The tuatara genome reveals ancient features of amniote evolution.

The tuatara (Sphenodon punctatus)-the only living member of the reptilian order Rhynchocephalia (Sphenodontia), once widespread across Gondwana1,2-is an iconic species that is endemic to New Zealand2,3. A key link to the now-extinct stem reptiles (from which dinosaurs, modern reptiles, birds and mammals evolved), the tuatara provides key insights into the ancestral amniotes2,4. Here we analyse the genome of the tuatara, which-at approximately 5 Gb-is among the largest of the vertebrate genomes yet assembled. Our analyses of this genome, along with comparisons with other vertebrate genomes, reinforce the uniqueness of the tuatara. Phylogenetic analyses indicate that the tuatara lineage diverged from that of snakes and lizards around 250 million years ago. This lineage also shows moderate rates of molecular evolution, with instances of punctuated evolution. Our genome sequence analysis identifies expansions of proteins, non-protein-coding RNA families and repeat elements, the latter of which show an amalgam of reptilian and mammalian features. The sequencing of the tuatara genome provides a valuable resource for deep comparative analyses of tetrapods, as well as for tuatara biology and conservation. Our study also provides important insights into both the technical challenges and the cultural obligations that are associated with genome sequencing.

Publisher Correction: The tuatara genome reveals ancient features of amniote evolution.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Prevalence and predictors of stroke among individuals with prediabetes and diabetes in Florida.

BACKGROUND: The prevalence of both prediabetes and diabetes have been increasing in Florida. These increasing trends will likely result in increases of stroke burden since both conditions are major risk factors of stroke. However, not much is known about the prevalence and predictors of stroke among adults with prediabetes and diabetes and yet this information is critical for guiding health programs aimed at reducing stroke burden. Therefore, the objectives of this study were to estimate the prevalence and identify predictors of stroke among persons with either prediabetes or diabetes in Florida. METHODS: The 2019 Behavioral Risk Factor Surveillance System (BRFSS) survey data were obtained from the Florida Department of Health and used for the study. Weighted prevalence estimates of stroke and potential predictor variables as well as their 95% confidence intervals were computed for adults with prediabetes and diabetes. A conceptual model of predictors of stroke among adults with prediabetes and diabetes was constructed to guide statistical model building. Two multivariable logistic models were built to investigate predictors of stroke among adults with prediabetes and diabetes. RESULTS: The prevalence of stroke among respondents with prediabetes and diabetes were 7.8% and 11.2%, respectively. The odds of stroke were significantly (p ≤ 0.05) higher among respondents with prediabetes that were ≥ 45 years old (Odds ratio [OR] = 2.82; 95% Confidence Interval [CI] = 0.74, 10.69), had hypertension (OR = 5.86; CI = 2.90, 11.84) and hypercholesterolemia (OR = 3.93; CI = 1.84, 8.40). On the other hand, the odds of stroke among respondents with diabetes were significantly (p ≤ 0.05) higher if respondents were non-Hispanic Black (OR = 1.79; CI = 1.01, 3.19), hypertensive (OR = 3.56; CI = 1.87, 6.78) and had depression (OR = 2.02; CI = 1.14, 3.59). CONCLUSIONS: Stroke prevalence in Florida is higher among adults with prediabetes and diabetes than the general population of the state. There is evidence of differences in the importance of predictors of stroke among populations with prediabetes and those with diabetes. These findings are useful for guiding health programs geared towards reducing stroke burden among populations with prediabetes and diabetes.

Community Assessment for Public Health Emergency Response (CASPER) Following Hurricane Michael, Bay and Gulf Counties, Florida, 2019.

