I like to use the NIH website, which publishes plenty of contradictory information, btw, but that's kind of how science works.
I've read the Imperial College predictive model, and knew right away that it had flaws. Even it didn't call for wide spread lock downs when it predicted 2 million deaths in the US within a short period. Keep in mind, this is the model most government agencies decided to base their responses on.
Oxford's predictive model, lead authored by Dr. Sunetra Gupta, has been far closer to the reality of the pandemic, as that model factored in some pre-existing cross immunity. As such, I have found Oxford's Centre for Evidence Based Medicine is a good source of information. Plus, you have some 50,000 + experts and clinicians who signed on to the Great Barrington Declaration, also partly authored by Dr. S Gupta, and Professors from Harvard and Stanford.
Once you take the time to learn about the fundamentals of an issue, you can gather information from any source. I simply disregard the conclusions made by journalists (as they aren't supposed to conclusions, it turns a news article into an opinion piece) and use the facts, guided by my understanding of the issue, to formulate my opinions on the matter.
I could go on about how to determine whether or not a source is credible, but we'll save that for another class.
So you base your opinions on computer models? Really? Like the ones that said the polar ice caps would be gone by the year 2000?