2,866,687 research outputs found
Other title: At head of page K-1: Kansas operational survival plan : emergency welfare service : Annex K; Other title: E̜mergency welfare service : Kansas operational survival plan; Other title: Kansas operational survival plan
No full text"June 1958."; "Mission: To provide special emergency welfare services to individuals and families."A plan on serving the immediate needs of people in an enemy attack on the United States
Cowpox virus infection in natural field vole Microtus agrestispopulations: significant negative impacts on survival
Full text link1. Cowpox virus is an endemic virus circulating in populations of wild rodents. It has been implicated as a potential cause of population cycles in field voles Microtus agrestis L., in Britain, owing to a delayed density-dependent pattern in prevalence, but its impact on field vole demographic parameters is unknown. This study tests the hypothesis that wild field voles infected with cowpox virus have a lower probability of survival than uninfected individuals. 2. The effect of cowpox virus infection on the probability of an individual surviving to the next month was investigated using longitudinal data collected over 2 years from four grassland sites in Kielder Forest, UK. This effect was also investigated at the population level, by examining whether infection prevalence explained temporal variation in survival rates, once other factors influencing survival had been controlled for. 3. Individuals with a probability of infection, P(I), of 1 at a time when base survival rate was at median levels had a 22.4% lower estimated probability of survival than uninfected individuals, whereas those with a P(I) of 0.5 had a 10.4% lower survival. 4. At the population level, survival rates also decreased with increasing cowpox prevalence, with lower survival rates in months of higher cowpox prevalence. 5. Simple matrix projection models with 28 day time steps and two stages, with 71% of voles experiencing cowpox infection in their second month of life (the average observed seroprevalence at the end of the breeding season) predict a reduction in 28-day population growth rate during the breeding season from λ = 1.62 to 1.53 for populations with no cowpox infection compared with infected populations. 6. This negative correlation between cowpox virus infection and field vole survival, with its potentially significant effect on population growth rate, is the first for an endemic pathogen in a cyclic population of wild rodents
Cancer Survival Group: UK Life Tables
No full textLife tables constructed by the Cancer Survival Group for use in survival analyses covering England, Wales, Scotland, and Northern Ireland between 1971 and 2009. Variables contained include: sex, age, mortality rate, calendar year, country, Government Office Region and deprivation indices
Join the coalition for survival march
No full textFlier, created by the Coalition for Survival, publicizing a march from the District Building to the White House and a rally in Lafayette Square on Saturday April 7, 1973 to voice opposition to President Nixon's budget cuts to education, welfare, food stamps, housing, medical care, and job training. The Coalition for Survival is comprised of around 90 organization
The formula for survival in resuscitation
No full textAbstract: The International Liaison Committee on Resuscitation (ILCOR) Advisory Statement on Education and Resuscitation in 2003 included a hypothetical formula - 'the formula for survival' (FfS) - whereby three interactive factors, guideline quality (science), efficient education of patient caregivers (education) and a well-functioning chain of survival at a local level (local implementation), form multiplicands in determining survival from resuscitation. In May 2006, a symposium was held to discuss the validity of the formula for survival hypothesis and to investigate the influence of each of the multiplicands on survival. This commentary combines the output from this symposium with an updated illustration of the three multiplicands in the FfS using rapid response systems (RRS) for medical science, therapeutic hypothermia (TH) for local implementation, and bystander cardiopulmonary resuscitation (CPR) for educational efficiency. International differences between hospital systems made it difficult to assign a precise value for the multiplicand medical science using RRS as an example. Using bystander CPR as an example for the multiplicand educational efficiency, it was also difficult to provide a precise value, mainly because of differences between compression-only and standard CPR. The local implementation multiplicand (exemplified by therapeutic hypothermia) is probably the easiest to improve, and is likely to have the most immediate improvement in observed survival outcome in most systems of care. Despite the noted weaknesses, we believe that the FfS will be useful as a mental framework when trying to improve resuscitation outcome in communities worldwide. (C) 2013 Elsevier Ireland Ltd. All rights reserved
Integrated Multi-omics Survival Analysis of Gynecologic and Breast Cancers
Full text linkopenThis study utilized a multi-omics approach, incorporating gene expression, methylation, copy number variation, and mutation data, to analyze the survival of patients with Breast Carcinoma and Gynecologic Cancers (Ovarian Serous Cystadenocarcinoma, Uterine Corpus Endometrial Carcinoma, Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma, and Uterine Carcinosarcoma). The goal was to identify pathways and specific genes within those pathways that were significantly associated with patient survival. The MOSClip R package, a topological pathway analysis tool, was utilized to identify significant pathways, modules, and genes in survival analysis. This tool was chosen for its unique ability to perform survival analysis using multi-omics data while accounting for interactions among genes. Then, Cytoscape was used to visualize the topology of significant genes within each module. Through this analysis, 33 genes were identified as being common among different types of cancers. Afterwards, a comprehensive literature review was conducted to compare our findings with those of other studies. Then, heatmaps were created for each cancer type to illustrate the effect of significant genes on patient survival. Subsequently, Kaplan-Meier plots were compared among different types of cancers to provide valuable insights into the survival rates. Finally, an additional test was performed to assess the accuracy of survival prediction.This study utilized a multi-omics approach, incorporating gene expression, methylation, copy number variation, and mutation data, to analyze the survival of patients with Breast Carcinoma and Gynecologic Cancers (Ovarian Serous Cystadenocarcinoma, Uterine Corpus Endometrial Carcinoma, Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma, and Uterine Carcinosarcoma). The goal was to identify pathways and specific genes within those pathways that were significantly associated with patient survival. The MOSClip R package, a topological pathway analysis tool, was utilized to identify significant pathways, modules, and genes in survival analysis. This tool was chosen for its unique ability to perform survival analysis using multi-omics data while accounting for interactions among genes. Then, Cytoscape was used to visualize the topology of significant genes within each module. Through this analysis, 33 genes were identified as being common among different types of cancers. Afterwards, a comprehensive literature review was conducted to compare our findings with those of other studies. Then, heatmaps were created for each cancer type to illustrate the effect of significant genes on patient survival. Subsequently, Kaplan-Meier plots were compared among different types of cancers to provide valuable insights into the survival rates. Finally, an additional test was performed to assess the accuracy of survival prediction
Parametric frailty and shared frailty survival models
Full text linkFrailty models are the survival data analog to regression models, which account for heterogeneity and random effects. A frailty is a latent multiplicative effect on the hazard function and is assumed to have unit mean and variance theta, which is estimated along with the other model parameters. A frailty model is an heterogeneity model where the frailties are assumed to be individual- or spell-specific. A shared frailty model is a random effects model where the frailties are common (or shared) among groups of individuals or spells and are randomly distributed across groups. Parametric frailty models were made available in Stata with the release of Stata 7, while parametric shared frailty models were made available in a recent series of updates. This article serves as a primer to those fitting parametric frailty models in Stata via the streg command. Frailty models are compared to shared frailty models, and both are shown to be equivalent in certain situations. The user-specified form of the distribution of the frailties (whether gamma or inverse Gaussian) is shown to subtly affect the interpretation of the results. Methods for obtaining predictions that are either conditional or unconditional on the frailty are discussed. An example that analyzes the time to recurrence of infection after catheter insertion in kidney patients is studied. Copyright 2002 by Stata Corporation.parametric survival analysis, frailty, random effects, overdispersion, heterogeneity
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