- Last 7 days
-
-
What is vaccine hesitancy and why do so many people have it? (n.d.). Vogue India. Retrieved 13 January 2021, from https://www.vogue.in/wellness/content/what-is-vaccine-hesitancy-and-why-do-so-many-people-have-it
-
- Dec 2020
-
www.economist.com www.economist.com
-
Katy Milkman on how to nudge people to accept a covid-19 vaccine. (2020, November 30). The Economist. https://www.economist.com/by-invitation/2020/11/30/katy-milkman-on-how-to-nudge-people-to-accept-a-covid-19-vaccine
Tags
- opinion
- immunised
- herd immunity
- action
- encouragement
- acceptance
- behavior
- COVID-19
- population
- behavioral science
- vaccine
- economy
- lang:en
- is:news
Annotators
URL
-
-
www.theguardian.com www.theguardian.com
-
Grover, N. (2020, December 7). WHO looks at giving Covid-19 to healthy people to speed up vaccine trials. The Guardian. https://www.theguardian.com/world/2020/dec/07/who-looks-at-giving-covid-to-healthy-people-to-speed-up-vaccine-trials
-
-
www.thoughtco.com www.thoughtco.com
-
In statistics, a population parameter is a number that describes something about an entire group or population.
Descriptive statistics provides numbers to describe the population.
-
- Oct 2020
-
www.theguardian.com www.theguardian.com
-
Geneva, S. and agencies in. (2020, October 12). WHO chief says herd immunity approach to pandemic “unethical.” The Guardian. http://www.theguardian.com/world/2020/oct/12/who-chief-says-herd-immunity-approach-to-pandemic-unethical
-
-
covid-19.iza.org covid-19.iza.org
-
IZA – Institute of Labor Economics. ‘COVID-19 and the Labor Market’. Accessed 6 October 2020. https://covid-19.iza.org/publications/dp13643/.
-
- Sep 2020
-
link.springer.com link.springer.com
-
Caniglia, E.C., Murray, E.J. (2020) Difference-in-Difference in the Time of Cholera: a Gentle Introduction for Epidemiologists. Current Epidemiology Reports. https://doi.org/10.1007/s40471-020-00245-2
-
-
-
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
-
-
arxiv.org arxiv.org
-
Heiler, G., Hanbury, A., & Filzmoser, P. (2020). The impact of COVID-19 on relative changes in aggregated mobility using mobile-phone data. ArXiv:2009.03798 [Physics, Stat]. http://arxiv.org/abs/2009.03798
-
-
www.theatlantic.com www.theatlantic.com
-
Thompson, D. (2020, September 7). What Young, Healthy People Have to Fear From COVID-19. The Atlantic. https://www.theatlantic.com/ideas/archive/2020/09/what-young-healthy-people-have-fear-covid-19/616087/
-
-
www.medrxiv.org www.medrxiv.org
-
O’Driscoll, M., Santos, G. R. D., Wang, L., Cummings, D. A. T., Azman, A. S., Paireau, J., Fontanet, A., Cauchemez, S., & Salje, H. (2020). Age-specific mortality and immunity patterns of SARS-CoV-2 infection in 45 countries. MedRxiv, 2020.08.24.20180851. https://doi.org/10.1101/2020.08.24.20180851
-
-
psyarxiv.com psyarxiv.com
-
Lee, Hyeon-seung, Derek Dean, Tatiana Baxter, Taylor Griffith, and Sohee Park. ‘Deterioration of Mental Health despite Successful Control of the COVID-19 Pandemic in South Korea’. Preprint. PsyArXiv, 30 August 2020. https://doi.org/10.31234/osf.io/s7qj8.
