- Last 7 days
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forums.theregister.com forums.theregister.com
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I managed to remove it myself this morning...apparently it used to get it's hooks in so deep it was very difficult to remove the daemon as it interconnected with ubuntu-desktop for....reasons.
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- Oct 2020
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One of the primary tasks of engineers is to minimize complexity. JSX changes such a fundamental part (syntax and semantics of the language) that the complexity bubbles up to everything it touches. Pretty much every pipeline tool I've had to work with has become far more complex than necessary because of JSX. It affects AST parsers, it affects linters, it affects code coverage, it affects build systems. That tons and tons of additional code that I now need to wade through and mentally parse and ignore whenever I need to debug or want to contribute to a library that adds JSX support.
Tags
- infectious problem
- unintended consequence
- high-cost changes
- engineering (general)
- semantics (of programming language)
- syntax
- the cost of changing something
- too complicated
- mental bandwidth
- fundamental
- implementation complexity
- mentally filter/ignore
- avoid complexity
- complexity
- for-reaching consequences
- primary task/job/responsibility
- can't keep entire system in your mind at once (software development) (scope too large)
- engineers
Annotators
URL
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www.thelancet.com www.thelancet.com
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Kavanagh, M. M. (2020). US elections and a foreign policy for pandemics. The Lancet Public Health, 5(10), e517–e518. https://doi.org/10.1016/S2468-2667(20)30211-5
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www.theguardian.com www.theguardian.com
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Non-Covid infectious disease cases down in England, data suggests. (2020, October 9). The Guardian. http://www.theguardian.com/science/2020/oct/09/non-covid-infectious-disease-cases-down-in-england-data-suggests
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13625/
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- Sep 2020
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www.scientificamerican.com www.scientificamerican.com
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Haseltine, W. A. (n.d.). Lessons from AIDS for the COVID-19 Pandemic. Scientific American. https://doi.org/10.1038/scientificamerican1020-35
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www.theatlantic.com www.theatlantic.com
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This dynamic is playing out during the pandemic among the many people who refuse to wear masks or practice social distancing.
people who are refusing not to wear a mask are not helping reduce transmission of coronavirus
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Chen, Q., & Porter, M. A. (2020). Epidemic Thresholds of Infectious Diseases on Tie-Decay Networks. ArXiv:2009.12932 [Physics]. http://arxiv.org/abs/2009.12932
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www.bbc.co.uk www.bbc.co.uk
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Triggle, Nick. ‘Is It Time We Learned to Live with the Virus?’ BBC News, 21 September 2020, sec. Health. https://www.bbc.com/news/health-54228649.
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journals.plos.org journals.plos.org
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Jagan, Mikael, Michelle S. deJonge, Olga Krylova, and David J. D. Earn. ‘Fast Estimation of Time-Varying Infectious Disease Transmission Rates’. PLOS Computational Biology 16, no. 9 (21 September 2020): e1008124. https://doi.org/10.1371/journal.pcbi.1008124.