CONTEXT: On October 10, 2018, Hurricane Michael made landfall near Mexico Beach, Florida, as one of the strongest storms on record to hit the US mainland. Hurricane Michael brought strong winds, heavy rain, and life-threatening storm surge, causing extensive damage across the Florida Panhandle. OBJECTIVES: To assess community preparedness and effects experienced by Panhandle residents, including structural and economic losses, injury and illness, health care access, and suicide risk and ideation in the counties most severely impacted by Hurricane Michael. DESIGN: The Florida Department of Health conducted a Community Assessment for Public Health Emergency Response (CASPER) in October and November 2019, a year after Hurricane Michael made landfall. CASPER is a 2-stage cluster sampling method designed to provide household-level information about a community's needs in a timely, inexpensive, and representative manner. SETTING: A total of 30 clusters were randomly selected from Bay and Gulf Counties, Florida. PARTICIPANTS: In total, 178 face-to-face interviews were completed with adult residents 18 years or older. MAIN OUTCOME MEASURES: Hurricane-related impacts, including structural and economic losses, injury and illness, health care access; and mental health. RESULTS: Almost half of respondents did not evacuate despite mandatory evacuation orders. Most houses (78.1%) received some damage, with more than half still not repaired 1 year later. Access to emergency supply kits, water, nonperishable foods, medications, and health care was common, though many reported needing supplies not included in their kit. Less than half reported having working household carbon monoxide detectors. Injuries and illnesses associated with the hurricane were uncommon; however, anxiety, depression, and insomnia were reported as occurring or worsening by more than one-third of respondents posthurricane. CONCLUSIONS: Increased education and communication regarding hurricane preparedness and recovery, which include clearer messaging on evacuation, improving emergency supply kits, importance of carbon monoxide detectors, and proper generator use, could enhance the safety of the community.

Using social security number to identify sub-populations vulnerable to the health impacts from extreme heat in Florida, U.S.

BACKGROUND: Some socioeconomically vulnerable groups may experience disproportionately higher risk of extreme heat illness than other groups, but no study has utilized the presence/absence of a social security number (SSN) as a proxy for vulnerable sub-populations. METHODS: This study focused on the warm season from 2008 to 2012 in Florida, U.S. With a total number of 8,256,171 individual level health outcomes, we devised separate case-crossover models for five heat-sensitive health outcomes (cardiovascular disease, dehydration, heat-related illness, renal disease, and respiratory disease), type of health care visit (emergency department (ED) and hospitalization), and patients reporting/not reporting an SSN. Each stratified model also considered potential effect modification by sex, age, or race/ethnicity. RESULTS: Mean temperature raised the odds of five heat-sensitive health outcomes with the highest odds ratios (ORs) for heat-related illness. Sex significantly modified heat exposure effects for dehydration ED visits (Males: 1.145, 95 % CI: 1.137-1.153; Females: 1.110, 95 % CI: 1.103-1.117) and hospitalization (Males: 1.116, 95 % CI: 1.110-1.121; Females: 1.100, 95 % CI: 1.095-1.105). Patients not reporting an SSN between 25 and 44 years (1.264, 95 % CI: 1.192-1.340) exhibited significantly higher dehydration ED ORs than those reporting an SSN (1.146, 95 % CI: 1.136-1.157). We also observed significantly higher ORs for cardiovascular disease hospitalization from the no SSN group (SSN: 1.089, 95 % CI: 1.088-1.090; no SSN: 1.100, 95 % CI: 1.091-1.110). CONCLUSIONS: This paper partially supports the idea that individuals without an SSN could experience higher risks of dehydration (for those 25-45 years), renal disease, and cardiovascular disease than those with an SSN.

Heat illness data strengthens vulnerability maps.

BACKGROUND: Previous extreme heat and human health studies have investigated associations either over time (e.g. case-crossover or time series analysis) or across geographic areas (e.g. spatial models), which may limit the study scope and regional variation. Our study combines a case-crossover design and spatial analysis to identify: 1) the most vulnerable counties to extreme heat; and 2) demographic and socioeconomic variables that are most strongly and consistently related to heat-sensitive health outcomes (cardiovascular disease, dehydration, heat-related illness, acute renal disease, and respiratory disease) across 67 counties in the state of Florida, U. S over 2008-2012. METHODS: We first used a case-crossover design to examine the effects of air temperature on daily counts of health outcomes. We employed a time-stratified design with a 28-day comparison window. Referent periods were extracted from ±7, ±14, or ± 21 days to address seasonality. The results are expressed as odds ratios, or the change in the likelihood of each health outcome for a unit change in heat exposure. We then spatially examined the case-crossover extreme heat and health odds ratios and county level demographic and socioeconomic variables with multiple linear regression or spatial lag models. RESULTS: Results indicated that southwest Florida has the highest risks of cardiovascular disease, dehydration, acute renal disease, and respiratory disease. Results also suggested demographic and socioeconomic variables were significantly associated with the magnitude of heat-related health risk. The counties with larger populations working in farming, fishing, mining, forestry, construction, and extraction tended to have higher risks of dehydration and acute renal disease, whereas counties with larger populations working in installation, maintenance, and repair workers tended to have lower risks of cardiovascular, dehydration, acute renal disease, and respiratory disease. Finally, our results showed that high income counties consistently have lower health risks of dehydration, heat-related illness, acute renal disease, and respiratory disease. CONCLUSIONS: Our study identified different relationships with demographic/socioeconomic variables for each heat-sensitive health outcome. Results should be incorporated into vulnerability or risk indices for each health outcome.