Tags
- public health
- crisis
- social distancing
- South Korea
- anxiety
- psychosis-risk
- physical health
- nationwide lockdown
- stress
- mental health
- loneliness
- depression
- is:preprint
- behavioural science
- psychological outcome
- demographic
- social network
- social factors
- general population
- COVID-19
- females
- lang:en
Annotators
URL
-
-
advances.sciencemag.org advances.sciencemag.org
-
Hong, I., Frank, M. R., Rahwan, I., Jung, W.-S., & Youn, H. (2020). The universal pathway to innovative urban economies. Science Advances, 6(34), eaba4934. https://doi.org/10.1126/sciadv.aba4934
-
-
arxiv.org arxiv.org
-
Di Lauro, F., Berthouze, L., Dorey, M. D., Miller, J. C., & Kiss, I. Z. (2020). The impact of network properties and mixing on control measures and disease-induced herd immunity in epidemic models: A mean-field model perspective. ArXiv:2007.06975 [Physics, q-Bio]. http://arxiv.org/abs/2007.06975
-
-
www.scientificamerican.com www.scientificamerican.com
-
EDITORS, T. (n.d.). Too Many Black Americans Are Dying from COVID-19. Scientific American. https://doi.org/10.1038/scientificamerican0820-8
-
-
www.thelancet.com www.thelancet.com
-
Islam, M. M., & Yunus, M. Y. (2020). Rohingya refugees at high risk of COVID-19 in Bangladesh. The Lancet Global Health, 0(0). https://doi.org/10.1016/S2214-109X(20)30282-5
-
-
www.researchgate.net www.researchgate.net
-
Ali, A., Kamraju, M., & Wani, M. (2020). AN ANALYSIS OF COVID-19 LOCKDOWN 5.0 UNLOCK 1.0, INDIA. 04.
-
-
www.medrxiv.org www.medrxiv.org
-
Aziz, N. A., Corman, V. M., Echterhoff, A. K. C., Richter, A., Schmandke, A., Schmidt, M. L., Schmidt, T. H., Vries, F. M. D., Drosten, C., & Breteler, M. M. B. (2020). Seroprevalence and correlates of SARS-CoV-2 neutralizing antibodies: Results from a population-based study in Bonn, Germany. MedRxiv, 2020.08.24.20181206. https://doi.org/10.1101/2020.08.24.20181206
-
- Aug 2020
-
www.youtube.com www.youtube.com
-
CSaP. (2020, May 1). Science, Policy & Pandemics: Episode 6 - How has the pandemic impacted children and adolescents? https://www.youtube.com/watch?v=e2mbV99cdLA&feature=youtu.be
-
-
www.bbc.co.uk www.bbc.co.uk
-
BBC Sounds. (2020, April 16. The Briefing Room—The psychological impact of the coronavirus pandemic. https://www.bbc.co.uk/sounds/play/m000h7sp
-
-
psyarxiv.com psyarxiv.com
-
Daas, Chantal den, Gill Hubbard, Marie Johnston, and Diane Dixon. ‘Protocol CHARIS Study’. Preprint. PsyArXiv, 19 August 2020. https://doi.org/10.31234/osf.io/jnxcu.
Tags
- public health
- face coverings
- population health
- absence of vaccine
- TRBs
- physical distancing
- hand washing
- variations in adherence
- CHARIS
- behavioural change
- governments
- general health
- mental health
- is:preprint
- protocol CHARIS
- event-related changes
- transmission reducing behaviours
- telephone surveys
- decision-makers
- COVID-19
- Scotland
- random digit dialing
- behaviourally-informed intervention
- lang:en
Annotators
URL
-
-
www.nber.org www.nber.org
-
Bisin, A., & Moro, A. (2020). Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses (Working Paper No. 27590; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27590
-
-
www.nber.org www.nber.org
-
Fujita, Shigeru, Giuseppe Moscarini, and Fabien Postel-Vinay. ‘Measuring Employer-to-Employer Reallocation’. Working Paper. Working Paper Series. National Bureau of Economic Research, July 2020. https://doi.org/10.3386/w27525.
-
-
www.nber.org www.nber.org
-
Moser, Christian A, and Pierre Yared. ‘Pandemic Lockdown: The Role of Government Commitment’. Working Paper. Working Paper Series. National Bureau of Economic Research, April 2020. https://doi.org/10.3386/w27062.
-
-
-
Mitchell, O. S. (2020). Building Better Retirement Systems in the Wake of the Global Pandemic (Working Paper No. 27261; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27261
-
-
covid-19.iza.org covid-19.iza.org
-
Impacts of Social and Economic Factors on the Transmission of Coronavirus Disease 2019 (COVID-19) in China. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 7, 2020, from https://covid-19.iza.org/publications/dp13165/
-
-
-
Desmet, K., & Wacziarg, R. (2020). Understanding Spatial Variation in COVID-19 across the United States (Working Paper No. 27329; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27329
-
-
covid-19.iza.org covid-19.iza.org
-
Urban Density and COVID-19. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 30, 2020, from https://covid-19.iza.org/publications/dp13440/
-
- Jul 2020
-
walker-data.com walker-data.com
-
Working with Census microdata. (n.d.). Retrieved July 31, 2020, from https://walker-data.com/tidycensus/articles/pums-data.html
-
-
www.nber.org www.nber.org
-
Rampini, A. A. (2020). Sequential Lifting of COVID-19 Interventions with Population Heterogeneity (Working Paper No. 27063; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27063
-
-
www.thelancet.com www.thelancet.com
-
Barlow, Pepita, Rachel Loopstra, Valerie Tarasuk, and Aaron Reeves. “Liberal Trade Policy and Food Insecurity across the Income Distribution: An Observational Analysis in 132 Countries, 2014–17.” The Lancet Global Health 8, no. 8 (August 1, 2020): e1090–97. https://doi.org/10.1016/S2214-109X(20)30263-1.
