#epidemiology — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #epidemiology, aggregated by home.social.
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Avoiding areas thought to be disease hotspots may actually make outbreaks worse if local case reporting is incomplete. New research involving #WorldPop scientists reveals how travel behaviour can distort health data and hide disease risks, especially in rural areas. Better local reporting could save lives.
https://www.worldpop.org/blog/why-staying-away-from-infection-hotspots-can-backfire/
#GlobalHealth #PublicHealth #Epidemiology #GeoHealth #DiseaseSurveillance
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What is the future of nutritional epidemiology?
Open Access
doi.org/10.59717/j.x...
#Nutrition #Diet #Epidemiology #health #aging #food
RE: https://bsky.app/profile/did:plc:uqeu4u5bjwieganft5z42pkk/post/3muuetkyaas2m
Challenges, advances and futur... -
Operational #epidemiology of the early phase of the 2026 #Bundibugyo virus disease #outbreak in the #DRC and #Uganda, https://etidiohnew.blogspot.com/2026/08/operational-epidemiology-of-early-phase.html
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Bird Flu is here and it is likely about to go exponential.
Though, it doesn't hurt to hope its a fizzer , right ?Avoid Record and Report.
Snaffled from CDC site::
H5 bird flu (H5N1 clade 2.3.4.4b) has been detected in wild birds in Australia... At this stage there is no evidence of spread to other wildlife or poultry in Australia.
...
The risk to people in Australia is currently considered low.[1] Bird flu does not easily infect people.[1] This strain has not been reported in people here.
People should take simple steps to protect themselves against bird flu.
[And their fellow travellers]
If you notice sick or dead birds or other animals:
Avoid the area – do not touch them
Record your location and what you see...
Report this information to the 24-hour Emergency Animal Disease Hotline on 1800 675 888.
(Australia only)[1] Though Chooks
...
even _THAT_ magpie ... you know who you are ;> -
What’s the risk of humans getting sick from bird flu?
#BirdFlu #H5N1 #Health #AvianFlu #Virus #Influenza #Pandemic #Australia #Biosecurity #Poultry #Wildlife #FoodSafety #Virology #Epidemiology #DiseasePrevention #GlobalHealth #FlueVaccines #Research
https://the-14.com/whats-the-risk-of-humans-getting-sick-from-bird-flu/ -
What’s the risk of humans getting sick from bird flu?
#BirdFlu #H5N1 #Health #AvianFlu #Virus #Influenza #Pandemic #Australia #Biosecurity #Poultry #Wildlife #FoodSafety #Virology #Epidemiology #DiseasePrevention #GlobalHealth #FlueVaccines #Research
https://the-14.com/whats-the-risk-of-humans-getting-sick-from-bird-flu/ -
What’s the risk of humans getting sick from bird flu?
#BirdFlu #H5N1 #Health #AvianFlu #Virus #Influenza #Pandemic #Australia #Biosecurity #Poultry #Wildlife #FoodSafety #Virology #Epidemiology #DiseasePrevention #GlobalHealth #FlueVaccines #Research
https://the-14.com/whats-the-risk-of-humans-getting-sick-from-bird-flu/ -
What’s the risk of humans getting sick from bird flu?
#BirdFlu #H5N1 #Health #AvianFlu #Virus #Influenza #Pandemic #Australia #Biosecurity #Poultry #Wildlife #FoodSafety #Virology #Epidemiology #DiseasePrevention #GlobalHealth #FlueVaccines #Research
https://the-14.com/whats-the-risk-of-humans-getting-sick-from-bird-flu/ -
What’s the risk of humans getting sick from bird flu?
#BirdFlu #H5N1 #Health #AvianFlu #Virus #Influenza #Pandemic #Australia #Biosecurity #Poultry #Wildlife #FoodSafety #Virology #Epidemiology #DiseasePrevention #GlobalHealth #FlueVaccines #Research
https://the-14.com/whats-the-risk-of-humans-getting-sick-from-bird-flu/ -
🚨 AI is entering the fight against malaria.
MalarAI combines geospatial modelling, mobility analytics, climate data, and epidemiology to track how malaria spreads across populations.
🌍 Starting in Zanzibar, the project aims to identify transmission hotspots in near real time and support precision-targeted malaria elimination strategies.
