Imperial College London
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Dr Zulma M Cucunubá

Faculty of Medicine, School 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{Vecino-Ortiz:2021:10.1371/journal.pone.0246987,
author = {Vecino-Ortiz, AI and Villanueva, Congote J and Zapata, Bedoya S and Cucunuba, ZM},
doi = {10.1371/journal.pone.0246987},
journal = {PLoS One},
title = {Impact of contact tracing on COVID-19 mortality: an impact evaluation using surveillance data from Colombia},
url = {http://dx.doi.org/10.1371/journal.pone.0246987},
volume = {16},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BACKGROUND: Contact tracing is a crucial part of the public health surveillance toolkit. However, it is labor-intensive and costly to carry it out. Some countries have faced challenges implementing contact tracing, and no impact evaluations using empirical data have assessed its impact on COVID-19 mortality. This study assesses the impact of contact tracing in a middle-income country, providing data to support the expansion and optimization of contact tracing strategies to improve infection control. METHODS: We obtained publicly available data on all confirmed COVID-19 cases in Colombia between March 2 and June 16, 2020. (N = 54,931 cases over 135 days of observation). As suggested by WHO guidelines, we proxied contact tracing performance as the proportion of cases identified through contact tracing out of all cases identified. We calculated the daily proportion of cases identified through contact tracing across 37 geographical units (32 departments and five districts). Further, we used a sequential log-log fixed-effects model to estimate the 21-days, 28-days, 42-days, and 56-days lagged impact of the proportion of cases identified through contact tracing on daily COVID-19 mortality. Both the proportion of cases identified through contact tracing and the daily number of COVID-19 deaths are smoothed using 7-day moving averages. Models control for the prevalence of active cases, second-degree polynomials, and mobility indices. Robustness checks to include supply-side variables were performed. RESULTS: We found that a 10 percent increase in the proportion of cases identified through contact tracing is related to COVID-19 mortality reductions between 0.8% and 3.4%. Our models explain between 47%-70% of the variance in mortality. Results are robust to changes of specification and inclusion of supply-side variables. CONCLUSION: Contact tracing is instrumental in containing infectious diseases. Its prioritization as a surveillance strategy will substantially impact reducin
AU  - Vecino-Ortiz,AI
AU  - Villanueva,Congote J
AU  - Zapata,Bedoya S
AU  - Cucunuba,ZM
DO  - 10.1371/journal.pone.0246987
PY  - 2021///
SN  - 1932-6203
TI  - Impact of contact tracing on COVID-19 mortality: an impact evaluation using surveillance data from Colombia
T2  - PLoS One
UR  - http://dx.doi.org/10.1371/journal.pone.0246987
UR  - https://www.ncbi.nlm.nih.gov/pubmed/33661926
UR  - http://hdl.handle.net/10044/1/88932
VL  - 16
ER  -
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