COVID-19 Information-Seeking and Prevention Behaviors in Florida, April 2020.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) surveillance can be enhanced by collecting population-level data on individual prevention measures. We described the use of a state-based, population-level surveillance system on COVID-19 prevention and information-seeking behaviors in Florida during the first month of survey administration. METHODS: Beginning in April 2020, respondents of the Florida Behavioral Risk Factor Surveillance System were asked a series of 8 questions about sources of COVID-19 information and prevention behaviors. We analyzed the prevalence of information-seeking and prevention behaviors among respondents who answered at least 1 of the 8 questions (N = 1,004) overall, by demographic characteristics, and by the presence of chronic conditions. RESULTS: Most respondents reported engaging in prevention behaviors, including handwashing (98.2%), reducing or avoiding travel (96.6%), avoiding crowds and public events (96.5%), and keeping household members at home (87.5%); however, the prevalence of prevention behaviors varied significantly by age, sex, and education. The most frequently reported source of COVID-19 information was the Centers for Disease Control and Prevention's website (40.8%) followed by the Florida Department of Health's website (32.9%). We found significant differences in information sources across all demographic and chronic condition subgroups. A larger proportion of respondents with chronic conditions (vs without chronic conditions) reported consulting their personal doctor for COVID-19 information. CONCLUSION: Understanding the uptake and characteristics associated with individual prevention and information-seeking behaviors at the population level facilitates COVID-19 response efforts. The rapid implementation of COVID-19-related questions in the Florida BRFSS provides a useful model for other population-based surveillance systems.

Florida neighborhood analysis of social determinants and their relationship to life expectancy.

BACKGROUND: Social determinants of health (SDOH) contribute to unequal life expectancy (LE). Only a handful of papers have analyzed these relationships at the neighborhood level as opposed to the county level. This study draws on both the SDOH and social vulnerability literature to identify relevant factors affecting LE. METHODS: LE was calculated from mortality records for Florida from 2009 to 2013 for 3640 census tracts with reliable estimates. A spatial Durbin error model (SDEM) quantified the direction and magnitude of the factors to LE. The SDEM contains a spatial error term and jointly estimates both local and neighborhood associations. This methodology controls for non-independence between census tracts to provide unbiased statistical estimates. RESULTS: Factors significantly related to an increase in LE, include percentage (%) of the population who identify as Hispanic (beta coefficient [ß]: 0.06, p-value [P] < 0.001) and % of age dependent populations (% population < 5 years old and % population > 65) (ß: 0.13, P < 0.001). Conversely, the following factors exhibited significant negative LE associations, % of households with no automobile (ß: -0.05, P < 0.001), % of mobile homes (ß: -0.02, P < 0.001), and % of female headed households (ß: -0.11, P < 0.001). CONCLUSIONS: Results from the SDEM demonstrate social vulnerability indicators account for additional geographic LE variability beyond commonly studied SDOH. Empirical findings from this analysis can help local health departments identify drivers of spatial health disparities at the local level.

Evaluation of State-Mandated Reporting of Neonatal Abstinence Syndrome - Six States, 2013-2017.

