The Salton Sea, California's largest lake, is undergoing significant environmental degradation, which has adverse health effects on nearby rural communities, primarily Latinx and Torres Martinez Desert Cahuilla Indian. Over the past two decades, the lake's water levels have steadily dropped. Water conditions in the Sea, characterized by low oxygen and high nutrient levels, favor the production of hydrogen sulfide (H2S). This study investigates the connection between the Sea's changing conditions, particularly the worsening water quality, and H2S emissions using air quality and water quality data collected since 2013 and 2004, respectively. H2S concentrations often exceed California's air quality standards, particularly in areas near the Sea during summer months. Wind patterns substantially impact detection of H2S. When wind is blowing from the Sea toward communities with sensors, located to the northwest of the Sea, H2S is detected significantly more often. Current monitoring efforts underestimate the frequency and distribution of H2S that exceeds air quality standards. An air sensor deployed in shallow water over the Salton Sea by a community science program detected substantially higher concentrations of H2S, particularly when wind was blowing over exposed sediment and shallow water, suggesting that these are a significant and overlooked H2S source at the Salton Sea. These findings highlight the need for improved air quality monitoring and more effective environmental management policies to protect public health in the region. The study emphasizes the importance of community-led solutions and provides insights relevant to other regions experiencing similar environmental crises.
Research has shown that there has consistently been a lack of equity and accessibility to SARS-CoV-2 testing in underserved and disadvantaged areas in the United States. This study examines the distribution of Wastewater-Based Epidemiology (WBE) testing placement across the United States (US), particularly within the context of underserved communities, and explores an environmental equity approach to address the impact of WBE on future pandemics. The methods combined the Centers for Disease Control Social Vulnerability Index (CDC-SVI) data set at the county level in a geospatial analysis utilizing ArcGIS and multilinear regression analysis as independent variables to investigate disparities in WBE coverage in the US. The findings show that disparities exist between counties in the use of WBE nationwide. The results show that WBE is distributed inequitably on national and state levels. Considering the nationwide adoption of WBE and funding availability through the CDC National Wastewater Surveillance System, these findings underscore the importance of equitable WBE coverage for effective COVID-19 monitoring. These findings offer data to support that a focus on expanding WBE coverage to underserved communities ensures a proactive and inclusive strategy against future pandemics.
Shrinking shorelines and the exposed playa of saline lakes can pose public health and air quality risks for local communities. This study combines a community science method with models to forecast future shorelines and PM10 air quality impacts from the exposed playa of the Salton Sea, near the community of North Shore, CA, USA. The community science process assesses the rate of shoreline change from aerial images collected through a balloon mapping method. These images, captured from 2019 to 2021, are combined with additional satellite images of the shoreline dating back to 2002, and analyzed with the DSAS (Digital Shoreline Analysis System) in ArcGIS desktop. The observed rate of change was greatly increased during the period from 2017 to 2020. The average rate of change rose from 12.53 m/year between 2002 and 2017 to an average of 38.44 m/year of shoreline change from 2017 to 2020. The shoreline is projected to retreat 150 m from its current position by 2030 and an additional 172 m by 2041. To assess potential air quality impacts, we use WRF-Chem, a regional chemical transport model, to predict increases in emissive dust from the newly exposed playa land surface. The model output indicates that the forecasted 20-year increase in exposed playa will also lead to a rise in the amount of suspended dust, which can then be transported into the surrounding communities. The combination of these model projections suggests that, without mitigation, the expanding exposed playa around the Salton Sea is expected to worsen pollutant exposure in local communities.
