WEBVTT 00:01.133 --> 00:03.166 align:left position:20% line:83% size:70% GEOFF BENNETT: Three years into the pandemic, 00:03.166 --> 00:07.333 align:left position:10% line:77% size:80% cases, hospitalizations and deaths are all declining, but questions remain about new 00:08.800 --> 00:11.266 align:left position:10% line:83% size:80% variants and whether some people may need a spring booster shot. 00:11.266 --> 00:15.466 align:left position:10% line:77% size:80% William Brangham is here with an update on the state of COVID in the U.S. 00:15.466 --> 00:20.400 align:left position:10% line:77% size:80% WILLIAM BRANGHAM: Geoff, it's worth noting good news when it occurs. And, on COVID, 00:20.400 --> 00:25.400 align:left position:10% line:77% size:80% there is some. The U.S. avoided the worst of a winter surge, and weekly recorded deaths from 00:27.366 --> 00:29.933 align:left position:10% line:77% size:80% this virus are the lowest they have been since the early weeks of the pandemic. 00:29.933 --> 00:34.933 align:left position:10% line:77% size:80% But it is not all good news. More than 1,700 Americans still died last 00:36.900 --> 00:40.033 align:left position:10% line:77% size:80% week because of COVID. And, for the elderly, immunocompromised and those still struggling 00:42.033 --> 00:45.600 align:left position:10% line:77% size:80% with the little-understood long COVID, this pandemic is hardly in the rearview mirror. 00:47.666 --> 00:50.766 align:left position:10% line:77% size:80% For another check-in on COVID, we're joined again by epidemiologist Katelyn 00:50.766 --> 00:54.866 align:left position:20% line:77% size:70% Jetelina. She's at the University of Texas. And she writes the very 00:54.866 --> 00:58.266 align:left position:10% line:83% size:80% informative Substack called Your Local Epidemiologist. 00:58.266 --> 01:01.066 align:left position:10% line:83% size:80% Katelyn, great to have you back on the "NewsHour." 01:01.066 --> 01:06.066 align:left position:10% line:77% size:80% What is your take on where we are in the trajectory of this pandemic? Deaths are down, 01:07.966 --> 01:11.033 align:left position:10% line:77% size:80% as I mentioned, but there is this XBB variant that is -- subvariant, 01:11.033 --> 01:13.966 align:left position:10% line:83% size:80% that is now dominant in this country. Where are we? 01:13.966 --> 01:15.766 align:left position:10% line:77% size:80% KATELYN JETELINA, University of Texas Health Science Center: You know, 01:15.766 --> 01:16.966 align:left position:10% line:89% size:80% it's a really good question. 01:19.500 --> 01:22.633 align:left position:10% line:71% size:80% I think we're somewhere in between a full-blown emergency, like we saw in the beginning of 2020, 01:24.666 --> 01:28.400 align:left position:10% line:77% size:80% and somewhere before an endemic. We're just not at a state where we know what 01:30.366 --> 01:32.500 align:left position:10% line:77% size:80% this virus is going to do. And this virus is not being very predictable. 01:33.933 --> 01:37.800 align:left position:10% line:83% size:80% Like you said, all metrics are nosediving right now. And that's 01:37.800 --> 01:41.766 align:left position:10% line:77% size:80% good news. We expect that to happen with spring because of warmer weather, 01:41.766 --> 01:46.733 align:left position:10% line:77% size:80% less holiday gatherings. But COVID continues to do its COVID thing and continues to mutate. 01:48.666 --> 01:53.300 align:left position:10% line:77% size:80% It's what viruses do to survive. And we're paying specific attention to XBB offshoots, 01:55.400 --> 02:00.300 align:left position:20% line:71% size:70% one in India and one in the U.K. That is causing a little disruption and some smaller waves. 02:02.300 --> 02:05.733 align:left position:10% line:77% size:80% And so this does have the potential to disrupt a quiet spring in the U.S., 02:05.733 --> 02:10.733 align:left position:10% line:77% size:80% but it's still too early to know for sure, given our complex immunity landscape. 02:12.166 --> 02:14.233 align:left position:10% line:83% size:80% WILLIAM BRANGHAM: Speaking of that immunity landscape, 02:14.233 --> 02:18.033 align:left position:10% line:77% size:80% it's been about six to seven months since the bivalent boosters became available, 02:18.033 --> 02:23.033 align:left position:10% line:77% size:80% which is plenty of time for a lot of people to have lost some of their protection. 02:24.900 --> 02:28.400 align:left position:10% line:77% size:80% You wrote about this today. Is there good evidence for a spring booster? 02:30.366 --> 02:33.500 align:left position:10% line:77% size:80% KATELYN JETELINA: I think it depends on what you define as good evidence. 