Oil and gas production is one of the largest emitters of methane, a potent greenhouse gas and a significant contributor of air pollution emissions. While research on methane emissions from oil and gas production has grown rapidly, there is comparatively limited information on the distribution of impacts of this sector on air quality and associated health impacts. Understanding the contribution of air quality and health impacts of oil and gas can be useful for designing mitigation strategies. Here we assess air quality and human health impacts associated with ozone, fine particulate matter, and nitrogen dioxide from the oil and gas sector in the US in 2016, and compare this impact with that of the associated methane emissions. We find that air pollution in 2016 from the oil and gas sector in the US resulted in 410 000 asthma exacerbations, 2200 new cases of childhood asthma and 7500 excess deaths, with $77 billion in total health impacts. NO₂ was the highest contributor to health impacts (37%) followed by ozone (35%), and then PM_2.5 (28%). When monetized, these air quality health impacts of oil and gas production exceeded estimated climate impact costs from methane leakage by a factor of 3. These impacts add to the total life cycle impacts of oil and gas, and represent potential additional health benefits of strategies that reduce consumption of oil and gas. Policies to reduce oil and gas production emissions will lead to additional and significant health benefits from co-pollutant reductions that are not currently quantified or monetized.

Previous studies indicate that pollution exposure can increase risks of adverse birth outcomes, but Black communities are underrepresented in this research, and the potential moderating role of neighborhood context has not been explored. These issues are especially relevant in Louisiana, which has a high proportion of Black residents, an entrenched history of structural racism, the most pounds of toxic industrial emissions annually, and among the nation's highest rates of low birthweight (LBW), preterm birth (PTB), and infant mortality. We investigated whether air pollution and social polarization by race and income (measured via the index of concentration at the extremes [ICE]) were associated with LBW and PTB among Louisiana census tracts (n = 1101) using spatial lag models. Data sources included 2011–2020 birth records, U.S. Census Bureau 2017 demographic data, and 2017 respiratory hazard (RH) from the U.S. Environmental Protection Agency. Both RH and ICE were associated with LBW (z = 4.4, P < 0.0001; z = −27.0, P < 0.0001) and PTB (z = 2.3, P = 0.019; z = −16.7, P < 0.0001), with no interaction. Severely polluted tracts had 25% higher and 36% higher risks of LBW and PTB, respectively, versus unpolluted tracts. On average, 2166 low birthweight and 3583 preterm births annually were attributable to pollution exposure. Tracts with concentrated social deprivation (i.e. low ICE scores) had 53% higher and 34% higher risks of LBW and PTB, respectively, versus intermediate or mixed tracts. On average, 1171 low birthweight and 1739 preterm births annually were attributable to concentrated deprivation. Our ecological study found that a majority of adverse birth outcomes in Louisiana (i.e. 67% of LBW and PTB combined) are linked to air pollution exposure or disadvantage resulting from social polarization. These findings can inform research, policy, and advocacy to improve health equity in marginalized communities.

Climate change, the greatest public health threat of the 21st century, will uniquely affect rural areas that are geographically isolated and experience greater health inequities. This systematic review describes and evaluates interventions to lessen the effects of climate change on human health in the rural United States, including interventions on air pollution, vector ecology, water quality, severe weather, extreme heat, allergens, and water and food supply. Searches were constructed based on the eight domains of the Centers for Disease Control and Prevention (CDC) Framework "Impact of Climate Change on Human Health." Searches were conducted in EBSCO Environment Complete, EBSCO GreenFILE, Embase.com, MEDLINE via PubMed, and Web of Science. Duplicate citations were removed, abstracts were screened for initial inclusion, and full texts were screened for final inclusion. Pertinent data were extracted and synthesized across the eight domains. Article quality was assessed using the Mixed Methods Appraisal Tool. Of 8471 studies screened, 297 were identified for full text review, and a total 49 studies were included in this review. Across the domains, 34 unique interventions addressed health outcomes due to air pollution (n = 8), changes in vector ecology (n = 6), water quality (n = 5), severe weather (n = 3), extreme heat (n = 2) increasing allergens (n = 1), water and food supply (n = 1), and across multiple CDC domains (n = 8). Participatory action research methodology was commonly used and strived to mobilize/empower communities to tackle climate change. Our review identified three randomized controlled trials, with two of these three published in the last five years. While original research on the impact of climate change on health has increased in the past decade, randomized control trials may not be ethical, cost effective, or feasible. There is a need for time-efficient and high-quality scholarship that investigates intervention efficacy and effectiveness for reducing health impacts of climate change upon rural populations.

