National Priorities List Research Articles

A simple, collaborative prioritization process for wildlife-associated zoonotic diseases in northern Tanzania

Background and Aim: Zoonotic diseases are naturally transmissible infections between animals and humans. To address these cross-sectoral health issues holistic, transdisciplinary health approaches are required. The legalization of the game meat trade in Tanzania in 2020 has created a new value chain from wild habitats to registered game meat selling facilities in human settlements, thus creating new human–animal interfaces associated with potential risks of zoonotic disease transmission among wildlife, livestock, and human populations. This study aimed to apply a simple, collaborative prioritization process to identify important zoonotic pathogens associated with wild animal taxa harvested and traded for game meat consumption in northern Tanzania. Materials and Methods: A prioritization process was conducted to identify and rank zoonotic diseases associated with wildlife in the Arusha, Kilimanjaro, and Manyara regions of northern Tanzania to help determine the zoonotic disease risks associated with the game meat value chain. Two districts from each region were selected for this study. The prioritization process was conducted through an expert workshop that involved 41 participants, including a District Veterinary Officer, Public Health Officer, and District Game Officer from each district, as well as national One Health focal persons, zonal Veterinary and Laboratory Officers, scientific researchers, and a representative from the national Game Meat Selling Advisory Committee. Results: Experts identified 11 common zoonotic diseases reported in these regions, of which anthrax, rabies, brucellosis, Rift Valley fever, and bovine tuberculosis were considered the most important. This finding is broadly consistent with the national priority list for zoonotic diseases. Conclusion: This approach was time-efficient and cost-effective. In Tanzania, multi-sectoral planning, communication, and cooperation among human health, domestic animal health, wildlife health, and environmental protection have been strengthened. In the future, we recommend regular exercises using such an approach to update the information on important diseases and promote information sharing for epidemic and pandemic preparedness associated with the wild animal trade. Keywords: epidemic and pandemic, expert opinion, game meat, one health, wildlife, zoonoses.

Abstract 853: Assessment of racial and ethnic disparities in environmental exposure-related cancer burden

Abstract The United States Environmental Protection Agency designates superfund sites as regions contaminated with hazardous waste. These sites have previously been associated with adverse health outcomes, including an increased incidence of cancer. Historically, communities with racial and ethnic minorities and people of low socioeconomic status have served as prime locations for these sites, as these communities have lacked the ability to advocate against this land use. Here, we ask whether racial and ethnic minorities are disproportionately exposed to these sites or other regions of hazardous waste in our catchment area at the Case Comprehensive Cancer Center, and in the state of Ohio. Further, we are examining whether areas of high exposure are associated with adverse health outcomes including higher cancer incidence and mortality. We utilized the Environmental Justice Index (EJI) database from the Centers for Disease Control and Prevention to assess, on a census tract level, the percent of racial and ethnic minorities in a region, defined as all persons except white, non-Hispanic individuals. We also queried hazardous and toxic waste sites including regions with a national priority list site, a toxic release inventory site, treatment, storage, and disposal sites, risk management plan sites, coal mines, and lead mines. We intersected these data and found that census tracts with a higher percentage of minority persons were more likely to be exposed to hazardous and toxic sites. Our current studies are assessing whether this high environmental burden is contributing to disproportionately worse cancer burden for these individuals. We will test this by comparing EJI data with data from the Ohio Cancer Incidence Surveillance System database to assess cancer incidence and mortality in Ohio. This will also provide an avenue for identifying specific exposures that may contribute to different cancer types. Further, we plan to assess if persons with low socioeconomic status or those living with disabilities are disproportionately affected by environmental burden. Overall, understanding environmental burden and health outcomes will facilitate the prioritization of communities at greatest need, contributing to greater health equity. Citation Format: Jessica R. Bobbitt, Fangzhou Liu, Jennifer Cullen, Ruth A. Keri. Assessment of racial and ethnic disparities in environmental exposure-related cancer burden [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 853.