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Doshi, P. (2020). Covid-19: Do many people have pre-existing immunity? BMJ, 370. https://doi.org/10.1136/bmj.m3563
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www.imperial.ac.uk www.imperial.ac.uk
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COVID-19 reports. (n.d.). Imperial College London. Retrieved September 17, 2020, from http://www.imperial.ac.uk/medicine/departments/school-public-health/infectious-disease-epidemiology/mrc-global-infectious-disease-analysis/covid-19/covid-19-reports/
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Giles, J. R., Erbach-Schoenberg, E. zu, Tatem, A. J., Gardner, L., Bjørnstad, O. N., Metcalf, C. J. E., & Wesolowski, A. (2020). The duration of travel impacts the spatial dynamics of infectious diseases. Proceedings of the National Academy of Sciences, 117(36), 22572–22579. https://doi.org/10.1073/pnas.1922663117
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en.wikipedia.org en.wikipedia.org
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Kermack–McKendrick theory. (2020). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Kermack%E2%80%93McKendrick_theory&oldid=951835485
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jamanetwork.com jamanetwork.com
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Luo, Z., Li, S., Li, N., Li, Y., Zhang, Y., Cao, Z., & Ma, Y. (2020). Assessment of Pediatric Outpatient Visits for Notifiable Infectious Diseases in a University Hospital in Beijing During COVID-19. JAMA Network Open, 3(8), e2019224–e2019224. https://doi.org/10.1001/jamanetworkopen.2020.19224
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- Aug 2020
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www.thelancet.com www.thelancet.com
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Lancet, T. (2020). Research and higher education in the time of COVID-19. The Lancet, 396(10251), 583. https://doi.org/10.1016/S0140-6736(20)31818-3
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osf.io osf.io
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Larsen, D., Dinero, R. E., Asiago-Reddy, E., Green, H., Lane, S., Shaw, A., Zeng, T., & Kmush, B. (2020). A review of infectious disease surveillance to inform public health action against the novel coronavirus SARS-CoV-2 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/uwdr6
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Waites, W., Cavaliere, M., Manheim, D., Panovska-Griffiths, J., & Danos, V. (2020). Scaling up epidemiological models with rule-based modelling. ArXiv:2006.12077 [q-Bio]. http://arxiv.org/abs/2006.12077
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osf.io osf.io
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Nepomuceno, M. (2020). Vulnerable groups at increased risk of COVID-19 in sub-Saharan Africa: The case of the HIV population [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/9gpw8
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www.thelancet.com www.thelancet.com
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Hogan, A. B., Jewell, B. L., Sherrard-Smith, E., Vesga, J. F., Watson, O. J., Whittaker, C., Hamlet, A., Smith, J. A., Winskill, P., Verity, R., Baguelin, M., Lees, J. A., Whittles, L. K., Ainslie, K. E. C., Bhatt, S., Boonyasiri, A., Brazeau, N. F., Cattarino, L., Cooper, L. V., … Hallett, T. B. (2020). Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries: A modelling study. The Lancet Global Health, 0(0). https://doi.org/10.1016/S2214-109X(20)30288-6
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www.flashforwardpod.com www.flashforwardpod.com
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Rose. (n.d.). The Very Big Sick. Flash Forward. Retrieved August 26, 2020, from https://www.flashforwardpod.com/2018/07/03/the-big-death/
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www.nber.org www.nber.org
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Berger, D. W., Herkenhoff, K. F., & Mongey, S. (2020). An SEIR Infectious Disease Model with Testing and Conditional Quarantine (Working Paper No. 26901; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26901
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www.nber.org www.nber.org
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Vu, Jonathan T, Benjamin K Kaplan, Shomesh Chaudhuri, Monique K Mansoura, and Andrew W Lo. ‘Financing Vaccines for Global Health Security’. Working Paper. Working Paper Series. National Bureau of Economic Research, May 2020. https://doi.org/10.3386/w27212.
