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What Angelenos can learn from the Maui Wildfire Exposure health survey.

After a week and a half of unimaginable destruction, Los Angeles is at last beginning to look toward its recovery from the Palisades and Eaton fires. Traversing that stage will take years, not only because of the significant economic and political implications of the fires, but also because of what they will mean for the health and well-being of the thousands of residents who live in or near the burn zones.
Los Angeles isn’t navigating the crisis alone, though. In the wake of the deadly 2023 Maui wildfire, researchers at the University of Hawaii launched the Maui Wildfire Exposure Study, a multi-year effort to track the disaster’s physical and mental health impacts on residents. Though the demographics of West Maui differ greatly from those of Pacific Palisades or Altadena — two of the most affluent zip codes in the country — California public officials, medical professionals, and wildfire survivors can still learn from the ongoing work of the MauiWES.
To that end, I spoke yesterday with Ruben Juarez, one of the study’s lead researchers. Our conversation has been edited and condensed for clarity.
What is the Maui Wildfire Exposure Study?
The Maui Wildfire Exposure Study follows a comprehensive cohort of people affected by the 2023 fires. We collected data six months after the fire, and typically, we’re looking for the long-term effects. For 60% of the individuals who came to the study, it was their first health check since the fires.
It is a pretty interesting population: They’re underserved and typically lack access to health care. We found three main trends: The first was mental and physical health issues. Access to care was a big issue in Hawaii, and I’m hoping that’s not going to be the case in California, but it definitely was here. Housing, job, and food insecurity were other big issues, as were the social impacts.
What have you learned about the mental and physical health of people exposed to the Maui wildfires?
Pre-wildfire we knew that the rate of depression symptoms in the Maui population was about 30%. Post-wildfire, we’re seeing more like 52%, so more than one in two participants in the study were showing depression symptoms. Low self-esteem was another issue. Something that was really worrisome was suicidal ideation: Pre-wildfire, it was less than 1%; post-wildfire, at least for the people in the cohort, it was about 4% of the population. That’s more than a four-time increase.
The second issue is physical health: Nearly half of the participants reported worse health since the fires. We saw respiratory issues, such as coughing, wheezing, difficulty breathing, and also skin and eye irritation, fatigue, and weakness. We’re seeing that about 74% of the participants are facing a heightened risk of cardiovascular disease. We also performed a lung check using spirometry and oscillometry breathing. Based on the spirometry measure, 60% of participants may have poor lung health, and 40% may have mild to severe lung obstruction. We believe this is associated with the exposure to ash and the personal protective equipment individuals wore when they returned to the fire site.
We’ve written a lot about the dangers of wildfire smoke at Heatmap, but I think people are less aware of the risks of wildfire ash. Could you say more?
It’s really toxic. People need to take care of themselves. There are the harmful substances you’d expect in ash: lead, arsenic, asbestos — those are poisons.
Why was our population in Lahaina affected by this? Because they went back to the burned homes and did not wear any PPE. To me, that was crazy. The county said that wearing PPE was a voluntary decision, and that was a mistake. And PPE is not just a mask: you really need eye protection, gloves, footwear, and long clothing, because the ash is really toxic.
Even in small amounts, the poisons in ash can harm the lungs and the heart, and there are long-term effects, including cancer, which is one of the things we’re trying to prevent. In the case of Hawaii, for the initial batch of 767 individuals in the study, we did a heavy metal analysis — a comprehensive panel of 32 of the most expected heavy metals. We already knew that five of the most common heavy metals were found in ash present in Hawaii: arsenic, lead, antimony, copper, and cobalt. We learned that 20% of participants affected by the fires in our cohort were showing an elevated level of at least one of these heavy metals, which is not something that you would expect. We don’t want these things in our bodies at any level. People must know that these things are harmful and they need to take care of their health.
And that’s all just from people returning to their homes and sifting through the ash? Or can ash blow into an area that didn’t burn and affect people that way, as well?
Many participants were uneducated about the harmful effects ash has, especially when it has contact with your skin. But you should also avoid breathing or swallowing soot and ash at any cost. The effects were seen in individuals who had direct contact at a site or were indirectly exposed through smoke or blowing winds — but the majority was direct contact.
That’s so scary.
Not everything was bad news. We found some exciting ways to potentially address some of these issues. For instance, resiliency was at the top of the minds of many participants in the study: “How can I be resilient? How can I survive this catastrophe?”
We also found that lower-income individuals trust and use community organizations more than government services, like federal, state, and county agencies. This information could potentially help us intervene, especially when considering underserved populations like immigrant populations. They just don’t trust the government. Addressing issues through community organizations on the ground was extremely helpful because it allowed people to access the services they needed.
Another thing that we noticed that was super helpful was that people who maintain strong relationships with family and friends experience better health outcomes. Social isolation after a wildfire was really bad, especially for mental health problems. Individuals who are more connected with their friends, family, or are doing something in their community volunteering tend to have better health outcomes, particularly in terms of depression.
How close do you need to have been to a wildfire to experience these effects?
