Mathematical Resources to Help Understand COVID-19

Scientists around the world have mobilized to understand the novel coronavirus outbreak, to develop ways to slow its spread, and to provide quantitative guidance to policy makers. As a professional STEM society, it is part of our responsibility to help facilitate a better understanding of this virus and the research surrounding it. That’s why we have collected the resources below - to highlight some of this work and the mathematical tools on which it is based. We will continue to update this page as new information becomes available and hope these resources will help mobilize the SIAM community. If you know of a great resource you’d like to add, please join the conversation by sharing valuable resources in the comment section of this post. 

Government Agencies and Non-governmental Organizations

• U.S. Centers for Disease Control and Prevention: https://www.cdc.gov/coronavirus/2019-ncov/index.html
• World Health Organization (WHO): https://www.who.int/emergencies/diseases/novel-coronavirus-2019
• European Centre for Disease Prevention and Control: https://www.ecdc.europa.eu/en/covid-19-pandemic
• U.S. National Institutes of Health (NIH): https://www.fic.nih.gov/ResearchTopics/Pages/infectiousdiseases-coronavirus-cov.aspx 

Articles on Coronaviruses and Epidemiology

• A collection of epidemiology articles in SIAM journals, made free as a public service
  
  • https://epubs.siam.org/page/EpidemiologyCollection 
• Articles and updates published by Imperial College COVID-19 Response Team:
  
  • https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/covid-19/covid-19-information/
• Article using simulations to demonstrate “flattening the curve” (Harry Stevens, Washington Post)
  
  • https://www.washingtonpost.com/graphics/2020/world/corona-simulator/
• The effect of summer on SARS-CoV-2 (Marc Lipsitch, Harvard School of Public Health)
  
  • https://ccdd.hsph.harvard.edu/will-covid-19-go-away-on-its-own-in-warmer-weather/
• The dynamics of COVID-19 under social distancing (Ezekiel Emanuel et al., University of Pennsylvania in New York Times op-ed)
  
  • https://www.nytimes.com/2020/03/17/opinion/coronavirus-social-distancing-effect.html

Modeling Tools and Data Trackers

• Interactive dashboard to track COVID-19 (Johns Hopkins University):
  
  • https://systems.jhu.edu/research/public-health/ncov/
  • GitHub project: https://github.com/CSSEGISandData 
• WHO Situation Dashboard: https://experience.arcgis.com/experience/685d0ace521648f8a5beeeee1b9125cd
• Institute for Health Metrics and Evaluation (University of Washington): http://www.healthdata.org/covid 
  
  • GitHub project: https://github.com/ihmeuw-msca/CurveFit  
• Our World in Data (developed by Global Change Data Lab, a UK-based charity): https://ourworldindata.org/coronavirus 
• Worldometer (published by Dadax, a U.S.-based independent media company): https://www.worldometers.info/coronavirus/ 
• U.S. Health Weather Map issued by Kinsa Insights and based on data from smart thermometers: https://healthweather.us/ 

COVID-19 Funding Solicitations

• Elrha: https://www.elrha.org/funding-opportunity/research-to-support-covid-19-response-in-humanitarian-settings/ 
• NIH: https://grants.nih.gov/grants/natural_disasters/corona-virus.htm
• National Institute of Allergy and Infectious Diseases (NIAID): https://www.niaid.nih.gov/grants-contracts/response-covid-2019-outbreak 
• National Science Foundation (NSF): https://www.nsf.gov/news/special_reports/coronavirus/
• Wellcome Trust: https://wellcome.ac.uk/grant-funding/schemes/epidemic-preparedness-covid-19

Resource Pages Provided by Other Organizations and Societies

• American Society for Microbiology: https://asm.org/Press-Releases/2020/COVID-19-Resources
• Federation of American Scientists: https://fas.org/ncov/
• MIDAS Network: https://midasnetwork.us/covid-19/
  
  • GitHub project: https://github.com/midas-network/COVID-19 
• Research!America: https://www.researchamerica.org/covid19