Environmental justice burden and Black-White disparities in spontaneous preterm birth in Harris County, Texas.

Given limited evidence of previous studies, we evaluated the role of environmental justice (EJ) burden (i.e., a neighborhood characterized by both increased environmental burden and socioeconomic deprivation) in Black-White disparities in spontaneous preterm birth (sPTB) in Harris County, Texas and compared results that evaluated neighborhood-level socioeconomic deprivation alone. We conducted a retrospective analysis using PeriBank, a database and biospecimen repository of gravidae giving birth at two hospitals in the Texas Medical Center. We included 3,703 non-Hispanic Black and 5,475 non-Hispanic white gravidae who were U.S.-born, delivered from August 2011-December 2020, and resided in Harris County, TX. We used data from the U.S. EPA EJScreen to characterize the EJ burden of participant's zip code of residence from fine particulate matter (PM2.5), ozone, and proximity to National Priorities List (NPL) sites and calculated zip-code level Area Deprivation Index (ADI). We assessed the contribution of neighborhood-level variables to the Black-White disparity in sPTB by evaluating attenuation of the odds ratio (OR) representing the effect of race in multivariable logistic regression models, controlling for individual-level characteristics. We also conducted race-stratified analyses between each neighborhood variable and sPTB. Exposure indices were treated as continuous variables; in stratified models, ORs and 95% Confidence Intervals (CIs) are presented per 10-unit increase in the neighborhood variable. Accounting for individual-level variables, Black gravidae had 79% higher odds of sPTB than white gravidae (OR = 1.79, 95%CI = 1.32, 2.44); the disparity was moderately attenuated when accounting for EJ burden or ADI (ORs ranged from 1.58 to 1.69). Though we observed no association between any of the EJ burden indices and sPTB among white gravidae, we found increased risks among Black gravidae, with ORs of similar magnitude for each EJ variable. For example, Black gravidae experienced 17% increased odds of sPTB associated with a 10-unit increase in the EJ burden index for PM2.5 (OR = 1.17, 95%CI = 0.97, 1.40). No racial differences were observed in the association of ADI with sPTB. Though we observed limited evidence of the contribution of living in EJ neighborhoods to the Black-White disparity in sPTB, our study suggests living in an EJ neighborhood may differentially impact Black and white gravidae.

Complementary Analysis and Implementation Plan for Conservation of Crop Wild Relatives in Finland.

Crop wild relatives (CWR) are valuable wild plant species that can be used as genetic resources providing adaptive traits to crop plants and therefore they play an important role in future food security. This paper describes in situ and ex situ conservation planning of CWR species in Finland and includes the following parts: (a) drafting of the national CWR priority list, (b) undertaking the in situ conservation gap analysis and (c) identifying ex situ conservation gaps and multi-species collecting sites for the CWR in Finland. As a result of the study, essential information was acquired, which will enhance future planning of active science-based practical conservation of CWR in Finland. Based on the new data and earlier work, a number of conservation recommendations are presented. This national work has been carried out in connection with the larger Nordic regional CWR co-operation.

Ensuring the continued success of a mulch biowall at a trichloroethylene‐contaminated superfund site: Lessons learned

AbstractTrichloroethylene (TCE) is a toxic organic compound, which can adversely affect human health. The chemical is one of the most frequently found contaminants in groundwater in the United States and around the world. A landfill in Maryland contaminated with high levels of TCE decades ago was added to the U.S. Environmental Protection Agency's National Priority List (NPL) in 1994. A biowall was installed on the site in 2013 to promote the bioremediation of TCE and subsequently of its degradation products. Six‐year monitoring data indicated a steady removal of >99% groundwater TCE at the wall since installation. However, a concurrent buildup of intermediate byproducts was observed downgradient of the wall. An examination of the entire system was necessary to find the reason behind the inefficiency of the biowall. In this study, the background of the site, remediation plan, and installation were assessed. Monitoring data, including the concentration of TCE and its degradation byproducts, and geochemical and physical characteristics were evaluated to understand the conditions and challenges facing decision‐makers of this project and possible options to improve biowall efficacy.

