Recent studies of unconventional resource development (URD) and adverse health effects have been limited by distance-based exposure surrogates. Our study compared exposure classifications between air pollutant concentrations and “well activity” (WA) metrics, which are distance-based exposure proxies used in Marcellus-area studies to reflect variation in time and space of residential URD activity. We compiled Pennsylvania air monitoring data for benzene, carbon monoxide, nitrogen dioxide, ozone, fine particulates and sulfur dioxide, and combined this with data on nearly 9000 Pennsylvania wells. We replicated WA calculations using geo-coordinates of monitors to represent residences and compared exposure categories from air measurements and WA at the site of each monitor. There was little agreement between the two methods for the pollutants included in the analysis, with most weighted kappa coefficients between −0.1 and 0.1. The exposure categories agreed for about 25% of the observations and assigned inverse categories 16%–29% of the time, depending on the pollutant. Our results indicate that WA measures did not adequately distinguish categories of air pollutant exposures and employing them in epidemiology studies can result in misclassification of exposure. This underscores the need for more robust exposure assessment in future analyses and cautious interpretation of these existing studies.

The advent of the novel H1N1 virus prompted the Houston Department of Health and Human services (HDHHS) to use the existing sentinel surveillance system to effectively monitor the situation of novel H1N1 virus in the Houston metropolitan area. The objective of this study was to evaluate the demographic characteristics and common symptoms associated with confirmed cases of seasonal influenza and Novel H1N1 virus reported to HDHHS between October 2008 and October 2009. A total of 30 providers were randomly selected using the probability proportional to size (PPS) sampling technique to participate in a sentinel surveillance system. The system was used to effectively monitor both seasonal and novel H1N1 virus in the Houston metropolitan area. These providers collected and submitted specimens for testing at HDHHS laboratory from patients with influenza-like illness (ILI) symptoms who visited their clinics during the period, October 2008 and October 2009. These data formed the basis of the current study. Data obtained were subjected to both descriptive and inferential statistical analyses using SAS software version 9.1.3. Overall a total of 1,122 ILI cases were reported to HDHHS by sentinel providers and tested by HDHHS laboratory. Of this number 296 (67.5%) specimens tested positive for influenza A; 140 (32.0%) for influenza B, and 2 (0.46%) for influenza A/B. Two hundred and fifty-nine (59%) were confirmed cases of seasonal influenza and 179 (41%) were novel H1N1 subtype, respectively. The median ages for seasonal influenza and novel H1N1 virus were 7 and 8 years, with majority of the cases reported among children of age 5-9 years. Fever was the most common symptom reported among patients with seasonal flu and novel H1N1 virus, followed by cough. Twenty-three percent (23%) of patients who were vaccinated against seasonal flu prior to the epidemic were infected with seasonal flu virus. The sentinel surveillance system provided timely data on the circulating ILI that assisted in making decisions regarding response activities for both seasonal and novel H1N1 influenza.

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We appreciate the comments by Buonocore et al [...]