Imperial College London

Dr Zulma M Cucunubá

Faculty of MedicineSchool of Public Health

Honorary Lecturer
 
 
 
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Contact

 

zulma.cucunuba

 
 
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Location

 

G27Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Laajaj:2022:10.1038/s41598-022-11706-7,
author = {Laajaj, R and Webb, D and Aristizabal, D and Behrentz, E and Bernal, R and Buitrago, G and Cucunubá, Z and de, la Hoz F and Gaviria, A and Hernández, LJ and De, Los Rios C and Ramírez, Varela A and Restrepo, S and Schady, N and Vives, M},
doi = {10.1038/s41598-022-11706-7},
journal = {Sci Rep},
title = {Understanding how socioeconomic inequalities drive inequalities in COVID-19 infections.},
url = {http://dx.doi.org/10.1038/s41598-022-11706-7},
volume = {12},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Across the world, the COVID-19 pandemic has disproportionately affected economically disadvantaged groups. This differential impact has numerous possible explanations, each with significantly different policy implications. We examine, for the first time in a low- or middle-income country, which mechanisms best explain the disproportionate impact of the virus on the poor. Combining an epidemiological model with rich data from Bogotá, Colombia, we show that total infections and inequalities in infections are largely driven by inequalities in the ability to work remotely and in within-home secondary attack rates. Inequalities in isolation behavior are less important but non-negligible, while access to testing and contract-tracing plays practically no role because it is too slow to contain the virus. Interventions that mitigate transmission are often more effective when targeted on socioeconomically disadvantaged groups.
AU - Laajaj,R
AU - Webb,D
AU - Aristizabal,D
AU - Behrentz,E
AU - Bernal,R
AU - Buitrago,G
AU - Cucunubá,Z
AU - de,la Hoz F
AU - Gaviria,A
AU - Hernández,LJ
AU - De,Los Rios C
AU - Ramírez,Varela A
AU - Restrepo,S
AU - Schady,N
AU - Vives,M
DO - 10.1038/s41598-022-11706-7
PY - 2022///
TI - Understanding how socioeconomic inequalities drive inequalities in COVID-19 infections.
T2 - Sci Rep
UR - http://dx.doi.org/10.1038/s41598-022-11706-7
UR - https://www.ncbi.nlm.nih.gov/pubmed/35585211
VL - 12
ER -