Pediatric Cancer in the Northeast United States-Letter.

To the Editor,Rees and colleagues (1) examined whether the pediatric cancer rate in the Northeast region is higher than in other regions of the United States. In June 2018, the Centers for Disease Control and Prevention (CDC) released a report indicating that New Hampshire's (NH) pediatric cancer rate is the highest in the United States (2). The NH Department of Health and Human Services determined that the pediatric incidence rate of two rare cancers was significantly higher than expected in a five-town area of NH (3). Understanding whether cancer rates are significantly higher in any particular region and/or state is an important component of identifying and modifying causal risk factors.Rees and colleagues concluded that the pediatric cancer rate in the Northeast region is statistically significantly higher than in other regions. Furthermore, they conclude that the causal risk factor(s) for NH pediatric cancers are likely regional, not localized, deemphasizing environmental contributors while noting that NH and the northeast region have more United States Environmental Protection Agency National Priorities List sites per capita than other regions of the United States.While we are grateful for the attention to the alarming CDC report, we take strong issue with the conclusions drawn by the authors. The hypothesis did not test whether the NH pediatric cancer rate is different than other states within the Northeast region or whether the regional cancer rate is driven primarily by NH. The conclusions in this article are an overextension of the analysis and are a disservice to the important task of identifying and modifying localized causal risk factors for cancer prevention.A significantly elevated regional risk of pediatric cancer in the Northeast is a valuable finding and one piece of a larger puzzle of data analysis and interpretation. The high incidence rate in the Northeast and NH demands further investigation. There are many contextual effects of pediatric cancers to explore; there are also geographic community-level exposures that potentially contribute to an increased risk of cancer [e.g., perfluoroalkyl and polyfluoroalkyl substance (PFAS)-contaminated drinking water and air]. The authors have access to individual-level data which would facilitate analysis of possible community-level contextual effects contributing to elevated cancer risk. For example, we recently found an elevated risk of several types of cancer in a community with known PFAS contamination in groundwater (4).Finally, it is worth noting that the authors used a Bonferroni correction to avoid type 1 error, in which the null hypothesis is rejected for spurious associations resulting from multiple comparisons. A conservative alpha of 0.01, rather than the standard alpha of 0.05, was used to assess statistical significance. Biostatisticians debate the necessity of conservative alphas, given large adjustments to avoid a type 1 error increase the likelihood of a type 2 error, where meaningful group differences are missed. We suggest a more prudent approach rather than one that risks an unwarranted trade-off in the likelihood of type 1 and 2 errors. In fact, the CDC used a 95% confidence interval when they determined that the pediatric cancer rate in NH is the highest in the nation.A full and transparent assessment of the environmental and public health damage is an essential step in that process since most cancer diagnoses could be prevented by minimizing environmental causes (5). The field would be well served by using resources to inspect internal surveillance, policies, and regulations to prevent environmental exposure and focus attention and resources on prevention and mitigation. We sincerely hope that Rees and colleagues, and others, direct resources to identifying and modifying localized factors contributing to cancers while focusing on prevention. We owe it to NH children who experience the highest risk of pediatric cancer in the nation.See the Response, p. 150No disclosures were reported.

THE IMPACT OF ENVIRONMENTAL LIABILITIES ON THE STOCK PRICE AND MARKET VALUE

This study examines the effect on the security returns of a company named on the National Priority List (NPL) for the Superfund site. It investigates if the designation as a potentially responsible party (PRP) generates more negative abnormal returns after listing the NPL. Since this designation of firms as PRPs increase regulatory costs such as cleanup costs and disclosure requirements, an adverse market reaction is expected. This study employs several financial databases, such as Research Insight, CRSP, I/B/E/S, and the EPA's NPL database, which compile the Superfund listing for each firm in the sample. In the case of environmental liabilities, the potential future cost of environmental remediation makes estimating the firm's earnings more difficult. This implies that the earnings of PRP firms may not persist, resulting in noisier accounting information. The empirical results support the hypotheses that the markets react negatively to the bad news that the firm has been designated as a PRP in the Superfund site, implying that environmental liabilities negatively impact firm stock price and valuation. Significant findings provide financial statement users with helpful information about contingent environmental liabilities and help them make more informed investment decisions and better judge the firms' future performance.

