Shrestha Sourya, Hill Andrew N, Marks Suzanne M, Dowdy David W
1 Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; and.
2 Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia.
Am J Respir Crit Care Med. 2017 Oct 15;196(8):1050-1059. doi: 10.1164/rccm.201702-0377OC.
There is substantial state-to-state heterogeneity in tuberculosis (TB) in the United States; better understanding this heterogeneity can inform effective response to TB at the state level, the level at which most TB control efforts are coordinated.
To characterize drivers of state-level heterogeneity in TB epidemiology in the four U.S. states that bear half the country's TB burden: California, Florida, New York, and Texas.
We constructed an individual-based model of TB in the four U.S. states and calibrated the model to state-specific demographic and age- and nativity-stratified TB incidence data. We used the model to infer differences in natural history of TB and in future projections of TB.
We found that differences in both demographic makeup (particularly the size and composition of the foreign-born population) and TB transmission dynamics contribute to state-level differences in TB epidemiology. The projected median annual rate of decline in TB incidence in the next decade was substantially higher in Texas (3.3%; 95% range, -5.6 to 10.9) than in California (1.7%; 95% range, -3.8 to 7.1), Florida (1.5%; 95% range, -7.4 to 14), and New York (1.9%; 95% range, -6.4 to 9.8). All scenarios projected a flattening of the decline in TB incidence by 2025 without additional resources or interventions.
There is substantial state-level heterogeneity in TB epidemiology in the four states, which reflect both demographic factors and potential differences in the natural history of TB. These differences may inform resource allocation decisions in these states.
美国各州在结核病(TB)方面存在显著的异质性;更好地了解这种异质性有助于在州一级制定有效的结核病应对措施,而州一级是大多数结核病控制工作的协调层面。
描述美国承担全国一半结核病负担的四个州(加利福尼亚州、佛罗里达州、纽约州和得克萨斯州)结核病流行病学州级异质性的驱动因素。
我们构建了一个基于个体的美国这四个州的结核病模型,并根据各州特定的人口统计学以及按年龄和出生地分层的结核病发病率数据对模型进行校准。我们使用该模型推断结核病自然史的差异以及结核病的未来预测情况。
我们发现人口构成差异(特别是外国出生人口的规模和构成)以及结核病传播动态都导致了结核病流行病学的州级差异。预计未来十年得克萨斯州结核病发病率的年下降率中位数(3.3%;95%范围,-5.6至10.9)显著高于加利福尼亚州(1.7%;95%范围,-3.8至7.1)、佛罗里达州(1.5%;95%范围,-7.4至14)和纽约州(1.9%;95%范围,-6.4至9.8)。所有情景都预测,如果没有额外资源或干预措施,到2025年结核病发病率下降趋势将趋于平缓。
这四个州在结核病流行病学方面存在显著的州级异质性,这既反映了人口因素,也反映了结核病自然史的潜在差异。这些差异可能为这些州的资源分配决策提供参考。