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Direct air capture has been increasingly proposed as a necessary complement to rapid greenhouse gas emissions reductions, yet climate mitigation resources are limited and investment decisions involve trade-offs. Existing studies have largely evaluated the net climate impacts or technoeconomics of direct air capture in isolation, leaving unclear how investments in direct air capture compare to alternative mitigation strategies when both climate and public health outcomes are considered. Here, we use established grid models to quantify the regional climate and health opportunity costs of allocating capital to direct air capture rather than to renewable electricity generation. Using cost-equivalent deployment scenarios across 22 U.S. grid regions from 2020 through 2050, we compare direct air capture to utility-scale wind and solar under multiple grid and technology scenarios. We find that renewable energy deployment yields greater combined climate and public health benefits than direct air capture across nearly all scenarios and regions, with direct air capture approaching cost-effectiveness only under highly optimistic assumptions about future technological breakthroughs.

Published May 4, 2026

Kashtan, Y., Pendleton, J., Sousa, B., Willis, M. D., Michanowicz, D. R., Shonkoff, S. B. C., & Buonocore, J. J. (2026). Direct air capture has substantial health and climate opportunity costs. Communications Sustainability 2026 1:1, 1(1), 67-. https://doi.org/10.1038/s44458-026-00068-0

Background: Air pollution is increasingly implicated in cerebrovascular disease through mechanisms of systemic inflammation, endothelial dysfunction, and neurovascular injury. Although long-term exposure to particulate matter contributes to stroke risk, the impact of short-term fluctuations, particularly during extreme pollution events such as wildfires, on stroke severity and etiology remains poorly defined.
Methods: We conducted a retrospective study of adults with imaging-confirmed strokes admitted to a single center in the mid-Atlantic United States from 2022 to 2023. Daily particulate matter 2.5 (PM2.5) and ozone levels from Environmental Protection Agency monitors were assigned based on hospital presentation date and evaluated as both categorical (above vs. below median) and continuous exposures. Outcomes included daily stroke incidence, initial National Institutes of Health Stroke Scale (NIHSS), change in modified Rankin Scale (ΔmRS), length of stay, and stroke etiology. Associations were assessed using multivariable logistic and linear regression models adjusted for age, sex, and race, with PM2.5 modeled continuously. Lagged exposures of 1–2 days were also examined.
Results: Among 1,184 patients, presentation on high PM2.5 days was associated with greater stroke severity, including higher initial NIHSS (10.0 vs. 8.25; p = 0.004) and greater functional decline by discharge (ΔmRS 2.6 vs. 2.15; p = 0.001). In multivariable linear regression adjusting for age, sex, race, smoking status, and stroke etiology, higher PM2.5 levels remained independently associated with increased stroke severity, with each 1 µg/m³ increase corresponding to higher NIHSS (β = 0.047, 95% CI 0.027–0.067; p < 0.001). Hemorrhagic stroke was more frequent on high PM2.5 days (p = 0.027), while overall ischemic stroke incidence did not differ. LAA stroke was more common during high PM2.5 exposure (adjusted OR 1.45; 95% CI 1.08–1.86). Lagged analyses demonstrated significant associations at two days for ischemic stroke incidence, NIHSS, and ΔmRS (all p < 0.05). Ozone was not associated with stroke outcomes. Conclusion: Short-term PM2.5 elevations, particularly during wildfire smoke episodes, were independently associated with increased stroke severity and large-artery atherosclerotic ischemic stroke, with effects persisting up to 48 hours after exposure.