Developing a granular scale environmental burden index (EBI) for diverse land cover types across the contiguous United States.

Critical to identifying the risk of environmentally driven disease is an understanding of the cumulative impact of environmental conditions on human health. Here we describe the methodology used to develop an environmental burden index (EBI). The EBI is calculated at U.S. census tract level, a finer scale than many similar national-level tools. EBI scores are also stratified by tract land cover type as per the National Land Cover Database (NLCD), controlling for urbanicity. The EBI was developed over the course of four stages: 1) literature review to identify potential indicators, 2) data source acquisition and indicator variable construction, 3) index creation, and 4) stratification by land cover type. For each potential indicator, data sources were assessed for completeness, update frequency, and availability. These indicators were: (1) particulate matter (PM2.5), (2) ozone, (3) Superfund National Priority List (NPL) locations, (4) Toxics Release Inventory (TRI) facilities, (5) Treatment, Storage, and Disposal (TSD) facilities, (6) recreational parks, (7) railways, (8) highways, (9) airports, and (10) impaired water sources. Indicators were statistically normalized and checked for collinearity. For each indicator, we computed and summed percentile ranking scores to create an overall ranking for each tract. Tracts having the same plurality of land cover type form a 'peer' group. We re-ranked the tracts into percentiles within each peer group for each indicator. The percentile scores were combined for each tract to obtain a stratified EBI. A higher score reveals a tract with increased environmental burden relative to other tracts of the same peer group. We compared our results to those of related indices, finding good convergent validity between the overall EBI and CalEnviroScreen 4.0. The EBI has many potential applications for research and use as a tool to develop public health interventions at a granular scale.

Identification of Legacy and Active Sources of Metal Contamination in Soils in Brooklyn, NY.

The purpose of this study was to examine the spatial distribution and potential anthropogenic sources of lead (Pb), zinc (Zn), copper (Cu), manganese (Mn), and iron (Fe) in surface soils throughout Brooklyn, NY. We collected soil samples (n = 1,373) from 176 different New York City parks. Samples were analyzed ex-situ using a portable X-ray fluorescence with a subset of samples laboratory confirmed. The effect of multiple sources on concentrations were determined by multivariable linear regression with generalized estimating equations. Median concentrations of Pb, Zn, Cu, Fe, and Mn were 108ppm, 145ppm, 49ppm, 14,034ppm, and 279ppm, respectively. All metals were significantly correlated with one another (p < 0.001), with the strength of the correlation ranging from a low of approximately ρ = 0.3 (Pb-Mn and Zn-Mn) to a high of ρ = 0.7 (Pb-Cu). In final multivariate modeling significant association were observed between scrap yards and Mn concentration (β = 0.075, 0.019), National Priorities List (NPL) sites and Pb, Fe and Mn (β = 0.134, p = 0.004; β = 0.038, p = 0.014; β = 0.057, p = 0.037, respectively), and bridges nearby and Pb and Zn (β = 0.106, p = 0.003; β = 0.076, p = 0.026, respectively). Although manufacturing and industry have mostly left the area, smaller scrap metal recyclers are abundant and associated with increased Cu and Mn soil concentrations. In addition, NPL sites contributed to increased concentrations of all five metals within 800m. Roadways have long been established to be sources of urban pollution; however, in our study we also found the presence of bridges within 800m were also strongly predictive of increased Pb, Cu, and Zn concentrations.

