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DIGITAL.CSIC
Other ORP type . 2020 . Peer-reviewed
Data sources: DIGITAL.CSIC
DIGITAL.CSIC
Other ORP type . 2020
Data sources: Datacite
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After COVID-19, all centenarians?

Authors: Moreno, Luis; Rahmeh, Amal; Jiménez, Raúl;

After COVID-19, all centenarians?

Abstract

Life expectancy for humans averaged around 35 years until the end of the 19th century. Since then, it has more than doubled, especially in Mediterranean countries where it now reaches almost 85 years. According to the World Economic Forum, in 2040 Spain would be the country with the highest life expectancy in the world (85.8 years) and Italy would rank fifth (84.5 years). The impact of the Covid-19 pandemic will affect these predictions as both countries have had an excess of deaths during 2020. However, both countries exemplify the increase of life expectancy during the last 120 years. The main factor promoting this increase in life expectancy is the development of antibiotics and vaccines that resulted in a marked decrease in bacterial and viral diseases that plagued our species throughout history. The current leading causes of death in the Western world, and especially in Europe, are dominated by coronary heart disease and cancer-related conditions. That is, diseases related to old age and poor eating habits in advanced societies. Nevertheless, infectious diseases are far from being eliminated as a threat, since bacteria and viruses continue to evolve and circumvent both natural and artificial barriers to infection.

Con autorización del periódico para autores CSIC. El artículo apareció en la sección Agenda Social.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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Cancer Research