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Reposted by Mui Pham

Dr Joel C Miller @joelcmiller.bsky.social · 18/09/2026

(please retweet): Now that math social media is a little quieter I have an announcement: Our 2nd edition of "Mathematics of Epidemics on Networks" is out. 1 new co-author (Greg Rempala) 4 new chapters update to EoN software package link.springer.com/book/10.1007...

link.springer.com

Mathematics of Epidemics on Networks

Textbook, featuring practical simulation algorithms written in pseudocode with implemented code available online.

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Mui Pham @tmpham.bsky.social · 16/08/2024

Lastly, this is a descriptive piece and we do not make any causal claims but we do try to discuss potential explanations for the observed trends in the paper.

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Mui Pham @tmpham.bsky.social · 16/08/2024

There are several limitations. As a VA study, the patient population differs from the general population in demographics, comorbidities, healthcare-use patterns. BUT we used data from 138 hospitals w/ varying complexity levels, different geographical regions in the US + over 15 y

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Mui Pham @tmpham.bsky.social · 16/08/2024

Ongoing infection control measures, stewardship interventions + surveillance of AMR remain essential. Our study provides a comprehensive view of the antimicrobial landscape in the USA. However, it's also important to monitor and understand local epidemiological patterns.

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Mui Pham @tmpham.bsky.social · 16/08/2024

So, some resistance trends are improving, but others, such as the rise in ESBL-producing Enterobacterales and hospital-associated infections during the COVID-19 pandemic, are concerning. This warrants caution in prescribing antibiotics, particularly 3rd-gen CPH and carbapenems.

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Mui Pham @tmpham.bsky.social · 16/08/2024

We found significant reductions in MRSA, VRE, and fluoroquinolone resistance across **multiple** pathogens, alongside a drastic decline in fluoroquinolone prescribing suggesting the effectiveness of infection control and antimicrobial stewardship efforts.

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Mui Pham @tmpham.bsky.social · 16/08/2024

We hope that the adoption of both measures will become the new standard in reporting, ultimately aiding decision-making in healthcare settings and improving public health strategies.

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Mui Pham @tmpham.bsky.social · 16/08/2024

We highlight the importance of coupling data on resistance proportions (% of resistant isolates) with phenotypic incidence (no. of isolates with resistant, susceptible, or missing test results per population per unit time) to accurately assess and interpret AMR burden and trends.

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Mui Pham @tmpham.bsky.social · 16/08/2024

Free access to the paper until Oct 5 here: authors.elsevier.com/a/1jbJ8_XVyh...

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