02:36.100 --> 02:39.433 align:left position:10% line:71% size:80% It's really difficult for us to know how much each booster helps or does not help and incrementally, 02:42.533 --> 02:47.533 align:left position:20% line:71% size:70% and get a grip on it prospectively. And so what we know for sure is that protection is 02:49.833 --> 02:54.800 align:left position:10% line:77% size:80% robust for younger and healthier people, keeping them out of the hospital, which is great news. 02:56.733 --> 03:00.300 align:left position:20% line:71% size:70% The concern is for immunocompromised and older adults with comorbidities. And this 03:02.133 --> 03:05.333 align:left position:10% line:77% size:80% is because their immune systems are just not as strong. And it's being -- they're 03:05.333 --> 03:09.233 align:left position:10% line:77% size:80% being pulled in multiple directions. And so this is a group where we really 03:09.233 --> 03:13.733 align:left position:10% line:77% size:80% want to avoid infection in order to prevent hospitalization and death. 03:13.733 --> 03:16.733 align:left position:10% line:83% size:80% And we know these antibodies, like you say, 03:16.733 --> 03:21.400 align:left position:10% line:77% size:80% that prevent infection wane pretty quickly and only last about six months. 03:21.400 --> 03:24.700 align:left position:10% line:83% size:80% WILLIAM BRANGHAM: And elderly Americans, 65 and older, 03:24.700 --> 03:28.966 align:left position:10% line:77% size:80% those are increasingly the people who are still dying of COVID. Isn't that right? 03:28.966 --> 03:31.300 align:left position:20% line:83% size:70% KATELYN JETELINA: That is correct. 03:31.300 --> 03:36.300 align:left position:10% line:77% size:80% I think the last statistics was about 90 percent of deaths are among those over 65 years old; 03:38.733 --> 03:43.500 align:left position:10% line:77% size:80% 96 percent of hospitalizations are among old adults, older adults, 03:43.500 --> 03:48.500 align:left position:10% line:77% size:80% with at least one comorbidity, and because, again, their immune systems are just taxed. 03:50.466 --> 03:54.366 align:left position:10% line:77% size:80% I think the good news is that very few people are in the hospital today who are 03:56.400 --> 03:59.700 align:left position:10% line:77% size:80% up to date on vaccines. So, the vaccines are working. The essential question is, 04:01.200 --> 04:03.633 align:left position:10% line:83% size:80% is this going to change in time? And what do we do proactively? 04:03.633 --> 04:06.166 align:left position:20% line:83% size:70% WILLIAM BRANGHAM: I want to touch on long COVID, 04:06.166 --> 04:10.200 align:left position:10% line:77% size:80% this still mysterious ailment that so many people are suffering from. 04:10.200 --> 04:13.666 align:left position:10% line:83% size:80% What are we learning about who is getting it and why? 04:13.666 --> 04:18.666 align:left position:10% line:77% size:80% KATELYN JETELINA: You're right. There's millions of Americans right now debilitated, 04:20.133 --> 04:22.500 align:left position:10% line:83% size:80% out of work, suffering, with very few treatment options. 04:22.500 --> 04:27.500 align:left position:10% line:77% size:80% We are starting to get a better grip on what causes COVID. It seems to be several factors, 04:28.666 --> 04:31.500 align:left position:20% line:83% size:70% like, for example, a lingering virus or 04:34.066 --> 04:37.333 align:left position:10% line:71% size:80% people harbor the virus in their tissue, which can create damage. I know that other people get long 04:39.233 --> 04:43.566 align:left position:10% line:77% size:80% COVID driven by the immune system. Autoantibodies just start attacking the body itself. 04:45.466 --> 04:50.100 align:left position:10% line:77% size:80% And then there's also just immune dysregulation, that, even if someone clears the virus, 04:52.400 --> 04:55.700 align:left position:10% line:71% size:80% the immune system is off-balance, and so other dormant viruses reactivate and drive chronic 04:57.666 --> 05:02.033 align:left position:20% line:71% size:70% symptoms. So, long COVID, we're learning, is really an umbrella term for several causes. 05:02.033 --> 05:07.033 align:left position:20% line:71% size:70% And this is important to know because it'll allow us to understand how we can target treatments. 05:08.466 --> 05:10.833 align:left position:10% line:83% size:80% WILLIAM BRANGHAM: And, lastly, in the few seconds we have left, 05:10.833 --> 05:14.733 align:left position:10% line:77% size:80% on those treatments, there are some that show some promise on long COVID? 05:14.733 --> 05:16.966 align:left position:10% line:89% size:80% KATELYN JETELINA: There are. 05:16.966 --> 05:19.433 align:left position:10% line:83% size:80% There's about 300 clinical trials right now, 05:19.433 --> 05:24.433 align:left position:10% line:77% size:80% and the results are starting to trickle in. For example, we see metformin, which is a 05:26.866 --> 05:29.600 align:left position:10% line:71% size:80% very cheap drug. It reduces long COVID about 40 percent. Paxlovid reduces it a bit as well, 05:31.500 --> 05:35.300 align:left position:10% line:77% size:80% maybe about 25 percent. So there is good news on the horizon. But we need more answers. 05:37.200 --> 05:38.500 align:left position:10% line:77% size:80% WILLIAM BRANGHAM: Katelyn Jetelina, thank you so much for being here. 05:38.500 --> 05:40.033 align:left position:20% line:83% size:70% KATELYN JETELINA: Thanks for having me.