ArticleScientific reports2026
Spatio-temporal trends in COVID-19 morbidity and mortality due to elderly: a global perspective.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
COVID-19 spread worldwide after emerging at the end of 2020 with a higher spread and death among the elderly and varies across the continent and country. This study aimed to investigate the spatio-temporal trends in COVID-19 morbidity and mortality due to the elderly. COVID-19 infected cases and death data were converted into morbidity and mortality rates per 1,000 population. Thematic maps were used for spatial illustration over time. Linear and Theil-Sen regression models were used to estimate the rate of change in COVID-19 morbidity and mortality due to the elderly. The results revealed a significant relation and change in the global COVID-19 morbidity and mortality rates due to the elderly population (p-value < 0.05). Europe experienced the highest rate of change in COVID-19 morbidity due to the elderly population, followed by Oceania and North America. Moreover, the elderly proportion had the greatest rate of change in COVID-19 mortality in North America, followed by Europe and Africa. The results of this study will enable researchers and experts for data-driven decisions that are more resilient. Moreover, it enables healthcare experts and policymakers to develop guidelines to improve preparedness for future pandemics.
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