Emerging arboviruses in Harris County, Texas

Harris County, which includes Houston, Texas, is an endemic and epidemic area for two viruses transmitted by arthropods (arboviruses). These viruses are maintained in cycles involving mosquitoes and wild birds, and transmission to humans is accidental. The majority of human infections is asymptomatic or may result in a flu-like syndrome. However, some infections can result in meningitis or encephalitis. These neuroinvasive infections may cause death, and those who survive may experience serious neurological complications requiring costly and lengthy medical care. The most important arboviruses in terms of morbidity are St. Louis encephalitis (SLEV) and West Nile (WNV) viruses. In fact, Harris County reports more SLEV encephalitis cases than any other county in the U.S. Most arboviral human cases occur from July through September, when mosquitoes are most active. Those at risk for encephalitis and death are the elderly and those with a history of hypertension or immunosuppresion. There is no specific treatment and no human vaccines are commercially available in the U.S. The approach for control of arboviruses in Harris County during epidemics is multidisciplinary and executed by several agencies. It includes surveillance, vector control, and educational messages for the population. Prevention of outbreaks consists of elimination of the vector and its breeding grounds, and practicing personal protective measures to prevent exposure to mosquitoes. ^ Current findings indicate that mosquito-borne viruses other than SLEV and WNV could pose an additional threat for the population. Eastern equine encephalitis virus (EEEV) activity has been detected in dogs and sentinel chickens in Houston and surrounding areas. Several serotypes of dengue virus have caused recent outbreaks in south Texas, and some locally-acquired cases have been detected in Houston. Since the clinical presentation of all arboviruses that cause encephalitis is very similar, and current surveillance is focused on detecting SLEV and WNV, there is a possibility that other arboviruses could be present in the area but are not being detected. Additionally, Harris County's ample annual rainfall and flooding problems, warm weather, multiple mosquito species, local and migrating birds that are susceptible to arboviral infection, and a constant flow of goods and travelers from many parts of the world could favor the emergence or re-emergence of other arboviruses. ^ The aims of this project were to determine if other arboviruses were circulating in the county, to assess the knowledge and attitudes about mosquito-borne viruses in a sample of the population, and to conduct an analysis of the initial WNV epidemic in Harris County. Through the retrospective analysis of clinical specimens collected during the 2002-2005 epidemic seasons, serologic evidence of dengue infection was detected suggesting the possibility that this virus may be co-circulating with SLEV and WNV. A cross-sectional survey revealed high awareness about arboviruses but not a consistent use of protective measures to avoid mosquitoes. The third component for this project included a retrospective review and geographical analysis of the 2002 WNV epidemic. ^ Overall, this study documented valuable information about the dengue virus, a potentially emerging arbovirus in Texas, revealed the need for more educational preventative programs, reinforced the value of mosquito and avian surveillance, and indicated the importance of continuing to investigate the factors that contribute to the development of outbreaks. ^

The medical malpractice insurance "crises" and federal medical malpractice tort reform: Collection and analysis of bills passed by the United States House of Representatives from 1995--2005

There have been three medical malpractice insurance "crises" in the United States over a time spanning roughly the past three decades (Poisson, 2004, p. 759-760). Each crisis is characterized by a number of common features, including rapidly increasing medical malpractice insurance premiums, cancellation of existing insurance policies, and a decreased willingness of insurers to offer or renew medical malpractice insurance policies (Poisson, 2004, p. 759-760). Given the recurrent "crises," many sources argue that medical malpractice insurance coverage has become too expensive a commodity—one that many physicians simply cannot afford (U.S. Department of Health and Human Services [HHS], 2002, p. 1-2; Physician Insurers Association of America [PIAA], 2003, p. 1; Jackiw, 2004, p. 506; Glassman, 2004, p. 417; Padget, 2003, p. 216). ^ The prohibitively high cost of medical liability insurance is said to limit the geographical areas and medical specializations in which physicians are willing to practice. As a result, the high costs of medical liability insurance are ultimately said to affect whether or not people have access to health care services. ^ In an effort to control the medical liability insurance crises—and to preserve or restore peoples' access to health care—every state in the United States has passed "at least some laws designed to reduce medical malpractice premium rates" (GAO, 2003, p.5-6). More recently, however, the United States has witnessed a push to implement federal reform of the medical malpractice tort system. Accordingly, this project focuses on federal medical malpractice tort reform. This project was designed to investigate the following specific question: Do the federal medical malpractice tort reform bills which passed in the House of Representatives between 1995 and 2005 differ in respect to their principle features? To answer this question, the text of the bills, law review articles, and reports from government and private agencies were analyzed. Further, a matrix was compiled to concisely summarize the principle features of the proposed federal medical malpractice tort reform bills. Insight gleaned from this investigation and matrix compilation informs discussion about the potential ramifications of enacting federal medical malpractice tort reform legislation. ^

