- Jul 2023
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arxiv.org arxiv.org
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A second, complementary, approach relies on post-hoc machine learning and forensic anal-ysis to passively identify statistical and physical artifacts left behind by media manipulation.For example, learning-based forensic analysis techniques use machine learning to automati-cally detect manipulated visual and auditory content (see e.g. [94]). However, these learning-based approaches have been shown to be vulnerable to adversarial attacks [95] and contextshift [96]. Artifact-based techniques exploit low-level pixel artifacts introduced during synthe-sis. But these techniques are vulnerable to counter-measures like recompression or additivenoise. Other approaches involve biometric features of an individual (e.g., the unique motionproduced by the ears in synchrony with speech [97]) or behavioral mannerisms [98]). Biomet-ric and behavioral approaches are robust to compression changes and do not rely on assump-tions about the moment of media capture, but they do not scale well. However, they may bevulnerable to future generative-AI systems that may adapt and synthesize individual biometricsignals.
Examples of methods for detecting machine generated visual media
Tags
Annotators
URL
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- Jun 2023
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Ernest Hemingway’s idea of the ‘crap detector’
source?
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- Mar 2023
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www.xda-developers.com www.xda-developers.com
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Google has had the ability to harden SafetyNet checks using hardware-backed key attestation for several years now. The fact that they refrained to do so for 3 years has allowed users to enjoy root and Magisk Modules without sacrificing the ability to use banking apps. However, it seems that Magisk's ability to effectively hide the bootloader unlock status is soon coming to an end. It's a change that we've expected for years, but we're sad to see it finally go into effect.
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- Nov 2022
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docs.google.com docs.google.com
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https://docs.google.com/document/d/163G79vq-mFWjIqMb9AzYGbr5Y8YMGcpbSzJRutO8tpw/edit
Howard Rheingold, et al. A Guide to Crap Detection Resources
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- Aug 2022
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Summarization of Methods for DeFi Optimization
squashed resource table of methods for DeFi Optimization.
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- Jun 2022
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What is color for?" And instead of telling you, I'll just show you. What you see here is a jungle scene, 00:02:08 and you see the surfaces according to the amount of light that those surfaces reflect. Now, can any of you see the predator that's about to jump out at you? And if you haven't seen it yet, you're dead, right? (Laughter) Can anyone see it? Anyone? No? Now let's see the surfaces according to the quality of light that they reflect. And now you see it. So, color enables us to see 00:02:32 the similarities and differences between surfaces, according to the full spectrum of light that they reflect. But what you've just done is in many respects mathematically impossible. Why? Because, as Berkeley tells us, we have no direct access to our physical world, other than through our senses. And the light that falls onto our eyes is determined by multiple things in the world, not only the color of objects, 00:02:56 but also the color of their illumination, and the color of the space between us and those objects. You vary any one of those parameters, and you'll change the color of the light that falls onto your eye. This is a huge problem, because it means that the same image could have an infinite number of possible real-world sources
BEing journey 2 pattern detection
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- Mar 2022
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twitter.com twitter.com
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Leo Poon. (2022, January 15). @MackayIM @Clin_Chem_AACC HK has another lay of swiss cheese. Testing waste water to identify COVID positive buildings, following by mandatory testing on occupants. It can find some silent spreaders. Https://t.co/2wu6QG6Db1 [Tweet]. @world_epidemic. https://twitter.com/world_epidemic/status/1482189879010217986
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- Feb 2022
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twitter.com twitter.com
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Yaniv Erlich on Twitter. (n.d.). Twitter. Retrieved February 8, 2022, from https://twitter.com/erlichya/status/1482847821397176325
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www.buzzfeednews.com www.buzzfeednews.com
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Camero, K. (n.d.). If You Think You Have COVID But Your Rapid Test Is Negative, Here’s Why. BuzzFeed News. Retrieved February 4, 2022, from https://www.buzzfeednews.com/article/katiecamero/negative-covid-test
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- Jan 2022
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twitter.com twitter.com
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Mrigank Shail, MD. (2022, January 11). Update on Omicron by Dr @mvankerkhove from @WHO’s Q&A https://t.co/NqCOvs59Tl [Tweet]. @mrigankshail. https://twitter.com/mrigankshail/status/1481006646826577925
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www.statnews.com www.statnews.com
