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  1. Artikel: COVID-19 in unequally ageing European regions.

    Kashnitsky, Ilya / Aburto, José Manuel

    World development

    2020  Band 136, Seite(n) 105170

    Abstract: ... In the map NUTS-3 regions of Europe are colored according to the deviation from European pooled estimate ... between the NUTS-3 regions of Europe in the context of unequal age- and sex-specific death risks ... associated with the spread of the COVID-19 pandemic. Since older people are exposed to much higher death ...

    Abstract The map presented in this brief note summarizes regional differences in population age structures between the NUTS-3 regions of Europe in the context of unequal age- and sex-specific death risks associated with the spread of the COVID-19 pandemic. Since older people are exposed to much higher death risks, older populations are expected to face much more difficult challenges coping with the pandemic. The urban/rural dimension turns out to be very important as the remote rural areas are also the oldest. In the map NUTS-3 regions of Europe are colored according to the deviation from European pooled estimate of the proportion of population at risk of death due to COVID-19. We assume that 5/6 of the populations get infected and experience age-specific infection-fatality ratios (IFRs) modelled by the Imperial College COVID-19 Response Team. We adjust IFRs by sex ratios of age-specific case-fatality ratios observed in the European countries that are included in the COVerAGE-DB. Thus, we effectively introduce a summary measure of population age structures focused on the most vulnerable to the pandemic. Such an estimate for the total European population is 1%. The map reflects the unequal population age structures rather than the precise figures on COVID-19 fatality. It is a case-if scenario that highlights the possible effect of the population age structures, a demographic perspective. This analysis clearly shows the contribution of regional differences in population age structures to the magnitude of the pandemic - other things equal, we expect to see a four-fold variation in average regional infection-fatality ratios across Europe due only to differences in the population structures.
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-08-28
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 1500836-8
    ISSN 0305-750X
    ISSN 0305-750X
    DOI 10.1016/j.worlddev.2020.105170
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: COVID-19 in unequally ageing European regions

    Kashnitsky, Ilya / Aburto, José Manuel

    World Development

    2020  Band 136, Seite(n) 105170

    Schlagwörter Geography, Planning and Development ; Economics and Econometrics ; Development ; Sociology and Political Science ; covid19
    Sprache Englisch
    Verlag Elsevier BV
    Erscheinungsland us
    Dokumenttyp Artikel ; Online
    ZDB-ID 1500836-8
    ISSN 0305-750X
    ISSN 0305-750X
    DOI 10.1016/j.worlddev.2020.105170
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Buch ; Online: COVID-19 in unequally ageing European regions

    Kashnitsky, Ilya / Aburto, José Manuel

    2020  

    Abstract: ... In the map NUTS-3 regions of Europe are colored according to the deviation from European pooled estimate ... between the NUTS-3 regions of Europe in the context of unequal age- and sex-specific death risks ... associated with the spread of the COVID-19 pandemic. Since older people are exposed to much higher death ...

    Abstract The map presented in this brief note summarizes regional differences in population age structures between the NUTS-3 regions of Europe in the context of unequal age- and sex-specific death risks associated with the spread of the COVID-19 pandemic. Since older people are exposed to much higher death risks, older populations are expected to face much more difficult challenges coping with the pandemic. The urban/rural dimension turns out to be very important as the remote rural areas are also the oldest. In the map NUTS-3 regions of Europe are colored according to the deviation from European pooled estimate of the proportion of population at risk of death due to COVID-19. We assume that 5/6 of the populations get infected and experience age-specific infection-fatality ratios (IFRs) modelled by the Imperial College COVID-19 Response Team. We adjust IFRs by sex ratios of age-specific case-fatality ratios observed in the European countries that are included in the COVerAGE-DB. Thus, we effectively introduce a summary measure of population age structures focused on the most vulnerable to the pandemic. Such an estimate for the total European population is 1%. The map reflects the unequal population age structures rather than the precise figures on COVID-19 fatality. It is a case-if scenario that highlights the possible effect of the population age structures, a demographic perspective. This analysis clearly shows the contribution of regional differences in population age structures to the magnitude of the pandemic -- other things equal, we expect to see a four-fold variation in average regional infection-fatality ratios across Europe due only to differences in the population structures.
    Schlagwörter covid19
    Verlag Center for Open Science
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    DOI 10.31219/osf.io/abx7s
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Buch ; Online: COVID-19 in unequally ageing European regions

    Kashnitsky, Ilya / Aburto, José Manuel

    Abstract: In the map NUTS-3 regions of Europe are colored according to the deviation from European pooled ... estimate of the proportion of population at risk of death due to COVID-19. These estimates assume age ... specific case-fatality ratio the same as in Italy for the 3047 first registered COVID-19 deaths (19 March ...

    Abstract In the map NUTS-3 regions of Europe are colored according to the deviation from European pooled estimate of the proportion of population at risk of death due to COVID-19. These estimates assume age-specific case-fatality ratio the same as in Italy for the 3047 first registered COVID-19 deaths (19 March 2020) and 2/3 of the total population infected. Such an estimate for the total European population is 2.2%. Please note, this estimate is very rough and unlikely to hold true due to multiple biases of the data for the unfolding pandemic; in contrast, the population age structures data are of good quality. Thus, whatever the total infected population is and the absolute values of age-specific case-fatality ratios, the relative differences between regions would hold as long as the age-specific profile of case-fatality ratios stays proportional. This map reflects the unequal population age structures rather than the precise figures on COVID-19 fatality. It's a demographic perspective.
    Schlagwörter covid19
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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