From 2004 to 2014, the incidence of neonatal abstinence syndrome (NAS) in the United States increased 433%, from 1.5 to 8.0 per 1,000 hospital births. The latest national data from 2014 indicate that one baby was born with signs of NAS every 15 minutes in the United States (1). NAS is a drug withdrawal syndrome that most commonly occurs among infants after in utero exposure to opioids, although other substances have also been associated with NAS. Prenatal opioid exposure has also been associated with poor fetal growth, preterm birth, stillbirth, and possible specific birth defects (2-5). NAS surveillance has often depended on hospital discharge data, which historically underestimate the incidence of NAS and are not available in real time, thus limiting states' ability to quickly direct public health resources (6,7). This evaluation focused on six states with state laws implementing required NAS case reporting for public health surveillance during 2013-2017 and reviews implementation of the laws, state officials' reports of data quality before and after laws were passed, and advantages and challenges of legally mandating NAS reporting for public health surveillance in the absence of a national case definition. Using standardized search terms in an online legal research database, laws in six states mandating reporting of NAS from medical facilities to state health departments (SHDs) or from SHDs to a state legislative body were identified. SHD officials in these six states completed a questionnaire followed by a semistructured telephone interview to clarify open-text responses from the questionnaire. Variability was found in the type and number of surveillance data elements reported and in how states used NAS surveillance data. Following implementation, five states with identified laws reported receiving NAS case reports within 30 days of diagnosis. Mandated NAS case reporting allowed SHDs to quantify the incidence of NAS in their states and to inform programs and services. This information might be useful to states considering implementing mandatory NAS surveillance.

Using web data to improve surveillance for heat sensitive health outcomes.

BACKGROUND: Elevated and prolonged exposure to extreme heat is an important cause of excess summertime mortality and morbidity. To protect people from health threats, some governments are currently operating syndromic surveillance systems. However, A lack of resources to support time- and labor- intensive diagnostic and reporting processes make it difficult establishing region-specific surveillance systems. Big data created by social media and web search may improve upon the current syndromic surveillance systems by directly capturing people's individual and subjective thoughts and feelings during heat waves. This study aims to investigate the relationship between heat-related web searches, social media messages, and heat-related health outcomes. METHODS: We collected Twitter messages that mentioned "air conditioning (AC)" and "heat" and Google search data that included weather, medical, recreational, and adaptation information from May 7 to November 3, 2014, focusing on the state of Florida, U.S. We separately associated web data against two different sources of health outcomes (emergency department (ED) and hospital admissions) and five disease categories (cardiovascular disease, dehydration, heat-related illness, renal disease, and respiratory disease). Seasonal and subseasonal temporal cycles were controlled using autoregressive moving average-generalized autoregressive conditional heteroscedasticity (ARMA-GARCH) and generalized linear model (GLM). RESULTS: The results show that the number of heat-related illness and dehydration cases exhibited a significant positive relationship with web data. Specifically, heat-related illness cases showed positive associations with messages (heat, AC) and web searches (drink, heat stroke, park, swim, and tired). In addition, terms such as park, pool, swim, and water tended to show a consistent positive relationship with dehydration cases. However, we found inconsistent relationships between renal illness and web data. Web data also did not improve the models for cardiovascular and respiratory illness cases. CONCLUSIONS: Our findings suggest web data created by social medias and search engines could improve the current syndromic surveillance systems. In particular, heat-related illness and dehydration cases were positively related with web data. This paper also shows that activity patterns for reducing heat stress are associated with several health outcomes. Based on the results, we believe web data could benefit both regions without the systems and persistently hot and humid climates where excess heat early warning systems may be less effective.

Kidney recovery in patients discharged to an acute rehabilitation facility with acute kidney injury requiring hemodialysis
.

