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Determinants of prevalence and intensity of hookworm infection.

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Figshare2015-12-03 更新2026-04-29 收录
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Results obtained using multivariate non-spatial models and data from a cross-sectional parasitological and questionnaire survey, Champasack province, southern Lao PDR in 2007. Prevalence models: Bayesian non-spatial mixed effects logistic modelIntensity models: Bayesian non-spatial mixed effects NB modelCI, credible intervalOR, odds ratio (posterior median)IRR, incidence rate ratio (posterior median)a For the intensity of infection, IRRs correspond to the effect of sex among the baseline age group (5–17 years)b For the intensity of infection, IRRs correspond to the effect of age among malesc σ2 is the location-specific unexplained varianced r is the dispersion parameter from the negative binomial (NB) distribution that quantifies the amount of extra-Poisson variatione Deviance information criterion.Determinants of prevalence and intensity of hookworm infection.
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2015-12-03
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