, Carmeli, Yehuda
Formato: Artigo
Idioma:Inglês
Publicado em: European Centre for Disease Prevention and Control (ECDC) 2020
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7403637/
https://ncbi.nlm.nih.gov/pubmed/32553060
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2807/1560-7917.ES.2020.25.23.1900387
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