A Bayesian analysis for spatial processes with application to mapping

In geographical epidemiology, maps of disease rates and disease risk provide a spatial perspective for researching disease etiology. For rare diseases or when the population base is small, the rate and risk estimates may be unstable. Empirical Bayesian (EB) methods have been used to spatially smooth the estimates by permitting an area estimate to "borrow strength" from its neighbors. Such EB methods include the use of a Gamma model, of a James-Stein estimator, and of a conditional autoregressive (CAR) process. A fully Bayesian analysis of the CAR process is proposed. One advantage of this fully Bayesian analysis is that it can be implemented simply by using repeated sampling from the posterior densities. Use of a Markov chain Monte Carlo technique such as Gibbs sampler was not necessary. Direct resampling from the posterior densities provides exact small sample inferences instead of the approximate asymptotic analyses of maximum likelihood methods (Clayton & Kaldor, 1987). Further, the proposed CAR model provides for covariates to be included in the model. A simulation demonstrates the effect of sample size on the fully Bayesian analysis of the CAR process. The methods are applied to lip cancer data from Scotland, and the results are compared. ^

Spatial analysis of cardiovascular disease mortality and air pollution in Harris County, Texas

The association between fine particulate matter air pollution (PM2.5) and cardiovascular disease (CVD) mortality was spatially analyzed for Harris County, Texas, at the census tract level. The objective was to assess how increased PM2.5 exposure related to CVD mortality in this area while controlling for race, income, education, and age. An estimated exposure raster was created for Harris County using Kriging to estimate the PM2.5 exposure at the census tract level. The PM2.5 exposure and the CVD mortality rates were analyzed in an Ordinary Least Squares (OLS) regression model and the residuals were subsequently assessed for spatial autocorrelation. Race, median household income, and age were all found to be significant (p<0.05) predictors in the model. This study found that for every one μg/m3 increase in PM2.5 exposure, holding age and education variables constant, an increase of 16.57 CVD deaths per 100,000 would be predicted for increased minimum exposure values and an increase of 14.47 CVD deaths per 100,000 would be predicted for increased maximum exposure values. This finding supports previous studies associating PM2.5 exposure with CVD mortality. This study further identified the areas of greatest PM2.5 exposure in Harris County as being the geographical locations of populations with the highest risk of CVD (i.e., predominantly older, low-income populations with a predominance of African Americans). The magnitude of the effect of PM2.5 exposure on CVD mortality rates in the study region indicates a need for further community-level studies in Harris County, and suggests that reducing excess PM2.5 exposure would reduce CVD mortality.^

Endemic tuberculosis, the homeless, and public transportation: A merging of geographical information systems surveillance and the Houston Tuberculosis Initiative Surveillance project