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Scientists try to pinpoint why rapid Covid tests are missing some cases. (2022, January 6). STAT. https://www.statnews.com/2022/01/06/scientists-try-to-pinpoint-why-rapid-covid-tests-are-missing-cases/
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- Dec 2021
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Mahase, E. (2021). Covid-19: Do vaccines work against omicron—and other questions answered. BMJ, 375, n3062. https://doi.org/10.1136/bmj.n3062
Tags
- epidemiology
- restrictions
- testing
- antiviral
- PCR
- Africa
- risk
- modeling
- vaccine
- travel ban
- antibody
- Omicron
- is:article
- detection
- reinfection
- Europe
- mutation
- treatment
- variant
- data
- hospitalization
- booster
- severity
- mask wearing
- response
- transmissibility
- work from home
- COVID-19
- delta
- UK
- domestic measures
- South Africa
- infection rate
- research
- lang:en
- EU
Annotators
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inews.co.uk inews.co.uk
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Omicron cases may be far higher than currently confirmed, variant marker analysis reveals. (2021, December 8). Inews.Co.Uk. https://inews.co.uk/news/health/omicron-covid-cases-may-be-seven-times-higher-than-confirmed-1341156
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www.medrxiv.org www.medrxiv.org
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Lai, J., German, J., Hong, F., Tai, S.-H. S., McPhaul, K. M., Milton, D. K., & Group, for the U. of M. S. R. (2021). Comparison of Saliva and Mid-Turbinate Swabs for Detection of COVID-19 (p. 2021.12.01.21267147). https://doi.org/10.1101/2021.12.01.21267147
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www.abbott.com www.abbott.com
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Evaluating Omicron and Other COVID Variants to Ensure Test Effectiveness. (n.d.). Abbott. Retrieved December 3, 2021, from https://www.abbott.com/corpnewsroom/diagnostics-testing/monitoring-covid-variants-to-ensure-test-effectiveness.html
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- Nov 2021
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www.nature.com www.nature.com
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Cauchemez, S., & Bosetti, P. (2021). A reconstruction of early cryptic COVID spread. Nature. https://doi.org/10.1038/d41586-021-02989-3
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- Oct 2021
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ieeexplore.ieee.org ieeexplore.ieee.org
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FAKE NEWS DETECTION IN PRACTICE
The article showed the scientific processes that can be used in analyzing information and how they applied it in fact-checking. Technology makes fact-checking easier and faster but humans are still the most accurate. That is why studying information science is important because of its relevance to the society.
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www.bbc.co.uk www.bbc.co.uk
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Covid: Lateral flow tests more accurate than first thought, study finds—BBC News. (n.d.). Retrieved October 15, 2021, from https://www.bbc.co.uk/news/health-58899612
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link.springer.com link.springer.com
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Shahsavari, S., Holur, P., Wang, T., Tangherlini, T. R., & Roychowdhury, V. (2020). Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news. Journal of Computational Social Science, 3(2), 279–317. https://doi.org/10.1007/s42001-020-00086-5
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- May 2021
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www.theguardian.com www.theguardian.com
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Ministers ‘failed to act on Bedford Covid variant surge for two weeks’ | Coronavirus | The Guardian. (n.d.). Retrieved May 24, 2021, from https://www.theguardian.com/world/2021/may/23/ministers-failed-to-act-on-bedford-covid-variant-surge-for-two-weeks
Tags
- intervention
- epidemiology
- prevention
- variant
- sewage
- response
- Bedford
- government
- COVID-19
- UK
- travel ban
- wastewater
- lang:en
- Indian variant
- detection
- is:news
Annotators
URL
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psyarxiv.com psyarxiv.com
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Armitage, C., Keyworth, C., Leather, J., Byrne-Davis, L., & Epton, T. (2020). Identifying Targets For Interventions To Support Public Adherence To Government COVID-19-Related Instructions. PsyArXiv. https://doi.org/10.31234/osf.io/8gfvb
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Mallapaty, S. (2020). The mathematical strategy that could transform coronavirus testing. Nature. https://doi.org/10.1038/d41586-020-02053-6
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www.thelancet.com www.thelancet.com
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Peeters, A., Mullins, G., Becker, D., Orellana, L., & Livingston, P. (2020). COVID-19’s impact on Australia’s health research workforce. The Lancet, 396(10249), 461. https://doi.org/10.1016/S0140-6736(20)31533-6
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hashnode.com hashnode.com
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that garbage has ZERO damned business in an e-mail which is why a great many places use HTML only e-mail as a trigger for spam detection! (if you send multipart as both text/html and text/plain, you're fine)
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- Apr 2021
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www.thelancet.com www.thelancet.com
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Tan, Steph H., Orchid Allicock, Mari Armstrong-Hough, and Anne L. Wyllie. ‘Saliva as a Gold-Standard Sample for SARS-CoV-2 Detection’. The Lancet Respiratory Medicine 0, no. 0 (19 April 2021). https://doi.org/10.1016/S2213-2600(21)00178-8.
