Vaccination scandinavium
Vaccination mod covid og influenza; Vaccination mod covid og influenza. Her kan du blive vaccineret Ældre +65 Personer med kronisk sygdom Gravide. Thank you for visiting nature. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. In this paper we analyze the impact of vaccinations on spread of the COVID virus for different age groups.
More specifically, we examine the deployment of vaccines in the Nordic countries in a comparative analysis where we focus on factors such as healthcare stress level and severity of disease through new infections, hospitalizations, intensive care unit ICU occupancy and deaths. Moreover, we analyze the impact of the various vaccine types, vaccination rate on the spread of the virus in each age group for Denmark, Finland, Iceland, Norway and Sweden from the start of the vaccination period in December until the end of September We perform a threefold analysis: i frequency analysis of infections and vaccine rates by age groups; ii rolling correlations between vaccination strategies, severity of COVID and healthcare stress level and; iii we also employ the epidemic Renormalization Group eRG framework.
The eRG is used to mathematically model wave structures, as well as the impact of vaccinations on wave dynamics. We further compare the Nordic countries with England. Our main results outline the quantification of the impact of the vaccination campaigns on age groups epidemiological data, across countries with high vaccine uptake. The data clearly shows that vaccines markedly reduce the number of new cases and the risk of serious illness.
In December , a severe respiratory disease emerged in Wuhan, China 1. December 2 , 3 , the virus has spread quickly, causing a worldwide health crisis. The spread has occurred in waves, and the virus evolves and mutates, and consequently we have yet not seen the final numbers of ebb and flow with million confirmed cases and 4. To halt the spread, various non-pharmaceutical methods were put into place, such as limited travel in combination with social distancing, which proved to be important measures to slow down the short-term spread 4.
Eventually, pharmaceutical interventions were administered through vaccinations, to slow down the long-term spread 5 , 6. The first vaccine doses were administered in December , a year after the pandemic started.
Vaccination programmes and recommendations
Since then, vaccinations have been seen as the utmost important strategy for containing the spread of the virus, for minimizing risks for citizens and ultimately for slowly alleviating the non-pharmaceutical restrictions that were put in place 6. Other papers have showed that super-spreaders are the important link in taming the pandemic, as they spread the virus to the healthy and the ill; ergo they should be vaccinated first 8 , 9 , Since there are several different standpoints on the topic, it is important to quantify and compare the temporal impact of vaccinations, through a data-driven approach.
The time from vaccination start, until September was a critical time frame, and it is therefore interesting to retrospectively examine the data from that period. Furthermore, the vaccination uptake was and is especially high in some European countries. In Iceland In Denmark In Finland In Sweden Likewise, England had high numbers early. Since the vaccine uptake was high already in September , we rely on data up until that point in our analysis.
Due to limited supply of vaccine, and because the virus is highly contagious, the way the vaccine for COVID is prioritized in each country, is utmost important The strategies for prioritization vary between countries, where some countries administer the vaccine first to those of higher age or with serious health issues while other countries prioritize those in high-exposure occupations which are considered a greater risk for spreading the virus 12 , Furthermore, the time between doses, and whether to focus on administering one dose or fully vaccinating people in each age group also varies, as can be seen from the statistics from the Nordic countries we consider in this paper.
These extremes in choices related to vaccine brands offered, was especially visible in the Nordic countries, where each country chose their own path. Because of that, and due to high and rapid vaccine uptake in the Nordic countries from the get go, they are interesting to examine closer.
RSV vaccine
Based on that, we examine the link between new infections and vaccination uptake through open data in the Nordic countries and ask the following two research questions: i how are the wave structures effected by the vaccination rate within and between various age groups in countries with high vaccination uptake? The aim is to examine the dynamic correlations between infections and vaccination rates within and between age groups in the Nordic countries.
More specifically, we factor in new infections and vaccine uptake for each age group and illustrate the differences in the vaccination strategy chosen, and the effects in new cases, the vaccination rate in each age group, seriousness of illness in the population and healthcare stress level. We note that we are not clinically measuring healthcare stress level, instead we take a holistic view of healthcare stress level, thereby assessing the strain on the healthcare system via the number of hospitalisations and ICU occupancy.
Furthermore, we employ the epidemic Renormalization Group eRG framework to illustrate wave structures and the impact of vaccinations on the wave structure and we contrast these findings with data from England 14 , The main contribution of this paper is the quantification of the effects of the vaccine on age groups, across countries with high vaccine uptake. In this section we review our methods, and the data used for this paper.
Our data is extracted from open source online repositories on the virus spread through new cases reported, the seriousness of the infection through hospitalizations and deaths, the vaccinations in each country for each age group and vaccine type, and the interplay between these variables. The data analysis performed for this study is threefold: i frequency analysis of infections and vaccine rates by age groups; ii rolling correlations between vaccination strategies, severity of COVID and healthcare stress level, and; iii we also employ the epidemic Renormalization Group eRG framework.
The vaccine uptake in the the Nordic countries was high early on, as stated earlier. In the data analyzed in this paper we look at weekly numbers of doses administered for all vaccine types allowed and administered in the Nordic countries. COV 2.