Ogbunu, B. C. (2020, October 27). The Science That Spans #MeToo, Memes, and Covid-19. Wired. https://www.wired.com/story/the-science-that-spans-metoo-memes-and-covid-19/

Horton, Richard. ‘Offline: Science and Politics in the Era of COVID-19’. The Lancet 396, no. 10259 (24 October 2020): 1319. https://doi.org/10.1016/S0140-6736(20)32221-2.

Li, Y. (2020, October 18). Public health measures and R. Media Hopper Create. https://media.ed.ac.uk/media/1_1uhkv3uc

Li, You, Harry Campbell, Durga Kulkarni, Alice Harpur, Madhurima Nundy, Xin Wang, and Harish Nair. ‘The Temporal Association of Introducing and Lifting Non-Pharmaceutical Interventions with the Time-Varying Reproduction Number (R) of SARS-CoV-2: A Modelling Study across 131 Countries’. The Lancet Infectious Diseases 21, no. 2 (1 February 2021): 193–202. https://doi.org/10.1016/S1473-3099(20)30785-4.

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.

Bredow, R., & Hackenbroch, V. (2021, January 22). Interview with Virologist Christian Drosten “I Am Quite Apprehensive about What Might Otherwise Happen in Spring and Summer.” Der Spiegel, Hamburg, Germany. https://www.spiegel.de/international/germany/interview-with-virologist-christian-drosten-i-am-quite-apprehensive-about-what-might-otherwise-happen-in-spring-and-summer-a-f22c0495-5257-426e-bddc-c6082d6434d5

Estimating the impact of reopening schools on the reproduction number of SARS-CoV-2 in England, using weekly contact survey data. (2021, February 15). CMMID Repository. https://cmmid.github.io/topics/covid19/comix-schools.html

Parag. K. V., Donnelly. C. A., (2020) Using information theory to optimise epidemic models for real-time prediction and estimation. PLOS. Retrieved from https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007990

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.

This demonstrates how FieldArray re-renders (field subscription fires) even when changing unrelated field. Wat?

Bug repro for https://github.com/sveltejs/svelte/issues/2086

Fixed by: Bug 1:

• https://github.com/sveltejs/svelte/pull/3172
• https://github.com/sveltejs/svelte/pull/3172/commits/f4ca063c85e491b75d162f429ad243b6f443db13

Bug 2:

• https://github.com/sveltejs/svelte/pull/3209
• https://github.com/sveltejs/svelte/commit/2f08e34b41317619f9bc7bf6bc2418123fb06829

Fixed version here: https://svelte.dev/repl/a55ba18ceca44c898f2b011a0978de85?version=3.6.7

(although https://github.com/sveltejs/svelte/pull/3172/commits/f4ca063c85e491b75d162f429ad243b6f443db13 indicates the fix was included in v3.6.6 tag, so I wonder why it's not fixed here)

supersedes https://codesandbox.io/s/epic-stonebraker-9cxhu?file=/index.js:0-32

Good example of how helpful it is to remove everything irrelevant and create minimal reproducible example.

COVID-19 and the Politics of Reproductive Health: Global Perspectives. (2020, August 18). https://www.youtube.com/watch?v=Kex9O_cwMwo

Although, meta.valid works, meta.active, meta.dirty, meta.touched, meta.visited never change from false.

See also: https://github.com/final-form/react-final-form-arrays/issues/147

for: https://github.com/sveltejs/svelte/issues/4927

Tim spector on Twitter. (n.d.). Twitter. Retrieved September 25, 2020, from https://twitter.com/timspector/status/1308873677807792129

Report 13—Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries. (n.d.). Imperial College London. Retrieved September 18, 2020, from http://www.imperial.ac.uk/medicine/departments/school-public-health/infectious-disease-epidemiology/mrc-global-infectious-disease-analysis/covid-19/report-13-europe-npi-impact/

https://github.com/sveltejs/svelte/issues/5388

Fixed in: https://svelte.dev/repl/ba980bfbd031448b8f49500f5900f305?version=3.25.1

Peston, R. (2020, September 7). SAGE scientist warns coronavirus cases “increasing exponentially.” ITV News. https://www.itv.com/news/2020-09-07/exclusive-sage-scientist-tells-peston-coronavirus-cases-increasing-exponentially

Stephen Griffin on Twitter. (n.d.). Twitter. Retrieved September 2, 2020, from https://twitter.com/SGriffin_Lab/status/1300572439374630917