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- Mar 2021
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www.tandfonline.com www.tandfonline.com
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Xu, Z., & Guo, H. (2018). Using Text Mining to Compare Online Pro- and Anti-Vaccine Headlines: Word Usage, Sentiments, and Online Popularity. Communication Studies, 69(1), 103–122. https://doi.org/10.1080/10510974.2017.1414068
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www.theguardian.com www.theguardian.com
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Carl Bergstrom: “People are using data to bullshit.” (2020, August 1). The Guardian. http://www.theguardian.com/science/2020/aug/01/carl-bergstrom-people-are-using-data-to-bullshit
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stm.sciencemag.org stm.sciencemag.org
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Silverman, J. D., Hupert, N., & Washburne, A. D. (2020). Using influenza surveillance networks to estimate state-specific prevalence of SARS-CoV-2 in the United States. Science Translational Medicine. https://doi.org/10.1126/scitranslmed.abc1126
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www.medrxiv.org www.medrxiv.org
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López, J. A. M., Arregui-Garcĺa, B., Bentkowski, P., Bioglio, L., Pinotti, F., Boëlle, P.-Y., Barrat, A., Colizza, V., & Poletto, C. (2020). Anatomy of digital contact tracing: Role of age, transmission setting, adoption and case detection. MedRxiv, 2020.07.22.20158352. https://doi.org/10.1101/2020.07.22.20158352
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Lang, T. (2020). Plug COVID-19 research gaps in detection, prevention and care. Nature, 583(7816), 333–333. https://doi.org/10.1038/d41586-020-02004-1
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css-tricks.com css-tricks.com
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But there doesn’t appear to be a simple way to test for :placeholder-shown.
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You can’t use @supports for selectors, only property/values (e.g. @supports (display: flex))
first sighting CSS: @supports
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- Feb 2021
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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McMurtry, C. M. (2020). Managing immunization stress-related response: A contributor to sustaining trust in vaccines. Canada Communicable Disease Report, 46(6), 210–218. https://doi.org/10.4745/ccdr.v46i06a10
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github.com github.com
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image-lidar fusion algorithm
This is quite popular recent two years - hybrid method, multi-modality
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KITTI
dataset
Tags
Annotators
URL
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medium.com medium.com
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But I’m afraid it’s perfectly possible to ship one version of your code to GitHub and a different version to npm.
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The point is, just because you don’t see it, doesn’t mean it’s not happening. It’s been more than two years and as far as I know, no one has ever noticed one of my requests. Maybe it’s been in your site this whole time
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Also the URL looks a lot like the 300 other requests to ad networks your site makes.
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I’d notice the network requests going out!Where would you notice them? My code won’t send anything when the DevTools are open (yes even if un-docked).I call this the Heisenberg Manoeuvre: by trying to observe the behaviour of my code, you change the behaviour of my code.
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github.com github.com
- Jan 2021
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stackoverflow.com stackoverflow.com
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If you manage to make Svelte aware of what needs to be tracked, chances are that the resulting code will be more performant than if you roll your own with events or whatever. In part because it will use Svelte's runtime code that is already present in your app, in part because Svelte produces seriously optimized change tracking code, that would be hard to hand code all while keeping it human friendly. And in part because your change tracking targets will be more narrow.
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- Dec 2020
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developer.mozilla.org developer.mozilla.org
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This creates an options object with a getter function for the passive property; the getter sets a flag, passiveSupported, to true if it gets called. That means that if the browser checks the value of the passive property on the options object, passiveSupported will be set to true; otherwise, it will remain false. We then call addEventListener() to set up a fake event handler, specifying those options, so that the options will be checked if the browser recognizes an object as the third parameter.
