We have the first reported case of COVID19 infected homeless in Los Angeles, in my op that’s the absolute worst possible thing that could happen. We have/had an ‘epidemic’ of homelessness in California well before all this started, adding a virus to that community is like dropping a match into a powder keg. The mayor has set up beautiful trailer cities along the beaches (where EVERYONE IN THE WORLD wants to get reservations and CANT but the homeless won’t go...regardless, they don’t have anyplace to wash hands or retreat to, they are exposed at all times. Not only would/will the homeless community suffer greatly, they will be the source of great spread.
We also have what is thought to be the first/only death of someone under 18, a 17 year old Lancaster boy. Because there have been no other reported cases in the world of anyone under 18 dying of COVID19 they are obviously looking into the details. Seems there may be more to the story but you can imagine how it’s freaking people out, the Lancaster mayor darn near locked all kids in their rooms to protect them. They will probably find that COVID19 was only part of the story but because he should never have been sick let alone died, he exposed a lot of people and rocked a lot of boats.
Last thing: I am seeing so much statistical data being collected and shared then used out of context that the only thing I am 100% positive of is that NOBODY (citizen or media) has any chance of understanding what the data means or what is really going on. Making matters worse, there is little consistency in the ‘unit of measure’ being used/reported. Some charts are linear, others exponential. Some counts are raw numbers, other count/thousand. Some are actual, others are projection based on previous rate, some are projecting based on model or trend or rate of change. Get it? Being a numbers guy who uses this kind of data to understand business trends, earnings and growth rates AND having come from a laboratory background (I even studied epidemiology at one time), the first thing I try to do is standardize the data so I’m comparing fruit to fruit.