-
-
-
Reher, D. S., Requena, M., de Santis, G., Esteve, A., Bacci, M. L., Padyab, M., & Sandström, G. (2020). The COVID-19 pandemic in an aging world [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/bfvxt
-
-
-
Goel, R., & Yadav, K. (2020). Poultry Prices Skid in India Due to Fake News Circulation on Coronavirus [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/9gq6n
-
-
-
Senedd.tv (2020, June 09) Children, Young People and Education Committee. http://www.senedd.tv/Meeting/Archive/d1dc8890-9da6-46b9-9a54-67f464138294
-
-
osf.io osf.io
-
Dudel, C., Riffe, T., Acosta, E., van Raalte, A. A., Strozza, C., & Myrskylä, M. (2020). Monitoring trends and differences in COVID-19 case fatality rates using decomposition methods: Contributions of age structure and age-specific fatality [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/j4a3d
-
-
wellcomeopenresearch.org wellcomeopenresearch.org
-
Jeffrey, B., Walters, C. E., Ainslie, K. E. C., Eales, O., Ciavarella, C., Bhatia, S., Hayes, S., Baguelin, M., Boonyasiri, A., Brazeau, N. F., Cuomo-Dannenburg, G., FitzJohn, R. G., Gaythorpe, K., Green, W., Imai, N., Mellan, T. A., Mishra, S., Nouvellet, P., Unwin, H. J. T., … Riley, S. (2020). Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK. Wellcome Open Research, 5, 170. https://doi.org/10.12688/wellcomeopenres.15997.1
-
-
www.bristol.ac.uk www.bristol.ac.uk
-
Bristol, U. of. (n.d.). Avon Longitudinal Study of Parents and Children | Avon Longitudinal Study of Parents and Children | University of Bristol. University of Bristol. Retrieved July 18, 2020, from http://www.bristol.ac.uk/alspac/
-
-
www.nature.com www.nature.com
-
Robinson, A. (2020). How did ancient cities weather crises? Nature, 583(7816), 349–350. https://doi.org/10.1038/d41586-020-02070-5
-
-
osf.io osf.io
-
Adjiwanou, V., Alam, N., Alkema, L., Asiki, G., Bawah, A., Béguy, D., Cetorelli, V., Dube, A., Feehan, D., Fisker, A. B., Gage, A., Garcia, J., Gerland, P., Guillot, M., Gupta, A., Haider, M. M., Helleringer, S., Jasseh, M., Kabudula, C., … You, D. (2020). Measuring excess mortality during the COVID-19 pandemic in low- and lower-middle income countries: The need for mobile phone surveys [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/4bu3q
-
-
-
Hossain, M. M., Mazumder, H., Tasnim, S., Nuzhath, T., & Sultana, A. (2020). Geriatric health in Bangladesh during COVID-19: Challenges and recommendations [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/x2b8w
-
-
ph.ucla.edu ph.ucla.edu
-
UCLA (n.d.). Novel Coronavirus information page. https://ph.ucla.edu/news/fsph-news/novel-coronavirus-covid-19-information-page
-
-
www.medrxiv.org www.medrxiv.org
-
Chavarria-Miró, G., Anfruns-Estrada, E., Guix, S., Paraira, M., Galofré, B., Sáanchez, G., Pintó, R., & Bosch, A. (2020). Sentinel surveillance of SARS-CoV-2 in wastewater anticipates the occurrence of COVID-19 cases. MedRxiv, 2020.06.13.20129627. https://doi.org/10.1101/2020.06.13.20129627
-
-
fullfact.org fullfact.org
-
Panjwani, A. (n.d.). The limits of what we can say about early lockdowns. Full Fact. Retrieved July 9, 2020, from https://fullfact.org/health/limits-what-we-can-say-about-early-lockdowns/
-
-
link.aps.org link.aps.org
-
Sayama, H. (2020). Enhanced ability of information gathering may intensify disagreement among groups. Physical Review E, 102(1), 012303. https://doi.org/10.1103/PhysRevE.102.012303
-
-
www.thelancet.com www.thelancet.com
-
Pollán, M., Pérez-Gómez, B., Pastor-Barriuso, R., Oteo, J., Hernán, M. A., Pérez-Olmeda, M., Sanmartín, J. L., Fernández-García, A., Cruz, I., Larrea, N. F. de, Molina, M., Rodríguez-Cabrera, F., Martín, M., Merino-Amador, P., Paniagua, J. L., Muñoz-Montalvo, J. F., Blanco, F., Yotti, R., Blanco, F., … Villa, A. V. de la. (2020). Prevalence of SARS-CoV-2 in Spain (ENE-COVID): A nationwide, population-based seroepidemiological study. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)31483-5
