Hazard Exposure Research Articles

African Schistosomiasis: A Framework of Indicators Assessing the Transmission Risk and Intervention Effectiveness

Schistosomiasis, a parasitic disease with a complex transmission mechanism, requiring a snail intermediate host, is influenced by biology, the environment, human behavior and the prevailing socioeconomic situation. This study aimed to systematically investigate the importance and feasibility of indicators related to the factors influencing transmission and intervention measures for Schistosoma mansoni and S. haematobium. Based on a literature review and group discussions according to the Delphi method, a framework questionnaire was designed. A total of 33 experts on schistosomiasis were invited, and 27 were accepted, to rate the importance and feasibility of indicators for transmission with and the control of schistosomiasis, with a focus on intervention measures for S. mansoni and S. haematobium infections in Zimbabwe. After two rounds of Delphi consultations with these experts, calculated to have a high average authority coefficient (0.88), a consensus was reached on a framework that included 2 primary, 6 secondary and 39 tertiary indicators. The Delphi–entropy method was applied to assess the weight of each indicator. The key influencing factors included hazardous water exposure, accessibility to safe drinking water, sanitary facilities and the contamination of water bodies by outdoor defecation/urinary habits. The intervention measures involved improved diagnostics, health education, preventive chemotherapy, the presence of national control plans and the implementation of the strategy on water, sanitation and hygiene (WASH). While these factors are already well known, their detailed order of importance could help to improve the allocation of specific control efforts.

Population exposure to flooding in Small Island Developing States under climate change

Abstract Estimates of current and future population exposure to both coastal and inland flooding do not exist consistently in all Small Island Developing States (SIDS), despite these being some of the places most at risk to climate change. This has primarily been due to a lack of suitable or complete data. In this paper, we utilise a ∼30 m global hydrodynamic flood model to estimate population exposure to coastal and inland flood hazard in all SIDS under present day, as well as under low, intermediate, and very high emissions climate change scenarios (SSP1-2.6, SSP2-4.5 and SSP5-8.5). Our analysis shows that present day population exposure to flooding in SIDS is high (19.5% total population: 100 year flood hazard), varies widely depending on the location (3%–66%), and increases under all three climate scenarios—even if global temperatures remain below 2 °C warming (range in percentage change between present day and SSP1-2.6: −4.5%–44%). We find that levels of flood hazard and population exposure are not strongly linked, and that indirect measures of exposure in common vulnerability or risk indicators do not adequately capture the complex drivers of flood hazard and population exposure in SIDS. The most exposed places under the lowest climate change scenario (SSP1-2.6) continue to be the most exposed under the highest climate change scenario (SSP5-8.5), meaning investment in adaptation in these locations is likely robust to climate scenario uncertainty.

Critical periods of maternal exposure to ambient fine particulate matter and the risks of stillbirth and spontaneous preterm birth in Western Australia

Few studies have investigated weekly or monthly exposure-lag-response association between fine particulate matter (PM2.5) and preterm birth, and there has been no known such study for stillbirth. We aimed to identify potential critical susceptible periods of the association between monthly PM2.5 exposure during pregnancy and stillbirth and spontaneous preterm birth (sPTB). A total of 414,771 singleton births, of which 0.5% and 3.9% were stillbirth and sPTB respectively, between 1st January 2000 and 31st December 2015 in Western Australia were linked to fine spatiotemporal monthly PM2.5 concentrations. Monthly distributed lag linear and non-linear Cox regressions were performed to investigate PM2.5 exposure during pregnancy and covariate-adjusted hazards of stillbirth and sPTB. The mean PM2.5 exposure during pregnancy was 8.1 μg/m3. Pregnancy PM2.5 exposure showed small dose-response associations with stillbirth and sPTB with critical susceptible periods spanning the 3rd–6th gestational months. Relative to 5 μg/m3, the strongest hazards of PM2.5 exposure were 1.04 (95% CI 0.99, 1.08) and 1.03 (95% CI 1.02, 1.05) during the 4th gestational month for stillbirth and sPTB, respectively. Monthly exposures at late pregnancy were associated with lower hazards. The average pregnancy exposure hazards were 1.08 (95% CI 0.88, 1.32) and 1.07 (95% CI 0.99, 1.15) per 5 μg/m3 increment for stillbirth and sPTB, respectively. The average entire pregnancy exposure showed potential attributable burden, synergistic interaction effects with biothermal stress, and comparatively higher hazards for female births and births to mothers who were Caucasian, < 35 years old, high SES, nulliparous, and smoked during pregnancy.

