Developed by SHEA, APIC, @idsainfo.bsky.social, & others, this guidance updates best practices across devices, settings, and standards aligned with latest CDC updates
#IDSky
📄: doi.org/10.1017/ice....
Developed by SHEA, APIC, @idsainfo.bsky.social, & others, this guidance updates best practices across devices, settings, and standards aligned with latest CDC updates
#IDSky
📄: doi.org/10.1017/ice....
www.contagionlive.com/view/childre...
@cmcurtis.bsky.social 👍
#IDSky #ClinMicro #AMR
academic.oup.com/jac/advance-...
@cmcurtis.bsky.social 👍
#IDSky #ClinMicro #AMR
academic.oup.com/jac/advance-...
If papers with improper controls, minuscule effect sizes and misintterpreted data pile up, cleaning up will be impossible!
If papers with improper controls, minuscule effect sizes and misintterpreted data pile up, cleaning up will be impossible!
#IDSky
#TB
www.nejm.org/doi/10.1056/...
#IDSky
#TB
www.nejm.org/doi/10.1056/...
- a Journal 🧵
In a randomized trial involving men and transgender people, twice-yearly lenacapavir (LEN) was highly efficacious at preventing HIV acquisition
#IDSKy
#HIV
(Kelley CF et al. N Engl J Med 2024 Nov 27)
doi.org/10.1056/NEJM...
- a Journal 🧵
In a randomized trial involving men and transgender people, twice-yearly lenacapavir (LEN) was highly efficacious at preventing HIV acquisition
#IDSKy
#HIV
(Kelley CF et al. N Engl J Med 2024 Nov 27)
doi.org/10.1056/NEJM...
👉In 1 year, 4% of deaths were AMR-attributed & NONE were recorded on death certificates!👈
Need to quantify this better to increase awareness! #IDSky @jac-amr.bsky.social
👉In 1 year, 4% of deaths were AMR-attributed & NONE were recorded on death certificates!👈
Need to quantify this better to increase awareness! #IDSky @jac-amr.bsky.social
Read about all news and updates of BacDive 🦠, the leading database for prokaryotic strain data! 2.6 million data points on 97,334 strains, a new SPARQL ✨ endpoint, genome-based predictions 🖥️🧬 and more.
#DSMZDigitalDiversity #science 🧪 #databases #FAIRdata
Read about all news and updates of BacDive 🦠, the leading database for prokaryotic strain data! 2.6 million data points on 97,334 strains, a new SPARQL ✨ endpoint, genome-based predictions 🖥️🧬 and more.
#DSMZDigitalDiversity #science 🧪 #databases #FAIRdata
Welcome to @jac-amr.bsky.social!
(under auspices of @bsacandjac.bsky.social )
#AMR #microsky
Welcome to @jac-amr.bsky.social!
(under auspices of @bsacandjac.bsky.social )
#AMR #microsky