Published Apr 27, 2026

Garfinkel, L. P., Cerceo, E., Jaffri, Z., Qureshi, H., Piotrowski, K., Anand, A., Jovin, M., Penckofer, M., Hunter, K., Christman, Z., Thon, O. R., Thon, J. M., Schumacher, H., Jovin, T. G., & Hanafy, K. A. (2026). Air pollution and stroke: A two-year analysis linking short-term particulate matter 2.5 exposure to stroke severity and etiology. Journal of Stroke and Cerebrovascular Diseases, 35, 108648. https://doi.org/10.1016/j.jstrokecerebrovasdis.2026.108648

Published Mar 20, 2026

Honan, J. K. (2026). On why environmental justice must continue to guide public health research. Journal of Exposure Science & Environmental Epidemiology 2026, 1–3. https://doi.org/10.1038/s41370-026-00865-8

Background
Increasing evidence suggests that climate change, along with its cascading impacts on ecosystems, societies, and communities, has significant effects on both physical and mental health. However, less is known about how exposure to excessive heat early in life may influence the development of foundational skills that shape lifelong developmental trajectories. This study examined the effects of ambient heat on early childhood development across six countries, using geographic and time-stamped data on child development and ambient temperature.

Methods
Our primary outcome is the Early Childhood Development Index. We used linear probability models with geographic and seasonality fixed effects to account for baseline climatic conditions, as well as other individual and contextual covariates to address potential selection bias. The sample comprised 19,607 children aged three and four from Georgia, The Gambia, Madagascar, Malawi, Sierra Leone, and the State of Palestine, all participants in Multiple Indicators Cluster Surveys collected between 2017 and 2020. We merged these data with temperature data from the ERA5-Land Monthly Aggregated Climate Dataset, calculating the mean monthly maximum temperature children experienced from birth to interview.

Results
We found that children exposed to average maximum temperatures above 32°C were less likely to be developmentally on track compared to those exposed to cooler temperatures, even after accounting for baseline average climatic conditions and other covariates. Domain-specific models indicate that these effects were most pronounced in literacy and numeracy skills. Subgroup analyses revealed that the negative impacts were particularly severe for children in economically disadvantaged households and urban areas, and for those lacking access to adequate water and sanitation.

Conclusions
This study highlights the potential impact of excessive heat on early childhood development, emphasizing the need for policies and interventions that enhance preparedness, adaptation, and resilience to support human development in an rapidly warming world.

Published Dec 8, 2025

Cuartas, J., Balza, L. H., Andr´, A., Camacho, A., & As G ´ Omez-Parra, N. (2025). Ambient heat and early childhood development: a cross-national analysis. Journal of Child Psychology and Psychiatry. https://doi.org/10.1111/JCPP.70081

