Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Aden governorate, Yemen. Issue 3 (23rd March 2021)
- Record Type:
- Journal Article
- Title:
- Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Aden governorate, Yemen. Issue 3 (23rd March 2021)
- Main Title:
- Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Aden governorate, Yemen
- Authors:
- Koum Besson, Emilie S
Norris, Andy
Bin Ghouth, Abdulla S
Freemantle, Terri
Alhaffar, Mervat
Vazquez, Yolanda
Reeve, Chris
Curran, Patrick J
Checchi, Francesco - Abstract:
- Abstract : Background: The burden of COVID-19 in low-income and conflict-affected countries remains unclear, largely reflecting low testing rates. In parts of Yemen, reports indicated a peak in hospital admissions and burials during May–June 2020. To estimate excess mortality during the epidemic period, we quantified activity across all identifiable cemeteries within Aden governorate (population approximately 1 million) by analysing very high-resolution satellite imagery and compared estimates to Civil Registry office records. Methods: After identifying active cemeteries through remote and ground information, we applied geospatial analysis techniques to manually identify new grave plots and measure changes in burial surface area over a period from July 2016 to September 2020. After imputing missing grave counts using surface area data, we used alternative approaches, including simple interpolation and a generalised additive mixed growth model, to predict both actual and counterfactual (no epidemic) burial rates by cemetery and across the governorate during the most likely period of COVID-19 excess mortality (from 1 April 2020) and thereby compute excess burials. We also analysed death notifications to the Civil Registry office over the same period. Results: We collected 78 observations from 11 cemeteries. In all but one, a peak in daily burial rates was evident from April to July 2020. Interpolation and mixed model methods estimated ≈1500 excess burials up to 6 July, andAbstract : Background: The burden of COVID-19 in low-income and conflict-affected countries remains unclear, largely reflecting low testing rates. In parts of Yemen, reports indicated a peak in hospital admissions and burials during May–June 2020. To estimate excess mortality during the epidemic period, we quantified activity across all identifiable cemeteries within Aden governorate (population approximately 1 million) by analysing very high-resolution satellite imagery and compared estimates to Civil Registry office records. Methods: After identifying active cemeteries through remote and ground information, we applied geospatial analysis techniques to manually identify new grave plots and measure changes in burial surface area over a period from July 2016 to September 2020. After imputing missing grave counts using surface area data, we used alternative approaches, including simple interpolation and a generalised additive mixed growth model, to predict both actual and counterfactual (no epidemic) burial rates by cemetery and across the governorate during the most likely period of COVID-19 excess mortality (from 1 April 2020) and thereby compute excess burials. We also analysed death notifications to the Civil Registry office over the same period. Results: We collected 78 observations from 11 cemeteries. In all but one, a peak in daily burial rates was evident from April to July 2020. Interpolation and mixed model methods estimated ≈1500 excess burials up to 6 July, and 2120 up to 19 September, corresponding to a peak weekly increase of 230% from the counterfactual. Satellite imagery estimates were generally lower than Civil Registry data, which indicated a peak 1823 deaths in May alone. However, both sources suggested the epidemic had waned by September 2020. Discussion: To our knowledge, this is the first instance of satellite imagery being used for population mortality estimation. Findings suggest a substantial, under-ascertained impact of COVID-19 in this urban Yemeni governorate and are broadly in line with previous mathematical modelling predictions, though our method cannot distinguish direct from indirect virus deaths. Satellite imagery burial analysis appears a promising novel approach for monitoring epidemics and other crisis impacts, particularly where ground data are difficult to collect. … (more)
- Is Part Of:
- BMJ global health. Volume 6:Issue 3(2021)
- Journal:
- BMJ global health
- Issue:
- Volume 6:Issue 3(2021)
- Issue Display:
- Volume 6, Issue 3 (2021)
- Year:
- 2021
- Volume:
- 6
- Issue:
- 3
- Issue Sort Value:
- 2021-0006-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03-23
- Subjects:
- COVID-19 -- geographic information systems -- epidemiology -- public Health
World health -- Periodicals
362.105 - Journal URLs:
- http://www.bmj.com/archive ↗
http://gh.bmj.com/ ↗ - DOI:
- 10.1136/bmjgh-2020-004564 ↗
- Languages:
- English
- ISSNs:
- 2059-7908
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17152.xml