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Exposure to mercury (Hg) and lead (Pb), in combination with liver and kidney impairment, may result in adverse birth outcomes. From 408 women in the age range of 16 to 46 years, living in rural and urban areas in the interior of Suriname, we looked at the association between adverse birth outcomes and exposure to Hg and Pb in combination with liver and kidney function. This group of women represented a subcohort of pregnant women who participated in the Caribbean Consortium for Research in Environmental and Occupational Health (CCREOH)—Meki Tamara study. Liver function was assessed by measuring aspartate amino transferase (AST), alanine amino transferase (ALT), and gamma-glutamyl transferase (GGT). Kidney function was assessed by measuring creatinine, urea, and cystatin C. We defined preterm births as birth before 37 weeks of gestation, low birthweight as birthweight < 2500 g, and low Apgar score as a score < 7 at 5 min, and these were used as indicators for adverse birth outcomes. Small size for gestational age was defined as gestational age < −2SD weight for GA. We found significant statistical associations between biomarkers for liver and kidney functions and adverse birth outcomes Apgar score and gestational age. No significant association was found between heavy metals Hg and lead and adverse birth outcomes.

Background: Access to efficient, culturally relevant, and validated measures of neurodevelopment in Low- and Middle-Income Countries (LMICs) remains a critical need. This study describes the validation and reliability of the Child Development Review (CDR), a parent report neurodevelopmental screening tool, for use in a cohort of Surinamese children aged 2–4 years. Subjects: Complete data from 355 Surinamese children through the Caribbean Consortium for Research in Environmental and Occupational Health were utilized for validation. Convergent validity was assessed using a subset of 31 children with concurrently administered CDRs and Bayley Scales of Infant and Child Development Third Edition (BSID-III). Methods: Cronbach's alpha was used to assess subscale reliability. Cluster analyses were used to assess internal factor structure. Measures of convergent validity used Cohen's Kappa statistic and partial correlations between comparative CDR and BSID-III subscales. Results: Cronbach's Alpha values were acceptable for all CDR subscales (range 0.63 - 0.79). CDR subscale responses clustered into two distinct groups, representing milestones that were or were not achieved. Patterns of change indicate increased milestone achievement with increased age. Partial correlations indicated that the social, fine motor, and language subscales of the CDR and BSID-III subscales were significantly correlated. However, Cohen's Kappa was only significant for the gross motor CDR and BSID-III subscales. Conclusions: The CDR has acceptable reliability, internal validity, and convergent validity. Use of the CDR should be considered as a screening tool for neurodevelopment in Suriname and may provide an efficient initial assessment of developmental delay in LMIC.

Climate literacy assesses general understanding of climate, climate change, and its effects on the environment as well as human health. Despite vast scientific evidence to support climate change and its associated consequences, particularly with regards to vector-borne diseases, climate change knowledge, attitudes, and behaviors among the general population is relatively poor. In this study, we conducted a thorough review of the current literature to evaluate the scope of global climate and health literacy studies and identify key areas for improvement. We found that very few climate and health literacy studies were based in low- and middle-income countries, and those that were did not make mention of significant regional climate change impacts and specifically those that increase mosquito-borne disease transmission in high-risk areas. We also noted that of the twenty-three studies included in our final review, most focused their assessments on general climate and climate change knowledge, and not on literacy of the relationships between climate change and environmental impacts or subsequent health outcomes. Our findings make it clear that moving forward, there is a major need for climate and health literacy research to expand upon existing climate literature to include additional assessments of the relationships between certain climate change impacts and infectious diseases in particular, as well as to make available a more comprehensive overview of climate and health information to the public in the future.