With the widespread implementation of air pollution mitigation strategies for health and climate policy, there is an emerging interest in accountability studies to validate whether a reduction of air pollution exposure, in fact, produces the human health benefits estimated from past air pollution epidemiology. The closure of a coal coking plant provides an ideal 'natural' experiment opportunity to rigorously evaluate the health benefits of air pollution emissions reductions. In this study, we applied an interrupted time series model to test the hypothesis that the substantial reduction in air pollution induced by the closure of the Shenango, Inc. coke plant in Pittsburgh, PA during January, 2016 was followed by immediate and/or longer-term cumulative local cardiovascular health benefits. We observed a 90% decrease in nearby SO₂ levels, as well as significant reductions in coal-related fine particulate matter constituents (sulfate and arsenic), after the closure. Statistically significant cardiovascular health benefits were documented in the local population, including a 42% immediate drop (95% CI: 33%, 51%) in cardiovascular emergency department (ED) visits from the pre-closure mean. A longer-term downward trend was also observed for overall emergency visits at −0.14 (95% CI: −0.17, −0.11) visits per week rate of decrease after the closure, vs. a rise of 0.17 (95% CI: 0.14, 0.20) visits per week before. Similarly, inpatient cardiovascular hospitalizations per year showed a decrease after closure (−27.97 [95% CI: −46.90, −9.04], as compared with a 5.09 [95% CI: −13.84, 24.02] average increase in cases/year over the prior three years). Our study provides clear evidence that this intervention lowering fossil fuel-associated air pollution benefited public health in both the short and longer term, while also providing validation of the past use of observational air pollution epidemiology effect estimates in policy analyses.

Previous research on the health and air quality impacts of wildfire smoke has largely focused on the impact of smoke on outdoor air quality; however, many people spend a majority of their time indoors. The quality of indoor air on smoke-impacted days is largely unknown. In this analysis, we use publicly available data from an existing large network of low-cost indoor and outdoor fine particulate matter (PM_2.5) monitors to quantify the relationship between indoor and outdoor particulate air quality on smoke-impacted days in 2020 across the western United States (US). We also investigate possible regional and socioeconomic trends in this relationship for regions surrounding six major cities in the western US. We find indoor PM_2.5 concentrations are 82% or 4.2 µg m⁻³ (median across all western US indoor monitors for the year 2020; interquartile range, IQR: 2.0–7.2 µg m⁻³) higher on smoke-impacted days compared to smoke-free days. Indoor/outdoor PM_2.5 ratios show variability by region, particularly on smoke-free days. However, we find the ratio of indoor/outdoor PM_2.5 is less than 1 (i.e. indoor concentrations lower than outdoor) at nearly all indoor-outdoor monitor pairs on smoke-impacted days. Although typically lower than outdoor concentrations on smoke-impacted days, we find that on heavily smoke-impacted days (outdoor PM_2.5 > 55 µg m⁻³), indoor PM_2.5 concentrations can exceed the 35 µg m⁻³ 24 h outdoor standard set by the US Environmental Protection Agency. Further, total daily-mean indoor PM_2.5 concentrations increase by 2.1 µg m⁻³ with every 10 µg m⁻³ increase in daily-mean outdoor PM_2.5. (median of statistically significant linear regression slopes across all western US monitor pairs; IQR: 1.0–4.3 µg m⁻³) on smoke-impacted days. These results show that for indoor environments in the western US included in our analysis, remaining indoors during smoke events is currently an effective, but limited, strategy to reduce PM_2.5 exposure.

