Accounting for historical injustices in mathematical models of infectious disease transmission: An analytic overview
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 syst...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Epidemics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1755436523000154 |
| _version_ | 1797805852862709760 |
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| author | Nadia N. Abuelezam Isaacson Michel Brandon DL Marshall Sandro Galea |
| author_facet | Nadia N. Abuelezam Isaacson Michel Brandon DL Marshall Sandro Galea |
| author_sort | Nadia N. Abuelezam |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T05:58:22Z |
| format | Article |
| id | doaj.art-cb5073bca47140cfa8e57078b451f141 |
| institution | Directory Open Access Journal |
| issn | 1755-4365 |
| language | English |
| last_indexed | 2024-03-13T05:58:22Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Epidemics |
| spelling | doaj.art-cb5073bca47140cfa8e57078b451f1412023-06-13T04:12:01ZengElsevierEpidemics1755-43652023-06-0143100679Accounting for historical injustices in mathematical models of infectious disease transmission: An analytic overviewNadia N. Abuelezam0Isaacson Michel1Brandon DL Marshall2Sandro Galea3Boston College, William F. Connell School of Nursing, Chestnut Hill, MA, USA; Correspondence to: Boston College William F. Connell School of Nursing, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA.Boston College, William F. Connell School of Nursing, Chestnut Hill, MA, USADepartment of Epidemiology, School of Public Health, Brown University, Providence, RI, USABoston University, School of Public Health, Boston, MA, USADifferences 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.http://www.sciencedirect.com/science/article/pii/S1755436523000154Mathematical modelingHealth disparitiesEquity and justiceInfectious disease dynamics |
| spellingShingle | Nadia N. Abuelezam Isaacson Michel Brandon DL Marshall Sandro Galea Accounting for historical injustices in mathematical models of infectious disease transmission: An analytic overview Epidemics Mathematical modeling Health disparities Equity and justice Infectious disease dynamics |
| title | Accounting for historical injustices in mathematical models of infectious disease transmission: An analytic overview |
| title_full | Accounting for historical injustices in mathematical models of infectious disease transmission: An analytic overview |
| title_fullStr | Accounting for historical injustices in mathematical models of infectious disease transmission: An analytic overview |
| title_full_unstemmed | Accounting for historical injustices in mathematical models of infectious disease transmission: An analytic overview |
| title_short | Accounting for historical injustices in mathematical models of infectious disease transmission: An analytic overview |
| title_sort | accounting for historical injustices in mathematical models of infectious disease transmission an analytic overview |
| topic | Mathematical modeling Health disparities Equity and justice Infectious disease dynamics |
| url | http://www.sciencedirect.com/science/article/pii/S1755436523000154 |
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