Syndemics and clinical science

The theory of syndemics has received increasing attention in clinical medicine since the onset of the COVID-19 pandemic, due to the synergistic interactions of the disease with pre-existing political, structural, social and health conditions. In simple terms, syndemics are synergistically interactin...

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Veröffentlicht in:Nature medicine Jg. 28; H. 7; S. 1359 - 1362
Hauptverfasser: Mendenhall, Emily, Kohrt, Brandon A., Logie, Carmen H., Tsai, Alexander C.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Nature Publishing Group US 01.07.2022
Nature Publishing Group
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ISSN:1078-8956, 1546-170X, 1546-170X
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Abstract The theory of syndemics has received increasing attention in clinical medicine since the onset of the COVID-19 pandemic, due to the synergistic interactions of the disease with pre-existing political, structural, social and health conditions. In simple terms, syndemics are synergistically interacting epidemics that occur in a particular context with shared drivers. When policymakers ask why some communities have higher death rates from COVID-19 compared with other communities, those working from a syndemics framework argue that multiple factors synergistically work in tandem, and populations with the highest morbidity and mortality experience the greatest impact of these interactions. In this Perspective, we use specific case examples to illustrate these concepts. We discuss the emergence of syndemics, how epidemics interact, and what scientists, clinicians and policymakers can do with this information. This Perspective delivers an introduction to syndemic thinking, and provides insights into how epidemics interact and what scientists, clinicians and policymakers can do with this information.
AbstractList The theory of syndemics has received increasing attention in clinical medicine since the onset of the COVID-19 pandemic, due to the synergistic interactions of the disease with pre-existing political, structural, social and health conditions. In simple terms, syndemics are synergistically interacting epidemics that occur in a particular context with shared drivers. When policymakers ask why some communities have higher death rates from COVID-19 compared with other communities, those working from a syndemics framework argue that multiple factors synergistically work in tandem, and populations with the highest morbidity and mortality experience the greatest impact of these interactions. In this Perspective, we use specific case examples to illustrate these concepts. We discuss the emergence of syndemics, how epidemics interact, and what scientists, clinicians and policymakers can do with this information.The theory of syndemics has received increasing attention in clinical medicine since the onset of the COVID-19 pandemic, due to the synergistic interactions of the disease with pre-existing political, structural, social and health conditions. In simple terms, syndemics are synergistically interacting epidemics that occur in a particular context with shared drivers. When policymakers ask why some communities have higher death rates from COVID-19 compared with other communities, those working from a syndemics framework argue that multiple factors synergistically work in tandem, and populations with the highest morbidity and mortality experience the greatest impact of these interactions. In this Perspective, we use specific case examples to illustrate these concepts. We discuss the emergence of syndemics, how epidemics interact, and what scientists, clinicians and policymakers can do with this information.
The theory of syndemics has received increasing attention in clinical medicine since the onset of the COVID-19 pandemic, due to the synergistic interactions of the disease with pre-existing political, structural, social and health conditions. In simple terms, syndemics are synergistically interacting epidemics that occur in a particular context with shared drivers. When policymakers ask why some communities have higher death rates from COVID-19 compared with other communities, those working from a syndemics framework argue that multiple factors synergistically work in tandem, and populations with the highest morbidity and mortality experience the greatest impact of these interactions. In this Perspective, we use specific case examples to illustrate these concepts. We discuss the emergence of syndemics, how epidemics interact, and what scientists, clinicians and policymakers can do with this information. This Perspective delivers an introduction to syndemic thinking, and provides insights into how epidemics interact and what scientists, clinicians and policymakers can do with this information.
The theory of syndemics has received increasing attention in clinical medicine since the onset of the COVID-19 pandemic, due to the synergistic interactions of the disease with pre-existing political, structural, social and health conditions. In simple terms, syndemics are synergistically interacting epidemics that occur in a particular context with shared drivers. When policymakers ask why some communities have higher death rates from COVID-19 compared with other communities, those working from a syndemics framework argue that multiple factors synergistically work in tandem, and populations with the highest morbidity and mortality experience the greatest impact of these interactions. In this Perspective, we use specific case examples to illustrate these concepts. We discuss the emergence of syndemics, how epidemics interact, and what scientists, clinicians and policymakers can do with this information.This Perspective delivers an introduction to syndemic thinking, and provides insights into how epidemics interact and what scientists, clinicians and policymakers can do with this information.
Author Logie, Carmen H.
Kohrt, Brandon A.
Tsai, Alexander C.
Mendenhall, Emily
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  givenname: Carmen H.
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  givenname: Alexander C.
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  surname: Tsai
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Copyright Springer Nature America, Inc. 2022
Copyright Nature Publishing Group Jul 2022
2022. Springer Nature America, Inc.
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Metabolic Diseases
Molecular Medicine
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