Comparative Optimism: Relative Risk Perception and Behavioral Response to Lead Exposure.

Despite their true exposure, individuals with Comparative Optimism consider themselves less prone to the adverse health effects of pollution. Since individuals' response to a given environmental risk is affected by their appraisal of the risk, those with Comparative Optimism may be less likely to engage in prescribed behaviors or to do so at the urgency required of the given risk. Such limited or delayed response can amplify the risk instead of reducing it. Thus, there is a need to understand if Comparative Optimism applies to pollutants with irreversible adverse health effects as it would impose a higher burden. There is also a need to know which segments of the population are prone to Comparative Optimism and how it manifests in terms of activities that can enhance exposure. Doing so will allow public health professionals address gaps in risk communication and management efforts and help improve environmental health outcomes. Using survey data, we assess the presence, behavioral and socioeconomic predictors, and implications of Comparative Optimism for communicating and managing lead exposure risk in an urban setting. Our results indicate that a large share of the population has Comparative Optimism for lead exposure, despite living in a city that has a relatively higher lead poisoning burden. We also found that ethnicity, income, length of stay at residence, among others, predict Comparative Optimism, suggesting that Comparative Optimism may predict elevated blood lead level.

Valuing visitor access to forested areas and exploring willingness to pay for forest conservation and restoration finance: The case of small island developing state of Mauritius.

Small island developing states share as common constraints their small size, geographical dispersion, greater vulnerability to rapid and drastic environmental change, and limited administrative and technical resources. Within these, they have to cater for urban and agricultural areas, as well as enough natural landscape for ecosystem services. Funding for conservation of forest ecosystems on these islands has received relatively less attention and national park systems are chronically underfunded. We used Mauritius as a case study to investigate the willingness to pay for conservation of state and privately owned forests. It is part of a biodiversity hotspot with highly threatened forest ecosystems, but has known some conservation successes. We designed and administered survey based contingent valuation approach to estimate the willingness to pay entry fees to visit forest areas across the island. Study results suggest international and domestic tourists have a mean willingness to pay of USD 7.73 and USD 3.74 respectively, for conservation. These values represent amounts visitors are willing to pay every time they visit a public or private forested site. Results show that mid-level supervisory roles positively influence willingness to pay values. Results also show that people aged 50 and above, not having any supervisory role, married with one child or less, tend to have lower willingness to pay for conservation.

Evaluation of the role of risk perception in stakeholder engagement to prevent lead exposure in an urban setting.

Stakeholder engagement is a vital sustainable remediation practice for obtaining useful feedback and identifying societal needs. Evaluating and integrating risk perception of stakeholders into remediation and outreach efforts allows for greater insight, increases the likelihood of success and ultimately, benefits the community by protecting its members from environmental hazards. In this study, we identified risk perception factors that influenced residents' level of concern for mitigating their exposure to elevated concentrations of lead in household paint and historic fill material. Risk perception factors were assessed by an in-person survey conducted in public green spaces. The analysis of survey participants' responses indicated that their perception of risk to exposed lead was mostly influenced by the presence of hazardous materials in close proximity to their residence, the ability to address pollution, and awareness, interest, and individual accountability in mitigating environmental risks. Responses also revealed that residents considered risk of lead and soil pollution as less menacing than the presence of more immediate and perceptible risks posed by factors such as air and water pollution. In addition, the community seemed to exhibit "optimism bias" and did not identify itself at high risk to susceptible and immediate hazards, including lead exposure. This lack of concern over lead exposure created a significant obstacle to community participation in state-led education and outreach programs. By integrating risk perception analysis and increasing stakeholder engagement, we can bring more attention to this issue, educate the public about the threat of lead pollution, and efficiently use financial resources to implement a more sustainable solution.

Understanding the factors affecting the quantity and composition of street litter: Implication for management practices.

Some urban areas have more litter than others. Understanding the reason for this is important not only for dealing with urban littering but also for marine water quality because approximately 80% of the world's marine litter originates on land. This study aimed to better understand the quality and quantity of litter on sidewalks along with the sampling site's socio-economic attributes to better discern why some areas have more/different litter than others and what, if any, are the implications for a more tailored waste management strategy. We surveyed twice each of the 35 sites we selected from the Lower Passaic River watershed and the related Harbor Estuary within New Jersey, U.S.A. A total of 28,431 litter items were recorded with a total mass and volume of 245.8 kg and 4.7 m3, respectively. Floatable items accounted for 66% of all objects collected. Cigarette butts were the most numerous among all items (28%) and represented 43% of the total floatable items, the remaining 57% being represented by potentially recyclable items such as plastic, rubber, and Styrofoam. Stepwise linear regression was used to explore the relationship between the litter collected and various predictors. Among others, the results suggest the importance of strategically placing collection bins around properties with relatively lower assessed values, outdoor smoking areas, close to schools, and places where people predominantly walk to their destination. Possible management strategies include prohibiting single use plastic bags, limiting foam food ware, public education, and outreach.

Inaction on Lead Despite the Relevant Knowledge: Predictors, Covariates, and Outreach Implications.

Testing residential soil and paint for lead provides actionable information. By showing where and how much lead exists on the residence, it allows one to quantify risk and determine the best ways to reduce exposure along with the corresponding health and financial costs. For these reasons, several federal and state programs offer outreach to audiences on the benefits of testing residential soil and paint for lead. Not all individuals who know about lead's adverse health effects, however, test their residence for lead, potentially limiting the actionable information that could have helped to reduce their exposure. Such individuals represent a challenge to outreach programs and the broader public health objectives. There is, thus, a need to understand who such individuals are and why they behave this way, allowing us to develop a specialized outreach program that addresses the problem by targeting the relevant sub-population. Using survey data, we quantitatively determine the profiles of individuals who, despite knowing about lead's adverse health effects, are unlikely to test their residence for lead, finding statistically significant socio-economic predictors and behavioral covariates. We also find a geographic component to it, further helping outreach professionals learn how to allocate their limited resources.

Prediction of recreational water safety using Escherichia coli as an indicator: case study of the Passaic and Pompton rivers, New Jersey.

As contact with high concentrations of pathogens in a waterbody can cause waterborne diseases, Escherichia coli is commonly used as an indicator of water quality in routine public health monitoring of recreational freshwater ecosystems. However, traditional processes of detection and enumeration of pathogen indicators can be costly and are not time-sensitive enough to alarm recreational users. The predictive models developed to produce real-time predictions also have various methodological challenges, including arbitrary selection of explanatory variables, deterministic statistical approach, and heavy reliance on correlation instead of the more rigorous multivariate regression analyses, among others. The objective of this study is to address these challenges and develop a cost-effective and timely alternative for estimating pathogen indicators using real-time water quality and quantity data. As a case study we use New Jersey, where pathogens represent the most common cause of impairment for water quality, and Passaic and Pompton rivers, which are among the largest in the state and the country. We used Membrane Filtration Method and mColiblue24 media to enumerate Escherichia coli in a total of 69 water samples collected from April to November 2016 from the two rivers. We also collected data on environmental variables concurrently and performed stepwise and logistic regression analyses to address the said methodological challenges and determine the variables significantly predicting whether or not the Escherichia coli count was above prescribed levels for recreation activities. The results show that source water, higher specific conductance, lower pH, and cumulative rainfall for the 72 h antecedent the sampling significantly impacted the density of Escherichia coli. In addition to using the Bagging technique to validate the results, we also assessed Whole Model Tests, R2, Entropy R2, and Misclassification Rates. This approach improves the prediction of bacteria counts and their use in informing the potential safety/hazard of that waterbody for recreational activities.