Background: The exposure of pregnant women to multiple environmental pollutants may be more disadvantageous to birth outcomes when compared to single-compound contaminations. Objective: This study investigated the mixed exposures to mercury, manganese, or lead in 380 pregnant Surinamese women. The factors that might be associated with the heavy metal exposures and the relative risk of the potential factors to cause the mixed exposures were explored. The influencing factors of exposures to mixed contaminants assessed were living in Suriname’s rural regions, several parts of which are contaminated with heavy metals emitted from artisanal and small-scale gold mining and agricultural activities; the consumption of potentially contaminated foods; advanced maternal age; as well as a relatively low formal educational level and monthly household income. Methods: Descriptive statistics were used to calculate frequency distributions and χ2-contingency analyses to calculate associations and relative risks (RR) with 95% confidence intervals (CI). Findings: Blood levels of two or three of the heavy metals above public health limits were observed in 36% of the women. These women were more often residing in the rural regions, primarily consumed potentially contaminated food items, were 35 years or older, were lower educated, and more often had a lower household income. However, only living in the rural regions (RR = 1.48; 95% CI 1.23–1.77) and a low household income (RR = 1.38; 95% CI 1.15–1.66) significantly increased the risk of exposure exceeding levels of concern to two or three of the heavy metals (by 48% and 38%, respectively). Conclusion: More comprehensive pharmacological, ecological, and epidemiological studies about exposures to mixed heavy metal contaminations in pregnant women are warranted.

Abstract Although healthy plants are vital to human and animal health, plant health is often overlooked in the One Health literature. Plants provide over 80% of the food consumed by humans and are the primary source of nutrition for livestock. However, plant diseases and pests often threaten the availability and safety of plants for human and animal consumption. Global yield losses of important staple crops can range up to 30% and hundreds of billions of dollars in lost food production. To demonstrate the complex interrelationships between plants and public health, we present four case studies on plant health issues directly tied to food safety and/or security, and how a One Health approach influences the perception and mitigation of these issues. Plant pathogens affect food availability and consequently food security through reductions in yield and plant mortality as shown through the first case study of banana Xanthomonas wilt in East and Central Africa. Case studies 2, 3 and 4 highlight ways in which the safety of plant-based foods can also be compromised. Case study 2 describes the role of mycotoxin-producing plant-colonizing fungi in human and animal disease and examines lessons learned from outbreaks of aflatoxicosis in Kenya. Plants may also serve as vectors of human pathogens as seen in case study 3, with an example of Escherichia coli (E. coli) contamination of lettuce in North America. Finally, case study 4 focuses on the use of pesticides in Suriname, a complex issue intimately tied to food security though protection of crops from diseases and pests, while also a food safety issue through misuse. These cases from around the world in low to high income countries point to the need for interdisciplinary teams to solve complex plant health problems. Through these case studies, we examine challenges and opportunities moving forward for mitigating negative public health consequences and ensuring health equity. Advances in surveillance technology and functional and streamlined workflow, from data collection, analyses, risk assessment, reporting, and information sharing are needed to improve the response to emergence and spread of plant-related pathogens and pests. Our case studies point to the importance of collaboration in responses to plant health issues that may become public health emergencies and the value of the One Health approach in ensuring food safety and food security for the global population.

Exposure to mercury (Hg) and lead (Pb) may have an effect on pregnant women. We assessed the effect of exposure to mercury and lead on liver and kidney functions in a subcohort of pregnant women who participated in the Caribbean Consortium for Research in Environmental and Occupational Health (CCREOH)—Meki Tamara, study. From 400 women aged 16–46 living in rural, urban, and interior regions of Suriname, we measured blood mercury and blood lead levels. Creatinine, urea, and cystatin C were measured to assess kidney function, and aspartate amino transferase (AST), alanine amino transferase (ALT), and gamma-glutamyl transferase (GGT) were measured to assess liver function. Education, region, and ethnicity showed significant differences for both blood mercury and lead levels, which all had p-values < 0.001. Creatinine and urea were elevated with higher mercury blood levels. Our findings also suggest a relationship between high mercury blood levels and potential harmful effects on liver and kidney function.