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Bethune, Z. A., & Korinek, A. (2020). Covid-19 Infection Externalities: Trading Off Lives vs. Livelihoods (Working Paper No. 27009; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27009
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www.cambridge.org www.cambridge.org
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Salemi, C., Canola, M. T., & Eck, E. K. (2002). Hand Washing and Physicians: How to Get Them Together. Infection Control & Hospital Epidemiology, 23(1), 32–35. https://doi.org/10.1086/501965
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- Jul 2020
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Holme, P. (2020). Fast and principled simulations of the SIR model on temporal networks. ArXiv:2007.14386 [Physics, q-Bio]. http://arxiv.org/abs/2007.14386
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Vachuska, K. F. (2020). Considering Elite Network Patterns in Application to Infectious Disease Spread [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/2r9mu
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www.youtube.com www.youtube.com
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McConnell, J. (2020, June 11). COVID-19: The current situation and prospects for the UK and the world. Aga Khan Foundation. https://www.youtube.com/watch?v=6VK_2uCA76s
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www.youtube.com www.youtube.com
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UCL-Lancet Lecture 2020: Global Health Preparedness in the Face of Emerging Epidemics. (2020, July 13). https://www.youtube.com/watch?v=pqE48fmyRkw&feature=youtu.be
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Mann, P., Smith, V. A., Mitchell, J. B. O., & Dobson, S. (2020). Two-pathogen model with competition on clustered networks. ArXiv:2007.03287 [Physics, q-Bio]. http://arxiv.org/abs/2007.03287
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psyarxiv.com psyarxiv.com
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Golding, S. E. (2020). Coronavirus and other pathogens: Reflecting on the relationship between health psychology and infectious disease [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/8r6kf
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- Jun 2020
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www.newscientist.com www.newscientist.com
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Wilson, C. (n.d.). Could the coronavirus trigger post-viral fatigue syndromes? New Scientist. Retrieved June 24, 2020, from https://www.newscientist.com/article/mg24632783-400-could-the-coronavirus-trigger-post-viral-fatigue-syndromes/
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www.pharmaceutical-technology.com www.pharmaceutical-technology.com
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Nawrat, A. (2020, June 03). Covid-19 pandemic: Tackling infectious disease’s investment challenges. https://www.pharmaceutical-technology.com/features/covid-19-investment-infectious-disease/
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doi.org doi.org
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Willem, L., Hoang, T. V., Funk, S., Coletti, P., Beutels, P., & Hens, N. (2020). SOCRATES: An online tool leveraging a social contact data sharing initiative to assess mitigation strategies for COVID-19 [Preprint]. Epidemiology. https://doi.org/10.1101/2020.03.03.20030627
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pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov
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Bertoncello, C., Ferro, A., Fonzo, M., Zanovello, S., Napoletano, G., Russo, F., Baldo, V., & Cocchio, S. (2020). Socioeconomic Determinants in Vaccine Hesitancy and Vaccine Refusal in Italy. Vaccines, 8(2). https://doi.org/10.3390/vaccines8020276
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Sturniolo, S., Waites, W., Colbourn, T., Manheim, D., & Panovska-Griffiths, J. (2020). Testing, tracing and isolation in compartmental models. MedRxiv, 2020.05.14.20101808. https://doi.org/10.1101/2020.05.14.20101808
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arxiv.org arxiv.org
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Kempfert, K., Martinez, K., Siraj, A., Conrad, J., Fairchild, G., Ziemann, A., Parikh, N., Osthus, D., Generous, N., Del Valle, S., & Manore, C. (2020). Time Series Methods and Ensemble Models to Nowcast Dengue at the State Level in Brazil. ArXiv:2006.02483 [q-Bio, Stat]. http://arxiv.org/abs/2006.02483
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What history can tell us about infectious diseases. (2020, June 2). OUPblog. https://blog.oup.com/2020/06/what-history-can-tell-us-about-infectious-diseases/
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- May 2020
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www.cambridge.org www.cambridge.org
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Kaufman, K. R., Petkova, E., Bhui, K. S., & Schulze, T. G. (undefined/ed). A global needs assessment in times of a global crisis: World psychiatry response to the COVID-19 pandemic. BJPsych Open, 1–11. https://doi.org/10.1192/bjo.2020.25
