Imperial College London
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Professor Christl Donnelly CBE FMedSci FRS

Faculty of Medicine, School of Public Health

Visiting Professor
 
 
 
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Contact

 

c.donnelly Website

 
 
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Location

 

School of Public HealthWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{McCabe:2023:10.1126/sciadv.adg7676,
author = {McCabe, R and Sheppard, R and Abdelmagid, N and Ahmed, A and Alabdeen, IZ and Brazeau, N and Abd, Elhameed AEA and Bin-Ghouth, AS and Hamlet, A and AbuKoura, R and Barnsley, G and Hay, J and Alhaffar, M and Besson, EK and Saje, SM and Sisay, BG and Gebreyesus, SH and Sikamo, AP and Worku, A and Ahmed, YS and Mariam, DH and Sisay, MM and Checchi, F and Dahab, M and Endris, BS and Ghani, A and Walker, P and Donnelly, C and Watson, O},
doi = {10.1126/sciadv.adg7676},
journal = {Science Advances},
pages = {1--10},
title = {Alternative epidemic indicators for COVID-19 in three settings with incomplete death registration systems},
url = {http://dx.doi.org/10.1126/sciadv.adg7676},
volume = {23},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Not all COVID-19 deaths are officially reported, and particularly in low-income and humanitarian settings, the magnitude of reporting gaps remains sparsely characterized. Alternative data sources, including burial site worker reports, satellite imagery of cemeteries, and social media–conducted surveys of infection may offer solutions. By merging these data with independently conducted, representative serological studies within a mathematical modeling framework, we aim to better understand the range of underreporting using examples from three major cities: Addis Ababa (Ethiopia), Aden (Yemen), and Khartoum (Sudan) during 2020. We estimate that 69 to 100%, 0.8 to 8.0%, and 3.0 to 6.0% of COVID-19 deaths were reported in each setting, respectively. In future epidemics, and in settings where vital registration systems are limited, using multiple alternative data sources could provide critically needed, improved estimates of epidemic impact. However, ultimately, these systems are needed to ensure that, in contrast to COVID-19, the impact of future pandemics or other drivers of mortality is reported and understood worldwide.
AU  - McCabe,R
AU  - Sheppard,R
AU  - Abdelmagid,N
AU  - Ahmed,A
AU  - Alabdeen,IZ
AU  - Brazeau,N
AU  - Abd,Elhameed AEA
AU  - Bin-Ghouth,AS
AU  - Hamlet,A
AU  - AbuKoura,R
AU  - Barnsley,G
AU  - Hay,J
AU  - Alhaffar,M
AU  - Besson,EK
AU  - Saje,SM
AU  - Sisay,BG
AU  - Gebreyesus,SH
AU  - Sikamo,AP
AU  - Worku,A
AU  - Ahmed,YS
AU  - Mariam,DH
AU  - Sisay,MM
AU  - Checchi,F
AU  - Dahab,M
AU  - Endris,BS
AU  - Ghani,A
AU  - Walker,P
AU  - Donnelly,C
AU  - Watson,O
DO  - 10.1126/sciadv.adg7676
EP  - 10
PY  - 2023///
SN  - 2375-2548
SP  - 1
TI  - Alternative epidemic indicators for COVID-19 in three settings with incomplete death registration systems
T2  - Science Advances
UR  - http://dx.doi.org/10.1126/sciadv.adg7676
UR  - https://www.science.org/doi/full/10.1126/sciadv.adg7676
UR  - http://hdl.handle.net/10044/1/104620
VL  - 23
ER  -
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