U.S. wildfire activity has increased over the past several decades, disrupting the systems and infrastructure that support community health and resilience. As the cumulative burden of wildfire damage is projected to increase, understanding an effective community recovery process is critically important. Through qualitative interviews with leaders of long-term recovery organizations (LTROs), a key component of wildfire recovery, we explored barriers and facilitators to LTROs' ability to support post-wildfire needs among rural communities. Between February-May 2022, we conducted surveys and semi-structured interviews with 18 leaders from six LTROs serving rural communities in Washington, Oregon, and California impacted by wildfires between 2015–2020. The Robert Wood Johnson Foundation's Culture of Health Framework informed the semi-structured interview guide and a priori codebook, to examine LTROs' ability to address post-wildfire community needs from a health equity perspective. Additional codes were added through an inductive approach, and emerging themes were identified. Our findings indicate that LTROs face many barriers in addressing community needs post-wildfire, including the policies governing access to and the slow arrival of recovery resources, the intertwined nature of community economic health and built environment restoration, and the challenge of forming a functional LTRO structure. However, participants also identified facilitators of LTROs' work, including the ability of LTROs and their government partners to adapt policies and procedures, and close collaboration with other community organizations. Factors both internal and external to the community and LTROs' organizational characteristics influence their ability to address community needs, essential to health, post-wildfire. This study's findings suggest the need for policy improvements to promote more equitable recovery resource access, that economic recovery should be a core LTRO function, and that recovery planning should be incorporated into community disaster preparedness activities. Future research should focus on LTROs' role in other contexts and in response to other disasters.

The San Joaquin Valley (SJV) of California has been consistently identified as having one of the highest levels of air pollution in the US. Despite federal and state standards, the SJV has been in non-attainment status for daily PM_2.5 concentrations, extreme non-attainment for 8 hr O₃ levels, and attainment for NO₂. An epidemiological time-stratified case-crossover design was used to estimate the relationship between exposure to NO₂, O₃, PM_2.5 and adverse health outcomes in asthma and upper respiratory infections (URIs). This study compared pollutant exposure effects for each case during limited time intervals and adjusted for seasonality. Elevated concentrations of three criteria outdoor air pollutants are associated with increased asthma and URI-related ED visits and hospitalizations in the SJV for all ages. NO₂ exposure increased the odds of having an ED visit by 2.4% in lag 1 (95% CI: 1.017, 1.031). Lags 2, 3, 4, 5, 7, 9, and 14 were statistically significant. O₃ modestly increased the odds of ED visits by 0.3% (95% CI:1.000, 1.006) after immediate exposure in the warm season. In the cold season, PM_2.5 estimates were significant for all lags except for lags 4 and 12. The two-week lag increased the odds by 28% (95% CI:1.218, 1.345) for ED visits, and 16.5% (95% CI:1.009, 1.345) increased the odds of being hospitalized after cumulative exposure to PM_2.5. Findings suggest that SJV residents experience adverse health effects due to elevated exposure to NO₂ despite attainment of federal and state pollutant standards. This study provides new evidence about the effects of three criteria air pollutants and adverse health outcomes in the SJV region. The air quality regulatory and public health governing bodies should consider revisions to regional pollutant thresholds and local public health strategies to prevent adverse health outcomes during short and prolonged periods of air pollution exposure.

Ammonia has been proposed to replace heavy fuel oil (HFO) in the shipping industry by 2050. When produced with low-carbon electricity, ammonia can reduce greenhouse gas emissions. However, ammonia emissions also contribute to local air pollution via the formation of secondary particulate matter. We estimate the potential ammonia emissions from storage and bunkering operations for shipping in Singapore, a port that accounts for 20% of global bunker fuel sales, and their impacts on air quality and health. Fuel storage and bunkering can increase total gaseous ammonia emissions in Singapore by up to a factor of four and contribute to a 25%–50% increase in ambient PM_2.5 concentration compared to a baseline scenario with HFO, leading to an estimated 210–460 premature mortalities in Singapore (30%–70% higher than the baseline). Proper abatement on storage and bunkering can reduce these emissions and even improve ambient PM_2.5 concentrations compared to the baseline. Overall, while an energy transition from HFO to ammonia in the shipping industry could reduce global greenhouse gas and air pollutant burdens, local policies will be important to avoid negative impacts on the communities living near its supply chain.

