For some corroborating data, there's a "smart thermometer" company [1] that uses the aggregated data from their thermometers to maintain health "weather" metrics for the US [2]. Right on their health weather page, you can see a chart showing typical rates for seasonal infections across the US, up until March 1st. And if you're concerned that New York is tilting the results, then you can even zoom in to the San Francisco area [3] and see the same behavior.
Kinsa's CEO has published a writeup on medium [4] that compares a couple of different areas with different responses and timelines, and he says that the data he's seeing suggests that stay-at-home orders are making a big difference in infection rates. They have more stuff like this on their Twitter account [5].
I would think that if this were the same disease all the way back in December, the data would look very different. There'd be no explanation for the fall-off of fever rates all the way up to March 1, when it suddenly started climbing.
[1]: https://www.kinsahealth.co/
[2]: https://healthweather.us/?mode=Atypical
[3]: https://healthweather.us/?regionId=06075&mode=Atypical
[4]: https://medium.com/@inders/your-sacrifices-are-saving-lives-...