Assessment of healthy worker survivor bias among middle-aged manufacturing employees in Korea

Abstract Background Healthy Worker Survivor Bias (HWSB) describes a selection bias where those continuously employed tend to exhibit superior health outcomes compared to their unemployed counterparts. This bias challenges for adjustments due to its time-dependent nature. This study aims to evaluate the extent of HWSB related to changes in employment status among middle-aged manufacturing workers using comprehensive national data from Korea. Methods The study analyzed data from the National Health Insurance Service, targeting individuals aged 40-49 who maintained consistent insurance coverage-either as manufacturing employees or non-employees (self-employed or unemployed)-from 2008 to 2010. The observation period spanned from January 2011 to December 2022, with all-cause mortality as the primary outcome. We employed landmark analysis to quantify HWSB related to employment status by comparing age-standardized mortality ratios between employees and the general population from the initial assessment to the last landmark period (up to 7 years), calculating 95% confidence intervals (CI) using Poisson distribution. Results The cohort included 4,621,983 participants (726,616 manufacturing employees and 3,895,367 (84.3%) non-employees). Throughout an average follow-up of 10.9 years (43.1% male; median age of 44), there were 116,418 deaths (11,530 (1.6%) among manufacturing employees and 104,888 (2.7%) among non-employees). Analysis revealed a consistent linear increase in HWSB over time. Notably, the bias was more pronounced among females (7-year HWSB-ES [95% CI]: 0.27 [0.17-0.37]) compared to males (7-year HWSB-ES [95% CI]: 0.18 [0.14-0.22]). Conclusions This study quantifies the extent of HWSB among middle-aged manufacturing workers in Korea, highlighting its significant impact, notably in females. These findings are vital for occupational health research, emphasizing the necessity to consider HWSB to prevent the underestimation of health risks associated with hazardous exposures. Key messages • Findings suggest HWSB is more pronounced in female manufacturing workers, indicating the need for targeted occupational health interventions. • The study underscores the importance of accounting for HWSB in occupational health studies to avoid underestimating health risks associated with workplace exposures.

Geospatial clustering of auto-antibodies against apolipoprotein A-1, heavy metals, cardiovascular and liver diseases in the general population

Abstract Aims Heavy metals (HM) are combustion-related environmental factors predisposing to cardiovascular (CVD), autoimmune and liver diseases, even below regulatory concentrations. Pro-atherogenic and pro-steatotic auto-antibodies against apolipoprotein A1 (AAA1) are prevalent in the general population for unclear reasons. We explored a putative interplay between HM exposure, AAA1, CVD risk factors and a non-alcoholic fatty liver disease (NAFLD) risk score, using a geospatial clustering approach at the general population level. Methods Getis-Ord, Moran I2 clustering and geographically weighted regression (GWR) geosptatial analyses were carried out on 6361 individuals recruited in the CoLaus/PsyCoLaus general population cohort. Geospatial dependences between serum AAA1, urinary HM (cadmium, arsenic, cobalt) concentrations, SCORE2 CVD risk, and fatty liver index (FLI) were assessed. Results Cadmium and cobalt were found to be associated with higher SCORE2 risk (p&amp;lt;0.04). AAA1 were associated with higher cadmium, cobalt, and cigarette consumption, independently of SCORE2 (p&amp;lt;0.04). AAA1 hotspots overlapped significantly with those of cadmium and FLI, independently of SCORE2. According to GWR, correlations between cadmium and AAA1 were the highest in railways proximity regions, increasing up to 10-fold compared to global associations. AAA1 were not associated with other HM. Conclusions These geospatial footprints highlight independent associations between Cadmium, AAA1, and NAFLD risk score in the general population. We hypothesize that environmental cadmium exposure may facilitate the occurrence of AAA1 in humans. Ongoing experimental studies will confirm/refute a possible causal link. Whether AAA1 could represent an early biological signature of cadmium exposure and subsequent health hazards remains to be shown.

