A total of 345 absences have been recorded by staff since Police Scotland began using the 'post-Covid syndrome' category
Hundreds of police officers have been signed off work with long Covid since the start of the pandemic, new date has revealed.
The figures were revealed in a freedom of information request by the justice affairs magazine 1919. In the financial year up to December, there were 131 long Covid absences by police officers and staff. David Kennedy, general secretary of the Scottish Police Federation, said: "The issues surrounding Covid-19 will be far-reaching for generations and we can only hope that the public inquiries both in Scotland and UK-wide will shine a light on these issues.
Top news stories today "The physical, mental and financial help that will be required in years to come needs to be a priority for them.Assistant Chief Constable Alan Speirs told 1919: "Officers and staff showed outstanding professionalism and commitment to help keep people safe during the pandemic.
United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Organ and cell-specific biomarkers of Long-COVID identified with targeted proteomics and machine learning - Molecular MedicineBackground Survivors of acute COVID-19 often suffer prolonged, diffuse symptoms post-infection, referred to as “Long-COVID”. A lack of Long-COVID biomarkers and pathophysiological mechanisms limits effective diagnosis, treatment and disease surveillance. We performed targeted proteomics and machine learning analyses to identify novel blood biomarkers of Long-COVID. Methods A case–control study comparing the expression of 2925 unique blood proteins in Long-COVID outpatients versus COVID-19 inpatients and healthy control subjects. Targeted proteomics was accomplished with proximity extension assays, and machine learning was used to identify the most important proteins for identifying Long-COVID patients. Organ system and cell type expression patterns were identified with Natural Language Processing (NLP) of the UniProt Knowledgebase. Results Machine learning analysis identified 119 relevant proteins for differentiating Long-COVID outpatients (Bonferonni corrected P | 0.01). Protein combinations were narrowed down to two optimal models, with nine and five proteins each, and with both having excellent sensitivity and specificity for Long-COVID status (AUC = 1.00, F1 = 1.00). NLP expression analysis highlighted the diffuse organ system involvement in Long-COVID, as well as the involved cell types, including leukocytes and platelets, as key components associated with Long-COVID. Conclusions Proteomic analysis of plasma from Long-COVID patients identified 119 highly relevant proteins and two optimal models with nine and five proteins, respectively. The identified proteins reflected widespread organ and cell type expression. Optimal protein models, as well as individual proteins, hold the potential for accurate diagnosis of Long-COVID and targeted therapeutics.
Read more »
'I buy stuff on sale in Tesco then resell it on Amazon to make hundreds'Reselling is the latest side hustle trend to take off on social media
Read more »
Hundreds of thousands of small businesses may fold this year - wiping £12bn from economy, report saysOne in eight owners of small businesses fear they will fold, according to the annual Venture Forward study by website builder GoDaddy.
Read more »
Hundreds could move to First Street in student apartments and food hall plansHundreds of students could move to First Street in new apartment block and food hall plans
Read more »
Side hustle that ‘makes hundreds’ using simple Tesco trickReselling is the latest side hustle trend to take off on social media Curiously
Read more »