- Aug 2022
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www.cbc.ca www.cbc.ca
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Hawthorn, A. (2021, September 26). Like polio, the long-term impact of COVID will be measured in disability | CBC News. CBC. https://www.cbc.ca/news/canada/newfoundland-labrador/apocalypse-then-disability-1.6187990
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twitter.com twitter.com
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ReconfigBehSci. (2021, December 15). RT @CaulfieldTim: Check out the #OpenWHO course “#Infodemic Management 101” https://openwho.org/courses/infodemic-management-101 via @WHO @TDPurnat cc @ScienceUpFirst @… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1471132916445061130
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- Apr 2022
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twitter.com twitter.com
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Mahan Ghafari | ماهان غفاری on Twitter. (n.d.). Twitter. Retrieved April 29, 2022, from https://twitter.com/Mahan_Ghafari/status/1446196548904366092
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twitter.com twitter.com
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ReconfigBehSci. (2021, February 17). The global infodemic has driven trust in all news sources to record lows with social media (35%) and owned media (41% the least trusted; traditional media (53%) saw largest drop in trust at 8 points globally. Https://t.co/C86chd3bb4 [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1362022502743105541
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twitter.com twitter.com
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NetScience on Twitter. (n.d.). Twitter. Retrieved 15 February 2021, from https://twitter.com/net_science/status/1360990028168503297
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twitter.com twitter.com
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ReconfigBehSci. (2022, January 26). RT @chrischirp: One consequence of the Omicron epidemic moving from.older people into children is dropping hospital admissions. Fewer adm… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1486618430182731776
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- Jan 2022
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘this might be my favourite one so far...’ / Twitter. (n.d.). Retrieved 12 January 2022, from https://twitter.com/SciBeh/status/1481194899169062917
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- Dec 2021
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Covid: UK reports highest daily cases since the pandemic began. (2021, December 15). BBC News. https://www.bbc.com/news/uk-59673150
Tags
- COVID-19
- ventilation
- is:news
- statistics
- restrictions
- education
- mental health
- variant
- guidance
- UK
- modeling
- Christmas
- lang:en
- Omicron
- mask mandate
- mask wearing
- legislation
- booster
- vaccine
- hospitalization
- data
- socialising
- covid pass
- government
- delta
- epidemic
- testing
- NHS
- policy
- daily cases
Annotators
URL
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- Nov 2021
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www.medrxiv.org www.medrxiv.org
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Gozzi, N., Chinazzi, M., Davis, J. T., Mu, K., Piontti, A. P. y, Ajelli, M., Perra, N., & Vespignani, A. (2021). Anatomy of the first six months of COVID-19 Vaccination Campaign in Italy (p. 2021.11.24.21266820). https://doi.org/10.1101/2021.11.24.21266820
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- Oct 2021
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www.thelancet.com www.thelancet.com
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Sonabend, R., Whittles, L. K., Imai, N., Perez-Guzman, P. N., Knock, E. S., Rawson, T., Gaythorpe, K. A. M., Djaafara, B. A., Hinsley, W., FitzJohn, R. G., Lees, J. A., Kanapram, D. T., Volz, E. M., Ghani, A. C., Ferguson, N. M., Baguelin, M., & Cori, A. (2021). Non-pharmaceutical interventions, vaccination, and the SARS-CoV-2 delta variant in England: A mathematical modelling study. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(21)02276-5
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www.theguardian.com www.theguardian.com
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Sridhar, D. (2021, October 22). Britain must control Covid now – or face a winter lockdown. The Guardian. https://www.theguardian.com/commentisfree/2021/oct/22/britain-control-covid-winter-lockdown-plan-b-vaccine-certification-masks
Tags
- infection rate
- Britain
- COVID-19
- infection
- Europe
- is:opinion
- control
- winter
- UK
- Germany
- lang:en
- plan B
- vaccine certification
- surge
- government
- epidemic
- lockdown
- mask
Annotators
URL
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epjdatascience.springeropen.com epjdatascience.springeropen.com