Neurotoxic and developmental effects of scented incense stick smoke: Network toxicology and zebrafish model study

Burning incense sticks is a traditional practice in many cultures, especially in Southeast Asia. While it is often regarded as sacred and beneficial, modern incense sticks contain various chemicals that can pose health risks. A GCMS analysis of the ICS revealed potential compounds. Network toxicology revealed that ICS contains compounds violating Lipinski's rule of five, leading to potential neurotoxic effects. Key pathways affected include neuroactive ligand-receptor interaction and calcium signaling, associated with neurodegenerative diseases like Parkinson's and Alzheimer's. Significant genes involved are STAT3, BCL2, and MTOR, emphasizing the chemical hazards of ICS exposure. We investigated the toxicity of ICS using zebrafish (Danio rerio) embryos as a mode. ICS exposure resulted in a dose-dependent increase in toxicity. High concentrations (7 and 14 µg/ml) led to immediate mortality, while lower concentrations (0.1, 0.3, 0.5, and 1 µg/ml) caused developmental defects such as yolk sac edema, skeletal malformations, and pericardial edema. Mortality rates increased with higher concentrations, confirming dose-dependent ICS exposure caused hypoactive locomotion, with reduced distance traveled and velocity toxicity. Higher concentrations of ICS led to increased ROS levels and cellular damage, as evidenced by enhanced staining levels. A dose-dependent increase in lipid peroxidation (DPPP assay) and lipid accumulation (Nile red assay) was observed. Higher ICS concentrations led to significant oxidative damage to lipids and increased lipid deposition. Enzymatic assays showed that ICS exposure significantly decreased the activities of antioxidant enzymes SOD and CAT, indicating impaired antioxidant defense, while increasing LDH activity, signaling tissue damage and cytotoxicity. Gene expression analysis revealed downregulation of SOD1 and CAT genes, upregulation of inflammatory genes TNF-α and IL-1β, and increased expression of the apoptotic gene p53 with decreased expression of Bcl-2 and BDNF. These findings highlight ICS's potential to cause oxidative stress, inflammation, apoptosis, and neurodevelopmental impairments.

Applying similar modeling to study vehicle exhaust transport in a confined mining space

To scientifically and effectively manage exhaust pollution in underground confined spaces and reduce hazards from personnel exhaust exposure, a systematic study of the distribution characteristics of diesel locomotive exhaust emissions in mines is needed. Aiming at large underground coal mining operations, an experimental platform for the physical simulation of vehicle exhaust transport in restricted spaces is designed and created. The Hongliulin Coal Mine in Shaanxi Province, China, is used as a prototype, and the platform consists of a coal mining face system, ventilation system, exhaust emission system, monitoring and surveillance system, and control platform. The experimental platform with carbon dioxide simulation of diesel exhaust pollution, in the role of different wind speed, the concentration of carbon dioxide is a downward trend, the wind speed is in the low wind speed on the 0.2 m of the concentration difference of 25.75%; the experimental platform exhaust transport process presents a clear “three-zone” change rule; experimental platform carbon dioxide concentration and the field nitrogen dioxide concentration change trend is consistent. The platform functions and features can provide guidance for mine exhaust management and exhaust exposure hazard prevention and control.