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- Nov 2020
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imfeld.dev imfeld.dev
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Svelte's advantage here is that it indicates the need for an update at the place where the associated data is updated, instead of at each place the data is used. Then each template expression of reactive statement is able to check very quickly if it needs to rerender or not.
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But you can still run into strange race conditions where the browser displays stale data depending on if some other unrelated code has caused a digest update to run after the buggy code or not.
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medium.com medium.com
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The advantage of ngOnChanges() is that we get all the changes at once if the component has several @Input()s. However, if we have a single @Input() a setter is probably the better approach.
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www.bio-rad.com www.bio-rad.com
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To detect foreign DNA in 5 ml of lake water, 15 ml of lake water must be screened.
Why is this multiplied by 3? Related to statistical error of subsampling - rule of three)
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- Oct 2020
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psyarxiv.com psyarxiv.com
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Jaeger, B., Oud, B., Williams, T., Krumhuber, E., Fehr, E., & Engelmann, J. B. (2020, October 20). Trustworthiness detection from faces: Does reliance on facial impressions pay off?. https://doi.org/10.31234/osf.io/ayqeh
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Identify your user agents When deploying software that makes requests to other sites, you should set a custom User-Agent header to identify the software and provide a means to contact its maintainers. Many of the automated requests we receive have generic user-agent headers such as Java/1.6.0 or Python-urllib/2.1 which provide no information on the actual software responsible for making the requests.
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github.com github.com
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Perhaps we should detect URLSearchParams objects differently (using duck typing detection instead of instanceof window.URLSearchParams, for example) but the solution isn't adding a specific polyfill to Axios (as it'd increase the bundle size and still won't work with other polyfills).
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ponyfoo.com ponyfoo.comPony Foo1
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Sometimes we can’t implement a solution that’s fully spec-compliant, and in those cases using a polyfill might be the wrong answer. A polyfill would translate into telling the rest of the codebase that it’s okay to use the feature, that it’ll work just like in modern browsers, but it might not in edge cases.
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www.coe.int www.coe.int
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AI and control of Covid-19 coronavirus. (n.d.). Artificial Intelligence. Retrieved October 15, 2020, from https://www.coe.int/en/web/artificial-intelligence/ai-and-control-of-covid-19-coronavirus
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academic.oup.com academic.oup.com
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Abbott, K. R., & Sherratt, T. N. (2013). Optimal sampling and signal detection: Unifying models of attention and speed–accuracy trade-offs. Behavioral Ecology, 24(3), 605–616. https://doi.org/10.1093/beheco/art001
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www.reddit.com www.reddit.com
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r/BehSciResearch—Review on combatting the COVID misinformation flood. (n.d.). Reddit. Retrieved October 12, 2020, from https://www.reddit.com/r/BehSciResearch/comments/j9mrlp/review_on_combatting_the_covid_misinformation/
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www.scientificamerican.com www.scientificamerican.com
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Nouri, A. B., Ali. (n.d.). COVID Misinformation Is Killing People. Scientific American. Retrieved October 12, 2020, from https://www.scientificamerican.com/article/covid-misinformation-is-killing-people1/
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www.ecdc.europa.eu www.ecdc.europa.eu
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New tool for the early detection of public health threats from Twitter data: Epitweetr. (2020, October 1). European Centre for Disease Prevention and Control. https://www.ecdc.europa.eu/en/news-events/new-tool-early-detection-public-health-threats-twitter-data-epitweetr
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www.theguardian.com www.theguardian.com
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Scientists study whether immune response wards off or worsens Covid. (2020, October 4). The Guardian. http://www.theguardian.com/science/2020/oct/04/scientists-study-whether-immune-response-wards-off-or-worsens-covid
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www.medrxiv.org www.medrxiv.org
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Kaplan, Edward H, Dennis Wang, Mike Wang, Amyn A Malik, Alessandro Zulli, and Jordan H Peccia. ‘Aligning SARS-CoV-2 Indicators via an Epidemic Model: Application to Hospital Admissions and RNA Detection in Sewage Sludge’. Preprint. Infectious Diseases (except HIV/AIDS), 29 June 2020. https://doi.org/10.1101/2020.06.27.20141739.
