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Global Public Health
An International Journal for Research, Policy and Practice
Volume 17, 2022 - Issue 7
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Review Article

United States immigration detention amplifies disease interaction risk: A model for a transnational ICE-TB-DM2 syndemic

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Pages 1152-1171 | Received 18 Nov 2020, Accepted 27 Mar 2021, Published online: 04 May 2021
 

ABSTRACT

Detention and removal of unauthorised immigrants by United States (U.S.) Immigration and Customs Enforcement (ICE) has steadily increased despite declining rates of unauthorised migration. ICE detainees are held in overcrowded detention centres, often without due process and deprived of adequate food, sanitation, and medical care. Conditions of ICE detention contribute to malnutrition and increase the likelihood of infectious disease exposure, including tuberculosis (TB). TB infection interacts with Type 2 Diabetes (DM2), disproportionately affecting individuals who are routinely targeted by federal immigration practices. When two diseases interact and exacerbate one another within a larger structural context, thereby amplifying multiple disease interactions, this is called a syndemic. In this paper, we examine malnutrition in ICE detention as a pathway of bidirectional risks for and interactions between TB and DM2 among ICE detainees. Drawing from literature on detention conditions, TB, and DM2 rates along the U.S.-Mexico border, we propose an ICE-TB-DM2 syndemic model. We present a map displaying our proposed syndemic model to demonstrate the spatial application of syndemic theory in the context of ICE detention, strengthening the growing scholarship on syndemics of incarceration and removal.

Acknowledgements

We gratefully acknowledge Stephanie Loomer, Alexus Skobodzinski, David Gonzalez-Cameron, Bianca Bracho-Perez, Svyatoslav Petrov, Joshua Hartman, Yasin Damji, Samantha Eakes, Matthew Zin, and Cleo Faraone for their contributions to initial literature searches, review, and synthesis for this project as members of the syndemics seminar where the concept and syndemic model were first developed.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors declare no funding sources.

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