Assessment of Fine-Scale Urban Heat Health Risk and Its Potential Driving Factors Based on Local Climate Zones in Shenzhen, China

Cities are facing increased heat-related health risks (HHRs) due to the combined effects of global warming and rapid urbanization. However, few studies have focused on HHR assessment based on fine-scale information. Moreover, most studies only analyze spatial HHR patterns and do not explore the potential driving factors. In this study, we estimated the potential HHRs based on the “hazard–exposure–vulnerability” framework by using multisource data, including the modified thermal–humidity index (MTHI), population density, and land cover. Then, the variations in the HHRs among different local climate zones (LCZs) at the fine spatial scale were analyzed in detail. Finally, we compared the different contributions of the LCZs and types of land cover to the HHRs and their three components by using multiple linear regression models. The results indicate that the spatial pattern of the HHRs was different from those of the individual components, and high-hazard regions do not mean high HHRs. There were huge variations in the HHRs among the different LCZs. The built-up LCZs typically had much higher HHRs than the natural ones, with compact LCZs facing the most severe risk. LCZ 6 (open low-rise buildings) had a relatively low HHR and should be paid more attention in future urban planning. Compared to the LCZs, the land covers better explained the variations in the HHR. In contrast, the LCZs better predicted the land surface temperatures. However, both the LCZs and land covers made only slight contributions to the heat exposure and vulnerability. Furthermore, the manmade buildings and impervious surface areas contributed much more to the HHR than the natural land covers. Therefore, the arrangement of the warming LCZs and land cover types is worthy of further investigation from the perspective of HHR mitigation.

Insurance Coverage and Flood Exposure in the Gulf of Mexico: Scale, Social Vulnerability, Urban Form, and Risk Measures

Increasing flood losses in the Gulf of Mexico related to development patterns and climate hazards pose serious threats to resilience and insurability. The purpose of this study is to understand how scale, social vulnerability, risk, and urban form relate to National Flood Insurance Program (NFIP) policy coverage and flood exposure. Our multilevel models identify that flooding is significantly clustered by region and counties, especially shoreline counties. Our measures of risk suggest that the Federal Emergency Management Agency (FEMA) special flood hazard area (SFHA) underestimates risk and exposure when compared with the Flood Factor and that there is some compensation in terms of insurance coverage, suggesting a pattern of adverse selection. Older housing stock appears both less insured and less exposed, raising questions of whether current growth patterns are increasing risk independent of environmental change. Our models suggest that census tracts with higher percentages of black residents are less insured and more exposed, and a similar pattern exists for rural areas. Our results highlight the need to seek common solutions across the Gulf of Mexico, concentrating on the most flood-exposed counties, and that specific resilience strategies may be necessary to protect areas with socially vulnerable populations, especially in rural areas. Underlying challenges exist due to the spatial relationship between exposure and social vulnerability and the potential for adverse selection in insurance markets due to different measures of risk.

Potential health risks of inhaling hazardous chemical exposures at fuel stations: a pilot study in a hot, arid environment

In recent years, there has been a growing focus on the issue of exposure to hazardous chemical compounds and the potential health risks associated with them. Fuel stations play a critical role in society, supporting the transportation industry and serving the general public. However, the routine activities at these stations expose workers and customers to dangerous chemical compounds, posing potential health risks. As part of a pilot study, the exposure of workers and customers to hazardous chemical compounds at fuel stations in Kuwait, characterized by its hot and arid environment, was investigated. The study specifically looked at volatile organic compounds (VOC) concentration and their effects on human health. Three hundred-eight air samples were collected in a hot, arid environment, focusing on fuel stations. Two sampling methods were used in this pilot study: personal inhalation exposure using active sampling and workplace air sampling using passive sampling. Samples were collected in fuel filling areas, indoor control rooms, and through personal exposures, adhering to ISO procedures (EPA TO-17). The study also assessed the non-carcinogenic and carcinogenic risks to human health to potential exposure to hazardous hazardous chemicals. The findings revealed that hazardous chemicals levels in the pump area were lower than those in the indoor control rooms. Workers’ inhalation exposure to hazardous chemicals remained below the international occupational exposure limit (OEL). However, the study identified unsafe inhalation exposure levels to Benzene, which could have adverse carcinogenic effects. In contrast, exposure to ethylbenzene was found to be within safe limits, with no associated carcinogenic effects. This study underscores the importance of identifying the risks associated with exposure to hazardous chemical compounds to minimize human health risks and promote a safe working environment.