Background: A deeper understanding of the key determinants of maternal mental health is important for improving care for women, especially women who are at an economic disadvantage. Objectives: To explore the associations of select social determinants: access, social support, and stress, with the onset of antepartum depression in low-income mothers. Participants: The Pregnancy Risk Assessment Monitoring System (PRAMS) is an ongoing, population-based surveillance system with selected data from 2016 to 2019, establishing a randomly selected sample of women with a recent live birth at most 4 months postdelivery, between 1,300 and 3,400 women per state (n ∼ 162,558). Methods: In this cross-sectional study, the phase 8 PRAMS was adapted to measure social support, access, stress, and their relationships with the onset of antepartum depression in low-income mothers. To assess low-income marginalization, a threshold was established based on income levels within 130% of the federal poverty level; antepartum (n ∼ 41,289). Results: The defined access, social support, and stress factors showed a statistically significant association with the onset of antepartum depression among low-income mothers. Of women in this sample, 22.6% indicated antepartum depression (p < 0.001; R2 = 0.066). Negative social support indicators were associated with an increased likelihood of antepartum depression; 3.71 increased odds of depression for abuse during pregnancy, and 0.79 decreased odds with positive acknowledgment of paternity. Access indicator terms showed an association with the decreased likelihood of antepartum depression through breastfeeding information support (Info from Baby Doc, odds ratio [OR] = 0.86), prenatal care utilization (12+ visits, OR = 0.82), and specific insurance type (insurance by job, OR = 0.82). All instances of stressful life events showed an increased likelihood of depression during pregnancy (for majority of stressful life events: OR >1.12). Conclusions: Economically marginalized mothers face unmet social and health care needs leading to poorer outcomes during pregnancy. These findings provide additional support for improved policy and public health efforts, such as assessment, education, and interventions, to decrease prevalence and improve treatment for antepartum depression among marginalized mothers.
AbstractThe Salton Sea (SS), California’s largest inland lake at 816 square kilometers, formed in 1905 from a levee breach in an area historically characterized by natural wet-dry cycles as Lake Cahuilla. Despite more than a century of untreated agricultural drainage inputs, there has not been a systematic assessment of nutrient loading, cycling, and associated ecological impacts at this iconic waterbody. The lake is now experiencing unprecedented degradation, particularly following the 2003 Quantification Settlement Agreement—the largest agricultural-to-urban water transfer in the United States. Combined with high evaporation rates, reduced inflows have led to rapid lake shrinkage, with current maximum depths of only 10 m. Here we report distinct temporal and spatial patterns for nutrient dynamics at the SS for two decades spanning the period before and after major water transfer agreement. While external nutrient loading remains relatively consistent year-round, internal cycling varies seasonally. Winter exhibits high total phosphates and nitrate levels due to reduced primary productivity, with lower ammonium concentrations from increased oxygenation. Summer conditions shift to decreased phosphate and nitrate levels from enhanced primary production, sustained partly by internal phosphorus release from sediments during anoxic periods. Although N:P molar ratios can exceed 50:1 to 100:1 (far above the Redfield ratio of 16:1), phosphorus consistently remains at hypereutrophic levels (> 0.05 mg/L) challenging previous assumptions of phosphorus limitation. Post-2020 data show disrupted stratification patterns. Despite higher oxygen levels in bottom waters compared to 2004–2009, overall water column oxygenation has declined, reflecting altered hydrodynamics in the shallowing lake. These changes have intensified environmental challenges stemming from cultural eutrophication including harmful algal blooms, threatening both ecosystem and public health. Effective remediation will require significant reduction in external nutrient loading through constructed wetlands and/or treatment facilities at tributary mouths to reduce the lake’s overall nutrient inventory over time.