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- Sep 2020
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www.scientificamerican.com www.scientificamerican.com
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Daley, J. (n.d.). Millions of Rapid COVID-19 Antigen Tests May Help Fill the Testing Gap. Scientific American. Retrieved September 30, 2020, from https://www.scientificamerican.com/article/millions-of-rapid-covid-19-antigen-tests-may-help-fill-the-testing-gap/
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stackoverflow.com stackoverflow.com
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the promise specification explicitly does not make a distinction
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www.nature.com www.nature.com
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LOD was defined as <x>bi + ksbi, where <x>bi equals the mean of the no-template controls, sbi is s.d. of no-template controls and k = 2.479 (99% confidence interval)
ddPCR
Tags
Annotators
URL
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www.thelancet.com www.thelancet.com
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Chin, A. W. H., Chu, J. T. S., Perera, M. R. A., Hui, K. P. Y., Yen, H.-L., Chan, M. C. W., Peiris, M., & Poon, L. L. M. (2020). Stability of SARS-CoV-2 in different environmental conditions. The Lancet Microbe, 1(1), e10. https://doi.org/10.1016/S2666-5247(20)30003-3
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- Aug 2020
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psyarxiv.com psyarxiv.com
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Tybur, J. M., Lieberman, D., Fan, L., Kupfer, T., & de Vries, R. E. (2020). Behavioral immune tradeoffs: Interpersonal value relaxes social pathogen avoidance [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/ec8uw
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openreview.net openreview.net
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Santosh, R., Guntuku, S. C., Schwartz, H., Eichstaedt, J., & Ungar, L. (2020). Detecting Symptoms using Context-based Twitter Embeddings during COVID-19. https://openreview.net/forum?id=DFJhXXPZrM7
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www.medrxiv.org www.medrxiv.org
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Herper, M. (2020, July 1). Covid-19 vaccine from Pfizer and BioNTech shows positive results. CNBC. https://www.cnbc.com/2020/07/01/coronavirus-vaccine-from-pfizer-and-biontech-shows-positive-results-report-says.html
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pubs.acs.org pubs.acs.org
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Shan, B., Broza, Y. Y., Li, W., Wang, Y., Wu, S., Liu, Z., Wang, J., Gui, S., Wang, L., Zhang, Z., Liu, W., Zhou, S., Jin, W., Zhang, Q., Hu, D., Lin, L., Zhang, Q., Li, W., Wang, J., … Haick, H. (2020). Multiplexed Nanomaterial-Based Sensor Array for Detection of COVID-19 in Exhaled Breath. ACS Nano. https://doi.org/10.1021/acsnano.0c05657
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www.thelancet.com www.thelancet.com
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Mohammadi, A., Esmaeilzadeh, E., Li, Y., Bosch, R. J., & Li, J. Z. (2020). SARS-CoV-2 detection in different respiratory sites: A systematic review and meta-analysis. EBioMedicine, 0(0). https://doi.org/10.1016/j.ebiom.2020.102903
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www.medrxiv.org www.medrxiv.org
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Cevik, M., Tate, M., Lloyd, O., Maraolo, A. E., Schafers, J., & Ho, A. (2020). SARS-CoV-2, SARS-CoV-1 and MERS-CoV viral load dynamics, duration of viral shedding and infectiousness: A living systematic review and meta-analysis. MedRxiv, 2020.07.25.20162107. https://doi.org/10.1101/2020.07.25.20162107
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www.youtube.com www.youtube.com
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Identifying social media manipulation with OSoMe tools. (2020, August 11). https://www.youtube.com/watch?v=1BMv0PrdVGs&feature=youtu.be
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- Jul 2020
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osf.io osf.io
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Tasnim, S., Hossain, M. M., & Mazumder, H. (2020). Impact of rumors or misinformation on coronavirus disease (COVID-19) in social media [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/uf3zn
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www.medrxiv.org www.medrxiv.org
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Golding, N., Russell, T. W., Abbott, S., Hellewell, J., Pearson, C. A. B., Zandvoort, K. van, Jarvis, C. I., Gibbs, H., Liu, Y., Eggo, R. M., Edmunds, J. W., & Kucharski, A. J. (2020). Reconstructing the global dynamics of under-ascertained COVID-19 cases and infections. MedRxiv, 2020.07.07.20148460. https://doi.org/10.1101/2020.07.07.20148460
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www-ncbi-nlm-nih-gov.ezproxy.rice.edu www-ncbi-nlm-nih-gov.ezproxy.rice.edu
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LoD = LoB + 1.645(SD low concentration sample)
LoD is the lowest analyte concentration likely to be reliably distinguished from the LoB and at which detection is feasible. LoD is determined by utilising both the measured LoB and test replicates of a sample known to contain a low concentration of analyte.
