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2007 年美国各州和各县的衣原体、淋病和梅毒病例分布。

The distribution of chlamydia, gonorrhoea and syphilis cases across states and counties in the USA, 2007.

机构信息

Division of STD Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.

出版信息

Sex Transm Infect. 2010 Dec;86 Suppl 3:iii52-57. doi: 10.1136/sti.2009.040873.

Abstract

OBJECTIVES

To examine the distribution of chlamydia, gonorrhoea and syphilis in the USA through the use of Lorenz curves and Gini coefficients.

METHODS

The distribution of three sexually transmitted diseases (STD; chlamydia, gonorrhoea and primary and secondary syphilis) was examined across states and counties in the USA in 2007, based on reported case numbers. Gini coefficients, which can range from 0 (equality in STD rates across geographical units) to 1 (complete inequality such that all STD occur in one geographical unit) were calculated.

RESULTS

Overall, chlamydia was the most evenly distributed and syphilis was the most concentrated of the three STD examined. The Gini coefficients for chlamydia, gonorrhoea and syphilis were 0.121, 0.255 and 0.334, respectively, when examined across states, and 0.319, 0.494 and 0.630, respectively, when examined across counties. Differences in Gini coefficients were observed when the STD distributions were examined by sex, race/ethnicity and age group.

CONCLUSIONS

The use of Lorenz curves and Gini coefficients can help to assess inequalities in the distribution of STD, to gauge the suitability of geographically targeted interventions, and to help in determining the epidemic phase of STD. Having a better understanding of the disparities in the distribution of STD across states and counties by sex, race/ethnicity and age group might help in understanding why disparities in STD rates exist across different groups and in developing interventions to address these disparities.

摘要

目的

通过洛伦兹曲线和基尼系数,研究美国衣原体、淋病和梅毒的分布情况。

方法

根据 2007 年报告的病例数,分析了美国各州和各县三种性传播疾病(衣原体、淋病和原发性及二期梅毒)的分布情况。计算了基尼系数(取值范围从 0(地理单位间 STD 发病率均等)到 1(完全不平等,即所有 STD 均发生在一个地理单位))。

结果

总体而言,衣原体的分布最均匀,梅毒的分布最集中。在州一级,衣原体、淋病和梅毒的基尼系数分别为 0.121、0.255 和 0.334;在县一级,分别为 0.319、0.494 和 0.630。按性别、种族/民族和年龄组分析三种 STD 的分布时,基尼系数存在差异。

结论

洛伦兹曲线和基尼系数的应用有助于评估性传播疾病分布的不平等程度,衡量地理靶向干预的适宜性,并有助于确定性传播疾病的流行阶段。更好地了解按性别、种族/民族和年龄组划分的各州和各县性传播疾病分布的差异,有助于了解为什么不同群体的性传播疾病发病率存在差异,并制定解决这些差异的干预措施。

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