Friday, October 31, 2025

Conflict, climate change and public health

University of Utah’s Andrew Linke is one of 128 contributors to the 2025 Lancet Countdown on health and climate change. Linke and colleagues focused on climate-related violence and community health.



University of Utah

Extreme drought map 

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Annual number of months of extreme drought on average in 1951-1960(A) and 2024(B).

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Credit: Lancet Countdown 2025




The ninth 2025 global report of The Lancet on health and climate change was released on Oct. 29, 2025. The Lancet Countdown, an annual indicator report led by University College London and produced in strategic partnership with the World Health Organization (WHO), represents the work of 128 leading experts from 71 academic institutions and UN agencies globally. Published ahead of the 30th UN Conference of the Parties (COP), the report provides the most comprehensive assessment to date of the connections between climate change and health, including new metrics which record deaths from extreme heat and wildfire smoke, the coverage of urban blue spaces (rivers, lakes and coastlines), health adaptation funding and individual engagement with health and climate change.

Andrew Linke, associate professor in the School of Environment, Society & Sustainability at the University of Utah, co-authored a section of the study focused on how climate change and health intersect with armed conflict.

“It isn’t that the adverse effects of climate change cause violence directly, it’s that climate change is one part of a constellation of factors that contribute to cycles of political instability with impacts upon the provision of or access to healthcare,” Linke said.

Rural and primarily agricultural economies are the most susceptible to climate change and armed conflict, he continued. Structural conditions, including poverty, inequality and weak governance make for a potentially volatile society. Climate change adds pressure to an already fragile system; extreme heat, drought, flooding and shifting precipitation patterns reduce crop yields and raise food prices while lowering household incomes and disrupting livelihoods. These stressors affect the socioeconomic conditions on which health depends, especially in ethnically divided or areas with scarce resources.

The Lancet Countdown’s principal authors invited Linke to join the project last year after his talk at the Johns Hopkins University Bloomberg School of Public Health campus in Washington, DC. His presentation there focused on local-level population exposure to violent events worldwide, which can damage infrastructure like schools or healthcare facilities and reduce economic opportunities for communities. 

“They thought my perspective could fill in a missing piece of the puzzle. Most of the Lancet Countdown explores how climate change influences population health directly due to things like mosquito-borne illness or extreme heat,” Linke said. “My contribution was more on the indirect effects of armed conflict and political instability amid climate change—what does population health look like with flood-damaged health clinics, disrupted transportation or disease exposure in refugee camps, for example?”

Managing social and economic changes is key to preventing climate-related conflict, the study concluded. Strengthening food systems boosts resilience, which can reduce malnutrition and food insecurity. If extreme weather events disrupt supply chains, ensuring emergency responses help all communities equally can lessen grievances and protect health care workers that often targeted when healthcare is limited.

The report concludes in an optimistic tone: “In a time of growing geopolitical volatility, strengthening multilateral cooperation and ensuring that the transition is not only green but also just might be essential to building peace in a climate-affected world.”

Linke’s piece is panel three in the 2025 Lancet Countdown on health and climate change. Find the full report online.

Adapted from a release by The Lancet.

“State of the climate” 2025: Earth’s vital signs worsen, science shows options for livable future


Potsdam Institute for Climate Impact Research (PIK)





22 of the planet’s 34 vital signs are at record levels, with many of them continuing to trend sharply in the wrong direction. This is the message of the sixth issue of the annual “State of the climate” report. The report was prepared by an international coalition with contribution from the Potsdam Institute for Climate Impact Research (PIK) and led by Oregon State University scientists. Published today in BioScience, it cites global data from the Intergovernmental Panel on Climate Change (IPCC) in proposing “high-impact” strategies.

“The last few years have seen vital signs breaking their records by extraordinary margins, like surface temperature, ocean heat content, sea ice loss and fire-related tree cover loss,” says PIK Director Johan Rockström, a co-author of the report. “The accelerating climate crisis presents a range of deeply interconnected risks to the planet’s essential operating systems – from critical tipping elements such as the ocean current system AMOC, to the integrity of Earth’s living biosphere, to the stability of global water resources. But our report also shows how this unprecedented threat to the Earth system – and society – can be mitigated.”

The authors note that 2024 was the hottest year on record and likely the hottest in at least the last 125,000 years. “Climate mitigation strategies are available, cost-effective and urgently needed, and we can still limit warming if we act boldly and quickly,” said William Ripple, professor at Oregon State University and co-lead author. “But the window is closing. Without effective strategies, we will rapidly encounter escalating risks that threaten to overwhelm systems of peace, governance, and public and ecosystem health.”

The research team reviews high-impact groups of actions involving strategies around different sectors, including energy, nature and the global food system:

Energy: Renewable energy sources such as solar and wind have the potential to supply up to 70 percent of global electricity by 2050, the report notes. A rapid phaseout of fossil fuels would yield one of the largest contributions to climate mitigation. 

Ecosystems: Protecting and restoring ecosystems such as forests, wetlands, mangroves and peatlands could remove or avoid around 10 gigatonnes of carbon dioxide emissions per year by 2050, which is equivalent to roughly 25 percent of current annual emissions, while also supporting biodiversity and water security.

Food systems: Reducing food loss and waste, which currently accounts for roughly 8 to 10 percent of global greenhouse gas emissions, and shifting toward more plant-rich diets can substantially lower emissions. These strategies also promote human health and food security, according to the report.