Safe drinking water is a fundamental requirement for human life. The deterioration of water quality primarily involves microbiological hazards, since most evident water-related health problems are the result of microbial contamination. The aim of this study was to evaluate the microbial contamination of drinking water from three sources: water vending machines (WVMs), soda fountains (SFs), and tap water (TW) in the Eastern Coachella Valley (ECV) using physico-chemical parameters, conventional cultivable methods, including IDEXX technology and molecular methods. A total of 72 samples were analyzed and results indicated heterotrophic plate counts (HPCs) bacteria in 20% of samples from WVMs, 25% of samples from SFs, 33.3% of TW samples, and 76% of swab samples. Results also demonstrated 20% of WVM, 88% of swab samples, 41% of SF, and 50% of TW samples had total coliforms. Our qPCR indicated the presence of genetic materials of all six selected microorganisms (Salmonella spp, Listeria monocytogenes, Pseudomonas aeruginosa, Campylobacter jejuni, Escherichia coli, Enterococcus faecalis) used as indicators of pathogenic microorganisms in water from WVMs, SFs, and TW, and were represented at different concentrations and predominance.
Research participation is an important component of advancing whole health and eliminating health disparities, especially in communities facing environmental justice (EJ) issues. Though federally mandated, recruitment of racial and ethnic minorities can be a daunting task and recruitment of children an even greater challenge. A range of typical recruitment strategies (printed materials, word of mouth, broadcast etc.) for those of ethnically and culturally diverse backgrounds have exhibited only limited to modest success, depending on the community being served and the type of engagement. To date, there has been only limited assessment of the use of community-based participatory research (CBPR) theatre as a culturally relevant recruitment strategy. The ENRRICH Railyard Study used CBPR theatre to engage an underserved EJ community, and to assess the health impact of residential proximity to a major freight railyard. The railyard community is comprised of primarily low-income Hispanic families. To promote participation, a CBPR theatre play – a partnership between a community- based organisation (CBO) and a university institution – was produced, from design to production, at two elementary schools. Following the play, parental consents and surveys were sent home. The response was immediate and one of the largest to date – 74 percent of children participated in the study. The CBPR theatre, university and CBO partnership provided an opportunity to engage under-served minority children and their parents, thus encouraging participation and facilitating educationon respiratory health and the environment. This article includes experiences and lessons learned from using CBPR theatre to encourage study participation, critical for promoting sustainable change in an EJ community.
Background Throughout the COVID-19 pandemic in the United States, a major public health goal has been reducing the spread of the virus, with particular emphasis on reducing transmission from person to person. Frequent face touching can transmit viral particles from one infected person and subsequently infect others in a public area. This raises an important concern about the use of face masks and their relationship with face-touching behaviors. One concern discussed during the pandemic is that wearing a mask, and different types of masks, could increase face touching because there is a need to remove the mask to smoke, drink, eat, etc. To date, there have been few studies that have assessed this relationship between mask wearing and the frequency of face touching relative to face-touching behaviors. Objective This study aimed to compare the frequency of face touching in people wearing a mask versus not wearing a mask in high–foot traffic urban outdoor areas. The purpose of this study was to assess if mask wearing was associated with increased face touching. Methods Public webcam videos from 4 different cities in New York, New Jersey, Louisiana, and Florida were used to collect data. Face touches were recorded as pedestrians passed under the webcam. Adult pedestrians wearing masks were compared to those not wearing masks. Quantitative measures of frequency, duration, site of touch, and oral activities were recorded. Linear regression analysis was used to assess the association between mask use and face touching. Results Of the 490 observed subjects, 241 (49.2%) were wearing a mask properly and 249 (50.8%) were not. In the unmasked group, 33.7% (84/249) were wearing it improperly, covering the mouth only. Face touching occurred in 11.4% (56/490) of the masked group and 17.6% (88/490) in the unmasked group. Of those who touched their face, 61.1% (88/144) of people were not wearing a mask. The most common site of face touching was the perioral region in both groups. Both the masked and unmasked group had a frequency of face touching for 0.03 touches/s. Oral activities such as eating or smoking increased face touching in the unmasked group. Conclusions Contrary to expectations, non–mask-wearing subjects touched their face more frequently than those who were wearing a mask. This finding is substantial because wearing a face mask had a negative association with face touching. When wearing a mask, individuals are less likely to be spreading and ingesting viral particles. Therefore, wearing a mask is more effective in preventing the spread of viral particles.
