McCabe, Ruth; Whittaker, Charles; Sheppard, Richard J; Abdelmagid, Nada; Ahmed, Aljaile; Alabdeen, Israa Zain; Brazeau, Nicholas F; Ahmed Abd Elhameed, Abd Elhameed; Bin-Ghouth, Abdulla Salem; Hamlet, Arran; +20 more... AbuKoura, Rahaf; Barnsley, Gregory; Hay, James A; Alhaffar, Mervat; Koum Besson, Emilie; Saje, Semira Mitiku; Sisay, Binyam Girma; Gebreyesus, Seifu Hagos; Sikamo, Adane Petros; Worku, Aschalew; Ahmed, Yakob Seman; Mariam, Damen Haile; Sisay, Mitike Molla; Checchi, Francesco; Dahab, Maysoon; Endris, Bilal Shikur; Ghani, Azra C; Walker, Patrick GT; Donnelly, Christl A; Watson, Oliver J; (2023) Alternative epidemic indicators for COVID-19 in three settings with incomplete death registration systems. Science advances, 9 (23). eadg7676-. ISSN 2375-2548 DOI: https://doi.org/10.1126/sciadv.adg7676
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Abstract
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.
Item Type | Article |
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Faculty and Department |
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & International Health (2023-) Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) |
Research Centre | Covid-19 Research |
PubMed ID | 37294754 |
Elements ID | 204417 |
Official URL | http://dx.doi.org/10.1126/sciadv.adg7676 |
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