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Covid-19 in Guinea-Bissau::The (too) many unknowns?

Authors: Damerow, Sabine; Bohlbro, Anders Solitander; Jensen, Andreas Møller;

Covid-19 in Guinea-Bissau::The (too) many unknowns?

Abstract

In the Covid-19 pandemic, it seems that African countries have been largely spared from the devastating effects observed elsewhere. Working and living in Guinea-Bissau, one of the poorest and most fragile countries in the world located in West Africa, we wonder: How can the world know that there are only few Covid-19 cases in a country where the health system is weak and access to Covid-19 tests very limited? How can the world know that there is a low Covid-19 mortality in a country without a reliable civil registration and vital statistic system? In this article, we explore the (too) many unknowns of Covid-19 in Guinea-Bissau. The article was chosen as the 1st place winner of the 2020 Eye on Global Health Writing Competition.

Country
Denmark
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Keywords

COVID-19, Guinea-Bissau

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  • 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
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
Average
Average
Average
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COVID-19
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