Clinical Impact of the Lung Allocation Policy: A Nationwide Study

<h3>Purpose</h3> In the Italian lung transplant (LTX) allocation system, patients receive national priority (NP) only if on ECMO or mechanical ventilation (MV). We hypothesized that LAS could contribute to identify patients with increased waitlist mortality and who could benefit from NP. <h3>Methods</h3> We retrospectively reviewed the outcome and calculated the entry list LAS of patients who were listed for LTX in Italy between 2015 and 2021 either with or without NP. Probability of LTX was estimated using a competitive risk survival analysis. Postoperative 1-yr and 3-yr outcome was calculated with the Kaplan-Meier model. <h3>Results</h3> 1031 patients listed for LTX in the study period (85.3%) had complete data for analysis. 119 (11.5%) were listed with NP and 912 without. Mean LAS was 38.6 in the standard listing group and 50.1 in the NP group (p=0.0001). After stratifying for the value of LAS at the time of listing, more patients (43%) were listed with NP in the 4^thquartile (LAS>50) group. The probability of LTX was lower in patients in the LAS>50 quartile who were not placed on NP. The same group had the highest risk of death on the list (20.73%, p<0.001 compared to all other groups). Post-transplant outcomes were available for 481 patients out of 548 who received LTX in the study period (92.5%). 66 patients (13.7%) were transplanted after being on NP. 1-yr KM survival was less favorable in NP patients compared to non-NP patients, although not reaching statistical significance (p=0.08). In the >50 LAS quartile, 36.7% of patients were transplanted on the NP list, and had a worse KM survival compared to other quartiles (p=0.02). <h3>Conclusion</h3> In a non-LAS allocation context, retrospective analysis shows that high-LAS patients (>50) who do not receive NP allocation display high mortality on the waiting list. NP patients (ECMO/MV) have the worse postoperative outcomes. High LAS (>50) may earlier identify patients who are at higher risk of pre-transplant mortality and need NP, preventing the high postoperative mortality of LTX after ECMO/MV.

Seroprevalence of Seven Reproductive Diseases in Beef and Dairy Cows from Three Provinces in Indonesia.

Bovine reproductive diseases are endemic in Indonesia, but comprehensive information about their infectious causes is not available. Therefore, our aim for this study was to detect several infectious agents that cause reproductive diseases in Indonesian beef and dairy cows. A total of 152 cow serum samples collected by Faculty of Veterinary Medicine of Brawijaya University and Veterinary Disease Investigation Centre as a part of the mandatory and regularly surveillance system from three provinces during 2019–2020 were used. The samples were then sent to Indonesian Research Centre for Veterinary Science (IRCVS) for further detection of seven reproductive diseases by enzyme-linked immunosorbent assay (ELISA). Seven reproductive diseases to be tested in parallel are neosporosis, chlamydiosis, brucellosis, Q fever, bovine viral diarrhea (BVD), infectious bovine rhinotracheitis (IBR), and BHV-4 infection. The dominant reproductive diseases in Indonesian cows were BVD (45.69%), chlamydiosis (31.58%), IBR (20.53%), neosporosis (11.84%), and BHV-4 infection (10.53%). The seroprevalence of IBR, BHV-4 infection, neosporosis, and brucellosis varied significantly (P < 0.05) between dairy and beef cattle. The most dominant reproductive diseases in aborted cows were chlamydiosis (45%), BVD (41%), and neosporosis (10%). The conclusion drawn from this study is that the dominant reproductive diseases in Indonesian cows are BVD, chlamydiosis, IBR, neosporosis, and BHV-4 infection. Chlamydiosis, BVD, and neosporosis are common among aborted cow. Chlamydiosis, neosporosis, and BHV-4 infection should be included in the national priority list in Indonesia. Control and preventive measures should be focused on high-risk areas and animals like stray cat and dog.

A Data-Driven Digital Application to Enhance the Capacity Planning of the COVID-19 Vaccination Process.