The health risks associated with wildfires are expected to increase due to climate change. Children are susceptible to wildfire smoke, but little is known about indoor smoke exposure at childcare facilities. The objective of this analysis was to estimate the effects of outdoor PM_2.5 and wildfire smoke episodes on indoor PM_2.5 at childcare facilities across British Columbia, Canada. We installed low-cost air-quality sensors inside and outside 45 childcare facilities and focused our analysis on operational hours (Monday–Friday, 08:00–18:00) during the 2022 wildfire season (01 August–31 October). Using random-slope random-intercept linear mixed effects regression, we estimated the overall and facility-specific effects of outdoor PM_2.5 on indoor PM_2.5, while accounting for covariates. We examined how wildfire smoke affected this relationship by separately analyzing days with and without wildfire smoke. Average indoor PM_2.5 increased by 235% on wildfire days across facilities. There was a positive relationship between outdoor and indoor PM_2.5 that was not strongly influenced by linear adjustment for meteorological and area-based socio-economic factors. A 1.0 μg m⁻³ increase in outdoor PM_2.5 was associated with a 0.55 μg m⁻³ [95% CI: 0.47, 0.63] increase indoors on non-wildfire smoke days and 0.51 μg m⁻³ [95% CI: 0.44, 0.58] on wildfire-smoke days. Facility-specific regression coefficients of the effect of outdoor PM_2.5 on indoor PM_2.5 was variable between facilities on wildfire (0.18–0.79 μg m⁻³) and non-wildfire days (0.11–1.03 μg m⁻³). Indoor PM_2.5 responded almost immediately to increased outdoor PM_2.5 concentrations. Across facilities, 89% and 93% of the total PM_2.5 infiltration over 60 min occurred within the first 10 min following an increase in outdoor PM_2.5 on non-wildfire and wildfire days, respectively. We found that indoor PM_2.5 in childcare facilities increased with outdoor PM_2.5. This effect varied between facilities and between wildfire-smoke and non-wildfire smoke days. These findings highlight the importance of air quality monitoring at childcare facilities for informed decision-making.

Over 20 years ago a report commissioned by the European Commission identified air quality in schools as a public health priority. Despite this concern, little action was taken in the following two decades. Over the last two years as classrooms were increasingly recognised as hotspots for the transmission of SARS-CoV-2, renewed interest and resources have been made available in response to this issue. Questions remain, however, over how best to achieve safer classroom air. Our analysis assessed a range of in situ interventions to remove particulate matter (PM_2.5) and carbon dioxide from inside a populated classroom. Our approach used saline spray and volunteers' exhalations as our source of PM_2.5 and carbon dioxide to explore the ability of high efficiency particulate air (HEPA) filters, natural ventilation and a recirculating A/C unit to remove these air pollutants which collectively provided a novel set of data. For a total window opening of 1.86 m² for a 181.7 m³ classroom with a HEPA filter with a 703m³/hr clean air delivery rate, our results confirmed that outdoor air was needed to purge the room to reduce carbon dioxide levels that otherwise rose to >1000 ppm in 12 min. Cross and natural ventilation reduced levels of PM_2.5 and carbon dioxide very effectively—in under 5 and 10 min respectively during low levels of outside PM_2.5. We conclude that natural ventilation supplemented with the use of HEPA filters is the most effective way to reliably improve indoor air quality year-round, balancing the need to have easy to enact approaches to reduce the buildup of PM_2.5, airborne viruses and carbon dioxide. These results highlight an important knowledge gap. Without having localised real-time outdoor air pollution sensing, evidence-based decisions cannot be made about how often, and for how long, windows can safely remain open to purge classrooms in times of poor quality outdoor air.

A large number of epidemiological studies have identified air pollution as a major risk to human health. Exposures to the pollutants PM_2.5, NO₂ and O₃ cause cardiovascular and respiratory diseases, cancer and premature mortality. Whilst previous studies have reported demographic inequalities in exposure, with the most deprived and susceptible often being disproportionately exposed to the highest pollutant concentrations, the vast majority of these studies have quantified exposure based only on individuals' place of residence. Here we use anonymised personal data from UK Census 2011, and hourly modelled air pollution concentrations at 0.8 km × 1.4 km spatial resolution in the Central Belt of Scotland, to investigate how inclusion of time spent at place of work or study affects demographic inequalities in exposure. We split the population by sex, ethnic group, age and socio-economic status. Exposure gradients are observed across all demographic characteristics. Air pollution exposures of males are more affected by workplace exposures than females. The White ethnic group has the lowest exposures to NO₂ and PM_2.5, and highest to O₃. Exposures to NO₂ and PM_2.5 tend to peak between the ages of 21 and 30, but those aged 31–50 tend to be most impacted by the inclusion of time spent at workplace in the exposure assessment. People in the two least deprived deciles consistently have the lowest residential-only and combined residential-workplace exposure to NO₂ and PM_2.5, but experience the highest increase in exposure when including workplace. Overall, including workplace exposure results in relatively small change in median exposure but attenuates some of the exposure inequalities associated with ethnicity and socioeconomic status observed in exposure assessments based only on place of residence.