Learn more: https://www.worldpop.org/blog/how-ai-and-data-of-population-dynamics-could-help-eliminate-malaria/
#AI #GlobalHealth #Malaria #DataScience #Epidemiology #PublicHealth #Geospatial #HealthTech #DataForGood
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Astroturfing Is Pretty Pointless When Social Subgraphs Are Fragmented (e.g., the Fediverse)
I am seeing astroturfing in the fediverse again, by AT Protocol developers implicitly trying to shill their products. I think it is stochastic behavior by developers with too much time on their hands. Honestly, I do not care. I like the people on ActivityPub more, but I like the AT Protocol better, and I have developed for both. Astroturfing on ActivityPub networks is fascinating to me because it is so pointless.
I am actually a Computational Biologist and Computer Scientist whose specialty is combinatorics, social graphs, graph theory, etc. Specifically, I use this to create epidemiological models for the memetic layer of human behaviors that act as vectors for diseases, using the SIRS model. I do not just study germs; I study human behaviors.
The models I construct extend into a “memetic layer,” in which beliefs, norms, and behaviors (such as risk-taking, compliance with public health measures, or susceptibility to misinformation) spread contagiously through social networks. These behaviors function as vectors that modulate biological transmission rates. As a result, the spread of ideas can accelerate, dampen, or reshape the spread of disease. By running computational simulations and agent-based models on these graphs, I study how network structure, influential nodes, clustering, and platform-specific dynamics affect behavioral contagion. I also examine how these factors influence epidemiological outcomes.
To say it very concisely, I study how the spread of bat-shit insane beliefs, shit posts, and memes influences whether or not there is a measles outbreak in Texas. Ironically, this is an evolution of my studying semiotics, memetics, and chaos magick in high school. I got a job where I can use occult, anarchist techniques professionally.
I think a large reason why I do not care about astroturfing in the fediverse is that it’s so pointless, lol. Astroturfing to manipulate the narrative would actually work better on Bluesky to keep people there than trying to recruit from the fediverse. Furthermore, big instances are relatively small. Some people on Bluesky have follower lists larger than an entire large instance in the fediverse.
Within ActivityPub networks, astroturfing rarely propagates far, because whether information spreads depends on properties of the social graph itself. Dense connectivity, short paths between communities, and a sufficient number of cross-cutting ties support diffusion. ActivityPub’s architecture tends to produce graphs that are fragmented and highly modular. This limits the reach of coordinated activity.
ActivityPub is a system where each instance maintains its own local user graph and exchanges activities through inboxes and outboxes. This makes it autonomous and decentralized. The network consists of loosely connected subgraphs. Cross-instance edges appear only through explicit follow relationships. The ActivityPub protocol does not provide a shared or complete view of the network. Measurements of the fediverse consistently show uneven connectivity between instances, clustering at the instance level, and relatively long effective path lengths across the network. Under these conditions, large cascades are uncommon.
Instance-level clustering means that in ActivityPub networks, users interact much more with others on the same server than with users on different servers. Because each instance has its own local timeline, culture, and moderation, connections form densely within instances and only sparsely across them through explicit follow relationships. This creates a network made up of tightly connected local communities linked by relatively few cross-instance ties, which slows the spread of information beyond its point of origin.
However, with the AT Protocol, global indexing and aggregation are explicitly supported. Relays and indexers can assemble near-complete views of the social graph. Applications built on top of this infrastructure operate over a graph that is denser and easier to traverse. There are fewer structural barriers between communities. The diffusion dynamics change substantially when content can move across the graph without relying on narrow federated paths.
Astroturfing depends on coordinated amplification, typically through tightly synchronized clusters of accounts intended to manufacture visibility. Work on coordinated inauthentic behavior shows that these tactics gain traction when they intersect highly connected regions of the graph or bridge otherwise separate communities. In networks with strong modularity, coordination remains local. ActivityPub’s federation model produces this kind of modularity by default. Coordinated clusters stand out clearly within instances. Their effects remain confined to those local neighborhoods.
Astroturfing on ActivityPub therefore tends to stall on its own because of the underlying graph topology. Without dense inter-instance connectivity or any form of global indexing, coordinated campaigns have a hard time moving beyond the immediate regions where they originate. Systems built on globally indexable social graphs, including those enabled by the AT Protocol, expose a much larger surface for viral spread. Network structure and connectivity account for the divergence where that is independent of moderation, cultural norms, ideology, or intent.