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Schlosser, F., & Brockmann, D. (2021). Finding disease outbreak locations from human mobility data. EPJ Data Science, 10(1), 1–17. https://doi.org/10.1140/epjds/s13688-021-00306-6
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inews.co.uk inews.co.uk
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thomas-saunders. (2021, October 7). Covid cases in schools fuel two-tier pandemic with children and their parents more exposed. Inews.Co.Uk. https://inews.co.uk/news/education/covid-cases-schools-two-tier-pandemic-children-1236187
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- Sep 2021
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Ciccione, L., Sablé-Meyer, M., & Dehaene, S. (2021). Analyzing the misperception of exponential growth in graphs. PsyArXiv. https://doi.org/10.31234/osf.io/dah3x
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www.cfr.org www.cfr.org
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Disinformation and Disease: Social Media and the Ebola Epidemic in the Democratic Republic of the Congo. (n.d.). Council on Foreign Relations. Retrieved September 28, 2021, from https://www.cfr.org/blog/disinformation-and-disease-social-media-and-ebola-epidemic-democratic-republic-congo
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twitter.com twitter.com
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ElizabethB 🏡 on Twitter. (n.d.). Twitter. Retrieved 13 September 2021, from https://twitter.com/laughinggull6/status/1436329945773531137
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epjdatascience.springeropen.com epjdatascience.springeropen.com
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Mattei, M., Caldarelli, G., Squartini, T., & Saracco, F. (2021). Italian Twitter semantic network during the Covid-19 epidemic. EPJ Data Science, 10(1), 1–27. https://doi.org/10.1140/epjds/s13688-021-00301-x
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blog.petrieflom.law.harvard.edu blog.petrieflom.law.harvard.edu
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Bard, Jennifer S. ‘6 Actions the Federal Government Should Take in Response to the Delta Variant’. Bill of Health, 27 July 2021. http://blog.petrieflom.law.harvard.edu/2021/07/27/delta-covid-variant-government-response/.
Tags
- public health
- CDC
- COVID-19
- coronavirus pandemic
- is:news
- delta variant
- USA
- threat warning system
- federal legislation
- lang:en
- FDA
- mask mandate
- Congress
- infectious disease
- non-pharmaceutical interventions
- federal government
- government
- Covid-19 pandemic
- epidemic
- pandemic
- vaccine only approach
- federalism
- coronavirus
- zero-infection policy
- covid-19 vaccine
Annotators
URL
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- Aug 2021
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www.frontiersin.org www.frontiersin.org
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Wang, C.-Y., Zhang, Y.-Y., & Chen, S.-C. (2021). The Empirical Study of College Students’ E-Learning Effectiveness and Its Antecedents Toward the COVID-19 Epidemic Environment. Frontiers in Psychology, 0. https://doi.org/10.3389/fpsyg.2021.573590
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twitter.com twitter.com
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Marc Lipsitch. (2021, August 5). @nataliexdean @CT_Bergstrom N serology at end of follow up could solve problem of bias from unobserved infections https://t.co/Dwwxh77zP2 [Tweet]. @mlipsitch. https://twitter.com/mlipsitch/status/1423107107558084608
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- Jul 2021
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twitter.com twitter.com
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Adam Kucharski on Twitter. (n.d.). Twitter. Retrieved 29 July 2021, from https://twitter.com/AdamJKucharski/status/1397118932356669442
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘RT @AdamJKucharski: Worth reading thread below – and here’s current epidemic curve for comparison: Https://t.co/N6LCEssp1Z https://t.co/yDC…’ / Twitter. (n.d.). Retrieved 29 July 2021, from https://twitter.com/SciBeh/status/1409530195099328514
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link.aps.org link.aps.org
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Wang, B., Gou, M., Guo, Y., Tanaka, G., & Han, Y. (2020). Network structure-based interventions on spatial spread of epidemics in metapopulation networks. Physical Review E, 102(6), 062306. https://doi.org/10.1103/PhysRevE.102.062306
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- Jun 2021
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www.nature.com www.nature.com
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Naveca, Felipe Gomes, Valdinete Nascimento, Victor Costa de Souza, André de Lima Corado, Fernanda Nascimento, George Silva, Ágatha Costa, et al. “COVID-19 in Amazonas, Brazil, Was Driven by the Persistence of Endemic Lineages and P.1 Emergence.” Nature Medicine, May 25, 2021, 1–9. https://doi.org/10.1038/s41591-021-01378-7.