Background
Climate change harms human health and wellbeing, and climate solutions often have public health benefits. Previous research has shown how news media engages and shapes public understanding of climate change, yet few studies have examined how news media reports on climate change as a public health issue. Understanding how and how much news media reports on the public health implications of climate change can shed light on public engagement in climate change, which has been deemed a public health crisis.
Methods
Using online databases, articles were collected from five mainstream newspapers and one news agency for each of the three countries—China, India, and the USA—between Jan 1, 2012, and Dec 31, 2023. The headline or lead paragraph of all articles were searched by newspaper and within years using both climate change and public health keywords. Articles having at least one keyword from both sets (ie, climate change and public health) were included in the study, resulting in a total of 5173 articles: 1473 from China, 1487 from India, and 2213 from the USA. A detailed content analysis was then done on a randomly selected 20% of the 5173 public health-related climate change articles, which provided a dataset of 1027 articles for analysis: 294 from China, 295 from India, and 438 from the USA. Articles were then thoroughly reviewed and discarded if they were not substantively focused on climate change and public health or were non-articles (eg, obituaries, sports sections, content summaries, or letters to the editors), providing a final dataset of 3234 public health-focused climate change articles for in-depth analysis: 50 from China, 137 from India, and 137 from the USA. Each article was then coded for four sets of variables: public health impacts; vulnerable populations; solutions; and health experts as sources.
Findings
Across all countries and all years, 64 073 (0·3%) of 22 562 365 articles had a climate change keyword in their lead paragraph or title, although this varied significantly by country (p<0·0001) and time (p<0·0001). 5173 (8·1%) of 64 073 articles also included public health keywords, which also varied by country (p<0·0001). Among the randomly sampled 20% of articles (1025 of 5173), 3234 (31·5%) were determined to be public health-focused climate change articles. Thus, 1626 (<0·1%) of 22 562 365 articles in the total newshole (all articles published in these countries over the past decade) focused on the public health relevance of climate change, a proportion that varied by country (p<0·0001) and time (p<0·0001). 321 (99·1%) of 324 public health-focused articles reported at least one health impact, most commonly general public health (252 [77·8%] articles); extreme heat (166 [51·2%] articles); extreme weather (142 [43·8%] articles); poor air quality (115 [35·5%] articles); and food insecurity (80 [24·7%] articles). Rates of reporting on certain impacts varied by country and year, although most did not. 78 [54·9%] of 324 articles that were substantively about the public health relevance of climate change reported on at least one vulnerable group, most commonly by region (132 [40·7%] articles); demographic group (77 [23·8%] articles); socioeconomic group (36 [11·1%] articles); social determinants of health (29 [9·0%] articles); and occupational risk (27 [8·3%] articles). The prevalence of reporting on each type of vulnerable group varied by country (except for socioeconomic and ability groups), but not by year. 157 (48·5%) of 324 articles that were substantively about the public health relevance of climate change reported at least one solution, most commonly political action (79 [24·4%] articles); energy (69 [21·2%] articles); transportation (29 [9·0%] articles); consumption (25 [7·7%] articles); and cities or communities (25 [7·7%] articles). The rate of reporting on solutions varied by country, apart from cities or communities and buildings, and only political action varied by year. 199 (36·7%) of 324 of the articles substantively about the public health relevance of climate change reported at least one expert source, including organisational sources (73 [22·5%] articles) and individual sources (67 [20·7%] articles). Interpretation By examining news media discourse surrounding climate change in health contexts, this study provides an assessment of how climate change is being presented as a public health issue to the global public. This study provides an assessment of how and how frequently the public health implications of climate change are being reported to the public by newspapers in the world’s three leading carbon-emitting nations. Although we found cross-national differences in the prevalence and type of reporting, the most striking finding is the relative absence of such reporting in all three countries, although it has increased in the past few years. This finding aligns with previous research, which notes that the public health frame has historically been under-represented in climate change news. Our findings also highlight broader structural challenges in climate reporting, including inadequate engagement with expert sources who can speak to health-related consequences and insufficient journalistic focus on victims and vulnerable populations. These deficiencies might hinder public understanding and reduce the sense of urgency surrounding climate-related public health risks, despite the scientific consensus about their severity.

Published Nov 1, 2025

Weathers, M. R., Ganapathy, D., Mosher, M. M., Myers, T., Gour, N., Jiang, M., Ye, Q., Shen, F., Kotcher, J., & Maibach, E. W. (2025). The evolution of news coverage about climate change as a health issue: a decadal analysis in China, India, and the USA. The Lancet. Planetary Health, 9(11), 101335. https://doi.org/10.1016/j.lanplh.2025.101335

Wildfire activity has increased in the US and is projected to accelerate under future climate change. However, our understanding of the impacts of climate change on wildfire activity, smoke, and health outcomes remains highly uncertain, due to the difficulty of modeling the causal chain from climate to wildfire to air pollution and health. Here we quantify the mortality burden in the US due to wildfire smoke fine particulate matter (PM2.5) under climate change. We construct an ensemble of statistical and machine learning models that link climate to wildfire smoke PM2.5, and empirically estimate smoke PM2.5-mortality relationships using data on all recorded deaths in the US. We project that smoke PM2.5 could result in 71,420 excess deaths (95% CI: 34,930 - 98,430) per year by 2050 under a high warming scenario (SSP3-7.0) – a 73% increase relative to estimated 2011-34 2020 average annual excess deaths from smoke. Cumulative excess deaths from smoke PM2.5 could reach 1.9 million between 2026-2055. We find evidence for mortality impacts of smoke PM2.5 that last up to three years after exposure. When monetized, climate-driven smoke deaths result in economic damages that exceed existing estimates of climate-driven damages from all other causes combined in the US. Our research suggests that the health impacts of climate-driven wildfire smoke could be among the most important and costly consequences of a warming climate in the US.