A year since the declaration of the global coronavirus disease 2019 (COVID-19) pandemic, there were over 110 million cases and 2.5 million deaths. Learning from methods to track community spread of other viruses such as poliovirus, environmental virologists and those in the wastewater-based epidemiology (WBE) field quickly adapted their existing methods to detect SARS-CoV-2 RNA in wastewater. Unlike COVID-19 case and mortality data, there was not a global dashboard to track wastewater monitoring of SARS-CoV-2 RNA worldwide. This study provides a 1-year review of the "COVIDPoops19" global dashboard of universities, sites, and countries monitoring SARS-CoV-2 RNA in wastewater. Methods to assemble the dashboard combined standard literature review, Google Form submissions, and daily, social media keyword searches. Over 200 universities, 1400 sites, and 55 countries with 59 dashboards monitored wastewater for SARS-CoV-2 RNA. However, monitoring was primarily in high-income countries (65%) with less access to this valuable tool in low- and middle-income countries (35%). Data were not widely shared publicly or accessible to researchers to further inform public health actions, perform meta-analysis, better coordinate, and determine equitable distribution of monitoring sites. For WBE to be used to its full potential during COVID-19 and beyond, show us the data. Analysis of a global dashboard of COVID-19 wastewater monitoring indicates that most monitoring is in High Income Countries and there is a need for great equity and open data sharing.
In the Southern California desert, the Salton Sea is the cause of a local socioenvironmental crisis reflective of various environmental injustices. Today’s Salton Sea is fed primarily through agricultural water run-off and effluent discharge. Over 23% of the Latinx and Torres Martinez Desert Cahuilla Indian identifying residents live below the poverty line in the two zip codes north of the sea (US Census Bureau, 2021). Persistent droughts and inequitable policies have accelerated the sea’s evaporation, exacerbating environmental health problems such as poor air quality and respiratory illnesses like asthma (Farzan et al., 2019). Since 2010, nonprofit organizations such as Alianza Coachella Valley (hereafter referred to as Alianza) have been addressing these issues and campaigning for economic and environmental justice in the Eastern Coachella Valley (ECV). Prior to this work, no reliable and continuous source of water quality information was easily accessible to local communities. Most recently, Alianza championed a community science initiative with the goal of establishing ongoing environmental monitoring, research, and advocacy. Through this initiative, community members formed the Salton Sea Environmental Time Series (SSET) in 2021 with support from the American Geophysical Union’s (AGU’s) Thriving Earth Exchange program. This collaboration, along with a variety of other institutions, has fostered diversity, equity, and inclusion (DEI) within scientific academia for underrepresented ECV scholars and can serve as a blueprint for future initiatives.
Air pollution is a significant health threat around the world. Young children are a more vulnerable population. Environmental Protection Agency (EPA) and World Health Organizations (WHO) guidelines may not adequately protect them. Given children’s rapid growth, it is important to review studies, consider the weight of evidence, and identify knowledge gaps. Our purpose was to conduct a systematic literature review of epidemiological studies of adverse health outcomes not previously considered; specifically, we reviewed evidence for traffic-related air pollution (TRAP) CO, NO 2 , SO 2 , O 3 , PM 10 , and PM 2.5 in children ≤ 5 years in age, with special attention to adverse effects occurring within current air pollutant guidelines. Data sources are electronic search of PubMed, MEDLINE, and Google Scholar. Articles on air pollutants and additional health outcomes in children (0–5 years), between Jan. 1997 and Dec. 2018. Search included terms such as “air pollution, children, and adverse effects”. Fifty-two studies met the inclusion criteria. Seven (7) health outcome categories were identified: respiratory diseases; developmental disorders; allergies, eczema, and allergic rhinitis; ear infections; cancer; obesity; and others, with greatest associations for respiratory and developmental disorders. Strongest findings were for NO 2 , O 3 , PM 10 , and PM 2.5, and most health effects reviewed occurred within WHO limits. Our findings are pertinent for health professionals, researchers, government officials, and others to collaboratively support policy efforts toward exposure reductions for pregnant women and children to prevent acute and chronic diseases. This is critical for building a culture of health and ensuring health equity for vulnerable populations.
