8 Matching Annotations
  1. Feb 2022
  2. www.seattletimes.com www.seattletimes.com
    ‘Capitalizing on skepticism’: How the coronavirus has exposed us once again
    1
    1. Marlene_Wulf 18 Feb 2022

      ‘Capitalizing on skepticism’: How the coronavirus has exposed us once again. (2022, February 16). The Seattle Times. https://www.seattletimes.com/seattle-news/capitalizing-on-skepticism-how-the-coronavirus-has-exposed-us-once-again/

      is:news lang:en COVID-19 skepticism infection death US Global Health Security Index preperation spread wealth weather population density Brazil Japan trust public trust
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    seattletimes.com/seattle-news/capitalizing-on-skepticism-how-the-coronavirus-has-exposed-us-once-again/
  3. Apr 2021
  4. journals.plos.org journals.plos.org
    Population density and basic reproductive number of COVID-19 across United States counties
    1
    1. n.parfitt 22 Apr 2021

      Sy, Karla Therese L., Laura F. White, and Brooke E. Nichols. ‘Population Density and Basic Reproductive Number of COVID-19 across United States Counties’. PLOS ONE 16, no. 4 (21 April 2021): e0249271. https://doi.org/10.1371/journal.pone.0249271.

      is:article lang:en COVID-19 population density reproduction number united states county transmission duration infectiousness cross-sectional analysis linear mixed models transportation access income outbreak contact geography resource
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    journals.plos.org/plosone/article
  5. Aug 2020
  6. www.nber.org www.nber.org
    Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses
    1
    1. ErikStuchly 15 Aug 2020

      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

      is:preprint lang:en COVID-19 epidemiology modeling behavioral response geography distribution population size density movement local interaction herd immunity dynamics
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    nber.org/papers/w27590
  7. www.nber.org www.nber.org
    Understanding Spatial Variation in COVID-19 across the United States
    1
    1. Marlene_Wulf 07 Aug 2020

      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

      is:preprint lang:en COVID-19 USA death correlation population density public transport age structure nursing home resident disease severity Donald Trump lockdown reopening policy policymaker response
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    nber.org/papers/w27329
  8. covid-19.iza.org covid-19.iza.org
    COVID-19 and the Labor Market
    1
    1. ErikStuchly 04 Aug 2020

      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/

      is:article lang:en COVID-19 urban area density transmission severity USA confound historical population geological feature timing big data mortality morbidity Google Facebook social distancing age
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    covid-19.iza.org/publications/dp13440/
  9. Jul 2020
  10. wellcomeopenresearch.org wellcomeopenresearch.org
    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
    1
    1. Danaeioak 20 Jul 2020

      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

      is:preprint lang:en COVID-19 mobility mobile phone UK social distancing crowd level data lockdown population density policy compliance behavioral change
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    wellcomeopenresearch.org/articles/5-170
  11. Jun 2020
  12. twitter.com twitter.com
    (4) Uživatel Roberto Gallardo na Twitteru: „1/4 Here are animated GIFs on #COVID cases per 100k in by county type. Although #urban has a larger share of cases nationally, when you look at individual states, trends change. #Thread https://t.co/gheMzB0BCm“ / Twitter
    1
    1. tadedvorak 12 Jun 2020

      Twitter. (n.d.). Twitter. Retrieved June 12, 2020, from https://twitter.com/robertoge/status/1270710014135676928

      citation USA COVID-19 visualisation data population density urban suburban rural differences lang:en is:tweet
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    twitter.com/robertoge/status/1270710014135676928
  13. May 2020
  14. doi.org doi.org
    https://doi.org/10.1101/2020.04.15.20064980
    1
    1. edampf 18 May 2020

      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

      is:preprint lang:en COVID-19 crowding transmission China epidemic intensity dense city spatial variable population density epidemiology infection rate
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    doi.org/10.1101/2020.04.15.20064980