-
-
psyarxiv.com psyarxiv.com
-
Kim, H., & Florack, A. (2020). When Social Interaction Backfires: Frequent Social Interaction during the COVID-19 Pandemic Period Is Associated with Decreased Well-Being and Higher Panic Buying. https://doi.org/10.31234/osf.io/sg5vx
-
- Jun 2020
-
Local file Local file
-
X is the trials by neurons pseudopopulation matrix of firing rates
So these pseudopopulations were random agglomerates of single neurons that were recorded, so many fits for random groups, and the best were kept?
-
re-representing high-750 dimensional neural activity in a small number of dimensions that correspond to variables 751 of interest in the data
Essentially this is kind of like constructing dissimilarity matrices over large groups of voxels?
-
-
science.sciencemag.org science.sciencemag.org
-
Britton, T., Ball, F., & Trapman, P. (2020). A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2. Science. https://doi.org/10.1126/science.abc6810
-
-
twitter.com twitter.com
-
Devi Sridhar on Twitter: “Reality check: Germany (pop 83million) running 200-300 cases per day and sudden outbreak is 1000 cases from a factory. UK (pop 66million) running 1200-1500 cases per day. Like an equivalent big outbreak everyday in the UK.” / Twitter. (n.d.). Twitter. Retrieved June 23, 2020, from https://twitter.com/devisridhar/status/1274977021530116096
-
-
www.thelancet.com www.thelancet.com
-
Clark, A., Jit, M., Warren-Gash, C., Guthrie, B., Wang, H. H., Mercer, S. W., ... & Checchi, F. (2020). Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study. The Lancet Global Health.
-
-
email.primer.ai email.primer.ai
-
Primer Weekly Briefing 01/05/20
-
-
twitter.com twitter.com
-
Twitter. (n.d.). Twitter. Retrieved June 12, 2020, from https://twitter.com/robertoge/status/1270710014135676928
-
-
fivethirtyeight.com fivethirtyeight.com
-
Koerth, M. (2020, March 31). Why It’s So Freaking Hard To Make A Good COVID-19 Model. FiveThirtyEight. https://fivethirtyeight.com/features/why-its-so-freaking-hard-to-make-a-good-covid-19-model/
-
-
arxiv.org arxiv.org
-
Friston, K. J., Parr, T., Zeidman, P., Razi, A., Flandin, G., Daunizeau, J., Hulme, O. J., Billig, A. J., Litvak, V., Moran, R. J., Price, C. J., & Lambert, C. (2020). Dynamic causal modelling of COVID-19. ArXiv:2004.04463 [q-Bio]. http://arxiv.org/abs/2004.04463
-
-
twitter.com twitter.com
-
David Murphy - BPS President en Twitter: “Within the framework below we’re prioritizing areas where there’s time urgency & BPS can make a sig. impact. ATM these are disease prevention, staff wellbeing, effect of confinement esp on vulnerable groups, psychol care of patients & relatives & adapting psychol services (2/2) https://t.co/C0sGT1FizG” / Twitter. (n.d.). Twitter. Retrieved April 21, 2020, from https://twitter.com/clinpsychdavid/status/1242891161951514629
-
-
-
Gou, W., Huang, S., Chen, J., Li, X., & Chen, Q. (2020). Structural and Dynamic of Global Population Migration Network. ArXiv:2006.02208 [Physics]. http://arxiv.org/abs/2006.02208
-
-
www.thelancet.com www.thelancet.com
-
Tian, H., & Bjornstad, O. N. (2020). Population serology for SARS-CoV-2 is essential to regional and global preparedness. The Lancet Microbe, 0(0). https://doi.org/10.1016/S2666-5247(20)30055-0
-
-
science.sciencemag.org science.sciencemag.org
-
Zhang, J., Litvinova, M., Liang, Y., Wang, Y., Wang, W., Zhao, S., Wu, Q., Merler, S., Viboud, C., Vespignani, A., Ajelli, M., & Yu, H. (2020). Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science, eabb8001. https://doi.org/10.1126/science.abb8001
-
-
www.nytimes.com www.nytimes.com
-
Popovich, Nadja, and Margot Sanger-Katz. “The World Is Still Far From Herd Immunity for Coronavirus.” The New York Times, May 28, 2020, sec. The Upshot. Retrieved June 1, 2020, from https://www.nytimes.com/interactive/2020/05/28/upshot/coronavirus-herd-immunity.html.