Previous studies indicate that pollution exposure can increase risks of adverse birth outcomes, but Black communities are underrepresented in this research, and the potential moderating role of neighborhood context has not been explored. These issues are especially relevant in Louisiana, which has a high proportion of Black residents, an entrenched history of structural racism, the most pounds of toxic industrial emissions annually, and among the nation's highest rates of low birthweight (LBW), preterm birth (PTB), and infant mortality. We investigated whether air pollution and social polarization by race and income (measured via the index of concentration at the extremes [ICE]) were associated with LBW and PTB among Louisiana census tracts (n = 1101) using spatial lag models. Data sources included 2011–2020 birth records, U.S. Census Bureau 2017 demographic data, and 2017 respiratory hazard (RH) from the U.S. Environmental Protection Agency. Both RH and ICE were associated with LBW (z = 4.4, P < 0.0001; z = −27.0, P < 0.0001) and PTB (z = 2.3, P = 0.019; z = −16.7, P < 0.0001), with no interaction. Severely polluted tracts had 25% higher and 36% higher risks of LBW and PTB, respectively, versus unpolluted tracts. On average, 2166 low birthweight and 3583 preterm births annually were attributable to pollution exposure. Tracts with concentrated social deprivation (i.e. low ICE scores) had 53% higher and 34% higher risks of LBW and PTB, respectively, versus intermediate or mixed tracts. On average, 1171 low birthweight and 1739 preterm births annually were attributable to concentrated deprivation. Our ecological study found that a majority of adverse birth outcomes in Louisiana (i.e. 67% of LBW and PTB combined) are linked to air pollution exposure or disadvantage resulting from social polarization. These findings can inform research, policy, and advocacy to improve health equity in marginalized communities.

Air toxics are an important category of air pollutants that are known to cause adverse health effects, including increased cancer risk. Regulatory efforts at federal, state, and local levels have aimed to decrease air toxics emissions over the past several decades. This study evaluated trends in air toxics cancer risks in Southern California using data from 1998 to 2018. We estimated air toxics cancer risk for each of four iterations of the South Coast Air Quality Management District's Multiple Air Toxics Exposure Study, which included at least one year of measurements at 10 stations and air toxics modeling for each iteration. Cancer risks were calculated using the measured and modeled air toxics concentrations averaged over a one to two year period and multiplied by the corresponding cancer potency factor and combined exposure factor that accounted for multiple exposure pathways and children's increased sensitivity to the health effects of air pollution. We examined temporal trends in overall air toxics cancer risks and evaluated changes in the air toxics species that contributed most to cancer risk in the region. Both measurement and modeling results show that air toxics cancer risk in Southern California decreased by more than 80% between 1998 and 2018, including a decrease of about 50% from 2012 to 2018. Diesel particulate matter was the main risk driver, followed by benzene, 1,3-butadiene, and formaldehyde. We found that more densely populated communities showed larger decreases than sparsely populated areas. The substantial decrease in air toxics levels over this 20-year period points to the success of air pollution policies aimed at addressing air toxics emissions and can inform future policy efforts to further reduce air toxics health impacts.

Exposure to extreme temperatures can trigger a cascade of adverse cardiovascular and respiratory events. However, in Cyprus, a hotspot of climate change in the Eastern Mediterranean region, little is known about the temperature-related cardiorespiratory morbidity risks. We analyzed daily counts of hospital admissions for cardiovascular and respiratory diseases from four general hospitals in three districts in Cyprus from 2000 through 2019. For each district, we fitted time-series quasi-Poisson regression with distributed lag non-linear models to analyze the associations between daily mean temperature (lag 0–21 d) and hospital admissions for cardiorespiratory, cardiovascular, and respiratory diseases. A random-effects meta-analytical model was then applied to pool the district-specific estimates and obtain the national average associations. We analyzed 20 years of cause-specific hospitalization data with a total of 179 988 cardiovascular and respiratory events. The relationships between cardiorespiratory morbidity and temperature were overall U-shaped. During extreme temperature days, 15.85% (95% empirical CI [eCI]: 8.24, 22.40%) excess cardiovascular hospitalizations and 9.59% (95% eCI: −0.66, 18.69%) excess respiratory hospitalizations were attributable to extreme cold days (below the 2.5th percentile). Extreme hot days (above the 97.5th percentile) accounted for 0.17% (95% eCI: 0.03, 0.29%) excess cardiovascular hospitalizations and 0.23% (95% eCI: 0.07, 0.35%) excess respiratory hospitalizations. We found evidence of increased cardiovascular morbidity risk associated with extreme temperatures in Cyprus. Our study highlights the necessity to implement public health interventions and adaptive measures to mitigate the related temperature effects in an understudied region.