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twitter.com twitter.com
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ReconfigBehSci. (2021, June 8). RT @TWenseleers: Across whole of England, 76% [74-78%] of all newly diagnosed infections now B.1.617.2. We see familiar pattern of combinat… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1402633076396552193
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The impact of this exclusion itself is impossible to measure, but increasing meritocratic inequality has coincided with the opioid epidemic, a sharp increase in “deaths of despair,” and an unprecedented fall in life expectancy concentrated in poor and middle-class communities.
Are these all actually related to meritocratic inequality? What other drivers might there be?
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www.medrxiv.org www.medrxiv.org
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Michaelsen, Thomas Y., Marc Bennedbæk, Lasse E. Christiansen, Mia S. F. Jørgensen, Camilla H. Møller, Emil A. Sørensen, Simon Knutsson, et al. “Introduction and Transmission of SARS-CoV-2 B.1.1.7 in Denmark.” MedRxiv, June 7, 2021, 2021.06.04.21258333. https://doi.org/10.1101/2021.06.04.21258333.
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- May 2021
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arxiv.org arxiv.org
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Mizutaka, S., Mori, K., & Hasegawa, T. (2021). Synergistic epidemic spreading in correlated networks. ArXiv:2105.08992 [Physics, q-Bio]. http://arxiv.org/abs/2105.08992
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science.sciencemag.org science.sciencemag.org
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Pavelka, M., Van-Zandvoort, K., Abbott, S., Sherratt, K., Majdan, M., Group†, C. C.-19 working, Analýz†, I. Z., Jarčuška, P., Krajčí, M., Flasche, S., & Funk, S. (2021). The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia. Science, 372(6542), 635–641. https://doi.org/10.1126/science.abf9648
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www.thelancet.com www.thelancet.com
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Zarocostas, J. (2020). How to fight an infodemic. The Lancet, 395(10225), 676. https://doi.org/10.1016/S0140-6736(20)30461-X
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blog.frontiersin.org blog.frontiersin.org
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Early government intervention is key to reducing the spread of COVID-19. (2020, May 6). Science & Research News | Frontiers. https://blog.frontiersin.org/2020/05/06/early-government-intervention-is-key-to-reducing-the-spread-of-covid-19/
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www.nature.com www.nature.com
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Gallotti, R., Valle, F., Castaldo, N., Sacco, P., & De Domenico, M. (2020). Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics. Nature Human Behaviour, 4(12), 1285–1293. https://doi.org/10.1038/s41562-020-00994-6
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- Apr 2021
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psyarxiv.com psyarxiv.com
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Vartanova, I., Eriksson, K., Kirgil, Z. M., & Strimling, P. (2021, April 26). The advent of the COVID-19 epidemic did not affect Americans’ endorsement of moral foundations. https://doi.org/10.31234/osf.io/957zk
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academic.oup.com academic.oup.com
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Porter, D., & Porter, R. (1988). The politics of prevention: Anti-vaccinationism and public health in nineteenth-century England. Medical History, 32(3), 231–252.
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- Mar 2021
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jamanetwork.com jamanetwork.com
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Wang, C. J., Ng, C. Y., & Brook, R. H. (2020). Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing. JAMA, 323(14), 1341. https://doi.org/10.1001/jama.2020.3151
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Perra, N. (2021). Non-pharmaceutical interventions during the COVID-19 pandemic: A review. Physics Reports. https://doi.org/10.1016/j.physrep.2021.02.001
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www.nature.com www.nature.com
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Pullano, G., Di Domenico, L., Sabbatini, C. E., Valdano, E., Turbelin, C., Debin, M., Guerrisi, C., Kengne-Kuetche, C., Souty, C., Hanslik, T., Blanchon, T., Boëlle, P.-Y., Figoni, J., Vaux, S., Campèse, C., Bernard-Stoecklin, S., & Colizza, V. (2021). Underdetection of cases of COVID-19 in France threatens epidemic control. Nature, 590(7844), 134–139. https://doi.org/10.1038/s41586-020-03095-6
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Lee, Elizabeth C., Nikolas I. Wada, M. Kate Grabowski, Emily S. Gurley, and Justin Lessler. ‘The Engines of SARS-CoV-2 Spread’. Science 370, no. 6515 (23 October 2020): 406–7. https://doi.org/10.1126/science.abd8755.
