Accounting for historical injustices in mathematical models of infectious disease transmission: An analytic overview.
Accounting for historical injustices in mathematical models of infectious disease transmission: An analytic overview.
复制标题
解释传染病传播数学模型中的历史不公正：分析概述。
DOI：
10.1016/j.epidem.2023.100679
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发表时间：
2023-06
期刊：
影响因子：
3.8
通讯作者：
Galea, Sandro
中科院分区：
文献类型：
--
作者：
Abuelezam, Nadia N.;Michel, Isaacson;Marshall, Brandon D. L.;Galea, Sandro
传染病风险、获得和严重程度的差异源于交叉的压迫制度和由此产生的历史不公正，这些制度塑造了个人的行为和环境。我们将历史上的不公正定义为产生于相互交织的压迫制度的独特事件和政策。我们认为，历史的不公正作为一种媒介，通过结构性力量直接和间接地影响健康，因此，重要的是在传染病的差距的背景下进行研究。在这一批判性分析中，我们旨在强调将历史不公正纳入传染病传播数学模型的重要性，并提供有关方法的背景。我们提供了两个模型构建元素的示例（即，参数化、验证和校准），以便更好地了解传染病结果中的健康差异。数学模型不承认传染病动力学背后的历史力量，这不可避免地导致我们关注的个体化，并推荐站不住脚的个人行为处方来解决传染病的负担。
Differences in infectious disease risk, acquisition, and severity arise from intersectional systems of oppression and resulting historical injustices that shape individual behavior and circumstance. We define historical injustices as distinct events and policies that arise out of intersectional systems of oppression. We view historical injustices as a medium through which structural forces affect health both directly and indirectly, and are thus important to study in the context of infectious disease disparities. In this critical analysis we aim to highlight the importance of incorporating historical injustices into mathematical models of infectious disease transmission and provide context on the methodologies to do so. We offer two illustrations of elements of model building (i.e., parameterization, validation and calibration) that can allow for a better understanding of health disparities in infectious disease outcomes. Mathematical models that do not recognize the historical forces that underlie infectious disease dynamics inevitably lead to the individualization of our focus and the recommendation of untenable individual-behavioral prescriptions to address the burden of infectious disease.
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DOI：
10.1097/qai.0000000000001817
发表时间：
2018-11-01
期刊：
Journal of acquired immune deficiency syndromes (1999)
影响因子：
--
作者：
Goedel WC;King MRF;Lurie MN;Nunn AS;Chan PA;Marshall BDL
通讯作者：
Marshall BDL
影响因子：
9.3
作者：
Niedzwiedz, Claire L.;O'Donnell, Kate A.;Katikireddi, S. Vittal
通讯作者：
Katikireddi, S. Vittal
DOI：
10.1097/qai.0000000000001620
发表时间：
2018-04-15
期刊：
Journal of acquired immune deficiency syndromes (1999)
影响因子：
--
作者：
Janulis P;Phillips G;Birkett M;Mustanski B
通讯作者：
Mustanski B
影响因子：
168.9
作者：
Coovadia, Hoosen;Jewkes, Rachel;McIntyre, Diane
通讯作者：
McIntyre, Diane
影响因子：
1.3
作者：
Chowkwanyun, Merlin
通讯作者：
Chowkwanyun, Merlin