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1.
PLoS One ; 16(11): e0250541, 2021.
Article in English | MEDLINE | ID: covidwho-1496343

ABSTRACT

BACKGROUND: A year following the onset of the COVID-19 pandemic, new infections and deaths continue to increase in Europe. Serological studies, through providing evidence of past infection, can aid understanding of the population dynamics of SARS-CoV-2 infection. OBJECTIVES: This systematic review of SARS-CoV-2 seroprevalence studies in Europe was undertaken to inform public health strategies including vaccination, that aim to accelerate population immunity. METHODS: We searched the databases Web of Science, MEDLINE, EMBASE, SCOPUS, Cochrane Database of Systematic Reviews and grey literature sources for studies reporting seroprevalence of SARS-CoV-2 antibodies in Europe published between 01/12/2019-30/09/20. We provide a narrative synthesis of included studies. Studies were categorized into subgroups including healthcare workers (HCWs), community, outbreaks, pregnancy and children/school. Due to heterogeneity in other subgroups, we only performed a random effects meta-analysis of the seroprevalence amongst HCWs stratified by their country. RESULTS: 115 studies were included spanning 17 European countries, that estimated the seroprevalence of SARS-CoV-2 from samples obtained between November 2019 -August 2020. A total of 54/115 studies included HCWs with a reported seroprevalence among HCWs ranging from 0.7% to 45.3%, which did not differ significantly by country. In community studies significant heterogeneity was reported in the seroprevalence between different age groups and the majority of studies reported there was no significant difference by gender. CONCLUSION: This review demonstrates a wide heterogeneity in reported seroprevalence of SARS-CoV-2 antibodies between populations. Continued evaluation of seroprevalence is required to understand the impact of public health measures and inform interventions including vaccination programmes.


Subject(s)
COVID-19/epidemiology , COVID-19/immunology , COVID-19/prevention & control , Europe/epidemiology , Humans , Pandemics , Public Health , Seroepidemiologic Studies
2.
J Healthc Leadersh ; 13: 19-26, 2021.
Article in English | MEDLINE | ID: covidwho-1088819

ABSTRACT

Inequalities in health have existed for many decades and have led to unjust consequences in morbidity and mortality. These have become even more apparent during the COVID-19 pandemic with individuals from black and minority ethnic groups, poorer socioeconomic backgrounds, urban and rurally deprived locations, and vulnerable groups of society suffering the full force of its effects. This review is highlighting the current disparities that exist within different societies, that subsequently demonstrate COVID-19, does in fact, discriminate against disadvantaged individuals. Also explored in detail are the measures that can and should be taken to improve equality and provide equitable distribution of healthcare resources amongst underprivileged communities.

3.
J Card Surg ; 36(5): 1729-1733, 2021 May.
Article in English | MEDLINE | ID: covidwho-1075870

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has increased the burden on hospital staff world-wide. Through the redistribution of scarce resources to these high-priority cases, the cardiac sector has fallen behind. In efforts to reduce transmission, reduction in direct patient-physician contact has led to a backlog of cardiac cases. However, this accumulation of postponed or cancelled nonurgent cardiac care seems to be resolvable with the assistance of technology. From telemedicine to artificial intelligence (AI), technology has transformed healthcare systems nationwide. Telemedicine enables patient monitoring from a distance, while AI unveils a whole new realm of possibilities in clinical practice, examples include: traditional systems replacement with more efficient and accurate processing machines; automation of clerical process; and triage assistance through risk predictions. These possibilities are driven by deep and machine learning. The two subsets of AI are explored and limitations regarding "big data" are discussed. The aims of this review are to explore AI: the advancements in methodology; current integration in cardiac surgery or other clinical scenarios; and potential future roles, which are innately nearing as the COVID-19 era urges alternative approaches for care.


Subject(s)
COVID-19 , Cardiac Surgical Procedures , Artificial Intelligence , Humans , Pandemics , SARS-CoV-2
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