-
- May 2020
-
www.cambridge.org www.cambridge.org
-
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
-
-
www.covidcrisislab.unibocconi.eu www.covidcrisislab.unibocconi.euAbout us1
-
About us. (n.d.). Retrieved May 5, 2020, from /wps/wcm/connect/Site/CovidCrisisLab/Home/About+us
Tags
- is:webpage
- research
- health
- policy
- crisis
- consequence
- legal
- laboratory
- economy
- population
- society
- analysis
- financial
- lab
- implication
- healthcare
- COVID-19
- lang:en
Annotators
URL
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Banerjee, D. (2020). The Impact of Covid‐19 Pandemic on Elderly Mental Health. International Journal of Geriatric Psychiatry, gps.5320. https://doi.org/10.1002/gps.5320
-
-
www.thelancet.com www.thelancet.com
-
Jordan, R. E., & Adab, P. (2020). Who is most likely to be infected with SARS-CoV-2? The Lancet Infectious Diseases, S1473309920303959. https://doi.org/10.1016/S1473-3099(20)30395-9
-
-
psyarxiv.com psyarxiv.com
-
Stieger, S., Lewetz, D., & Swami, V. (2020). Psychological Well-Being Under Conditions of Lockdown: An Experience Sampling Study in Austria During the COVID-19 Pandemic [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/qjhfp
-
-
-
Nigam, S. (2020, May 21). COVID-19, LOCKDOWN AND VIOLENCE AGAINST WOMEN IN HOMES. https://doi.org/10.31234/osf.io/59bju
-
-
-
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
-
-
dash.harvard.edu dash.harvard.edu
-
Larremore, Daniel B., Kate M. Bubar, and Yonatan H. Grad. Implications of test characteristics and population seroprevalence on ‘immune passport’ strategies (May 2020).https://dash.harvard.edu/handle/1/42664007
-
-
www.nature.com www.nature.com
-
Li, A., Zhou, L., Su, Q., Cornelius, S. P., Liu, Y.-Y., Wang, L., & Levin, S. A. (2020). Evolution of cooperation on temporal networks. Nature Communications, 11(1), 1–9. https://doi.org/10.1038/s41467-020-16088-w
-
-
-
Inglesby, T. V. (2020). Public Health Measures and the Reproduction Number of SARS-CoV-2. JAMA. https://doi.org/10.1001/jama.2020.7878
-
-
psyarxiv.com psyarxiv.com
-
Shevlin, M., McBride, O., Murphy, J., Gibson Miller, J., Hartman, T. K., Levita, L., … Bentall, R. (2020, April 18). Anxiety, Depression, Traumatic Stress, and COVID-19 Related Anxiety in the UK General Population During the COVID-19 Pandemic. https://doi.org/10.31234/osf.io/hb6nq
-
-
psyarxiv.com psyarxiv.com
-
Branley-Bell, D., & Talbot, C. V. (2020, May 5). Exploring the impact of the COVID-19 pandemic and UK lockdown on individuals with experience of eating disorders. https://doi.org/10.31234/osf.io/bdcwe
-
-
-
Viehweger, A., Kühnl, F., Brandt, C., & König, B. (2020). Increased PCR screening capacity using a multi-replicate pooling scheme. MedRxiv, 2020.04.16.20067603. https://doi.org/10.1101/2020.04.16.20067603
-
- Apr 2020
-
vocalishealth.com vocalishealth.com
-
Vocalis Health. (n.d.). Retrieved April 23, 2020, from https://vocalishealth.com/
-
-
rocs.hu-berlin.de rocs.hu-berlin.de
-
Forecasts by Country. (n.d.). Retrieved April 17, 2020, from http://rocs.hu-berlin.de/corona/docs/forecast/results_by_country/
-
- Jan 2020
-
www.perell.com www.perell.com
-
80% of Americans live, work, and hang out in the pink areas — 3.6 percent of the landmass of the lower 48 states.
