960 resultados para King Valley
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[arr. by M. Persin]
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A.Schor
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Gershon Katz
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by E. D. Morel
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Signatur des Originals: S 36/F03237
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Signatur des Originals: S 36/F08945
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Signatur des Originals: S 36/F11675
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Signatur des Originals: S 36/F11678
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Signatur des Originals: S 36/G02908
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This study used canine sentinel surveillance and collected a sample of adult mosquitoes to investigate the potential impact of West Nile virus (WNV) in human populations in the Rio Grande Valley along the Texas-Mexico border. Samples for this study were collected from juvenile dogs two months to one year of age in animal shelters located in the Rio Grande Valley. The sample was comprised of stray dogs in order to include animals with maximum nighttime exposures to Culex mosquitoes. Serum samples were collected following the 2007 WNV transmission season and were tested for IgG antibodies against WNV. Evidence of antibodies to WNV was found in 35.1% of the sample population consisting of 74 dogs. During this same time period, mosquitoes in Brownsville were trapped and morphologically identified to develop greater understanding of the mosquito populations in the region and to further understand other potential mosquito vectors for disease transmission. The vast majority of mosquitoes living in this area were Aedes albopictus (47.6%), Culex quinquefasciatus (23.7%), and Aedes aegypti (20.1%). This study shows that WNV and the vector responsible for WNV transmission are active in the Rio Grande Valley and pose a threat to the human and animal populations. ^
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The number of people with end-stage-renal-disease (ESRD) and living with dialysis is a growing public health concern. Most studies about the impact of ESRD on people’s lives have placed attention on the medical and clinical dimension of ESRD. Very few have given attention to the environmental and cultural context in which people with ESRD live, the adaptation that these individuals must make to adjust to living with ESRD and dialysis, or the occupations in which they engage. Additionally these studies have not focused on Mexican Americans who are disproportionately affected by this illness and condition. This qualitative study explores the needs, perceptions, and issues facing Mexican Americans with ESRD living with dialysis as well as their families. Participants were residents of the Lower Rio Grande Valley and included individuals with ESRD, family members, and the healthcare providers who give care to them. The Health Belief Model and Lifestyle Performance Model served as the theoretical frameworks. The study also explored the daily occupations of this population. ^ In-depth interviews were conducted on 15 Mexican Americans with ESRD living with dialysis, 15 family members, and six dialysis healthcare providers. A video documentary of the day-to-day life of three individuals with ESRD and their families was produced. Such data do not currently exist and will greatly enhance the understanding of the human experience of living with ESRD. The results suggest that a collective effort of the family unit is at work to deal with the demands of dialysis. An imbalance and disharmony exist among the occupational activities, which creates occupational deprivation and disruption for both the individuals and family members. Implications for practice and recommendations for further research are described. ^
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In recent years, disaster preparedness through assessment of medical and special needs persons (MSNP) has taken a center place in public eye in effect of frequent natural disasters such as hurricanes, storm surge or tsunami due to climate change and increased human activity on our planet. Statistical methods complex survey design and analysis have equally gained significance as a consequence. However, there exist many challenges still, to infer such assessments over the target population for policy level advocacy and implementation. ^ Objective. This study discusses the use of some of the statistical methods for disaster preparedness and medical needs assessment to facilitate local and state governments for its policy level decision making and logistic support to avoid any loss of life and property in future calamities. ^ Methods. In order to obtain precise and unbiased estimates for Medical Special Needs Persons (MSNP) and disaster preparedness for evacuation in Rio Grande Valley (RGV) of Texas, a stratified and cluster-randomized multi-stage sampling design was implemented. US School of Public Health, Brownsville surveyed 3088 households in three counties namely Cameron, Hidalgo, and Willacy. Multiple statistical methods were implemented and estimates were obtained taking into count probability of selection and clustering effects. Statistical methods for data analysis discussed were Multivariate Linear Regression (MLR), Survey Linear Regression (Svy-Reg), Generalized Estimation Equation (GEE) and Multilevel Mixed Models (MLM) all with and without sampling weights. ^ Results. Estimated population for RGV was 1,146,796. There were 51.5% female, 90% Hispanic, 73% married, 56% unemployed and 37% with their personal transport. 40% people attained education up to elementary school, another 42% reaching high school and only 18% went to college. Median household income is less than $15,000/year. MSNP estimated to be 44,196 (3.98%) [95% CI: 39,029; 51,123]. All statistical models are in concordance with MSNP estimates ranging from 44,000 to 48,000. MSNP estimates for statistical methods are: MLR (47,707; 95% CI: 42,462; 52,999), MLR with weights (45,882; 95% CI: 39,792; 51,972), Bootstrap Regression (47,730; 95% CI: 41,629; 53,785), GEE (47,649; 95% CI: 41,629; 53,670), GEE with weights (45,076; 95% CI: 39,029; 51,123), Svy-Reg (44,196; 95% CI: 40,004; 48,390) and MLM (46,513; 95% CI: 39,869; 53,157). ^ Conclusion. RGV is a flood zone, most susceptible to hurricanes and other natural disasters. People in the region are mostly Hispanic, under-educated with least income levels in the U.S. In case of any disaster people in large are incapacitated with only 37% have their personal transport to take care of MSNP. Local and state government’s intervention in terms of planning, preparation and support for evacuation is necessary in any such disaster to avoid loss of precious human life. ^ Key words: Complex Surveys, statistical methods, multilevel models, cluster randomized, sampling weights, raking, survey regression, generalized estimation equations (GEE), random effects, Intracluster correlation coefficient (ICC).^