LoB is the highest apparent analyte concentration expected to be found when replicates of a blank sample containing no analyte are tested.
LoB = meanblank + 1.645(SDblank)
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Zhong, H., Wang, Y., Shi, Z., Zhang, L., Ren, H., He, W., Zhang, Z., Zhu, A., Zhao, J., Xiao, F., Yang, F., Liang, T., Ye, F., Zhong, B., Ruan, S., Gan, M., Zhu, J., Li, F., Li, F., … Zhao, J. (2020). Characterization of Microbial Co-infections in the Respiratory Tract of hospitalized COVID-19 patients. MedRxiv, 2020.07.02.20143032. https://doi.org/10.1101/2020.07.02.20143032
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twitter.com twitter.com
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New Scientist on Twitter: “Thread on #covid19 trends in the US: Coronavirus infections have surged since the start of June from around 20,000 new cases a day to over 60,000. (1/4) https://t.co/wVFwHWczYR” / Twitter. (n.d.). Twitter. Retrieved July 19, 2020, from https://twitter.com/newscientist/status/1283387188391149571
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Song, S. (2020). China Experience in Controlling COVID-19. https://doi.org/10.31235/osf.io/gfnep
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osf.io osf.io
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Hossain, M. M., McKyer, E. L. J., & Ma, P. (2020). Applications of artificial intelligence technologies on mental health research during COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/w6c9b
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www.medrxiv.org www.medrxiv.org
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Davis, J. T., Chinazzi, M., Perra, N., Mu, K., Piontti, A. P. y, Ajelli, M., Dean, N. E., Gioannini, C., Litvinova, M., Merler, S., Rossi, L., Sun, K., Xiong, X., Halloran, M. E., Longini, I. M., Viboud, C., & Vespignani, A. (2020). Estimating the establishment of local transmission and the cryptic phase of the COVID-19 pandemic in the USA. MedRxiv, 2020.07.06.20140285. https://doi.org/10.1101/2020.07.06.20140285
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- Jun 2020
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Fleming, N. (2020). Coronavirus misinformation, and how scientists can help to fight it. Nature. https://doi.org/10.1038/d41586-020-01834-3
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www.thelancet.com www.thelancet.com
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The Lancet. (2020). Sustaining containment of COVID-19 in China. The Lancet, 395(10232), 1230. https://doi.org/10.1016/S0140-6736(20)30864-3
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twitter.com twitter.com
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Hironori Funabiki on Twitter
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Dewa, L. H., Lawrence‐Jones, A., Crandell, C., Jaques, J., Pickles, K., Lavelle, M., Pappa, S., & Aylin, P. (n.d.). Reflections, impact and recommendations of a co-produced qualitative study with young people who have experience of mental health difficulties. Health Expectations, n/a(n/a). https://doi.org/10.1111/hex.13088
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arxiv.org arxiv.org
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Cai, L., Chen, Z., Luo, C., Gui, J., Ni, J., Li, D., & Chen, H. (2020). Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. ArXiv:2005.07427 [Cs, Stat]. http://arxiv.org/abs/2005.07427
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Ortiz, E., García-Pérez, G., & Serrano, M. Á. (2020). Geometric detection of hierarchical backbones in real networks. ArXiv:2006.03207 [Physics]. http://arxiv.org/abs/2006.03207
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www.theatlantic.com www.theatlantic.com
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Meyer, A. C. M., Robinson. (2020, May 21). ‘How Could the CDC Make That Mistake?’ The Atlantic. https://www.theatlantic.com/health/archive/2020/05/cdc-and-states-are-misreporting-covid-19-test-data-pennsylvania-georgia-texas/611935/
Tags
- concern
- testing
- conflation
- USA
- outbreak detection
- reopening
- exposure
- viral
- COVID-19
- antibody
- infection rate
- confusion
- lang:en
- CDC
- bad science
- is:news
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theconversation.com theconversation.com
