Nast, C. (2022, January 15). Do the Omicron Numbers Mean What We Think They Mean? The New Yorker. https://www.newyorker.com/magazine/2022/01/24/do-the-omicron-numbers-mean-what-we-think-they-mean

Wise, J. (2021). Headlines play down the gravity of covid-19 in children. BMJ, 375, n2826. https://doi.org/10.1136/bmj.n2826

Spiegelhalter. D. (2020). David Spiegelhalter: How to be a coronavirus statistics sleuth. New Scientist. Retrieved from: https://www.newscientist.com/article/mg24732954-000-david-spiegelhalter-how-to-be-a-coronavirus-statistics-sleuth/?utm_term=Autofeed&utm_campaign=echobox&utm_medium=social&utm_source=Twitter#Echobox=1597271080

Bauer, B., Larsen, K. L., Caulfield, N., Elder, D., Jordan, S., & Capron, D. (2020). Review of Best Practice Recommendations for Ensuring High Quality Data with Amazon’s Mechanical Turk. PsyArXiv. https://doi.org/10.31234/osf.io/m78sf

Haushofer, J., & Metcalf, C. J. E. (2020). Which interventions work best in a pandemic? Science. https://doi.org/10.1126/science.abb6144

Spiegelhalter, D. (2020, July 5). Risks, R numbers and raw data: How to interpret coronavirus statistics. The Observer. https://www.theguardian.com/world/2020/jul/05/risks-r-numbers-and-raw-data-how-to-interpret-coronavirus-statistics

Natalie E. Dean, PhD on Twitter: “THINK LIKE AN EPIDEMIOLOGIST: There are more new confirmed cases each day in the US than at any time during the earlier April peak. But is it really meaningful to compare those numbers? How do epidemiologists decide when to sound the alarm? A thread. 1/11 https://t.co/rPelzIvcxs” / Twitter. (n.d.). Twitter. Retrieved July 3, 2020, from https://twitter.com/nataliexdean/status/1278868210385915904

Davey, M. (2020, May 28). Questions raised over hydroxychloroquine study which caused WHO to halt trials for Covid-19. The Guardian. https://www.theguardian.com/science/2020/may/28/questions-raised-over-hydroxychloroquine-study-which-caused-who-to-halt-trials-for-covid-19

CDC. (2020, February 11). Coronavirus Disease 2019 (COVID-19). Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html

Callaghan, S. (2020). COVID-19 Is a Data Science Issue. Patterns, 100022. https://doi.org/10.1016/j.patter.2020.100022

Murray, A. (2020). The easy way is hard enuff. Harvard. DOI: 10.1016/j.cub.2020.04.013

Bird, S., Nielsen, B. (2020 April 20). Now-casting of Covid-19 deaths in English Hospitals. http://users.ox.ac.uk/~nuff0078/Covid/index.htm