New Model For Infectious Disease Could Better Predict Pandemics

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New Model For Infectious Disease Could Better Predict Pandemics

SUMMARY

By applying ecological and anthropological methodologies to modeling infectious disease, Smithsonian researchers are hopeful these techniques will lead to a better understanding of the environmental characteristics that contribute to antimicrobial resistance. The concept of One Health acknowledges the interconnectivity among people, animals and the environment and their impact on resistant genomes. Smithsonian’s ForestGEO and MarineGEO programs may be able to function as key data sources for AMR surveillance.

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Dr. Joel Mortensen explores the positive impact and untapped potential from using the BACT/ALERT^® VIRTUO^® blood culture system

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Estimated reading time: 4 minutes

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BIOMÉRIEUX EPISEQ^®

Provides easy-to-use applications for clinical microbiologists: bacterial and fungal identification, clinical pathogen outbreak management, microbiome profiling, and SARS-CoV-2 genomics variants identification.

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BIOMÉRIEUX EPISEQ^®

Provides easy-to-use applications for clinical microbiologists: clinical pathogen outbreak management, microbiome profiling, and SARS-CoV-2 genomics variants identification.

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PUBLISHED BY

Smithsonian’s National Zoo & Conservation Biology Institute
May 17, 2021