Spatial scan statistics with Bernoulli and Poisson models are commonly used for geographical disease surveillance and cluster detection. These models, suitable for count data, were not designed for continuous outcome data. We propose a spatial scan statistic based on an exponential model to be used for uncensored or censored continuous survival data. The power and sensitivity of the developed model are investigated through intensive simulations. The method performs well for different survival distribution functions including the exponential, gamma and log normal distributions. How to adjust the analysis for covariates is described in detail. The method is illustrated using survival data for men diagnosed with prostate cancer in Connecticut from 1984 to 1995.
This retrospective study aimed to identify factors associated with breastfeeding duration among women enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) of Hartford, Connecticut. The authors included mothers whose children were younger than 5 years and had stopped breastfeeding (N = 155). Women who had planned their pregnancies were twice as likely as those who did not plan them to breastfeed for more than 6 months (odds ratio, 2.15; 95% confidence interval, 1.00–4.64). One additional year of maternal age was associated with a 9% increase on the likelihood of breastfeeding for more than 6 months (odds ratio, 1.09; 95% confidence interval, 1.02–1.17). Time in the United States was inversely associated with the likelihood of breastfeeding for more than 6 months (odds ratio, 0.96; 95% confidence interval, 0.92–0.99). Return to work, sore nipples, lack of access to breast pumps, and free formula provided by WIC were identified as breastfeeding barriers. Findings can help WIC improve its breastfeeding promotion efforts.
To estimate the number of adults medically eligible to donate blood, the percent of the general population over the age of 16 deferrable by 13 current American Red Cross donor guidelines was calculated using the best available United States data. Categories examined included age, weight, hematocrit, pregnancy, blood pressure, heart disease, diabetes requiring insulin, male homosexual activity since 1977, intravenous drug use, sexual partner of high-risk group member, recent transfusion, history of cancer, and other (medical, surgical, travel history). Sex-specific total eligibility rates were estimated by serial multiplication of individual eligibility rates (1.0 minus deferral rates) to account for the proportionate overlap of independent categories, with corrections for expected associations between categories. The resultant eligibility rates for women (57%) and men (70%) indicate fewer eligible donors than commonly stated. Surrogate testing (ALT, anti-HBc) for non-A, non-B hepatitis would further reduce the percent of eligible donors to 55 and 67%, respectively. Based on the actual numbers of women and men in the population, these calculations indicate that an equal number of women and men are medically eligible to donate.
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