Individuals whose homes were on the perimeter of the burn area experienced more physical symptoms, worse quality of life, and worse mental health. But that doesn’t mean that if your house doesn’t burn, you will not experience any of the symptoms. Even if you didn’t go to a contaminated site, there was all the smoke over the city, and you’re exposed to that. Individuals who are not directly affected can be indirectly affected — at a lower rate, of course, as you’d expect.
Many of the mental health impacts you described were related to things like housing, job, or food insecurity, as well as the lack of access to healthcare resources following a fire. Would you expect mental health impacts to not be as bad in L.A., since it was a more affluent area that burned?
Yes. In fact, coincidentally, one of our scientific advisory board members is a resident of L.A., and he’s been saying that he doesn’t expect the health effects to be as bad in L.A. as they were in Maui because the shortage of doctors is not as big. Also, the type of demographic that is being affected is more affluent.
Having said that, in Hawaii, we had the advantage of winds that blew smoke and soot away. I was reading reports that in L.A., there were no winds, and the smoke was just staying there. In that case, the effects in terms of pulmonary health won’t just be the people directly affected, but the whole city.
What would you want emergency managers and medical professionals in Los Angeles to know about your study as they address the impacts of these fires?
First, we must emphasize to people that this is not a forest fire; houses are burning, full of toxic substances. People need to know that if they return to the burn zone, they need to take care of their health and ensure they are wearing PPE. We need to conduct many communication campaigns around this.
The second thing is, don’t underestimate the power of community and community organizations, especially in L.A., where there are many immigrant populations. Community organizations should be used to provide information because people don’t trust the government or FEMA officials.
The third thing I would emphasize is that after a disaster, when people struggle with housing, job, and food insecurity, their health becomes a lower priority. This is understandable, but unfortunately, neglecting your health at this time can worsen the long-term effects. It’s really important that we emphasize to individuals that even if you don’t have a house or a job right now, you need to take care of your health.
An example of this is in the aftermath of 9/11; years later, more lives have been lost due to exposure to environmental hazards than the disaster itself. If we don’t intervene early on, things can get really bad. That’s what we are trying to do: prevent those long-term effects from happening.
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The data center boom is everywhere you look in U.S. economic and emissions data.
This is an edition of Heatmap Daily, an evening review of the day’s news written by our executive editor. Sign up for it here.
It isn’t exactly a new thought, but I’ve been struck recently by how many trends in America’s economic and environmental data are fundamentally about the data center boom and the return of electricity demand:
First, the Energy Information Administration reported this week that U.S. emissions grew by more than 2% last year, driven by surging electricity demand and an increase in coal-fired generation. What caused that higher power demand? New factories and data centers — as well as record summertime cooling demand.
Second, many of the new factories driving that higher power demand are themselves producing goods that are … let’s say … data center-adjacent. There are the enormous new semiconductor fabs, of course. But Ford and General Motors have also set up new production lines (or repurposed old ones) to manufacture grid-scale batteries to meet power demand.
Third, take a look at the recent U.S. spending on private non-residential construction — in other words, everything American companies are building that is not houses, condos, or apartments.
The construction industry’s spent almost $60 billion on data centers over the past year, which is more than it spent on all other office buildings combined (and more than it spent building warehouses, too). Just a handful of categories — data centers, power plants, electricity infrastructure, and certain kinds of electronics manufacturing — now make up a third of all U.S. private non-residential construction investment. They’ve never made up such a large share of construction spending since data collection began in 2014.
As The New York Times recently noted, the American economy is unusually dependent on the American stock market right now — and the stock market is unusually dependent on artificial intelligence. This week, investors started to balk at the enormous spending hyperscalers are planning to keep building out the AI boom; Alphabet’s shares dropped 8% this week after it boosted its planned 2026 capital expenditure and signaled 2027 will be even bigger. If the data center boom started to slow down in earnest, then more than just that budget will change.
Speaking of which, my colleague Emily Pontecorvo wrote earlier this week about how many businesses are struggling to even estimate their carbon emissions from artificial intelligence. The carbon accounting startup Watershed recently unveiled a new formula to help companies get a sense of their AI-related emissions.
But even that formula is still limited by the amount of data hyperscalers publish — and they don’t publish that much. Google, for instance, is the only AI company that has (laudably) provided estimates of its emissions on a per-prompt basis. Yet no company has published its per-token emissions, or how emissions sync up with particular models or regions.
So Emily asked Google: Why aren’t you — or any other model provider — disclosing this kind of data yet?
The tech company didn’t get back to us until after we’d published Emily’s story. But its response was interesting enough that I wanted to quote some of it here.
The problem is “industry consensus,” Cooper Elsworth, a Google spokesperson, told us. “There is currently very little consensus on how to comprehensively and fairly measure the serving environmental impact of generative AI (such as text generation),” he wrote. “Without standardized, ‘apples-to-apples’ frameworks, it is difficult to compare different providers accurately.”
That’s partly because energy use — and emissions data — can vary from site to site and depend on “custom-built hardware, software compilers, and advanced inference techniques.” And he claimed Google doesn’t always have the measurement hardware in place to provide such specific estimates: “Providing precise, repeatable data requires highly advanced measurement infrastructure,” he said. “For example, software-based energy monitoring tools often suffer from sampling biases. For our study, we had to step away from top-down averages and directly measure actual energy at the physical power supply unit (PSU) level across our deployed fleet. Not all providers have the telemetry or data sets required to benchmark their operations at this level of granularity.”