Amid the 2019 coronavirus disease pandemic (COVID-19), the scientific community has a responsibility to provide accessible public health resources within their communities. Wastewater based epidemiology (WBE) has been used to monitor community spread of the pandemic. The goal of this review was to evaluate the need for an environmental justice approach for COVID-19 WBE starting with the state of California in the United States. Methods included a review of the peer-reviewed literature, government-provided data, and news stories. As of June 2021, there were twelve universities, nine public dashboards, and 48 of 384 wastewater treatment plants monitoring wastewater for SARS-CoV-2 within California. The majority of waste-water monitoring in California has been conducted in the urban areas of Coastal and Southern California (34/48), with a lack of monitoring in more rural areas of Central (10/48) and Northern California (4/48). Similar to the access to COVID-19 clinical testing and vaccinations, there is a disparity in access to wastewater testing which can often provide an early warning system to outbreaks. This research demonstrates the need for an environmental justice approach and equity considerations when determining locations for environmental monitoring.
Much of what is known and theorized concerning passive sampling techniques has been developed considering chemical analytes. Yet, historically, biological analytes, such as Salmonella typhi, have been collected from wastewater via passive sampling with Moore swabs. In response to the COVID-19 pandemic, passive sampling is re-emerging as a promising technique to monitor SARS-CoV-2 RNA in wastewater. Method comparisons and disease surveillance using composite, grab, and passive sampling for SARS-CoV-2 RNA detection have found passive sampling with a variety of materials routinely produced qualitative results superior to grab samples and useful for sub-sewershed surveillance of COVID-19. Among individual studies, SARS-CoV-2 RNA concentrations derived from passive samplers demonstrated heterogeneous correlation with concentrations from paired composite samples ranging from weak (R2 = 0.27, 0.31) to moderate (R2 = 0.59) to strong (R2 = 0.76). Among passive sampler materials, electronegative membranes have shown great promise with linear uptake of SARS-CoV-2 RNA observed for exposure durations of 24 to 48 h and in several cases RNA positivity on par with composite samples. Continuing development of passive sampling methods for the surveillance of infectious diseases via diverse forms of fecal waste should focus on optimizing sampler materials for the efficient uptake and recovery of biological analytes, kit-free extraction, and resource-efficient testing methods capable of rapidly producing qualitative or quantitative data. With such refinements passive sampling could prove to be a fundamental tool for scaling wastewater surveillance of infectious disease, especially among the 1.8 billion persons living in low-resource settings served by non-traditional wastewater collection infrastructure.
Very few studies have been undertaken on water quality from mobile homes, with most information coming from press and policy reports suggesting that people living in mobile homes in the US have poor water quality. Our goal was to evaluate resident exposure to microbes at the point of use of tap water sourced from the Oasis Mobile Homes Park (OMHP), using physico-chemical parameters, concentrations of target cultivatable microbes, and quantitative polymerase chain reaction (qPCR) analyses. In this study, we sampled 15 mobile homes (MHs) and found arsenic concentrations to be 4–8 times above the acceptable EPA standard of 10 ppm. Our qPCR demonstrated high concentrations of gene targets for Salmonella spp., L . monocytogenes , P . aeruginosa , C . jejuni , E . faecalis , and E . coli in one or more of our sampled mobile homes. Except for MH4, which had the highest concentration of L . monocytogenes and E . faecalis , all MHs had different predominant microorganisms. Based on the physico-chemical parameters and our microbiological analysis, we conclude that drinking water from MH taps in the OMHP is unsafe for consumption.