Published Sep 18, 2025

Qiu, M., Li, J., Gould, C. F., Jing, R., Kelp, M., Childs, M. L., Wen, J., Xie, Y., Lin, M., Kiang, M. v., Heft-Neal, S., Diffenbaugh, N. S., & Burke, M. (2025). Wildfire smoke exposure and mortality burden in the US under climate change. Nature 2025, 1–3. https://doi.org/10.1038/s41586-025-09611-w

The United States has one of the world’s largest oil and gas (O&G) industries, yet the health impacts and inequities from pollutants produced along the O&G lifecycle remain poorly characterized. Here, we model the contribution of major lifecycle stages (upstream, midstream, downstream, and end-use) to air pollution and estimate the associated chronic health outcomes and racial-ethnic disparities across the contiguous US in 2017. We estimate lifecycle annual burdens of 91,000 premature deaths attributable to fine particles (PM2.5), nitrogen dioxide (NO2), and ozone, 10,350 PM2.5-attributable preterm births, 216,000 incidences of NO2-attributable childhood-onset asthma, and 1610 lifetime cancers attributable to hazardous air pollutants (HAPs). Racial-ethnic minorities experience the greatest disparities in exposure and health burdens across almost all lifecycle stages. The greatest absolute disparities occur for Black and Asian populations from PM2.5 and ozone, and the Asian population from NO2 and HAPs. Relative inequities are most extreme from downstream activities, especially in Louisiana and Texas.

Published Aug 22, 2025

Vohra, K., Marais, E. A., Achakulwisut, P., Anenberg, S., & Harkins, C. (2025). The health burden and racial-ethnic disparities of air pollution from the major oil and gas lifecycle stages in the United States. Science Advances , 11(34), 2241. https://doi.org/10.1126/sciadv.adu2241

Rationale: Abrupt air quality improvements have followed the closure or dramatic emission control of large air pollution sources. These “natural experiments” provide ideal opportunities to assess the real-world health benefits of air quality improvements. The shutdown of the Shenango coking plant, a significant fossil-fuel pollution source located on an island in the Ohio River near Pittsburgh, PA, presented such an opportunity to test for changes in respiratory health in the local community following the closure. Objectives: To identify and quantify the immediate and/or longer-term changes in respiratory hospitalizations and emergency department (ED) visits among the population residing near the Shenango coke plant at the time of its closure. Methods: We acquired data for respiratory hospitalizations and ED visit counts by residents living in zip codes surrounding the plant, as well as at comparison control sites, three years before and after the shutdown date. The immediate and longer-term changes of respiratory health outcomes were tested with an interrupted time series model, and compared with external control sites and internal control outcomes. Measurements and Main Results: We found the closure of the Shenango plant was associated with an immediate 20.5% (95% CI: 12.8%-27.6%) decrease for weekly respiratory ED visits, and an immediate 41.2% (95% CI: 14.4%-59.9%) decrease in pediatric asthma ED visits, followed by an additional 4% per month longer-term downward trend. Longer-term reductions, as compared to pre-closure trends, were also observed for chronic obstructive pulmonary disease hospitalizations. Conclusions: Our study provides strong confirmation that reductions in fossil-fuel-related air pollution produce both short and longer-term respiratory health benefits.