The report warns that every fraction of a degree of avoided warming matters for human and ecological well-being. Small reductions in temperature rise can significantly reduce the risk from extreme weather, biodiversity loss, food and water insecurity as well as risks posed from crossing major tipping points. The authors emphasise that delaying action will lock in higher costs and more severe impacts, while swift, coordinated measures can yield immediate benefits for communities and ecosystems worldwide.

Detailed map of US air-conditioning usage shows who can beat the heat — and who can’t




University of Kansas




LAWRENCE — As climate change produces ever more heat waves, how many homes in the U.S. lack adequate cooling? Who’s most vulnerable to lethal temperatures, and exactly where do they live?

A researcher at the University of Kansas has produced the most comprehensive and detailed map of air conditioning usage in the United States — data that can improve the understanding of AC access for public health officials, urban planners, emergency managers, economists, energy auditors, providers of social services, private industry and other stakeholders.

The research appears today in the peer-reviewed journal Scientific Data.

“This paper was about developing a nationwide air conditioning dataset,” said lead author Yoonjung Ahn, assistant professor of geography & atmospheric science at KU. “In the past, many studies have tried to estimate air conditioning ownership, but available public datasets were too limited. For example, the American Housing Survey provides data only at broad geographic levels, such as counties or metropolitan areas, and only for surveyed locations. Other sources, like the Energy Information Administration, collect small samples rather than data for the full population.”

Ahn uses spatial modeling, spatial analysis, spatial statistics and big data to research disproportional impacts of environmental hazards, like heat waves.

“This dataset is important for understanding how people experience extreme heat as the climate warms,” she said. “Even though 90% of Americans have some kind of AC, not all systems are equally effective. Portable or evaporative units, for example, don’t cool homes well in humid regions.”

Until now, detailed data on types of AC in use by people across the country hasn’t been available.

“That makes it difficult to assess who’s most vulnerable to heat, especially in rural areas where people may have fewer options to cool off,” Ahn said. “In urban areas, people might go to a library or pool, but in rural areas, people may work outside and come home to hot indoor environments.”

The KU researcher said her dataset could help public health officials and policymakers identify regions that lack adequate cooling and where people might need support programs or energy subsidies.

“It could also inform energy efficiency decisions, helping people choose the most appropriate cooling systems for their climate without unnecessary cost,” she said.

To compile and analyze more detailed information about AC use nationwide, the KU researcher used Dewey’s comprehensive real estate dataset at the household level, combined with variables she’d identified in earlier studies — such as housing type, building age, renovation year, race and ethnicity, historical housing policies and climate data.

Then, to paint a fuller picture of access to air conditioning, Ahn and co-author Christopher Uejio of Florida State University relied on machine-learning algorithms to fill gaps in the data.

“Because the Dewey data had missing information that wasn’t random, I used a random forest algorithm to impute missing values,” she said. “Some variables, like housing type, had too much missing data and were excluded. Then I used another machine learning model, XGBoost, to classify homes into four AC types: central AC, other types like window or portable units, evaporative coolers and none. Using those predictions, I created counts of AC ownership by census tract. XGBoost worked well because it handles both categorical and continuous data, with overall accuracy between 97–99. Accuracy varied by air conditioning type, ranging from 87% to 97%.”

Ahn said she was surprised by some findings.

“Previous studies only focused on metropolitan areas, but my dataset allowed me to compare rural and urban regions,” Ahn said. “There were clear differences. For instance, central and evaporative coolers were more common in rural parts of Oregon, while urban areas had more central and ‘other’ types or no AC at all. Moreover, approximately 20% of households in Florida used other types of air conditioning, while more than 95% of homes in urban areas had central AC.”

The KU researcher also found socioeconomic and demographic differences in the more detailed data, which were impossible to glean from data with less resolution.

“Climate and heating type were the strongest predictors overall, but the proportion of Hispanic residents was an important variable for some AC types, especially evaporative coolers and other types,” Ahn said. “Those units are concentrated in regions like California and New Mexico, which also have high Hispanic populations.”

Ahn said New York City didn’t align well with the model’s predictions, likely due to its unique characteristics compared to other parts of the United States. “The housing stock there is older, and incomes are high, but AC types vary in ways the model couldn’t fully capture,” Ahn said.

She acknowledged limitations in her data, which could motivate follow-up research.

“Some regions have higher missing data rates, which adds uncertainty,” Ahn said. “Metropolitan areas like New York City had especially high missing-ness, making those predictions less reliable. Another limitation is that my dataset represents current conditions, not historical trends. I hope to develop a historical dataset from 1980 onward, the last time the Census Bureau conducted a national AC survey.”

Finally, self-reported data from surveys, such as the American Housing Survey, may not accurately reflect actual usage, Ahn said. For example, people might report on such a survey that they don’t have AC, but they actually use a swamp cooler or portable unit.

In the future, Ahn plans to combine data from multiple sources to compensate for their limitations.

The researcher, who joined KU faculty in 2023, is planning follow-up research to include historical data and to work with students on future projects as her lab grows at KU. The research was supported by the National Academy of Sciences Gulf Research Program (SCON-10000677) and the University of Kansas General Research Fund (2302047).

Datasets are available here.