BACKGROUND: Patients with acute kidney injury requiring renal replacement therapy (AKI-RRT) are at risk of adverse outcomes. Little is known about the incidence of AKI-RRT recovery following hospital discharge. We examine AKI-RRT recovery in hospital survivors discharged to a long-term acute care hospital (LTACH) with need of hemodialysis (HD) for AKI. MATERIALS AND METHODS: Single-center, retrospective cohort study of patients who were hospitalized (08/2015 - 04/2018), suffered from AKI-RRT, and were discharged to an affiliated LTACH with need for HD. Kidney recovery was defined as the patient being alive and no longer requiring HD. RESULTS: 41 patients were included. Mean (SD) age was 61.3 (9.7) years, 63.4% were male, and 90.2% white. At the time of discharge from LTACH, 27 (65.8%) patients had survived and had recovered kidney function (kidney recovery group), 7 had been discharged on HD, and 7 had died (no kidney recovery group, n = 14, 34.2%). In adjusted models, the presence of anemia was associated with a 91% decreased odds of kidney recovery at LTACH discharge. Each additional HD session during LTACH stay had an 18% decreased odds of kidney recovery at LTACH discharge, and each episode of intradialytic hypotension had a 20% decreased odds of kidney recovery at the end of the observation period (median follow-up of 19.0 months). CONCLUSION: Almost 2/3 of AKI-RRT patients discharged to an affiliated LTACH with ongoing HD need recovered kidney function. Anemia and the number of HD sessions and intradialytic hypotension episodes were associated with kidney recovery. Future studies should focus on developing risk-stratification tools for kidney recovery and determining best practices to promote recovery in this susceptible population.

Lead Exposure and Developmental Disabilities in Preschool-Aged Children.

CONTEXT: Lead is a preventable environmental toxin that has been previously associated with deficits in cognition, academic performance, attention, and behavior in children. Very few studies, however, have examined the relationship between exposure to lead and documented developmental disabilities. OBJECTIVE: This study examined the relative risk of lead exposure on developmental disabilities in preschool-aged children. DESIGN: A statewide lead surveillance data set containing blood lead level (BLL) was integrated with another statewide data set containing developmental disability classifications for special education placement for preschool-aged children. PARTICIPANTS: The participants were the 85 178 children (average age 2.6 years) whose records in both data sets were able to be linked. Forty-six percent of the participants had an identified developmental disability. MAIN OUTCOME MEASURE: Developmental disability classification served as the main outcome measure. RESULTS: A high BLL, defined as 5 µg/dL or more, was associated with significantly increased risk for developmental disabilities (risk ratio [RR] = 1.04; 95% CI = 1.01-1.08), particularly intellectual disability (RR = 1.58, 95% CI = 1.10-2.25) and developmental delay (DD; RR = 1.11, 95% CI = 1.06-1.17). CONCLUSIONS: The results of this study are consistent with previous research identifying an association between lead exposure and numerous intellectual and educational outcomes and demonstrate that high BLL is associated with meeting eligibility criteria for developmental disabilities in young children. Continued research, surveillance, and prevention efforts are needed to further reduce the negative impacts of lead on individuals and society. Reducing or eliminating lead exposure would improve outcomes for individual children (eg, better academic performance) and reduce the burden to society (eg, lower enrollments in special education systems).

Analysis of the genome of the New Zealand giant collembolan (Holacanthella duospinosa) sheds light on hexapod evolution.

BACKGROUND: The New Zealand collembolan genus Holacanthella contains the largest species of springtails (Collembola) in the world. Using Illumina technology we have sequenced and assembled a draft genome and transcriptome from Holacanthella duospinosa (Salmon). We have used this annotated assembly to investigate the genetic basis of a range of traits critical to the evolution of the Hexapoda, the phylogenetic position of H. duospinosa and potential horizontal gene transfer events. RESULTS: Our genome assembly was ~375 Mbp in size with a scaffold N50 of ~230 Kbp and sequencing coverage of ~180×. DNA elements, LTRs and simple repeats and LINEs formed the largest components and SINEs were very rare. Phylogenomics (370,877 amino acids) placed H. duospinosa within the Neanuridae. We recovered orthologs of the conserved sex determination genes thought to play a role in sex determination. Analysis of CpG content suggested the absence of DNA methylation, and consistent with this we were unable to detect orthologs of the DNA methyltransferase enzymes. The small subunit rRNA gene contained a possible retrotransposon. The Hox gene complex was broken over two scaffolds. For chemosensory ability, at least 15 and 18 ionotropic glutamate and gustatory receptors were identified, respectively. However, we were unable to identify any odorant receptors or their obligate co-receptor Orco. Twenty-three chitinase-like genes were identified from the assembly. Members of this multigene family may play roles in the digestion of fungal cell walls, a common food source for these saproxylic organisms. We also detected 59 and 96 genes that blasted to bacteria and fungi, respectively, but were located on scaffolds that otherwise contained arthropod genes. CONCLUSIONS: The genome of H. duospinosa contains some unusual features including a Hox complex broken over two scaffolds, in a different manner to other arthropod species, a lack of odorant receptor genes and an apparent lack of environmentally responsive DNA methylation, unlike many other arthropods. Our detection of candidate horizontal gene transfer candidates confirms that this phenomenon is occurring across Collembola. These findings allow us to narrow down the regions of the arthropod phylogeny where key innovations have occurred that have facilitated the evolutionary success of Hexapoda.

