Data science tools are powerful for investigating the current pandemic and other outbreaks, when accurate and actionable data are crucial. Epidemiologist and R Epidemics Consortium leader Amrish Baidjoe shared his insights into using data science to fight disease, from modeling to automation to new technologies.
Data science tools are powerful for investigating the current pandemic and other outbreaks, when accurate and actionable data are crucial. But they become even more powerful combined with complementary, varied domain expertise and tools for automation.

As I researched data science topics related to the COVID-19 pandemic, I ran across the article “Outbreak Analytics: A Developing Data Science for Informing the Response to Emerging Pathogens”. I was fascinated by the article’s approach to using data analytics to cope with disease outbreaks. I reached out to one of its authors, Amrish Baidjoe, honorary assistant professor at the London School of Hygiene and Tropical Medicine and president of the European Alumni Association for Field Epidemiology. Baidjoe also was vice-president of the R Epidemics Consortium (RECON), a group that developed R tools and training for use in epidemics.

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