In this paper, a decision support system (DSS) is presented that focuses on the capacity planning of the COVID-19 vaccination process in the Netherlands. With the Dutch national vaccination priority list as the starting point, the DSS aims to minimize the per-class waiting-time with respect to (1) the locations of the medical hubs (i.e., the vaccination locations) and (2) the distribution of the available vaccines and healthcare professionals (over time). As the user is given the freedom to experiment with different starting positions and strategies, the DSS is ideally suited for providing support in the dynamic environment of the COVID-19 vaccination process. In addition to the DSS, a mathematical model to support the assignment of inhabitants to medical hubs is presented. This model has been satisfactorily implemented in practice in close collaboration with the Dutch Municipal and Regional Health Service (GGD GHOR Nederland).

Coverage of National Priority List sites by the print media during the implementation of Superfund: the role of race and income

AbstractWe review 1982–1984 articles identifying Superfund sites in three national newspapers. Articles almost never identify the race of nearby residents. Based on sites receiving disproportionate coverage, readers might conclude that Superfund generally affected white, working-class families, but results do not support this narrative. In a pooled sample, neither race nor income predicts the number of times a site gets mentioned. When the sample is partitioned by newspaper or by each newspaper's coverage of nearby sites, a positive relationship emerges between the proportion of Hispanic or nonwhite residents and the number of articles about a site. We discuss this apparent contradiction.

Repeated Measures of County Level Toxic Releases are Associated with Increased Circulatory Disease Mortality

BACKGROUND AND AIM: Cardiovascular disease (CVD) is the leading cause of death from environmental exposures. Although exposure to PM2.5 is an established risk factor for CVD, the contribution of other hazardous pollutant exposure to CVD is less clear. METHODS: To examine the relationship between environmental exposures and CVD, we used the publicly available Toxic Release Inventory data and age-adjusted circulatory disease mortality rates from the National Center for Health Statistics between 2002 and 2012. We built longitudinal mixed models using an aggregate quantity-based exposure and risk-based exposure, the county sum and the risk sum, respectively. The county sum is the sum of all chemicals released in pounds in each county, each year, independent of the chemical toxicity. The risk sum is the sum of the product of each chemical release in pounds and the inverse of the reportable quantity of the chemical. To identify the potentially toxic chemicals associated with circulatory disease mortality rates in a cross-section of the data, in year 2012, we used the variable selection elastic net approach. Models were adjusted for county percent male, percent White, percent Hispanic, and percent less than a high school diploma earned, median household income, alcohol, smoking, frequency of National Priority List Superfund sites, and PM2.5. RESULTS:For every 25% increase in annual county sum, we found a 2.8% (1.2, 4.4; p-value=0.0006) increase in circulatory disease mortality rate. In addition, for every 25% increase in annual risk sum, there was a 3.0% (95%CI 1.3, 4.6; p-value=0.0003) increase in circulatory mortality. The elastic net model identified that five out of 467 potentially toxic chemicals: bromoform, dichlorobromomethane, dichlorotrifluoroethane, nitrophenol, and thallium may be contributing to excessive CVD mortality. CONCLUSIONS:These results identify 5 reactive chemicals of concern and suggest that county-wide releases of toxic chemicals may be significant contributors to CVD mortality. KEYWORDS: Cardiovascular diseases, Mortality, Multi-pollutant, Air Pollution

Biosensor applications in contaminated estuaries: Implications for disaster research response

