News & Software Updates
As COVID-19 testing becomes a routine part of doing business, some operations face the question of whether testing should be …
Voluntary vs. mandatory testing for naval crew selection Read More »
(Posted on 23 Apr 2020) In previous articles [C20a, H20], my colleague and I have written about how the number …
Early COVID-19 decay rates for countries that have peaked Read More »
The infection fatality rate (IFR) of COVID-19 is one of the most important parameters for mathematical models of the pandemic, …
The COVID-19 pandemic has given many people a crash course in the frightening implications of rapid exponential growth in cases …
The Suppression Triangle for COVID-19: How soon can we end the lockdown? Read More »
(Posted on 15-Apr-2020) On 26-March-2020, researchers at the Institute for Health Metrics and Evaluation (IHME) at the University of Washington …
A critique of the HealthData.org COVID-19 model, and how it works Read More »
(Posted 23-Mar-2020) Two weeks ago in the article “Estimating US Deaths from COVID-19 Coronavirus in 2020” [C20b], I developed a …
On Monday of this week, the Imperial College COVID-19 Response Team released an influential report that forecasts how social isolation …
How social isolation impacts COVID-19 spread in the US: A Markov model approach Read More »
We all are uncertain about how the future will unfold. This is a primary reason why decision making in business, public policy and our personal lives is so hard. As the COVID-19 Coronavirus pandemic continues to unfold [W20], we are all confronted numerous new decisions that hinge a lot on how bad this is going to get. And these are hard, because the uncertainty and the stakes are so big.
It has only been about a month since the new strain of a coronavirus appeared in the city of Wuhan, …
If you are like most practitioners of analytics, you went into the field because you are good with numbers, and you want to help people improve the quality of decisions on important issues. But many of us spend too much time struggling to organize poorly structured data and debugging complex spreadsheets or code and too little time engaging directly with our clients to help them clarify their objectives and decisions, brainstorm better decision options, and explore, visualize and understand the results. Without this kind of interaction, the analysis may fail to address the issues they really care about. Even if it does, clients may not develop the confidence to rely on the insights, and you end up frustrated that your hard work fails to be properly appreciated.
Read the article at Orms Today Magazine, Dec 2019