The San Joaquin Valley (SJV) of California has been consistently identified as having one of the highest levels of air pollution in the US. Despite federal and state standards, the SJV has been in non-attainment status for daily PM_2.5 concentrations, extreme non-attainment for 8 hr O₃ levels, and attainment for NO₂. An epidemiological time-stratified case-crossover design was used to estimate the relationship between exposure to NO₂, O₃, PM_2.5 and adverse health outcomes in asthma and upper respiratory infections (URIs). This study compared pollutant exposure effects for each case during limited time intervals and adjusted for seasonality. Elevated concentrations of three criteria outdoor air pollutants are associated with increased asthma and URI-related ED visits and hospitalizations in the SJV for all ages. NO₂ exposure increased the odds of having an ED visit by 2.4% in lag 1 (95% CI: 1.017, 1.031). Lags 2, 3, 4, 5, 7, 9, and 14 were statistically significant. O₃ modestly increased the odds of ED visits by 0.3% (95% CI:1.000, 1.006) after immediate exposure in the warm season. In the cold season, PM_2.5 estimates were significant for all lags except for lags 4 and 12. The two-week lag increased the odds by 28% (95% CI:1.218, 1.345) for ED visits, and 16.5% (95% CI:1.009, 1.345) increased the odds of being hospitalized after cumulative exposure to PM_2.5. Findings suggest that SJV residents experience adverse health effects due to elevated exposure to NO₂ despite attainment of federal and state pollutant standards. This study provides new evidence about the effects of three criteria air pollutants and adverse health outcomes in the SJV region. The air quality regulatory and public health governing bodies should consider revisions to regional pollutant thresholds and local public health strategies to prevent adverse health outcomes during short and prolonged periods of air pollution exposure.

Indoor air quality (IAQ) in schools has received attention over the past decades but still lacks specific standards and regulations. This study aimed to review the impact of bioaerosol activity in indoor environments on acute respiratory diseases and explore whether carbon dioxide can be used as an indicator of bioaerosol and respiratory diseases in indoor environments in K-12 school systems. Findings suggest a lack of a consensual approach to evaluate bioaerosols impacting IAQ in indoor infrastructures, particularly in school environments; an elevated CO₂ concentration inside the school classrooms was not uncommon, and the evidence of unsatisfactory and degraded IAQ (surpassing ASHRAE standards) at public schools in rural and urban settings in one of the North Central County, Florida. It was found that CO₂ levels can be associated with bioaerosol activity, and sufficient ventilation within the space substantially reduces the airborne time of respiratory droplets and CO₂ levels. CO₂ monitoring can act as an effective, low-cost alternative to surveying or detecting the prevalence of respiratory diseases, which may hold strength through establishing critical CO₂ thresholds and, thereafter associating it with the infectious doses of pathogen activity.

Exposure to air pollution (AP) is inevitable in daily life and an increasing number of epidemiological studies have reported that exposure to ambient particulate matter (PM) is associated with adverse health outcomes. Intrauterine, childhood, and adolescence are vulnerable periods, during which PM exposure can cause molecular changes, potentially leading to changes in metabolism and development. PM-induced oxidative stress is the underlying mechanism. Biomarkers can be used as illustrative measures of PM exposure to facilitate the assessment of potential health effects and provide a better understanding of the underlying mechanisms. The purpose of this scoping review is to report -OMICS biomarkers found in body fluids that are primarily related to oxidative stress and are already used to evaluate ambient AP exposure, as well as to identify knowledge gaps. Web of Science, PubMed, and Scopus databases were independently searched for all studies published between January 2013 and December 2022 that reported on -OMICS signature changes during pregnancy, childhood, and adolescence. Of the initial 757 articles, 36 met our inclusion criteria and reported on genomic, epigenomic, transcriptomic, proteomic, lipidomic, and metabolomic biomarkers. The findings of this scoping review indicate that exposure to various ambient pollutants in early life can cause oxidative stress. Integrating biomarkers from top-down -OMICS studies in an epidemiological context may provide a clear picture of the biomarker selection process to establish a causal relationship between PM exposure and disease pathogenesis. This knowledge could lead to the conceptualization and subsequent development of novel preventative strategies.