Background: Given the time and monetary costs associated with traditional analytical chemistry, there remains a need to rapidly characterize environmental samples for priority analysis, especially within disaster research response (DR2). As PAHs are both ubiquitous and occur as complex mixtures at many National Priority List sites, these compounds are of interest for post-disaster exposures. Objective: This study tests the field application of the KinExA Inline Biosensor in Galveston Bay and the Houston Ship Channel (GB/HSC) and in the Elizabeth River, characterizing the PAH profiles of these region's soils and sediments. To our knowledge, this is the first application of the biosensor to include soils. Methods: The biosensor enables calculation of total free PAHs in porewater (C free), which is confirmed through gas chromatography-mass spectrometry (GC-MS) analysis. To determine potential risk of the collected soils the United States Environmental Protection (USEPA) Agency's Regional Screening Level (RSL) Calculator is used along with the USEPA Region 4 Ecological Screening Values (R4-ESV) and Refined Screening Values (R4-RSV). Results: Based on GC-MS results, all samples had PAH-related hazard indices below 1, indicating low noncarcinogenic risks, but some samples exceeded screening levels for PAH-associated cancer risks. Combining biosensor-based C free with Total Organic Carbon yields predictions highly correlated (r > 0.5) both with total PAH concentrations as well as with hazard indices and cancer risks. Additionally, several individual parent PAH concentrations in both the GB/HSC and Elizabeth River sediments exceeded the R4- ESV and R4-RSV values, indicating a need for follow-up sediment studies. Conclusions: The resulting data support the utility of the biosensor for future DR2 efforts to characterize PAH contamination, enabling preliminary PAH exposure risk screening to aid in prioritization of environmental sample analysis.

MiADMSA abrogates sodium tungstate-induced oxidative stress in rats

Tungsten (W) and its compounds have emerged as a relatively new area of environmental health concern in the last decade. Tungsten is environmentally benign due to its increasing use in armour-piercing munitions and as a replacement for lead in other ammunition. It has also been identified in various hazardous waste sites and therefore been proposed for inclusion in the Environmental Protection Agency National Priorities List. The major objective of this study was to evaluate the therapeutic efficacy of orally administered monoisoamyl 2, 3-dimercaptosuccinic acid (MiADMSA) against tungstate induced oxidative injury in blood, liver and kidneys of male Wistar rats. MiADMSA, a thiol chelator has gained wide recognition recently as a future chelating drug of choice specifically for arsenic and was chosen for this study as tungstate ions too have an affinity toward the –SH group thus, being less bioavailable in the body. We determined the effects of MiADMSA (50 mg/kg, p.o.) against sodium tungstate (500 ppm in drinking water, daily for 28 days) induced biochemical changes indicative of oxidative stress in blood, and other soft tissues of of male Wistar rats. Tungsten exposure led to an increased levels of Reactive Oxygen Species (ROS) in liver, kidney, spleen and blood accompanied also by an increase in TBARS levels. The GSH: GSSG ratio also showed a decrease on sodium tungstate intoxication. Treatment with MiADMSA restored most of the sodium tungstate-induced alterations in the biomarkers suggestive of oxidative stress. These preliminary results led us to conclude that sub-acute exposure to tungstate-induced oxidative stress could be effectively reduced by the administration of MiADMSA and thus might be a promising antidote for studying in detail its efficacy in reducing body tungstate burden and its excretion post tungstate exposure.

Supporting Native American Community Leadership Through Culturally Relevant STEM Education

Over 400,000 Native Americans live in close proximity to a U.S. Environmental Protection Agency Superfund site. The Coeur d'Alene Basin, located in northern Idaho, contains a Superfund site, which has been on the National Priorities List since 1983 as a result of toxic metal contamination from historical mining practices. The Coeur d'Alene Tribe has resided in this region since time immemorial and are profoundly affected by these environmental hazards. Leaders among Native American community membership in science, technology, engineering, and mathematics (STEM) can support the community's ability to mitigate these issues as a sovereign nation. Reflecting this call, we report on the impact of a culturally relevant STEM education program and affiliated internship aimed at cultivating Coeur d'Alene Tribal youth participation in STEM and associated leadership desires. The findings show that the educational programming facilitated youth comprehension of STEM, participation in STEM fields, and desire to become a leader in their community.

