Science Daily Covid-19 Links – 11.06.20

Massachusetts Institute of Technology. “COVID-19 ‘super-spreading’ events play out-sized role in overall disease transmission: Mathematical analysis suggests that preventing large gatherings could significantly reduce COVID-19 infection rates.” ScienceDaily, 2 November 2020. www.sciencedaily.com/releases/2020/11/201102173232.htm.

Journal Reference: Felix Wong, James J. Collins. Evidence that coronavirus superspreading is fat-tailed. Proceedings of the National Academy of Sciences, 2020; 202018490 DOI: 10.1073/pnas.2018490117

University of Alberta Faculty of Medicine & Dentistry. “Review finds almost 20 percent of COVID-19 patients only show gastrointestinal symptoms: Radiologists encouraged to remain watchful for signs of the virus.” ScienceDaily. ScienceDaily, 3 November 2020. www.sciencedaily.com/releases/2020/11/201103104734.htm.

Journal Reference: Kevin Lui, Mitchell P. Wilson, Gavin Low. Abdominal imaging findings in patients with SARS-CoV-2 infection: a scoping review. Abdominal Radiology, 2020; DOI: 10.1007/s00261-020-02739-5

Brigham and Women’s Hospital. “Study uncovers subset of COVID-19 patients who recover quickly and sustain antibodies: Researchers identify patients who cleared the disease faster and had a persistent antibody response, with important implications for immunity.” ScienceDaily. ScienceDaily, 3 November 2020. www.sciencedaily.com/releases/2020/11/201103121044.htm.

Journal Reference: Yuezhou Chen, Adam Zuiani, Stephanie Fischinger, Jyotsna Mullur, Caroline Atyeo, Meghan Travers, Felipe J.N. Lelis, Krista M. Pullen, Hannah Martin, Pei Tong, Avneesh Gautam, Shaghayegh Habibi, Jillian Bensko, Deborah Gakpo, Jared Feldman, Blake M. Hauser, Timothy M. Caradonna, Yongfei Cai, John S. Burke, Junrui Lin, James A. Lederer, Evan Christopher Lam, Christy L. Lavine, Michael S. Seaman, Bing Chen, Aaron G. Schmidt, Alejandro Benjamin Balazs, Douglas A. Lauffenburger, Galit Alter, Duane R. Wesemann. Quick COVID-19 Healers Sustain Anti-SARS-CoV-2 Antibody Production. Cell, 2020; DOI: 10.1016/j.cell.2020.10.051

Texas A&M University. “Four major predictors of COVID-19 emerge in new study: Researchers identified socioeconomic predictors that could inform future pandemic response.” ScienceDaily. ScienceDaily, 4 November 2020. <www.sciencedaily.com/releases/2020/11/201104114724.htm>.

Journal Reference: Richard S. Whittle, Ana Diaz-Artiles. An ecological study of socioeconomic predictors in detection of COVID-19 cases across neighborhoods in New York City. BMC Medicine, 2020; 18 (1) DOI: 10.1186/s12916-020-01731-6

Brigham and Women’s Hospital. “Rapid changes in biomarker of inflammation may be a key predictor of COVID-19 outcomes: Results provide insight into underlying mechanisms of inflammation that may help anticipate clinical trajectories of COVID-19 patients.” ScienceDaily. ScienceDaily, 5 November 2020. www.sciencedaily.com/releases/2020/11/201105112947.htm.

Journal Reference: Alisa A. Mueller, Tomoyoshi Tamura, Conor P. Crowley, Jeremy R. DeGrado, Hibah Haider, Julia L. Jezmir, Gregory Keras, Erin H. Penn, Anthony F. Massaro, Edy Y. Kim. Inflammatory Biomarker Trends Predict Respiratory Decline in COVID-19 Patients. Cell Reports Medicine, 2020; 100144 DOI: 10.1016/j.xcrm.2020.100144

Executive Summary

  • Super spreading events are real so avoid large crowds when possible and wear a mask.
  • I had the worst stomach bug in my entire life back in February. I ate only to keep my strength up but no foods were appealing. The thought of alcohol made me cringe. It lasted a week and I lost five pounds. Covid?
  • Did I develop and sustain antibodies?
  • The socioeconomic predictors of Covid-19 are pretty much what they have been for many years. The virus has merely put a spotlight on existing economic and other inequalities in the world.
  • C-Reactive Protein (CRP).

One thought on “Science Daily Covid-19 Links – 11.06.20

Leave a Reply

Please log in using one of these methods to post your comment:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s