Health Impact Assessments and Extreme Weather-Challenges for Environmental Health.

BACKGROUND: The Florida Department of Health, Environmental Public Health Tracking Program, in collaboration with the Escambia County Health Department and the University of West Florida, used the Health Impact Assessment Framework to examine adverse health outcomes that may be related to an extreme flood event in Pensacola, Florida (Escambia County) during April 29 to May 3, 2014. In this 2014 flood event, portions of Pensacola received more than 15.5 in of rain in a single day. Infrastructure impacts from this extreme event included destroyed bridges and roads and the failure of many sewage lift stations. OBJECTIVE: To determine whether there were associated increases in injury, illness, and death, data on reportable diseases, hospitalizations, emergency department (ED) visits, and deaths that occurred during the impact period in 2014 were compared with a control period in 2008. DESIGN: We used an ecological design to compare impact and control periods and examined the proportion of hospitalizations, ED visits, and deaths potentially attributable to the extreme flood event. RESULTS: The results of this comparison were mixed, with some Escambia County zip codes showing increased hospitalizations and ED visits, and some zip codes showing a decrease. However, countywide, there were increases in the proportion of both injury- and respiratory-related hospitalizations and ED visits during the impact period. CONCLUSIONS: It is challenging to characterize human health impacts from natural disasters such as extreme floods. Still, it is believed that specific policy changes could result in fewer health impacts during future flood events. For example, this study recommended raising the electric panels on lift stations above the flood elevation to keep them operational during extreme rainfall events. For more maps and tables, consult the complete project report available online at http://www.floridatracking.com/HealthTrackFL/document/Escambia_HIA_Report.pdf.

Associations between exposure to ambient benzene and PM(2.5) during pregnancy and the risk of selected birth defects in offspring.

OBJECTIVE: A growing number of studies have investigated the association between air pollution and the risk of birth defects, but results are inconsistent. The objective of this study was to examine whether maternal exposure to ambient PM2.5 or benzene increases the risk of selected birth defects in Florida. METHODS: We conducted a retrospective cohort study of singleton infants born in Florida from 2000 to 2009. Isolated and non-isolated birth defect cases of critical congenital heart defects, orofacial clefts, and spina bifida were identified from the Florida Birth Defects Registry. Estimates of maternal exposures to PM2.5 and benzene for all case and non-case pregnancies were derived by aggregation of ambient measurement data, obtained from the US Environmental Protection Agency Air Quality System, during etiologically relevant time windows. Multivariable Poisson regression was used to estimate adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) for each quartile of air pollutant exposure. RESULTS: Compared to the first quartile of PM2.5 exposure, higher levels of exposure were associated with an increased risk of non-isolated truncus arteriosus (aPR4th Quartile, 8.80; 95% CI, 1.11-69.50), total anomalous pulmonary venous return (aPR2nd Quartile, 5.00; 95% CI, 1.10-22.84), coarctation of the aorta (aPR4th Quartile, 1.72; 95% CI, 1.15-2.57; aPR3rd Quartile, 1.60; 95% CI, 1.07-2.41), interrupted aortic arch (aPR4th Quartile, 5.50; 95% CI, 1.22-24.82), and isolated and non-isolated any critical congenital heart defect (aPR3rd Quartile, 1.13; 95% CI, 1.02-1.25; aPR4th Quartile, 1.33; 95% CI, 1.07-1.65). Mothers with the highest level of exposure to benzene were more likely to deliver an infant with an isolated cleft palate (aPR4th Quartile, 1.52; 95% CI, 1.13-2.04) or any orofacial cleft (aPR4th Quartile, 1.29; 95% CI, 1.08-1.56). An inverse association was observed between exposure to benzene and non-isolated pulmonary atresia (aPR4th Quartile, 0.19; 95% CI, 0.04-0.84). CONCLUSION: Our results suggest a few associations between exposure to ambient PM2.5 or benzene and specific birth defects in Florida. However, many related comparisons showed no association. Hence, it remains unclear whether associations are clinically significant or can be causally related to air pollution exposures.