The emergence and global spread of the COVID-19 pandemic in 2020 converged with wildfire seasons of unprecedented extent. These co-occurring crises brought the potential for amplified health impacts. A systematized literature review was conducted to identify the health impacts from co-exposure to wildfires and the COVID-19 pandemic. A search of PubMed and Scopus identified 373 distinct references which were screened according to predetermined criteria. A total of 22 peer-reviewed publications were included in the final analysis. Studies were located in Australia and the western United States, with a single study in the Amazonian region of Brazil. The studies identified focused primarily on the impact of wildfire smoke exposure on COVID-19 infection and mortality, and the impact of exposure to both crises on mental health. The collective evidence shows that wildfire exposure within the context of the pandemic exacerbated COVID-19 infection and mortality as well as various adverse mental health effects. Additional research is needed in more diverse contexts and with individual-level data. Findings highlight the need for public health preparedness to anticipate overlapping, related crises and to advance climate change mitigation to protect public health.

Climate change, the greatest public health threat of the 21st century, will uniquely affect rural areas that are geographically isolated and experience greater health inequities. This systematic review describes and evaluates interventions to lessen the effects of climate change on human health in the rural United States, including interventions on air pollution, vector ecology, water quality, severe weather, extreme heat, allergens, and water and food supply. Searches were constructed based on the eight domains of the Centers for Disease Control and Prevention (CDC) Framework "Impact of Climate Change on Human Health." Searches were conducted in EBSCO Environment Complete, EBSCO GreenFILE, Embase.com, MEDLINE via PubMed, and Web of Science. Duplicate citations were removed, abstracts were screened for initial inclusion, and full texts were screened for final inclusion. Pertinent data were extracted and synthesized across the eight domains. Article quality was assessed using the Mixed Methods Appraisal Tool. Of 8471 studies screened, 297 were identified for full text review, and a total 49 studies were included in this review. Across the domains, 34 unique interventions addressed health outcomes due to air pollution (n = 8), changes in vector ecology (n = 6), water quality (n = 5), severe weather (n = 3), extreme heat (n = 2) increasing allergens (n = 1), water and food supply (n = 1), and across multiple CDC domains (n = 8). Participatory action research methodology was commonly used and strived to mobilize/empower communities to tackle climate change. Our review identified three randomized controlled trials, with two of these three published in the last five years. While original research on the impact of climate change on health has increased in the past decade, randomized control trials may not be ethical, cost effective, or feasible. There is a need for time-efficient and high-quality scholarship that investigates intervention efficacy and effectiveness for reducing health impacts of climate change upon rural populations.

Background. The positive impact of greenspace on human health has been well documented, including several literature reviews and meta-analyses that have examined the broad benefits of nature connections. Researchers have also examined the relationship between nature and crime reduction and identified potential mechanisms underlying this outcome, such as the physiological impact of nature, lowered temperatures due to a reduction in the heat island effect, and places for community interaction. However, a critical shortcoming of this study is the lack of deep community involvement in the research process. Community-based participatory research (CBPR) is critical to ensuring that the findings are meaningful to communities and translatable. This study expands on recent literature reviews on greenspace outcomes by focusing on community-engaged research (CER). By gathering and summarizing studies on this topic, we address two subjects: (a) strategies that can be used to improve community engagement, and (b) environmental factors that impact community outcomes in greenspace settings. Methods. To explore these issues, we used a modified version of Arksey and O'Malley's framework for a structured literature review, employing the Web of Science, EbscoHost, Scopus, ProQuest Global, and Google Scholar databases. Results. We retrieved 772 publications using permutations of keywords related to violent crime, greenspaces, and CBPR. After eliminating duplicates, the reviewers worked in parallel to evaluate 700 titles and abstracts and identified 51 potentially relevant papers, ten of which met the requirements for inclusion in this analysis. Discussion. Based on the studies explored in this literature review, we identified the following strategies for improving CER: building partnerships, facilitating power-sharing, utilizing community-specific indicators of success, embracing perspectives of communities of color, and empowering community researchers. In the sample of studies described here, the factors contributing to the relationship between greenspace and violent crime were maintenance, activity programming, green interventions, and community involvement.