COVID-19 has the world turned upside down. IMPLAN is no different as we have moved to working remotely instead of heading into the office. As the leader in economic impact modeling data and software, we are being continually asked how to model the economic impacts of COVID-19. Unfortunately, the answer isn’t easy, and with things changing so quickly, it won’t fully be known until the pandemic is under control. No model can predict all of the wide-ranging, short- and long-term impacts of such a far-reaching phenomenon as the COVID-19 pandemic, but here are some ways you can examine what is happening in the U.S. and your community.
News coverage around COVID-19 is unavoidable. The worldwide pandemic has upset lives globally and dominated everyone’s attention for weeks. With the situation seemingly changing every hour, experts across industries have come forward with predictions about all aspects of life including from healthcare, personal finance, the economy, and more. Due to the interconnectedness of our economy, a disruption to any industry has ripple effects throughout other industries and geographies. Foreign travel was one of the first industries to be clearly impacted by the emergence of the coronavirus in China, and impact analyses can demonstrate the reach of those affected by this economic turmoil.
Since we’re currently in the middle of tornado season and on the heels of a prediction of an active 2018 Atlantic Hurricane Season, this would be an appropriate time for a discussion on natural disasters.
I’ve seen first-hand the destruction of natural disasters. I experienced Hurricanes Fran and Lloyd, plus the 2011 Super Outbreak of tornadoes while living in North Carolina and Alabama, respectively. It doesn’t take long after surveying the debris and downed trees or hearing the stories of survivors to realize the emotional and physical impacts of these events. But one thing that’s often talked about but harder to pin down is the economic impacts from nature’s fiercest displays of force.
That being said, let’s pose the question: “What results and trends can we expect when a natural disaster event occurs in a given region?” Seems simple enough, right? Well, the answer might be a little more complex than you’d expect.