Developing a smartphone interface for the Florida Environmental Public Health Tracking Web portal.

As smartphone and tablet devices continue to proliferate, it is becoming increasingly important to tailor information delivery to the mobile device. The Florida Environmental Public Health Tracking Program recognized that the mobile device user needs Web content formatted to smaller screen sizes, simplified data displays, and reduced textual information. The Florida Environmental Public Health Tracking Program developed a smartphone-friendly version of the state Web portal for easier access by mobile device users. The resulting smartphone-friendly portal combines calculated data measures such as inpatient hospitalizations and emergency department visits and presents them grouped by county, along with temporal trend graphs. An abbreviated version of the public health messaging provided on the traditional Web portal is also provided, along with social media connections. As a result of these efforts, the percentage of Web site visitors using an iPhone tripled in just 1 year.

Using an environmental public health tracking biomonitoring study to validate safe water restoration efforts in Florida.

CONTEXT: Inorganic arsenic is a carcinogen when consumed over many years and is the type of arsenic that is associated with well water. Private wells in many central Florida counties have been found to contain levels of arsenic above 10 µg/L, which is the maximum contaminant level (MCL) established by the US Environmental Protection Agency. OBJECTIVE: The purpose of this study was to test whether individuals living in homes with arsenic levels above the MCL who use bottled water or have a point of use (POU) filter on their main source of water in the house (eg, kitchen sink) are ingesting unsafe levels of arsenic through other unfiltered water sources in the home. DESIGN: Case-control study of residents with private wells above (case) and below (control) the MCL for arsenic in drinking water (10 µg/L) conducted between April and July 2013. SETTING AND PARTICIPANTS: Residents with private wells living in Hernando County, Florida, where nearly 400 unique wells of 1200 tested have been found to have elevated arsenic levels (targeted sampling). INTERVENTION: Participants with elevated water arsenic levels were referred to the Florida Safe Water Restoration Program for assistance in obtaining bottled water vouchers and/or POU filters. MAIN OUTCOME MEASURES: Creatinine-corrected total urinary arsenic levels and information on water use and consumption behaviors, dietary intake, and other possible exposure sources. RESULTS: Total urinary arsenic levels were similar for cases using POU filters or bottled water when compared with controls (geometric means of 7.17 and 7.19 µg/L, respectively). CONCLUSIONS: The current practice used by the Florida Safe Water Restoration Program of supplying POU filters or bottled water to households with arsenic levels in private wells between 10 and 50 µg/L appears to be sufficient to protect residents from arsenic exposure through tap water.

Fish consumption and hair mercury levels in women of childbearing age, Martin County, Florida.

The health effects of mercury in humans are mostly on the developing nervous system. Pregnant women and women who are breastfeeding must be targeted in order to decrease mercury exposure to the populations at highest risk-infants, unborn fetuses, and young children. This purpose of this study is to understand the demographics of fish-consumption patterns among women of childbearing age (including pregnant women) in Martin County, Florida, and to analyze the associations of mercury levels in participants' hair with socio-demographic variables in order to better design prevention messages and campaigns. Mercury concentrations in hair samples of 408 women ages 18-49 were assessed. Data on demographic factors, pregnancy status, fish consumption, and awareness of fish advisories were collected during personal interviews. Data were analyzed using descriptive statistics and multivariate logistic regression. The geometric and arithmetic means of hair mercury concentration were 0.371 and 0.676 µg/g of hair. One-fourth of the respondents had a concentration ≥1 µg/g of hair. Consuming a higher number of fish meals per month, consumption of commercially purchased or locally caught fish higher in mercury, White race and income ≥$75,000 were positively associated with the likelihood of having higher hair mercury levels. This study confirms the existence of a higher overall mean hair mercury level and a higher percentage of women with ≥1 µg/g hair mercury level than those reported at the national level and in other regional studies. This suggests the need for region-specific fish consumption advisories to minimize mercury exposure in humans.