Even as progress has been made in extending access to safe water and sanitation under the Sustainable Development Goals (SDGs), substantial disparities in water, sanitation, and hygiene (WASH) services persist in high-income countries around the world. These gaps in service occur disproportionately among historically marginalized, rural, informal, and Indigenous communities. This paper synthesizes results from a side session convened at the 2020 University of North Carolina, Chapel Hill, Water and Health conference focused on knowledge gaps, challenges, and approaches to achieve SDG 6 among marginalized communities in high-income countries. We provide approaches and next steps to advance sustainable WASH services in communities that have often been overlooked.
Abstract Background The metropolitan area of Lima, Peru has a third of the nation’s population living in slum dwellings that are hypothesized to contribute to inefficient household hygienic practices. The purpose of this study was to quantitatively assess which living conditions have the greatest impact on handwashing practices. Methods A cross-sectional epidemiological design of participants ≥16 y of age from San Juan de Miraflores, a slum on the outskirts of Lima, Peru, was used. Poisson regression was applied to assess the impact of living conditions on handwashing practices. Results We could not demonstrate a relationship between living conditions (home structure, overcrowding, water, grey water disposal) and reported handwashing. The reported lack of handwashing is associated with the number of children in the home (those with children <5 y of age were more likely not to report washing their hands) and length of stay in the slum in years. Conclusions Living conditions play an important role in one’s health, therefore improved study designs are needed to determine which strategies are likely to be the most effective in improving outcomes for slum dwellers.
AbstractBackgroundThe use of the Asian tobacco waterpipe (TWP) in the Lao People's Democratic Republic represents a potential communal source of infectious disease. This practice of smoking can lead to weakened defences of a smoker's respiratory epithelium, making the smoker vulnerable to respiratory diseases such as coronavirus disease 2019, tuberculosis and others.MethodsThis study evaluated the water quality and hygiene factors among 43 smokers of five villages in rural Luang Namtha Province. Water samples were collected from participant's TWPs and assessed for the presence of Escherichia coli, coliforms and aerobic plate count (APC) bacteria using the 3M Petrifilm.ResultsThe microbial indicator testing results were 95% positive for the APC, 38% positive for coliforms and 17% positive for the E. coli indicator. The concentrations were highest for the APC, with an average of 106 colony forming units (cfu)/ml, followed by coliforms with <100 cfu/ml and lowest for E. coli with <10 cfu/ml. Most TWPs were infrequently cleaned, heavily used and contained a warm, brown-coloured water.ConclusionsThe warm, dark and moist internal water container may facilitate microbial survival and growth. The use of a TWP adds several unstudied modes of transmission to a complex and common biobehavioural and environmental pathogen exposure. Future TWP cessation activities should be tailored to consider risks of infectious disease transmission.
Drinking water quality from sources other than tap water is increasingly becoming a source of concern in many communities. Communities in the Eastern Coachella Valley (ECV), Riverside County, California, USA have raised concerns regarding bulk drinking water from water vending machines (WVMs) found in public vendors. To address concerns, we conducted microbiological contamination assessments of drinking water from WVMs in the ECV using heterotrophic plate counts (HPC), the presence of total coliforms using IDEXX technology, and real-time PCR (qPCR). We also measured temperature, pH, electrical conductivity, and free chlorine concentration. Twenty-five WVMs were sampled by using positively charged NanoCeram® filters in the field. Results indicated 32% of WVMs had total coliforms, and 21% had HPC above Environmental Protection Agency (EPA) requirements. Through qPCR, we found 81% of WVMs had Salmonella spp., Listeria monocytogenes, and Campylobacter jejuni, 76% had Enterococcus faecalis, and 90% had Pseudomonas aeruginosa. Results indicated most WVM samples we collected contained genetic material of pathogenic microorganisms and therefore, did not meet EPA drinking water standards. There is an urgency to enforce WVM maintenance through drain flushing, spigot cleaning, rust removal, filter replacement, and limits to physico-chemical parameters.