Read Emily’s story to understand the other reasons why estimating — or even “guesstimating” — AI-related carbon emissions is so challenging.
A conversation with Emma Uridge of the Kansas Health Institute.
This week’s conversation is with Emma Uridge, analyst with the Kansas Health Institute. Uridge spent copious hours analyzing state and local laws on data center development to best understand how policymakers are responding to the potential environmental public health impacts of large AI infrastructure, including power and water. The report, which came out this week, also goes in depth into those health impacts. I reached out to her to discuss what she sees as must-watch territory for our readers on this emerging policy arena.
Our conversation was lightly edited for clarity.
What is actually being done on policy when it comes to data centers — beyond moratoria of course?
So first I’d like to just talk about the point of moratoria. It’s helpful to talk about how these policies emerge in the first place. One area where moratoria are helpful is when a data center is proposed but the county has no approach for how they’d like to potentially regulate them. That’s temporary, most of the time. It lets local governments conduct research on the various impacts and also negotiate community benefits, ones that can mitigate any potential negative impacts — like Lancaster Pennsylvania, which instituted a community benefit agreement that maximized the potential benefits of development while mitigating what large data centers can do. That agreement looked at capping municipal water use at 20,000 gallons per day and requiring 100% clean energy. It had financial penalties for non-compliance. The company also committed $20 million to their local economic development and clean energy fund. There are ways to negotiate with developers.
We also see amendments to existing zoning. Data center proposals are increasingly popping up in rural areas, many of which are unzoned, so there’s no way a county can negotiate unless there’s a moratorium in place.
Other policy solutions include different performance standards or requiring on-site renewable energy, like what Jefferson County, Missouri, looked at. Also setback requirements, mandatory noise buffers, ending by-right zoning.
Where are local governments getting ideas for regulating data centers?
A lot of the technical information comes from developers. That can in cases be seen as a biased source of information. I wouldn’t say there’s a dedicated group providing assistance to local governments when a project is proposed — which is a similar story to wind industry development, where we have only a handful of consultants who provide technical advice. It can be really helpful to get a multi-disciplinary approach to hearing information. It can be helpful to have the utility commission, public health folks, those in academia, as well as the developer.
As of right now, especially in rural areas, local governments have a hard task of balancing pushback while getting the most accurate, evidence-based, neutral information to make decisions. That balance can be contentious.
What is the federal government doing on data center policy? How is the Trump administration approaching it?
A few things there. In the early days, the drive was for AI expansion and to be competitive with foreign adversaries. Now due to the amount of public pushback in red and blue localities and a more cautious approach.
I’m not seeing a lot of actual policy movement at this time.
I know the EPA is looking at the chemicals used in cooling data centers because when that water is cycled through the system, some of it is discharged into the water system, so they’re looking at the Toxic Substances and Control Act for monitoring that.
How much of an impact does this minimal federal role have on industry behavior?
Y’know, this isn’t specific to data centers. This is true for all kinds of large-scale development: there’s a need to require some sort of federal monitoring and regulation.
That’s where I see an emerging role for public health. At the federal level, there could be policy movement towards requiring some sort of environmental monitoring at data centers to make sure they’re operating responsibility. Looking at specific water use relative to water availability and what happens when there’s a time of severe, persistent drought. With air quality too — we’ve seen areas where the grid isn’t as reliable so their diesel generators are kicking on more and affecting air quality for residents.
We’re just not seeing all of that right now. We need corporate disclosure.
What do you see as the most important public health impacts from data center development?
It varies by localities. The most discussed obviously is water usage. One thing I’d note about my conversations with folks enthusiastic around emerging tech is, there are still questions that need to be asked about the capacity of localities to support a data center. Like a small town in Kansas may only be using 40% of their water for their utility needs. If a data center came online, how much of that water goes to the data center?
One area underexplored within the public health discipline is energy poverty and energy security. The ability of a household to meet the needs of everything energy provides in our lives. It’s known we have an aging electric grid but we’re not talking enough about large-scale blackouts when the grid is not sufficient to support some of these new data centers.
Plus more of the week’s big development fights.
1. Laramie County, Wyoming — Meta is fighting the fine it received in the Cheyenne data center water pollution controversy, and the conflict between the tech giant and the city’s small board of public utilities is continuing to spill out into the public.
2. Niagara County, New York — This county just rejected a solar project’s highway work permits in a show of retaliation against the state’s Office of Renewable Energy Siting.
3. Barron County, Wisconsin — The anti-solar protest is the new campaign stop in deep red Wisconsin.
4. Chesapeake, Virginia — A large battery storage project on the Virginia coastline is on the rocks amidst rampant local opposition.
5. Lewis County, West Virginia — West Virginia is now a key battleground in the fight over transmission, as a line spanning all of West Virginia and Maryland — and cutting through Data Center Alley in Virginia — causes compounding consternation.