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psyarxiv.com psyarxiv.com
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Zmigrod, L., Ebert, T., Götz, F. M., & Rentfrow, J. (2020, April 11). The Psychological and Socio-political Consequences of Infectious Diseases. https://doi.org/10.31234/osf.io/84qcm
Tags
- consequences
- psychology
- research
- lang:en
- infectious disease
- COVID-19
- socio-political
- BIS
- ideology
- politics
- USA
- infection
- study
- infection-avoidance
- cross-cultural
- is:preprint
- attitude
- public health
- risk perception
- behavior
- government
- behavioral immune system
- disposition
- authoritarianism
- social psychology
Annotators
URL
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www.nytimes.com www.nytimes.com
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Beech, H., Rubin, A. J., Kurmanaev, A., & Maclean, R. (2020, May 3). The Covid-19 Riddle: Why Does the Virus Wallop Some Places and Spare Others? The New York Times. https://www.nytimes.com/2020/05/03/world/asia/coronavirus-spread-where-why.html
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psyarxiv.com psyarxiv.com
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Martin, C. C. (2020, May 20). HEXACO Traits, Big Five Traits, and COVID-19. https://doi.org/10.31234/osf.io/c9gxe
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science.sciencemag.org science.sciencemag.org
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Cobey, S. (2020). Modeling infectious disease dynamics. Science, 368(6492), 713–714. https://doi.org/10.1126/science.abb5659
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www.visualcapitalist.com www.visualcapitalist.com
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LePan, N. (2020, March 14). Visualizing the History of Pandemics. Visual Capitalist. https://www.visualcapitalist.com/history-of-pandemics-deadliest/
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Yang, Z., Ji, L. J., Yang, Y., Wang, X., Zhang, M., Xie, Y., … Cai, H. (2020, April 17). COVID-19 Outbreak Enhances Making Meaning in Negative Experiences: Evidence from China. https://doi.org/10.31234/osf.io/9twhb
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- Apr 2020
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www.nejm.org www.nejm.org
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Tang, J. W., & Settles, G. S. (2008). Coughing and Aerosols. New England Journal of Medicine, 359(15), e19. https://doi.org/10.1056/NEJMicm072576
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journals.plos.org journals.plos.org
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Garira W (2020) The research and development process for multiscale models of infectious disease systems. PLoS Comput Biol 16(4): e1007734. https://doi.org/10.1371/journal.pcbi.1007734
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arxiv.org arxiv.org
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El Shoghri, A., et al. (2020 April 03). How mobility patterns drive disease spread: A case study using public transit passenger card travel data. 2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks". DOI:10.1109/WoWMoM.2019.8793018
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www.youtube.com www.youtube.com
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COMBINE Network Biology at UMD. (2020 April 09). Net-COVID Session1A: Network epidemiology tutorial by Laurent Herbert-Dufresne Youtube. https://www.youtube.com/watch?v=5NGFDnJKiKA
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Resnick, B. (2020 April 10). Why it's so hard to see into the future of Covid-19. Vox. https://www.vox.com/science-and-health/2020/4/10/21209961/coronavirus-models-covid-19-limitations-imhe
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www.medrxiv.org www.medrxiv.org
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Klepac, P., Kucharski, A. J., Conlan, A. J., Kissler, S., Tang, M., Fry, H., & Gog, J. R. (2020). Contacts in context: Large-scale setting-specific social mixing matrices from the BBC Pandemic project [Preprint]. Epidemiology. https://doi.org/10.1101/2020.02.16.20023754
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Wölfel, R., Corman, V.M., Guggemos, W. et al. Virological assessment of hospitalized patients with COVID-2019. Nature (2020). https://doi.org/10.1038/s41586-020-2196-x
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www.sciencedirect.com www.sciencedirect.com
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Webster, R. K., Brooks, S. K., Smith, L. E., Woodland, L., Wessely, S., & Rubin, G. J. (2020). How to improve adherence with quarantine: Rapid review of the evidence. Public Health. https://doi.org/10.1016/j.puhe.2020.03.007
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Abdulla, A., Wang, B., Qian, F., Kee, T., Blasiak, A., Ong, Y. H., Hooi, L., Parekh, F., Soriano, R., Olinger, G. G., Keppo, J., Hardesty, C. L., Chow, E. K., Ho, D., & Ding, X. (n.d.). Project IDentif.AI: Harnessing Artificial Intelligence to Rapidly Optimize Combination Therapy Development for Infectious Disease Intervention. Advanced Therapeutics, n/a(n/a), 2000034. https://doi.org/10.1002/adtp.202000034
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