Residential relocation and changes in patterns of environmental exposures by health determinants among children and adolescents in Catalonia, Spain

Residential relocation leads to environmental changes, besides being likely to be influenced by sociodemographic characteristics. The relationship between them is, however, still not well described. We aimed to investigate changes in patterns of urban, natural and physical environmental exposures due to relocation and related sociodemographic determinants in a population-based cohort study of children and adolescents. We included individuals between 0 and 17 years of age, registered in primary healthcare records in Catalonia, Spain from 2006 to 2018 and categorized them as non-movers and movers (first residential change). Hierarchical clustering identified groups of individuals based on their exposure to air pollution, green spaces and built environment. Low, medium and high environmental hazard exposure clusters were identified, which were used to identify changes in environmental exposure patterns due to relocation, namely same, worse, and better environment. Multinomial logistic regression determined whether sex, age, nationality and area-level deprivation influenced these changes. From 1,316,138 individuals, 221,058 were movers. Compared to non-movers, movers were more frequently with foreign nationality (12.1% vs. 21.3%, respectively) and more likely to live in the most deprived areas at baseline (19.2% vs. 24.4%). Younger children had higher risk of moving to better or worse environments. Individuals living in areas with the highest levels of deprivation were least likely to move within the same environments (i.e., either moving to better (Odds Ratio [95% Confidence Interval] 1.39[1.34–1.44]) or worse environment (1.56[1.49–1.63])). Compared to people from Spain, those from Africa moved to similar environments (OR of moving to a better environment 0.90 (0.87–0.94) with respect to move to the same environment, and OR of moving to a worse environment 0.82 (0.78–0.85)), those from America tended to move to other environments (1.17 (1.12–1.23) better and 1.09 (1.03–1.15) worse), while those from Asia and Europe moved to better environments (1.22 (1.12–1.33) and 1.20 (1.14–1.27) respectively). No associations were found for sex. Changes in patterns of environmental exposures due to residential mobility are complex and may be determined by age, deprivation and nationality.

Ambient smoke exposure and indoor air quality in eastern Massachusetts during the 2023 wildfire season

ABSTRACT Widespread North American wildfires in 2023 led to exposure to ambient wildfire smoke outside of traditionally wildfire-prone regions. The objective was to evaluate levels of indoor air pollutants in relation to ambient wildfire smoke exposure in eastern Massachusetts. Using a real-time multipollutant sensor system in five Boston area households, this study assessed indoor fine particulate matter (PM2.5), nitrogen dioxide (NO2), and total volatile organic compound concentrations (TVOC) two days before and during days of hazardous wildfire smoke exposure (smoke days). The relationship between ambient PM2.5 from regulatory monitors and indoor PM2.5 before and during smoke days was investigated by mixed effects linear regression. During smoke days and the preceding non-smoke days, median indoor PM2.5 was 9.9 µg/m3 and 3.5 µg/m3 (p < 0.001), respectively; median NO2 was 20.5 ppb and 18.4 ppb (p = 0.11); median TVOC was 6,715 µg/m3 and 5,361 µg/m3 (p = 0.35). A 1% increase in ambient PM2.5 was associated with a 0.93% increase in indoor PM2.5 on smoke days (95% CI, 0.54%–1.32%) and a 0.34% increase on non-smoke days (95% CI, 0.17%–0.66%), though interaction testing of smoke day status was not statistically significant (p = 0.14). In Northeastern US homes, indoor PM2.5 increased significantly during ambient wildfire smoke exposure, which may reflect increased infiltration and increased indoor particle-generating activities during smoke days. Implications: This study reports on household exposure to wildfire smoke in eastern Massachusetts, finding that indoor PM2.5 more than doubled compared to preceding non-smoke days, while indoor NO2 and TVOC did not significantly rise. Though the generalizability of this study is limited by the small number of homes studied, the findings suggest that more investigation is needed to understand indoor air pollution during future wildfire smoke exposure in regions not traditionally wildfire-prone and to inform mitigation efforts.