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Yeung, Peter. ‘The Lancet Editor: UK “Steadfastly Refused to Follow the Science”’. Accessed 25 February 2021. https://www.aljazeera.com/news/2021/1/11/uk-covid-crisis-qa-with-the-lancets-richard-horton.
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the Guardian. ‘How Modelling Covid Has Changed the Way We Think about Epidemics | Adam Kucharrski’, 4 January 2021. http://www.theguardian.com/commentisfree/2021/jan/04/covid-model-epidemic-collaboration-experiment.
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Hota, Ashish R., Tanya Sneh, and Kavish Gupta. ‘Impacts of Game-Theoretic Activation on Epidemic Spread over Dynamical Networks’. ArXiv:2011.00445 [Physics], 1 November 2020. http://arxiv.org/abs/2011.00445.
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Holme, P. (2021). Fast and principled simulations of the SIR model on temporal networks. PLOS ONE, 16(2), e0246961. https://doi.org/10.1371/journal.pone.0246961
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arxiv.org arxiv.org
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Barrat, A., de Arruda, G. F., Iacopini, I., & Moreno, Y. (2021). Social contagion on higher-order structures. ArXiv:2103.03709 [Physics]. http://arxiv.org/abs/2103.03709
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- Feb 2021
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link.aps.org link.aps.org
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Ye, Y., Zhang, Q., Ruan, Z., Cao, Z., Xuan, Q., & Zeng, D. D. (2020). Effect of heterogeneous risk perception on information diffusion, behavior change, and disease transmission. Physical Review E, 102(4), 042314. https://doi.org/10.1103/PhysRevE.102.042314
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www.youtube.com www.youtube.com
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Center for Infectious Disease Dynamics—YouTube. (n.d.). Retrieved 21 February 2021, from https://www.youtube.com/channel/UC1dZp4v6sF2jKjutJguk7ng/videos?view=0&sort=da&flow=grid&view_as=subscriber
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europepmc.org europepmc.org
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H, Yu, Yang J, Marziano V, Deng X, Guzzetta G, Zhang J, Trentini F, et al. “Can a COVID-19 Vaccination Program Guarantee the Return to a Pre-Pandemic Lifestyle?,” February 9, 2021. https://doi.org/10.21203/rs.3.rs-200069/v1.
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www.sciencedirect.com www.sciencedirect.com
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Eichengreen, B., Aksoy, C. G., & Saka, O. (2021). Revenge of the experts: Will COVID-19 renew or diminish public trust in science? Journal of Public Economics, 193, 104343. https://doi.org/10.1016/j.jpubeco.2020.104343
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twitter.com twitter.com
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ReconfigBehSci. (2021, February 10). Do epidemics lower trust in scientists? Https://t.co/tHrrp2k4lb [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1359426197923495937
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journals.plos.org journals.plos.org
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Nande A, Adlam B, Sheen J, Levy MZ, Hill AL (2021) Dynamics of COVID-19 under social distancing measures are driven by transmission network structure. PLoS Comput Biol 17(2): e1008684. https://doi.org/10.1371/journal.pcbi.1008684
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- Dec 2020
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link.aps.org link.aps.org
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Mancastroppa. M., Burioni. R., Colizza. V., Vezzani. A., (2020). Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks. APS Physics. Retrieved from: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.102.020301
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- Oct 2020
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www.thelancet.com www.thelancet.com
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Robert, Alexis. “Lessons from New Zealand’s COVID-19 Outbreak Response.” The Lancet Public Health 0, no. 0 (October 13, 2020). https://doi.org/10.1016/S2468-2667(20)30237-1.
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www.thelancet.com www.thelancet.com
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Bauch, Chris T. “Estimating the COVID-19 R Number: A Bargain with the Devil?” The Lancet Infectious Diseases 0, no. 0 (October 22, 2020). https://doi.org/10.1016/S1473-3099(20)30840-9.
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www.washingtonpost.com www.washingtonpost.com
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Actavis Pharma was acquired by Teva Pharmaceutical Industries in 2016, and a spokeswoman there said the company “cannot speak to any systems in place beforehand.”
They bought out the company! Of course they can speak to systems in place beforehand! They're just choosing not to. The reporting here should make this clearer. Otherwise it should indicate exactly why they can't.
