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#epidemiology

4 posts4 participants0 posts today

You’ve Been Lied to About Rats and the Black Death

Recent research suggests that rats may not have played a critical role in the spread of plague. What can that tell us about outbreak narratives and their importance?

By David Popa

mcgill.ca/oss/article/medical-

The Plague at PG:
gutenberg.org/ebooks/search/?q

"WASHINGTON, April 21 (Reuters) - The Food and Drug Administration is suspending a quality control program for testing of fluid milk and other dairy products due to reduced capacity in its food safety and nutrition division, according to an internal email seen by Reuters."

Good thing the CDC cuts affected state level food safety monitoring so we won't be able to identify which companies generate the outbreaks we'll have become of this!

Whew! That's a load of my mind!

/s

Menghadiri seminar hasil an. Hotma Hutapea di prodi S3 Epidemiologi FKM University of Indonesia dengan topik penelitian mengenai long COVID. Berfoto dengan Prof Mako, Dekan FKM UI, dengan jajarannya. Juga ada prof Sunarno , dari BRIN & Pak Adi Yulandi dari Universitas Atmajaya Jakarta😊
Sebagai ko-promotor, saya sangat puas dengan upaya Bu Hotma untuk mengintegrasikan Epidemiologi dengan Biologi molekuler dan Bioinformatika. 🙏
#COVID19 #epidemiology #bioinformatics #biomedicine

Replied in thread

@hfalcke, this call for an interdisciplinary study!

doi.org/10.1136/bmj.f7198

The BMJ · The survival time of chocolates on hospital wards: covert observational studyObjective To quantify the consumption of chocolates in a hospital ward environment. Design Multicentre, prospective, covert observational study. Setting Four wards at three hospitals (where the authors worked) within the United Kingdom. Participants Boxes of Quality Street (Nestlé) and Roses (Cadbury) on the ward and anyone eating these chocolates. Intervention Observers covertly placed two 350 g boxes of Quality Street and Roses chocolates on each ward (eight boxes were used in the study containing a total of 258 individual chocolates). These boxes were kept under continuous covert surveillance, with the time recorded when each chocolate was eaten. Main outcome measure Median survival time of a chocolate. Results 191 out of 258 (74%) chocolates were observed being eaten. The mean total observation period was 254 minutes (95% confidence interval 179 to 329). The median survival time of a chocolate was 51 minutes (39 to 63). The model of chocolate consumption was non-linear, with an initial rapid rate of consumption that slowed with time. An exponential decay model best fitted these findings (model R2=0.844, P<0.001), with a survival half life (time taken for 50% of the chocolates to be eaten) of 99 minutes. The mean time taken to open a box of chocolates from first appearance on the ward was 12 minutes (95% confidence interval 0 to 24). Quality Street chocolates survived longer than Roses chocolates (hazard ratio for survival of Roses v Quality Street 0.70, 95% confidence interval 0.53 to 0.93, P=0.014). The highest percentages of chocolates were consumed by healthcare assistants (28%) and nurses (28%), followed by doctors (15%). Conclusions From our observational study, chocolate survival in a hospital ward was relatively short, and was modelled well by an exponential decay model. Roses chocolates were preferentially consumed to Quality Street chocolates in a ward setting. Chocolates were consumed primarily by healthcare assistants and nurses, followed by doctors. Further practical studies are needed.

"Model simulations demonstrate that initiating self-isolation shortly after smartwatch-based disease detection could lower the reproduction number of these diseases to below 1, across diverse epidemiological conditions, various smartwatch detection accuracies, and realistic self-isolation rates... findings suggest a potential revolution in... control of seasonal diseases and future pandemics through the utilization of smartwatch-based detection systems."

#epidemiology

academic.oup.com/pnasnexus/art

Hi, I am Stéphane!

I'm a researcher in epidemiology and a medical doctor. My research areas include #AirPollution health effect, epidemiology and hopefully more on climate change in the coming years.

Occasionally talking about #FOSS, #RStats, #BigData, #PublicHealth and #teaching

Working at the University of Copenhagen.

Cycling in my free time.

This is a new introduction post after migrating from another mastodon instance (@ste_tuf@mastodon.zaclys.com)