Machine Learning-Aided 3D Dynamic SERS Strategy for Physiological Mapping: Biotoxicity of Environmentally Dimensional Aged Nanoplastics and Corresponding Protein Corona Complexes.

Nanoplastics (NPs) are emerging pollutants that undergo inevitable aging in the environment, raising concerns about human exposure and health hazards. Research on the cytotoxicity of various polymer types of NPs, aged nanoplastics (aNPs), and their interactions with proteins (aNPs-protein corona) is still nascent. Traditional cytotoxicity detection methods often rely on end point assays with restricted temporal resolution and analysis of single or multiple biomarkers. Here, we propose a novel approach integrating the 3D dynamic SERS strategy (DSS) with machine learning to rapidly analyze the cell fate and death modes induced by NPs, aNPs, and aNPs-protein corona complexes at the molecular level. PS, PVC, PMMA, and PC products from the water environment were used to prepare the corresponding NPs, and the impact of UV irradiation on their physicochemical properties was examined. DSS systematically maps the molecular changes in the cellular secretome caused by these NPs. Machine learning effectively extracts information from complex spectra, differentiating between biological samples. Results show prolonged UV exposure increases cell sensitivity to ferroptosis and cytotoxicity in various aNPs, while the protein corona on aNPs significantly mitigates toxicity associated with surface oxygen-containing functional groups, resulting in a reduced similarity to ferroptosis signatures. 3D DSS with machine learning technique analyzes the overall metabolite profile at the molecular level rather than individual biomarkers. This study is the first attempt to compare the biotoxicity of diverse polymer NPs, aNPs, and aNPs-protein coronas at cellular and molecular levels in human hepatocytes, enhancing our understanding of the complex biological impacts of NPs.

Unpacking “Social Vulnerability” and “Equity”: Critical Insights From Stormwater Climate Adaptation Research in the US Gulf Coast

AbstractThis paper assesses how the concepts of social vulnerability and equity are discursively constructed in co‐production research settings with a co‐created decision support tool. The data was collected during workshops (32 communities represented) and interviews (24 communities represented) with stormwater managers and stakeholders (SMS) working in small cities, counties/parishes, and villages and towns within 100 miles of the US Gulf Coast. Findings from participant observation of workshops show that SMS express similar viewpoints regarding indicators of social vulnerability to climate‐related hazards, often defining vulnerable people as less physically mobile or as having few monetary resources. Individuals articulated “community” through a lens of homeownership and often described their relationship to residents as strained. Findings from interviews reveal divergent viewpoints on the imperative and rationale for integrating social vulnerability data into stormwater assessments and planning. Interviews also generated more critical reflection than was present in workshops regarding racial disparities in flood hazard exposure. A key insight from this article is that tools and team composition matter but there is nuance in the degree to which they matter considering a range of contextual factors. The article argues that co‐production teams must plan for alternatives and different scenarios given the messiness of co‐production in practice and that research is needed to reveal the conditions under which specific tools matter for equity in terms of both process and outcomes.

Context matters when evacuating large cities: Shifting the focus from individual characteristics to location and social vulnerability