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www.pnas.org www.pnas.org
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Karatayev, Vadim A., Madhur Anand, and Chris T. Bauch. ‘Local Lockdowns Outperform Global Lockdown on the Far Side of the COVID-19 Epidemic Curve’. Proceedings of the National Academy of Sciences 117, no. 39 (29 September 2020): 24575–80. https://doi.org/10.1073/pnas.2014385117.
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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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- Aug 2020
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a new strain of influenza virus against which no previous immunity exists and that demonstrates human-to-human transmission could result in a pandemic with millions of fatalities2
Tags
Annotators
URL
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www.nber.org www.nber.org
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Eichenbaum, M. S., Rebelo, S., & Trabandt, M. (2020). The Macroeconomics of Epidemics (Working Paper No. 26882; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26882
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www.nber.org www.nber.org
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Chaudhuri, S., Lo, A. W., Xiao, D., & Xu, Q. (2020). Bayesian Adaptive Clinical Trials for Anti‐Infective Therapeutics during Epidemic Outbreaks (Working Paper No. 27175; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27175
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Goldstein, J. R., & Lee, R. D. (2020). Demographic Perspectives on Mortality of Covid-19 and Other Epidemics (Working Paper No. 27043; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27043
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www.nber.org www.nber.org
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Aum, S., Lee, S. Y. (Tim), & Shin, Y. (2020). Inequality of Fear and Self-Quarantine: Is There a Trade-off between GDP and Public Health? (Working Paper No. 27100; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27100
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www.nber.org www.nber.org
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Barnett, M., Buchak, G., & Yannelis, C. (2020). Epidemic Responses Under Uncertainty (Working Paper No. 27289; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27289
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Eichenbaum, M. S., Rebelo, S., & Trabandt, M. (2020). Epidemics in the Neoclassical and New Keynesian Models (Working Paper No. 27430; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27430
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Krueger, D., Uhlig, H., & Xie, T. (2020). Macroeconomic Dynamics and Reallocation in an Epidemic (Working Paper No. 27047; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27047
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www.nber.org www.nber.org
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Eichenbaum, M. S., Rebelo, S., & Trabandt, M. (2020). The Macroeconomics of Testing and Quarantining (Working Paper No. 27104; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27104
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www.nber.org www.nber.org
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Chari, Varadarajan V, Rishabh Kirpalani, and Christopher Phelan. ‘The Hammer and the Scalpel: On the Economics of Indiscriminate versus Targeted Isolation Policies during Pandemics’. Working Paper. Working Paper Series. National Bureau of Economic Research, May 2020. https://doi.org/10.3386/w27232.
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www.nber.org www.nber.org
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Baker, S. R., Farrokhnia, R. A., Meyer, S., Pagel, M., & Yannelis, C. (2020). How Does Household Spending Respond to an Epidemic? Consumption During the 2020 COVID-19 Pandemic (Working Paper No. 26949; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26949
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Hassan, T. A., Hollander, S., van Lent, L., & Tahoun, A. (2020). Firm-level Exposure to Epidemic Diseases: Covid-19, SARS, and H1N1 (Working Paper No. 26971; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26971
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covid-19.iza.org covid-19.iza.org
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Six-Country Survey on COVID-19 (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13230/
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- Jul 2020
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www.nber.org www.nber.org
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psyarxiv.com psyarxiv.com
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Grasso, D., Briggs-Gowan, M. J., Carter, A., Goldstein, B., & Ford, J. D. (2020). A Person-Centered Approach to Profiling COVID-Related Experiences in the United States: Preliminary Findings from the Epidemic-Pandemic Impacts Inventory (EPII) [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/v36hj
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Gambin, M., Sekowski, M., Woźniak-Prus, M., Wnuk, A., Oleksy, T., Cudo, A., Hansen, K., Huflejt-Łukasik, M., Kubicka, K., Lys, A. E., Gorgol, J., Holas, P., Kmita, G., Łojek, E., & Maison, D. (2020). Generalized anxiety and depressive symptoms in various age groups during the COVID-19 lockdown. Specific predictors and differences in symptoms severity [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/42m87
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stanford.app.box.com stanford.app.box.com
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20200611_China_Report.pdf | Con la tecnología de Box. (n.d.). Retrieved June 18, 2020, from https://stanford.app.box.com/v/sio-twitter-prc-june-2020
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drive.google.com drive.google.com
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Rush inserted a note in Philadelphia’s American Daily Advertiser in September telling Black people they had immunity to yellow fever, a conclusion he had reached based on his belief i n their animal-like physical s uperiority. Quite a few Black nurses s uffered hor-ribly before Rush realized his gross error. I n all, 5,000 people per-ished before the epidemic subsided in November and federal officials returned to the city.
