Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 May 12;18(10):5104.
doi: 10.3390/ijerph18105104.

One Year of the COVID-19 Pandemic in Galicia: A Global View of Age-Group Statistics during Three Waves

Affiliations

One Year of the COVID-19 Pandemic in Galicia: A Global View of Age-Group Statistics during Three Waves

Iván Area et al. Int J Environ Res Public Health. .

Abstract

In this work we look at the past in order to analyze four key variables after one year of the COVID-19 pandemic in Galicia (NW Spain): new infected, hospital admissions, intensive care unit admissions and deceased. The analysis is presented by age group, comparing at each stage the percentage of the corresponding group with its representation in the society. The time period analyzed covers 1 March 2020 to 1 April 2021, and includes the influence of the B.1.1.7 lineage of COVID-19 which in April 2021 was behind 90% of new cases in Galicia. It is numerically shown how the pandemic affects the age groups 80+, 70+ and 60+, and therefore we give information about how the vaccination process could be scheduled and hints at why the pandemic had different effects in different territories.

Keywords: SARS-CoV-2; deceased; hospital admissions; intensive care unit admission; new infected.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Daily count of newly infected individuals in Galicia since the beginning of the pandemic (raw data). Vertical grid lines separate each week and note Sundays to point out the “weekend effect”: most of them correspond to local minima in daily new infected values.
Figure 2
Figure 2
Newly infected individuals (a), admissions to hospitals (b), admissions to intensive care units (c) and deceased (d) in Galicia since the beginning of the pandemic, by considering age groups and means of the seven previous days.
Figure 3
Figure 3
Percentages of newly infected (a), admissions to hospitals (b), admissions to intensive care units (c) and deceased (d) in Galicia since the beginning of the pandemic, by considering age groups and means of the seven previous days.
Figure 4
Figure 4
Newly infected (a), admissions to hospitals (b), admissions to intensive care units (c) and deceased (d) in Galicia for every 100,000 individuals of each group since the beginning of the pandemic, by considering age groups and means of the seven previous days.
Figure 5
Figure 5
Percentages of 80+ among newly infected (a), admissions to hospitals (b), admissions to intensive care units (c) and deceased (d) in Galicia since 1st January 2021 for the age group 80+.

References

    1. Ndaïrou F., Area I., Nieto J.J., Torres D.F. Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan. Chaos Solitons Fractals. 2020;135:109846. doi: 10.1016/j.chaos.2020.109846. - DOI - PMC - PubMed
    1. Liao Z., Lan P., Liao Z., Zhang Y., Liu S. TW-SIR: Time-window based SIR for COVID-19 forecasts. Sci. Rep. 2020;10:1–15. doi: 10.1038/s41598-020-80007-8. - DOI - PMC - PubMed
    1. Silva C.J., Cruz C., Torres D.F.M., Muñuzuri A.P., Carballosa A., Area I., Nieto J.J., Fonseca-Pinto R., Passadouro R., dos Santos E.S., et al. Optimal control of the COVID-19 pandemic: Controlled sanitary deconfinement in Portugal. Sci. Rep. 2021;11:1–15. doi: 10.1038/s41598-021-83075-6. - DOI - PMC - PubMed
    1. Postnikov E.B. Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions? Chaos Solitons Fractals. 2020;135:109841. doi: 10.1016/j.chaos.2020.109841. - DOI - PMC - PubMed
    1. Singh A., Bajpai M.K. SEIHCRD Model for COVID-19 Spread Scenarios, Disease Predictions and Estimates the Basic Reproduction Number, Case Fatality Rate, Hospital, and ICU Beds Requirement. CMES Comput. Model. Eng. Sci. 2020;125:991–1031. doi: 10.32604/cmes.2020.012503. - DOI

Publication types