Climate change is driving extreme weather, heat and flooding, which increasingly require evacuations. Recent studies have found inconclusive results on the determinants of evacuation-related decisions and have reported widely varying evacuation rates, especially in high-density areas. We use a large dataset of geotagged evacuation choices in Paris, France (n = 2976) during a flood, to show that while they are rarely addressed, location, social vulnerability, length of residence, and hazard exposure are critical predictors. They can be used to infer the impact of previous experience on evacuation intentions, which is usually difficult to collect at scales relevant to decision-making. We address multiple evacuation choices over time that have previously been overlooked, including gradually self-fueling spontaneous evacuations after observations of peers evacuating or flooding proximity and post-impact evacuation due to infrastructure disruption. Our findings reveal that many people wait until their home is flooded to evacuate. The gap between the initial share of people leaving immediately and the minority refusing to leave in any case even after their housing is flooded gradually fills when considering different evacuation behaviors over time. Such chronology might explain the wide range of evacuation rates reported in the literature. However, people in vulnerable situations and with increased hazard exposure are more likely to declare that they would disregard evacuation instructions. One key implication is that policies aimed at reducing social vulnerability might be more effective than communication campaigns to increase preparedness and support evacuation.

A Scoping Review of Angiostrongyliasis and Other Diseases Associated with Terrestrial Mollusks, Including Lissachatina fulica: An Overview of Case Reports and Series.

Terrestrial mollusks, including the invasive giant African snail (Lissachatina fulica), pose significant public health risks due to their role as carriers of various pathogens, such as Angiostrongylus cantonensis and Angiostrongylus costaricensis. This scoping review aims to provide a comprehensive evaluation of diseases associated with Lissachatina fulica and other terrestrial mollusks, with a particular focus on the prevention, diagnosis, and treatment of these conditions. Following the Joanna Briggs Institute guidelines and the PRISMA-ScR framework, we conducted a systematic search and filtered results, identifying 27 relevant case reports and series for analysis. Our findings reveal that ingesting raw or undercooked snails is the most hazardous exposure route, with a 75% mortality rate in affected adults, particularly in regions where snail consumption is culturally significant, such as France. A. cantonensis is the primary cause of eosinophilic meningitis, while A. costaricensis leads to abdominal angiostrongyliasis. The review also highlights the widespread impact of L. fulica in countries like France, the United States, Brazil, and Colombia, emphasizing the global nature of the threat. Children show consistent vulnerability across all exposure types, underscoring the need for targeted preventive strategies. This review underscores the urgent need for public health interventions, particularly educational campaigns to inform communities about the dangers of L. fulica. Additionally, it highlights the importance of enhancing diagnostic methods and expanding surveillance to better manage the risks associated with these invasive snails. The findings provide valuable insights for the scientific community and recommend a multidisciplinary approach to effectively mitigate the public health risks posed by L. fulica across diverse regions.

An operational discontinuous Galerkin shallow water model for coastal flood assessment

Hydrodynamic modeling for coastal flooding risk assessment is a highly relevant topic. Many operational tools available for this purpose use numerical techniques and implementation paradigms that reach their limits when confronted with modern requirements in terms of resolution and performances. In this work, we present a novel operational tool for coastal hazards predictions, currently employed by the BRGM agency (the French Geological Survey) to carry out its flooding hazard exposure studies and coastal risk prevention plans on International and French territories. The model, called UHAINA (wave in the Basque language), is based on an arbitrary high-order discontinuous Galerkin discretization of the nonlinear shallow water equations with SSP Runge–Kutta time stepping on unstructured triangular grids. It is built upon the finite element library AeroSol, which provides a modern C++ software architecture and high scalability, making it suitable for HPC applications. The paper provides a detailed development of the mathematical and numerical framework of the model, focusing on two key-ingredients : (i) a pragmatic P0 treatment of the solution in partially dry cells which garantees efficiently well-balancedness, positivity and mass conservation at any polynomial order; (ii) an artificial viscosity method based on the physical dissipation of the system of equations providing nonlinear stability for non-smooth solutions. A set of numerical validations on accademic benchmarks is performed to highlight the efficiency of these approaches. Finally, UHAINA is applied on a real operational case of study, demonstrating very satisfactory results.