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Yasseri, T. (n.d.). Dominic Cummings: How the internet knows when you’ve updated your blog. The Conversation. Retrieved June 1, 2020, from http://theconversation.com/dominic-cummings-how-the-internet-knows-when-youve-updated-your-blog-139517
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- May 2020
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arxiv.org arxiv.org
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Aslak, U., & Alessandretti, L. (2020). Infostop: Scalable stop-location detection in multi-user mobility data. ArXiv:2003.14370 [Physics]. http://arxiv.org/abs/2003.14370
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thebulletin.org thebulletin.org
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Kim, H. (2020, March 20). South Korea learned its successful Covid-19 strategy from a previous coronavirus outbreak: MERS. Bulletin of the Atomic Scientists. https://thebulletin.org/2020/03/south-korea-learned-its-successful-covid-19-strategy-from-a-previous-coronavirus-outbreak-mers/
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psyarxiv.com psyarxiv.com
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Michalak, N. M., Sng, O., Wang, I., & Ackerman, J. (2020, May 14). Sounds of sickness: Can people identify infectious disease using sounds of coughs and sneezes?. https://doi.org/10.1098/rspb.2020.0944
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github.com github.com
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Riolo, M. A., & Newman, M. E. J. (2020). Consistency of community structure in complex networks. Physical Review E, 101(5), 052306. https://doi.org/10.1103/PhysRevE.101.052306
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Kaplan, E. H., & Forman, H. P. (2020). Logistics of Aggressive Community Screening for Coronavirus 2019. JAMA Health Forum, 1(5), e200565–e200565. https://doi.org/10.1001/jamahealthforum.2020.0565
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www.nejm.org www.nejm.org
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Chu, H. Y., Englund, J. A., Starita, L. M., Famulare, M., Brandstetter, E., Nickerson, D. A., Rieder, M. J., Adler, A., Lacombe, K., Kim, A. E., Graham, C., Logue, J., Wolf, C. R., Heimonen, J., McCulloch, D. J., Han, P. D., Sibley, T. R., Lee, J., Ilcisin, M., … Bedford, T. (2020). Early Detection of Covid-19 through a Citywide Pandemic Surveillance Platform. New England Journal of Medicine, NEJMc2008646. https://doi.org/10.1056/NEJMc2008646
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www.medrxiv.org www.medrxiv.org
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Shental, N., Levy, S., Skorniakov, S., Wuvshet, V., Shemer-Avni, Y., Porgador, A., & Hertz, T. (2020). Efficient high throughput SARS-CoV-2 testing to detect asymptomatic carriers. MedRxiv, 2020.04.14.20064618. https://doi.org/10.1101/2020.04.14.20064618
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www.medrxiv.org www.medrxiv.org
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Wurtzer, S., Marechal, V., Mouchel, J.-M., & Moulin, L. (2020). Time course quantitative detection of SARS-CoV-2 in Parisian wastewaters correlates with COVID-19 confirmed cases. MedRxiv, 2020.04.12.20062679. https://doi.org/10.1101/2020.04.12.20062679
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www.thelancet.com www.thelancet.com
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Lohse, S., Pfuhl, T., Berkó-Göttel, B., Rissland, J., Geißler, T., Gärtner, B., Becker, S. L., Schneitler, S., & Smola, S. (2020). Pooling of samples for testing for SARS-CoV-2 in asymptomatic people. The Lancet Infectious Diseases, S1473309920303625. https://doi.org/10.1016/S1473-3099(20)30362-5
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- Apr 2020
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www.medrxiv.org www.medrxiv.org
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Adams, E. R., Anand, R., Andersson, M. I., Auckland, K., Baillie, J. K., Barnes, E., Bell, J., Berry, T., Bibi, S., Carroll, M., Chinnakannan, S., Clutterbuck, E., Cornall, R. J., Crook, D. W., Silva, T. D., Dejnirattisai, W., Dingle, K. E., Dold, C., Eyre, D. W., … Sanchez, V. (2020). Evaluation of antibody testing for SARS-Cov-2 using ELISA and lateral flow immunoassays. MedRxiv, 2020.04.15.20066407. https://doi.org/10.1101/2020.04.15.20066407
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