Map where 80% of Americans' life is
-
- Dec 2019
-
frankensteinvariorum.github.io frankensteinvariorum.github.io
-
a race of devils would be propagated upon the earth
Victor's frightening imagination of a "race of devils" that would be "propagated upon the earth" may owe something to fears of vast population increase in the wake of debates over Thomas Malthus's predictions in An Essay on the Principle of Population (1798), which were being fiercely debated (by Godwin and William Hazlitt among others) around the time of the novel's composition. See Clara Tuite, "Frankenstein's Monster and Malthus's 'Jaundiced Eye': Population, Body Politics, and the Monstrous Sublime," Eighteenth-Century Life 22.1 (1998).
-
- Jul 2019
-
-
The state’s population grew by 14.4 percent over the past eight years, faster than any other state, according to Census Bureau population estimates. And that’s increasingly because of migration, which contributed 43 percent to the state’s population growth between 2015 and 2018, compared to 16 percent in the previous four-year period
Utah's highest population growth across the nation is one factor that contributes to housing shortage. The drastic increase in migration over the past 4 years indicates there is a great chance that this trend will continue which can worsen the current housing crisis in Utah.
-
- Mar 2019
-
faqdd.qc.ca faqdd.qc.ca
-
appelons qu’en 2011, la Ville de Québec invitait la population, dans le cadre du Plan de mobilité durable de la Ville de Québec, à collaborer à la réalisation de projets collectifs en matière d'aménagement et de mobilité durable. Dans ce contexte, le Comité des citoyens et citoyennes du quartier Saint-Sauveur et le Conseil de quartier de Saint-Sauveur ont élaboré de 2011 à 2016 le premier plan de mobilité durable de quartier sur le territoire de la Ville de Québec. Au total, ce sont plus de 2500 heures de bénévolat et d'implication citoyenne qui ont été enregistrées lors des différentes activités.
zone commentaire 1
-
- Feb 2019
-
www.theatlantic.com www.theatlantic.com
-
The Women Who Contributed to Science but Were Buried in Footnotes
-
- Jan 2019
-
psycnet.apa.org psycnet.apa.org
-
Lewontin’s fallacy
For the article to name this fallacy and thoroughly debunk it, see Edwards, A. W. F. (2003). Human genetic diversity: Lewontin's fallacy. BioEssays, 25, 798-801. doi:10.1002/bies.10315
-
- Sep 2018
-
mashable.com mashable.com
-
Snapchat says it reaches 28.5 to 30 million 18-24 year old users in the U.S. According to a recent survey of Instagram users, approximately 32 percent of its 1 billion-strong user base is 18-24.
Snapchat reaches around 30 million 18-24 year old users; important ages that are more recently able to vote and take political action. Instagram and snapchat are most popular amongst younger users.
-
-
en.wikipedia.org en.wikipedia.org
-
1,137,100
1137100
Tags
Annotators
URL
-
- Aug 2018
-
en.wikipedia.org en.wikipedia.org
-
14,040,163
14040163
-
-
en.wikipedia.org en.wikipedia.org
-
City 3,711,930
3711930
-
-
en.wikipedia.org en.wikipedia.org
-
City 1,822,445
1822445
-
-
en.wikipedia.org en.wikipedia.org
-
City 613,230
613230
-
-
en.wikipedia.org en.wikipedia.org
-
Total 73,065
73065
-
-
en.wikipedia.org en.wikipedia.org
-
City 532,163
532163
-
-
en.wikipedia.org en.wikipedia.org
-
1,075,935
1075935
-
-
en.wikipedia.org en.wikipedia.org
-
City 623,738
623738
-
-
en.wikipedia.org en.wikipedia.org
-
364,920
364920
-
-
en.wikipedia.org en.wikipedia.org
-
1,464,301
1464301
-
-
en.wikipedia.org en.wikipedia.org
-
230,537
230537
Tags
Annotators
URL
-
-
en.wikipedia.org en.wikipedia.org
-
506,615
506615
Tags
Annotators
URL
-
-
en.wikipedia.org en.wikipedia.org
-
277,375
277375
-