Kretzschmar, M. E., Rozhnova, G., Bootsma, M. C. J., Boven, M. van, Wijgert, J. H. H. M. van de, & Bonten, M. J. M. (2020). Impact of delays on effectiveness of contact tracing strategies for COVID-19: A modelling study. The Lancet Public Health, 5(8), e452–e459. https://doi.org/10.1016/S2468-2667(20)30157-2

Adam, D. (2020). A guide to R — the pandemic’s misunderstood metric. Nature. https://doi.org/10.1038/d41586-020-02009-w

Starnini, M., Aleta, A., Tizzoni, M., & Moreno, Y. (2020). Impact of the accuracy of case-based surveillance data on the estimation of time-varying reproduction numbers. MedRxiv, 2020.06.26.20140871. https://doi.org/10.1101/2020.06.26.20140871

Farboodi, M., Jarosch, G., & Shimer, R. (2020). Internal and External Effects of Social Distancing in a Pandemic (Working Paper No. 27059; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27059

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

Hong, H., Wang, N., & Yang, J. (2020). Implications of Stochastic Transmission Rates for Managing Pandemic Risks (Working Paper No. 27218; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27218

Aguas, R., Corder, R. M., King, J. G., Goncalves, G., Ferreira, M. U., & Gomes, M. G. M. (2020). Herd immunity thresholds for SARS-CoV-2 estimated from unfolding epidemics. MedRxiv, 2020.07.23.20160762. https://doi.org/10.1101/2020.07.23.20160762

Pindyck, R. S. (2020). COVID-19 and the Welfare Effects of Reducing Contagion (Working Paper No. 27121; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27121

Althouse, B. M., Wenger, E. A., Miller, J. C., Scarpino, S. V., Allard, A., Hébert-Dufresne, L., & Hu, H. (2020). Stochasticity and heterogeneity in the transmission dynamics of SARS-CoV-2. ArXiv:2005.13689 [Physics, q-Bio]. http://arxiv.org/abs/2005.13689

Matthias #WashYourHands Egger on Twitter: “The effective reproduction number Re is now above 1 in #Switzerland: 1.28 (95% 1.06-1.53). We urgently need an in-depth understanding of transmission dynamics, the effectiveness of contact tracing etc. And #MaskUp https://t.co/24E5o4jYiS” / Twitter. (n.d.). Twitter. Retrieved June 30, 2020, from https://twitter.com/eggersnsf/status/1276882802173247490

Adam Kucharski on Twitter: “I’m getting asked more about the ‘k’ parameter that describes variation in the reproduction number, R (i.e. describes superspreading). But what does this parameter actually mean? A short statistical thread... 1/” / Twitter. (n.d.). Twitter. Retrieved June 4, 2020, from https://twitter.com/AdamJKucharski/status/1267737631481364480

Davis, N. (2020, May 4). Rival Sage group says Covid-19 policy must be clarified. The Guardian. https://www.theguardian.com/world/2020/may/04/rival-sage-group-covid-19-policy-clarified-david-king

Arenas, A., Cota, W., Gomez-Gardenes, J., Gomez, S., Granell, C., Matamalas, J. T., Soriano-Panos, D., & Steinegger, B. (2020). Derivation of the effective reproduction number R for COVID-19 in relation to mobility restrictions and confinement [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.06.20054320

Puleo, M., & Staff Writer (2020 March 18). New study says “high temperature and high relative humidity significantly reduce” spread of COVID-19. https://www.accuweather.com/en/health-wellness/new-study-says-high-temperature-and-high-relative-humidity-significantly-reduce-spread-of-covid-19/703418

Liu, Y., Eggo, R. M., & Kucharski, A. J. (2020). Secondary attack rate and superspreading events for SARS-CoV-2. The Lancet, 395(10227), e47. https://doi.org/10.1016/S0140-6736(20)30462-1

Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., Le Strat, Y., Lessler, J., Levy-Bruhl, D., Fontanet, A., Opatowski, L., Boelle, P.-Y., & Cauchemez, S. (2020). Estimating the burden of SARS-CoV-2 in France. Science, eabc3517. https://doi.org/10.1126/science.abc3517

Jing, Q.-L., Liu, M.-J., Yuan, J., Zhang, Z.-B., Zhang, A.-R., Dean, N. E., Luo, L., Ma, M.-M., Longini, I., Kenah, E., Lu, Y., Ma, Y., Jalali, N., Fang, L.-Q., Yang, Z.-C., & Yang, Y. (2020). Household Secondary Attack Rate of COVID-19 and Associated Determinants [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.11.20056010

