Did COVID-19 surveillance system sensitivity change after Omicron? A retrospective observational study in England DOI
Julii Brainard, Iain Lake, Roger Morbey

и другие.

Опубликована: Апрель 28, 2025

Abstract Background During the COVID-19 pandemic in England, increases and falls cases were monitored using many surveillance systems (SS). However, sensitivity may have changed as different variants introduced to population, due greater disease-resistance after comprehensive vaccination programmes widespread natural infection or for other reasons. Methods Time series data from ten epidemic trackers England that available Sept 2021-June 2022 compared each Spearman correlation statistics. Least biased most timely SS identified ‘best’ standard trackers, while tracking datasets we denote complementary trackers. We best with Correlation calculations 95% confidence intervals made between tested hypothesis was especially poor during transition periods when Delta, Omicron BA.1 BA.2 sublineages dominant. Daily ascertainment percentages of incident detected variant’s dominance calculated. statistically significant (at p < 0.05) differences distribution values dominance, Welch’s oneway ANOVA. Results rho significantly positive over whole period. There no apparent visual indication correlations period Delta BA.1. but these relatively small fluctuations full Ascertainment highest against least tracker incidence. three variant-dominant periods. Conclusions From September 2021 June 2022, generally reflected case rises falls. Delta-dominant highly stable. Factors than which variant dominant seem likely affected how well true

Язык: Английский

Post-COVID symptoms after SARS-CoV-2 omicron infection and the effect of booster vaccination: A population-based cohort study DOI Creative Commons
Ida Henriette Caspersen, Siri N. Skodvin, Kristine Blix

и другие.

Vaccine, Год журнала: 2025, Номер 47, С. 126664 - 126664

Опубликована: Янв. 8, 2025

Язык: Английский

Процитировано

0

Did COVID-19 surveillance system sensitivity change after Omicron? A retrospective observational study in England DOI
Julii Brainard, Iain Lake, Roger Morbey

и другие.

Опубликована: Апрель 28, 2025

Abstract Background During the COVID-19 pandemic in England, increases and falls cases were monitored using many surveillance systems (SS). However, sensitivity may have changed as different variants introduced to population, due greater disease-resistance after comprehensive vaccination programmes widespread natural infection or for other reasons. Methods Time series data from ten epidemic trackers England that available Sept 2021-June 2022 compared each Spearman correlation statistics. Least biased most timely SS identified ‘best’ standard trackers, while tracking datasets we denote complementary trackers. We best with Correlation calculations 95% confidence intervals made between tested hypothesis was especially poor during transition periods when Delta, Omicron BA.1 BA.2 sublineages dominant. Daily ascertainment percentages of incident detected variant’s dominance calculated. statistically significant (at p < 0.05) differences distribution values dominance, Welch’s oneway ANOVA. Results rho significantly positive over whole period. There no apparent visual indication correlations period Delta BA.1. but these relatively small fluctuations full Ascertainment highest against least tracker incidence. three variant-dominant periods. Conclusions From September 2021 June 2022, generally reflected case rises falls. Delta-dominant highly stable. Factors than which variant dominant seem likely affected how well true

Язык: Английский

Процитировано

0