Interesting to see notes about small outbreaks like this while seeing similar racist ideas and policies hundreds of years later during the COVID-19 outbreaks.
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psyarxiv.com psyarxiv.com
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Borsboom, D., Blanken, T., Dablander, F., Tanis, C., van Harreveld, F., & van Mieghem, P. (2020). BECON methodology [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/53ey9
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COVID-19: 7% des vaudois·es infecté·e·s. (n.d.). Unisanté. Retrieved June 10, 2020, from https://www.unisante.ch/fr/unisante/actualites/covid-19-7-vaudoises-infectees
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Wallis, P., & Nerlich, B. (2005). Disease metaphors in new epidemics: The UK media framing of the 2003 SARS epidemic. Social Science & Medicine, 60(11), 2629–2639. https://doi.org/10.1016/j.socscimed.2004.11.031
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arxiv.org arxiv.org
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de Arruda, G. F., Méndez-Bermúdez, J. A., Rodrigues, F. A., & Moreno, Y. (2020). Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks. ArXiv:2005.08074 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2005.08074
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Colbourn, T. (2020). Unlocking UK COVID-19 policy. The Lancet Public Health, 0(0). https://doi.org/10.1016/S2468-2667(20)30135-3
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- May 2020
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Pichler, Anton, Marco Pangallo, R. Maria del Rio-Chanona, François Lafond, and J. Doyne Farmer. “Production Networks and Epidemic Spreading: How to Restart the UK Economy?” ArXiv:2005.10585 [Physics, q-Fin], May 21, 2020. http://arxiv.org/abs/2005.10585.
Tags
- input-output constraints
- COVID-19
- supply
- social distincing
- production
- reopening industry
- United Kingdom
- unemployment
- epidemiology
- industry
- work from home
- lang:en
- demand
- consumption
- epidemic spreading
- production network
- economic growth
- economics
- is:article
- transmission rate
- GDP
- inventory dynamics
Annotators
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Masuda, N., & Holme, P. (2020). Small inter-event times govern epidemic spreading on networks. Physical Review Research, 2(2), 023163. https://doi.org/10.1103/PhysRevResearch.2.023163
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Rader, B., Scarpino, S., Nande, A., Hill, A., Reiner, R., Pigott, D., Gutierrez, B., Shrestha, M., Brownstein, J., Castro, M., Tian, H., Pybus, O., & Kraemer, M. U. G. (2020). Crowding and the epidemic intensity of COVID-19 transmission [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.15.20064980
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- Jul 2019
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www.washingtonpost.com www.washingtonpost.com
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That same year, the DEA brought a case against Cardinal Health, accusing the nation’s second-largest drug distributor of shipping millions of doses of painkillers to online and retail pharmacies without notifying the DEA of signs that the drugs were being diverted to the black market.
If the DEA has such a detailed database, how were they not directly aware themselves??
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Cardinal Health said that it has learned from its experience, increasing training and doing a better job to “spot, stop and report suspicious orders,” company spokeswoman Brandi Martin wrote.
Because companies are incentivized to sell however, it will require governmental oversight and regulation to fix this problem.
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On Monday evening, U.S. District Judge Dan Polster removed the protective order for part of the ARCOS database.
I'd like to see an overlay of this chart below with the number of deaths by city.
This could also have been used as a heat map based on population per use numbers to immediately pinpoint communities that were abusing much earlier based on countrywide averages. Data could have been a savior here.
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The database reveals what each company knew about the number of pills it was shipping and dispensing and precisely when they were aware of those volumes, year by year, town by town. In case after case, the companies allowed the drugs to reach the streets of communities large and small, despite persistent red flags that those pills were being sold in apparent violation of federal law and diverted to the black market, according to the lawsuits.
Surely a master database could and should have been used to identify bad actors from the bottom up as they were abusing the system and making things worse. Cross correlating against cities with high rates of abuse and drug deaths would have allowed the system to continue leaking for as long as it has (and likely continues to do.)
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