Published Jul 21, 2025

Yu, W., & Thurston, G. D. (2025). Reductions in Respiratory Hospital Visits after a Coal Coking Plant Closure: A Natural Experiment. Https://Doi.Org/10.1164/Rccm.202410-2005OC. https://doi.org/10.1164/RCCM.202410-2005OC

Background: Heat exposure poses a substantial public health threat. Increasing greenness has been suggested as a mitigation strategy due to its cooling effect and potential to modify the heat–mortality association. This study aimed to comprehensively estimate the effects of increased greenness on heat-related deaths.
Methods: We applied a multistage meta-analytical approach to estimate the potential reduction in global heat-related deaths by increasing greenness in the warm season in 2000–19 in 11 534 urban areas. We used the enhanced vegetation index (EVI) to indicate greenness and a random forest model to predict daily temperatures in counterfactual EVI scenarios. In the factual EVI scenarios, daily mortality and weather variables from 830 locations in 53 countries were extracted from the Multi-Country Multi-City Collaborative Research Network and used to assess heat–mortality associations. These associations were then extrapolated to each urban area under both factual and counterfactual EVI scenarios based on meta-regression models.
Findings: We estimated that EVI increased by 10% would decrease the global population-weighted warm-season mean temperature by 0·08°C, EVI increased by 20% would decrease temperature by 0·14°C, and EVI increased by 30% would decrease temperature by 0·19°C. In the factual scenario, 3 153225 (2·48%) of 127 179 341 total deaths could be attributed to heat exposure. The attributable fraction of heat-related deaths (as a fraction of total deaths) in 2000–19 would decrease by 0·67 (95% empirical CI 0·53–0·82) percentage points in the 10% scenario, 0·80 (0·63–0·97) percentage points in the 20% scenario, and 0·91 (0·72–1·10) percentage points in the 30% scenario, compared with the factual scenario. South Europe was modelled to have the largest decrease in attributable fraction of heat-related mortality.
Interpretation: This modelling study suggests that increased greenness could substantially reduce the heat-related mortality burden. Preserving and expanding greenness might be potential strategies to lower ambient temperature and reduce the health impacts of heat exposure.

Published Jul 1, 2025

Wu, Y., Wen, B., Ye, T., Huang, W., Liu, Y., Guo, Y., Li, S., Gasparrini, A., Wu, Y., Wen, B., Ye, T., Huang, W., Liu, Y., Gasparrini, A., Sera, F., Tong, S., Lavigne, E., Roye, D., Achilleos, S., … Li, S. (2025). Estimating the urban heat-related mortality burden due to greenness: a global modelling study. The Lancet Planetary Health, 9, 101235. https://doi.org/10.1016/S2542-5196(25)00062-2

Background
The associations of PM2.5 mass and various adverse health outcomes have been widely investigated. However, fewer studies focused on the potential health impacts of PM2.5 components, especially for dementia and Alzheimer’s diseases (AD).
Methods
We constructed a nationwide population-based open cohort study among Medicare beneficiaries aged 65 or older during 2000–2018. This dataset was linked with the predicted levels of 15 PM2.5 components, including 5 major mass contributors (EC, OC, NH4+, NO3–, SO42-) and 10 trace elements (Br, Ca, Cu, Fe, K, Ni, Pb, Si, V, Zn) across contiguous U.S. territory. Data were aggregated by ZIP code, calendar year and individual level demographics. Two mixture analysis methods, weighted quantile sum regression (WQS) and quantile g-computation (qgcomp), were used with quasi-Poisson models to analyze the health effects of the total mixture of PM2.5 components on dementia and AD, as well as the relative contribution of individual components.
Results
Exposure to PM2.5 components over the previous 5 years was significantly associated with increased risks of both dementia and AD, with stronger associations observed for AD. SO42-, OC, Cu were identified as major contributors to the combined positive association of the mixture from both WQS and qgcomp models.
Conclusion
We found positive associations between the 15 PM2.5 components and the incidence of dementia and AD. Our findings suggest that reducing PM2.5 emissions from traffic and fossil fuel combustion could help mitigate the growing burden of dementia and Alzheimer’s disease.

Published Jun 1, 2025

Zhang, H., Wang, Y., Li, H., Zhu, Q., Ma, T., Liu, Y., & Steenland, K. (2025). The role of the components of PM2.5 in the incidence of Alzheimer’s disease and related disorders. Environment International, 200(7), 109539. https://doi.org/10.1016/j.envint.2025.109539