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墨西哥幽门螺杆菌感染的感染力:使用分层贝叶斯模型进行全国调查的证据。

Force of infection of Helicobacter pylori in Mexico: evidence from a national survey using a hierarchical Bayesian model.

机构信息

Division of Health Policy and Management,University of Minnesota School of Public Health,Minneapolis, MN, 55455,USA.

Division of Epidemiology and Community Health,University of Minnesota School of Public Health,Minneapolis, MN, 55455,USA.

出版信息

Epidemiol Infect. 2018 Jun;146(8):961-969. doi: 10.1017/S0950268818000857. Epub 2018 Apr 16.

Abstract

Helicobacter pylori (H. pylori) is present in the stomach of half of the world's population. The force of infection describes the rate at which susceptibles acquire infection. In this article, we estimated the age-specific force of infection of H. pylori in Mexico. Data came from a national H. pylori seroepidemiology survey collected in Mexico in 1987-88. We modelled the number of individuals with H. pylori at a given age as a binomial random variable. We assumed that the cumulative risk of infection by a given age follows a modified exponential catalytic model, allowing some fraction of the population to remain uninfected. The cumulative risk of infection was modelled for each state in Mexico and were shrunk towards the overall national cumulative risk curve using Bayesian hierarchical models. The proportion of the population that can be infected (i.e. susceptible population) is 85.9% (95% credible interval (CR) 84.3%-87.5%). The constant rate of infection per year of age among the susceptible population is 0.092 (95% CR 0.084-0.100). The estimated force of infection was highest at birth 0.079 (95% CR 0.071-0.087) decreasing to zero as age increases. This Bayesian hierarchical model allows stable estimation of state-specific force of infection by pooling information between the states, resulting in more realistic estimates.

摘要

幽门螺杆菌(H. pylori)存在于全球一半人口的胃中。感染强度描述了易感人群感染的速度。在本文中,我们估计了墨西哥特定年龄组的幽门螺杆菌感染强度。数据来自于 1987-88 年在墨西哥进行的全国性幽门螺杆菌血清流行病学调查。我们将特定年龄组的幽门螺杆菌个体数量建模为二项式随机变量。我们假设感染的累积风险遵循修正的指数催化模型,允许一部分人群保持未感染状态。我们对墨西哥每个州的感染累积风险进行了建模,并使用贝叶斯层次模型将各州的累积风险曲线向全国总体累积风险曲线收缩。可感染人群(即易感人群)的比例为 85.9%(95%可信区间(CR)84.3%-87.5%)。易感人群中每年的感染常数为 0.092(95% CR 0.084-0.100)。感染强度在出生时最高,为 0.079(95% CR 0.071-0.087),随着年龄的增长逐渐降至零。这种贝叶斯层次模型通过在各州之间共享信息来稳定估计特定年龄组的感染强度,从而得出更现实的估计值。

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