Inglesby, T. V. (2020). Public Health Measures and the Reproduction Number of SARS-CoV-2. JAMA. https://doi.org/10.1001/jama.2020.7878

Seth Flaxman, Swapnil Mishra, Axel Gandy et al. Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries. Imperial College London (2020), doi:https://doi.org/10.25561/77731

Pan, A., Liu, L., Wang, C., Guo, H., Hao, X., Wang, Q., Huang, J., He, N., Yu, H., Lin, X., Wei, S., & Wu, T. (2020). Association of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan, China. JAMA. https://doi.org/10.1001/jama.2020.6130

It is interesting. The level of cooperation, and the number of people involved vastly change the calculation of available energy, so at the very least these two ideas are intimately related.

In the original German, 'prevails' is rendered "herrscht." Herrscht shares a common root with the ordinary German word Herr (Mister, or, more evocatively, Master). 'Lordship' (as, in the chapter of Hegel's Phenomenology of Spirit, on 'Lordship and Bondage' is rendered Herrschaft.)

My own reading of Capital tends to center upon the question of domination in capitalist societies, and throughout chapter 1 (in particular, in The Fetishism of Commodities and the Secret Thereof) Marx is especially attuned to the distinguishing how the forms of domination that are prevalent in capitalist societies are distinct from the relations of "personal dependence" that characterize pre-capitalist modes of production.

It seems prudent, therefore, to take note of the way that the seemingly innocuous notion of 'prevalence' is, for Marx, in his original formulation, already evocative of the language of mastery, domination, perhaps even something like 'hegemony'.

Furthermore, the capitalist mode of production prevails--it predominates. Yet, as Louis Althusser observes in his discussion of the concept of the 'mode of production' in On the Reproduction of Capitalism, every concrete social formation can be classified according to the mode of production that is dominant (that prevails--herrscht). In order to dominate, something must implicitly be dominated, or subordinate. "In every social formation," Althusser writes, "there exists more than one mode of production: at least two and often many more." Althusser cites Lenin, who in his analysis of the late 19th c. Russian social formation, observes that four modes of production can be distinguished (Louis Althusser, On the Reproduction of Capitalism, Verso 2014, p. 19.)

In our analysis of social formations, the concrete specificity of each can be articulated by carefully examining the multiplicity of modes of production that coincide within it, and examine the way in which capitalism tends to dominate a multiplicity of subordinate modes of production that, on the one hand, survive from past modes of production but which may also, on the other, be emerging in the present (i.e. communism). Thus even if capitalism tends towards the formation of a contiguous world-system dominated by its particular imperatives, this does not mean that this process is homogenous or unfolds in the same way in each instance.

For some commentators, capitalism is defined by the prevalence of wage labor and the specific dynamics that obtain therefrom. Yet this has often led to confusion over, whether, in analyzing the North American social formation prior to 1865, in which slavery coexists with wage-labor, the mode of production based on slave-labor is pre-capitalist. Yet as we find here in ch. 1, what determines the commodity as a commodity is not that it is the product of wage labor, rather that it is produced for exchange. As Marx writes on p. 131, "He who satisfies his own need with the product of his own labor admittedly creates use-values, but not commodities. Insofar as the slave-system in North America produced commodities (cotton, tobacco, etc.) for exchange on the world market, the fact that these commodities were produced under direct conditions of domination does not have any bearing on whether or not we identify this system of production as 'capitalist'. Wage-labor is therefore not likely the determinative factor; the determinative factor is the production of commodities for exchange. It is only insofar as commodities confront one another as exchange-values that the various modes of useful labor appear as expressions of a homogenous common substance, labor in the abstract

It is in this sense that we can observe one of the ways that the capitalist mode of production prevails over other modes of production, as it subordinates these modes of production to production for exchange, and thus the law of value, regardless of whether wage-labor represents the dominant form of this relation. Moreover, it provides a clue to how we can examine, for example, the persistence of unwaged work within the family, which has important consequences for Social Reproduction Theory.

Nonetheless, we can say that insofar as commodities confront each other on the market in a scene of exchange that they implicitly contain some 'third thing' which enables us to compare them as bearers of a magnitude of value. This 'third thing', as Marx's demonstration shows, is 'socially necessary labour time', which anticipates the way that wage-labor will become a dominant feature of capitalist society.

We might broadly see the fantasy of real-time surveillance of crime in neighborhoods as emergingfrom “smart cities” rhetoric, practices with mobile media, and the perceived availability of data. [...] It would perpetuate systemic inequality that is already exacerbated through the media and the housing market.