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Africa's COVID-19 statistics highlight bias in excess death modelling
Meagher, Kate;
Meagher, Kate;
Africa's COVID-19 statistics highlight bias in excess death modelling
Despite high levels of informality, Africa’s statistics on COVID-19 mortality have been paradoxically low in comparison to countries in the Global North. Examining studies that attribute low counts to poor statistical reporting, Kate Meagher argues that excess death estimates tell us more about the assumptions of the modellers than they do about the realities of COVID-19 in Africa.
United Kingdom
- London School of Economics and Political Science United Kingdom
RA0421 Public health. Hygiene. Preventive Medicine, HV Social pathology. Social and public welfare. Criminology
RA0421 Public health. Hygiene. Preventive Medicine, HV Social pathology. Social and public welfare. Criminology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 24 downloads 5 citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average - 24views5downloads
citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
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Average
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24
5
Related to Research communities
COVID-19
- London School of Economics and Political Science United Kingdom
Despite high levels of informality, Africa’s statistics on COVID-19 mortality have been paradoxically low in comparison to countries in the Global North. Examining studies that attribute low counts to poor statistical reporting, Kate Meagher argues that excess death estimates tell us more about the assumptions of the modellers than they do about the realities of COVID-19 in Africa.