Unequal Proximity to Environmental Pollution: An Intersectional Analysis of People with Disabilities in Harris County, Texas

This article addresses the growing need to analyze the relationship between disability and environmental pollution, as well as contribute to emerging research that recommends an intersectional approach for studying the complexity of distributive environmental risks imposed on marginalized subpopulations in U.S. urban areas. It focuses on Harris County, which contains the city of Houston and the highest number of people with disabilities in the state of Texas. Three different pollution sources are analyzed: Superfund sites on the National Priorities List (NPL); hazardous waste treatment, storage, and disposal (TSD) facilities; and motor vehicle traffic. Proximity scores are calculated at the census tract level using a novel spatial enumeration methodology developed by the U.S. Environmental Protection Agency, and statistical analysis is based on multivariable generalized estimating equations. Results indicate that people with disabilities are significantly more likely to reside in neighborhoods with higher NPL and TSD proximity than those without disabilities, after controlling for clustering and relevant sociodemographic factors. Intracategorical analysis reveals that individuals with disabilities are experiencing a “multiple jeopardy” defined by the convergence of disability with other social disadvantages such as racial/ethnic minority and elderly status and amplified by their proximity to pollution sources.

COVID-19 prevalence and fatality rates in association with air pollution emission concentrations and emission sources

The novel coronavirus disease (COVID-19) is primarily respiratory in nature, and as such, there is interest in examining whether air pollution might contribute to disease susceptibility or outcome. We merged data on COVID-19 cumulative prevalence and fatality rates as of May 31, 2020 with 2014–2019 pollution data from the US Environmental Protection Agency Environmental Justice Screen (EJSCREEN), with control for state testing rates, population density, and population covariate data from the County Health Rankings. Pollution data included three types of air emission concentrations (particulate matter<2.5 μm (PM2.5), ozone and diesel particulate matter (DPM)), and four pollution source variables (proximity to traffic, National Priority List sites, Risk Management Plan (RMP) sites, and hazardous waste treatment, storage and disposal facilities (TSDFs)). Results of mixed model linear multiple regression analyses indicated that, controlling for covariates, COVID-19 prevalence and fatality rates were significantly associated with greater DPM. Proximity to TSDFs was associated to greater fatality rates, and proximity to RMPs was associated with greater prevalence rates. Results are consistent with previous research indicating that air pollution increases susceptibility to respiratory viral pathogens. Results should be interpreted cautiously given the ecological design, the time lag between exposure and outcome, and the uncertainties in measuring COVID-19 prevalence. Areas with worse prior air quality, especially higher concentrations of diesel exhaust, may be at greater COVID-19 risk, although further studies are needed to confirm these relationships.

Dose dependent changes in oxidative stress, hematological variables, tissue pathology, and apoptosis following chronic sodium tungstate exposure in rats

Tungsten (W) toxicity has been identified as one of the major health concerns in the last decade. It has been identified in few hazardous waste sites and proposed for inclusion in the Environmental Protection Agency National Priorities List. The purpose of this study was to provide biochemical basis for understanding the tungstate induced interference in different organs and blood. Male Wistar rats were exposed to the concentration of 50, 100 and 200 ppm of tungstate in drinking water for 120 days. The hematological profiling was done after 15, 30 and 120 days. The biochemical estimation of oxidative stress parameters and histopathology of different organs were performed after 120 days. Significant reduction in the WBC and RBC counts, and hemoglobin levels was observed after exposure to 200 ppm of tungstate for 120 days. Significant alterations were observed in oxidative stress markers, being more pronounced in the liver and spleen. This was consistent with elevated number of apoptotic cells in spleen, and high tungstate concentration in blood, liver and spleen. Hence, we can conclude that the free radical induced oxidative stress which alters the antioxidant response are the possible mechanisms behind tungstate toxicity as we observed alterations in hematological parameters, histopathological observations, number of apoptotic cells, and bio-distribution of W. The study provides useful data for assessing the need to conduct health checkup in individuals living near hazardous waste sites or other sites associated with W exposure. Also, it provides information for assessing the potential health risks associated with tungstate toxicity.