To reach the goals established by the Institute of Medicine (IOM) and the Centers for Disease Control's (CDC) STOP TB USA, measures must be taken to curtail a future peak in Tuberculosis (TB) incidence and speed the currently stagnant rate of TB elimination. Both efforts will require, at minimum, the consideration and understanding of the third dimension of TB transmission: the location-based spread of an airborne pathogen among persons known and unknown to each other. This consideration will require an elucidation of the areas within the U.S. that have endemic TB. The Houston Tuberculosis Initiative (HTI) was a population-based active surveillance of confirmed Houston/Harris County TB cases from 1995–2004. Strengths in this dataset include the molecular characterization of laboratory confirmed cases, the collection of geographic locations (including home addresses) frequented by cases, and the HTI time period that parallels a decline in TB incidence in the United States (U.S.). The HTI dataset was used in this secondary data analysis to implement a GIS analysis of TB cases, the locations frequented by cases, and their association with risk factors associated with TB transmission. ^ This study reports, for the first time, the incidence of TB among the homeless in Houston, Texas. The homeless are an at-risk population for TB disease, yet they are also a population whose TB incidence has been unknown and unreported due to their non-enumeration. The first section of this dissertation identifies local areas in Houston with endemic TB disease. Many Houston TB cases who reported living in these endemic areas also share the TB risk factor of current or recent homelessness. Merging the 2004–2005 Houston enumeration of the homeless with historical HTI surveillance data of TB cases in Houston enabled this first-time report of TB risk among the homeless in Houston. The homeless were more likely to be US-born, belong to a genotypic cluster, and belong to a cluster of a larger size. The calculated average incidence among homeless persons was 411/100,000, compared to 9.5/100,000 among housed. These alarming rates are not driven by a co-infection but by social determinants. The unsheltered persons were hospitalized more days and required more follow-up time by staff than those who reported a steady housing situation. The homeless are a specific example of the increased targeting of prevention dollars that could occur if TB rates were reported for specific areas with known health disparities rather than as a generalized rate normalized over a diverse population. ^ It has been estimated that 27% of Houstonians use public transportation. The city layout allows bus routes to run like veins connecting even the most diverse of populations within the metropolitan area. Secondary data analysis of frequent bus use (defined as riding a route weekly) among TB cases was assessed for its relationship with known TB risk factors. The spatial distribution of genotypic clusters associated with bus use was assessed, along with the reported routes and epidemiologic-links among cases belonging to the identified clusters. ^ TB cases who reported frequent bus use were more likely to have demographic and social risk factors associated with poverty, immune suppression and health disparities. An equal proportion of bus riders and non-bus riders were cultured for Mycobacterium tuberculosis, yet 75% of bus riders were genotypically clustered, indicating recent transmission, compared to 56% of non-bus riders (OR=2.4, 95%CI(2.0, 2.8), p<0.001). Bus riders had a mean cluster size of 50.14 vs. 28.9 (p<0.001). Second order spatial analysis of clustered fingerprint 2 (n=122), a Beijing family cluster, revealed geographic clustering among cases based on their report of bus use. Univariate and multivariate analysis of routes reported by cases belonging to these clusters found that 10 of the 14 clusters were associated with use. Individual Metro routes, including one route servicing the local hospitals, were found to be risk factors for belonging to a cluster shown to be endemic in Houston. The routes themselves geographically connect the census tracts previously identified as having endemic TB. 78% (15/23) of Houston Metro routes investigated had one or more print groups reporting frequent use for every HTI study year. We present data on three specific but clonally related print groups and show that bus-use is clustered in time by route and is the only known link between cases in one of the three prints: print 22. (Abstract shortened by UMI.)^

A cross-sectional analysis of the association between polycyclic aromatic hydrocarbons and diesel particulate matter exposures and hypertension among individuals of Mexican origin residing in Houston, TX

Background. Research has shown that elevations of only 10 mmHg diastolic blood pressure (BP) and 5 mmHg systolic BP are associated with substantial (as large as 50%) increases in risks for cardiovascular disease, a leading cause of death, worldwide. Epidemiological studies have found that particulate matter (PM) increases blood pressure (BP) and many biological mechanisms which may suggest that the organic matter of PM contributes to the increase in BP. To understand components of PM which may contribute to the increase in BP, this study focuses on diesel particulate matter (DPM) and polycyclic aromatic hydrocarbons (PAHs). To our knowledge, there have been only four epidemiological studies on BP and DPM, and no epidemiological studies on BP and PAHs. ^ Objective. Our objective was to evaluate the association between prevalent hypertension and two ambient exposures: DPM and PAHs amongst the Mano a Mano cohort. ^ Methods. The Mano a Mano cohort which was established by the M.D. Anderson Cancer Center in 2001, is comprised of individuals of Mexican origin residing in Houston, TX. Using geographical information systems, we linked modeled annual estimates of PAHs and DPM at the census track level from the U.S. Environmental Protection Agency's National-Scale Air Toxics Assessment to residential addresses of cohort members. Mixed-effects logistic regression models were applied to determine associations between DPM and PAHs and hypertension while adjusting for confounders. ^ Results. Ambient levels of DPM, categorized into quartiles, were not statistically associated with hypertension and did not indicate a dose response relationship. Ambient levels of PAHs, categorized into quartiles, were not associated with hypertension, but did indicate a dose response relationship in multiple models (for example: Q2: OR = 0.98; 95% CI, 0.73–1.31, Q3: OR = 1.08; 95% CI, 0.82–1.41, Q4: OR = 1.26; 95% CI, 0.94–1.70). ^ Conclusion. This is the first assessment to analyze the relationship between ambient levels of PAHs and hypertension and it is amongst a few studies investigating the association between ambient levels of DPM and hypertension. Future analyses are warranted to explore the effects DPM and PAHs using different categorizations in order to clarify their relationships with hypertension.^