The Gulf of Mexico (GoM) region is prone to disasters, including recurrent oil spills, hurricanes, floods, industrial accidents, harmful algal blooms, and the current COVID-19 pandemic. The GoM and other regions of the U.S. lack sufficient baseline health information to identify, attribute, mitigate, and facilitate prevention of major health effects of disasters. Developing capacity to assess adverse human health consequences of future disasters requires establishment of a comprehensive, sustained community health observing system, similar to the extensive and well-established environmental observing systems. We propose a system that combines six levels of health data domains, beginning with three existing, national surveys and studies plus three new nested, longitudinal cohort studies. The latter are the unique and most important parts of the system and are focused on the coastal regions of the five GoM States. A statistically representative sample of participants is proposed for the new cohort studies, stratified to ensure proportional inclusion of urban and rural populations and with additional recruitment as necessary to enroll participants from particularly vulnerable or under-represented groups. Secondary data sources such as syndromic surveillance systems, electronic health records, national community surveys, environmental exposure databases, social media, and remote sensing will inform and augment the collection of primary data. Primary data sources will include participant-provided information via questionnaires, clinical measures of mental and physical health, acquisition of biological specimens, and wearable health monitoring devices. A suite of biomarkers may be derived from biological specimens for use in health assessments, including calculation of allostatic load, a measure of cumulative stress. The framework also addresses data management and sharing, participant retention, and system governance. The observing system is designed to continue indefinitely to ensure that essential pre-, during-, and post-disaster health data are collected and maintained. It could also provide a model/vehicle for effective health observation related to infectious disease pandemics such as COVID-19. To our knowledge, there is no comprehensive, disaster-focused health observing system such as the one proposed here currently in existence or planned elsewhere. Significant strengths of the GoM Community Health Observing System (CHOS) are its longitudinal cohorts and ability to adapt rapidly as needs arise and new technologies develop.

Timely and accurate data on COVID-19 cases and COVID-19‒related deaths are essential for making decisions with significant health, economic, and policy implications. A new report from the National Academies of Sciences, Engineering, and Medicine proposes a uniform national framework for data collection to more accurately quantify disaster-related deaths, injuries, and illnesses. This article describes how following the report's recommendations could help improve the quality and timeliness of public health surveillance data during pandemics, with special attention to addressing gaps in the data necessary to understand pandemic-related health disparities.

In 2005, Hurricane Katrina resulted in long-term flooding of 80% of New Orleans, Louisiana. Mold-infested homes gave rise to concerns about increased childhood asthma. To address these concerns, a diverse community-academic partnership used a community-based participatory research (CBPR) approach to implement the Head-off Environmental Asthma in Louisiana (HEAL) study in 2007.The study examined the relationship between post-Katrina mold and other environmental exposures and asthma morbidity, while testing an asthma counselor (AC) intervention. Both the AC intervention and the CBPR approach were effectively implemented in the postdisaster setting. However, homes had lower levels of mold and other allergens than expected, possibly because of the timing of environmental sampling. Also, HEAL illustrated the vulnerability of the study community, especially to the interconnected threats of health disparities, environmental health stressors, and disasters.We examine the implications of these threats for public health science, policy, and practice, not only through the lens of Hurricane Katrina but also for future disasters faced by communities in the Gulf Coast and nationally.

Objectives: To establish a validated, standardized set of core competencies for community health workers (CHWs) and a linked workforce framework., Methods: We conducted a review of the literature on CHW competency development (August 2015), completed a structured analysis of literature sources to develop a workforce framework, convened an expert panel to review the framework and write measurable competencies, and validated the competencies (August 2017) by using a 5-point Likert scale survey with 58 participants in person in Biloxi, Mississippi, and electronically across the United States., Results: The workforce framework delineates 3 categories of CHWs based upon training, workplace, and scope of practice. Each of the 27 competencies was validated with a mean of less than 3 (range = 1.12-2.27) and a simple majority of participants rated all competencies as "extremely important" or "very important.", Conclusions: Writing measurable competencies and linking the competencies to a workforce framework are significant advances for CHW workforce development. Public Health Implications. The standardized core competencies and workforce framework are important for addressing health disparities and maximizing CHW effectiveness.

Objectives: To review how disasters introduce unique challenges to conducting population-based research and community-based participatory research (CBPR)., Methods: From 2007-2009, we conducted the Head-off Environmental Asthma in Louisiana (HEAL) Study in the aftermath of Hurricane Katrina in a Gulf Coast community facing an unprecedented triple burden: Katrina's and other disasters' impact on the environment and health, historic health disparities, and persistent environmental health threats., Results: The unique triple burden influenced every research component; still, most existing CBPR principles were applicable, even though full adherence was not always feasible and additional tailored principles govern postdisaster settings., Conclusions: Even in the most challenging postdisaster conditions, CBPR can be successfully designed, implemented, and disseminated while adhering to scientific rigor.