A critical review of public health policies for radiation protection and safety

The increasing use of radiation in various sectors, including medicine, industry, and research, underscores the need for robust public health policies to ensure radiation protection and safety. This critical review examines the effectiveness of current public health policies aimed at mitigating the risks associated with radiation exposure. The review synthesizes findings from peer-reviewed literature and official reports to evaluate the strengths and weaknesses of existing frameworks. Public health policies for radiation protection are designed to safeguard individuals and communities from the potential hazards of radiation exposure. These policies include regulatory standards for radiation use, safety protocols in medical and industrial settings, and public education programs. The review explores the evolution of these policies over time, highlighting significant regulatory milestones and their impact on radiation safety. Key areas of focus include the effectiveness of international guidelines and national regulations, such as those established by the International Atomic Energy Agency (IAEA) and national bodies like the U.S. Environmental Protection Agency (EPA) and the European Commission. The review assesses how well these guidelines are implemented and adhered to in practice, identifying gaps in enforcement and areas where policies may fall short. The review also examines the role of risk communication and public awareness in shaping effective radiation protection policies. It discusses how well current policies address the needs of vulnerable populations and how they balance the benefits of radiation use with potential health risks. Challenges such as emerging technologies, changes in radiation exposure patterns, and the need for ongoing policy adaptation are also considered. The review concludes with recommendations for strengthening public health policies, including enhancing regulatory oversight, improving risk communication strategies, and investing in research to address new and evolving radiation safety issues. Overall, this review underscores the importance of continuous evaluation and adaptation of public health policies to ensure effective radiation protection and safety in an ever-changing technological landscape.

Perceived risk, health protective behavior, and trust: a case study of the flint water crisis

ABSTRACT The Flint Water Crisis exemplifies one of the most significant environmental disasters in the recent U.S. history. While hazard exposure and effects pertaining to the crisis have been addressed, and technical experts have pronounced Flint’s water safe for consumption, media reports and stories from community members suggest that significant distrust remains among residents regarding their water supply. We use data from an online survey administered in Flint and surrounding counties in Southeast Michigan to examine the extent and variation in risk perception, health protective behavior, and trust in these communities with respect to their water supply. Conceptually, we engage the Social Amplification of Risk Framework. Accordingly, Flint residents indeed have higher risk perceptions and report higher negative health impacts compared to residents in surrounding counties. They also report engaging in more health protective behavior. On the contrary, Flint residents express lower levels of trust in entities that are tasked with managing risks. Risk perception, negative health experience, and trust appear as statistically significant correlates of Flint residents’ confidence in their water supply. The salience and variation of attitudes across the region suggests that the water crisis has had ripple effects as predicted by the Social Amplification of Risk Framework.

Health Hazards Associated with Dietary Exposure of Female Rat to Cadmium-Contaminated Cooked Rice: Biochemical, Hormonal, and Histopathological Analysis.

The actual exposure, bioavailability, and body burden of dietary cadmium (Cd) vary with the food matrix. Here, we evaluated the health hazards of 45-day long-term exposure of growing Sprague-Dawley (SD) female rats to a natural and endogenous Cd-contaminated brown and white cooked rice dietary model. Cd was found mainly in the duodenum, kidney, and liver; the cecum and colon also contained substantial amounts of Cd in rats fed Cd-contaminated cooked white rice (cWR-test) but not Cd-contaminated cooked brown rice (cBR-test). Damage due to Cd exposure was reflected in liver dysfunction, altered estradiol levels, and distinctive pathologies in organ systems, although urinary Cd (U-Cd) excretion and blood Cd (B-Cd) were not detectable, suggesting that these are not the most accurate or appropriate biomarkers for evaluating dietary Cd exposure. Brown rice, despite being higher in Cd, can reduce Cd absorption and distribution in organs and increase the volume of Cd-containing feces, even achieving slightly higher excretion and lower apparent absorption rates of Cd than white rice, thereby reducing Cd damage to the body. The beneficial components of brown rice such as more dietary fiber, rice bran oil and polyphenol were speculated therefore to confer a degree of protection or repair. Nevertheless, the high apparent absorption levels observed here (> 5%) and signs of significant physical damage indicate that more stringent Cd intake guidelines and measures are needed to minimize Cd levels in rice.