It’s just really funny to me how these stochastic techbro groups waste so many resources. I personally don’t want to go viral, which is why I avoid platforms where I can. The fact that it’s harder to achieve high virality on ActivityPub is exactly why I prefer the fediverse over the Atmosphere. One way to think about it is that you can change the ‘genetics’ of a system with a retrovirus, where memetic entities act as cultural retroviruses to reprogram the cultural loci of a space. That is their end goal. They are trying to hijack cultures memetically. You see this a lot with culture jamming.
Basically, the astroturfing on ActivityPub networks is designed to jam and subvert the culture. But, as I have already said, the topological structure makes memetic virality stall. They cannot achieve that kind of viral spread in the fediverse, which is why I cannot understand why they do this every year.
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All #active #tick #stages (including #Larvae !) feed on #deer , thus enabling #cofeeding #transmission of tick-borne #Diseases
#FREE #Full #text #PDF available at https://goo.gl/gEAbfN
#Ixodes #ricinus #Capreolus #capreolus
#EU #FP6 #EDEN #Project #Emerging #Diseases in a changing #European #eNvironment #Epidemiology #Ticks #Parasites #Pathogens #Science #Scientific #Research #Data #OpenAccess #DOI #Germany #Deutschland #Europe #Europa #TBD #Zoonoses #ZoonoticDiseases #TickBorneDiseases
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This multinational study describes the development and validation of a diagnostic tool (EMERALD) -- a miRNA panel designed to differentiate persons with (or at risk of) #esophageal adenocarcinoma, from non-disease controls. The diagnostic potential of the panel was assessed using #machineLearning models. The findings suggest that it could serve as a #liquidBiopsy and facilitate screening in high-risk persons.
#cancer #epidemiology #screening #cancerPrevention
https://www.esocan.org/liquid-biopsy-to-diagnose-esophageal-adenocarcinoma/ -
My opening credits for #ISOQOL
#1/
Greeted on the Hohenzollernbrücke with a statement from the results of the #SoliMed #Gesundheitsatlas #Köln 👇
https://solimed-koeln.de/gesundheitsatlas-koeln/
#SDoH #SocialDeterminants #Epidemiology#2/
Then my final meeting as Editor in Chief of Quality Of Life Research. Counting down the issues, with the October one just out (two more to go):
https://link.springer.com/journal/11136/volumes-and-issues/33-10 -
It was a really excellent first day at #MWMsymposium, thank you to all presenters!
I have posted some reflections and resources from the presenters in my🟦feed:
https://bsky.app/profile/jrboehnke.bsky.socialTomorrow you will find me posting here about the talks.
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I'm super excited that later today at 10:30 Eastern Time I'll be speaking at the Data+Donuts series at Harvard Kennedy School about the Public Health Disparities Geocoding Project 2.0.
Among other things, I'll talk a little bit about the role the #tidycensus package and GIS software in R like #sf can serve in analyzing data to advance health justice.
Find the online registration here:
@rstats #HealthJustice #GIS #HealthEquity #Epidemiology #PublicHealth #rstats
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Who are the #epidemiologists and infectious disease #modellers on Mastodon?
Will update this list as I come across them & if you “favourite” or “boost” this toot you will be updated every time there is an addition.
This helps create an “Epidemiology/Modellers” list on mastodon to browse their focused stream.
List so far:
@famulare
@enenbee
@aetiology
@DrZoeHyde
@dgbassani
@doxy_cycling
@adamjkucharski
@dgurdasani1
@epiellie
@mlipsitch
@deonandan
@seabbs
#epidemiology #epidemiologist -
Rather than having evolved in an immunocompromised person in South Africa as suspected, Omicron seems to have evolved in steps while circulating in West Africa during summer 2021 before exploding across the south that autumn.
https://www.science.org/doi/10.1126/science.add8737#ViralEvolution #Omicron #SarsCoV2 #Virology #WestAfrica #SouthAfrica #Immunocompromised #COVID19 #OriginOfCovid #ScienceMagazine #Phylogenetics #VirusEvolution #BA1 #VariantsOfSARSCoV2 #ViralGenetics #Epidemiology #InfectiousDiseaseEpidemiology