American journal of infection control · 2025
Morbidity and absenteeism due to SARS-CoV-2 and seasonal influenza in health care personnel during the 2023 to 2024 season: A multicenter cohort study in Greece.
СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Maltezou Helena C, Gamaletsou Maria N, Giannouchos Theodoros V, Koukou Dimitra-Maria, Sourri Flora, Lemonakis Nikolaos, Karapanou Amalia, Zerva Sofia, Lourida Athanasia, Panagopoulos Periklis, Hatzigeorgiou Dimitrios, Sipsas Nikolaos V
Аннотация
BACKGROUND: To assess the morbidity and absenteeism due to SARS-CoV-2 infection or influenza among health care personnel (HCP) in Greece in 2023 to 2024.
METHODS: We followed 5,871 HCP from November 2023 to May 2024. A multivariable regression was used to estimate the association between length of absenteeism, HCP characteristics, and type of infection.
RESULTS: There were 759 episodes of absenteeism during the study period. The mean duration of absence per episode was 4.5days and the total duration of absence was 3,434days. COVID-19 was diagnosed in 507 (8.6%) HCP, asymptomatic SARS-CoV-2 infection in 10 (0.2%) HCP, and influenza in 88 (1.5%). COVID-19, influenza, and asymptomatic SARS-CoV-2 infection accounted for 66.8%, 11.6%, and 1.3% of episodes of absenteeism, respectively. Overall, SARS-CoV-2 infection and influenza accounted for 76.5% and 9.7% of total days missed, respectively. Presenteeism was recorded in 113 (14.9%) HCP. The multivariable regression model found that having SARS-CoV-2 infection and having at least 1 comorbidity were associated with a mean of 1.76 and 0.25 more days of work absence compared with those with no SARS-CoV-2 infection and no comorbidity, respectively (confidence intervals: 1.55-1.98 and 0.05-0.46, respectively).
CONCLUSIONS: COVID-19 remains the major driver of absenteeism among HCP.
METHODS: We followed 5,871 HCP from November 2023 to May 2024. A multivariable regression was used to estimate the association between length of absenteeism, HCP characteristics, and type of infection.
RESULTS: There were 759 episodes of absenteeism during the study period. The mean duration of absence per episode was 4.5days and the total duration of absence was 3,434days. COVID-19 was diagnosed in 507 (8.6%) HCP, asymptomatic SARS-CoV-2 infection in 10 (0.2%) HCP, and influenza in 88 (1.5%). COVID-19, influenza, and asymptomatic SARS-CoV-2 infection accounted for 66.8%, 11.6%, and 1.3% of episodes of absenteeism, respectively. Overall, SARS-CoV-2 infection and influenza accounted for 76.5% and 9.7% of total days missed, respectively. Presenteeism was recorded in 113 (14.9%) HCP. The multivariable regression model found that having SARS-CoV-2 infection and having at least 1 comorbidity were associated with a mean of 1.76 and 0.25 more days of work absence compared with those with no SARS-CoV-2 infection and no comorbidity, respectively (confidence intervals: 1.55-1.98 and 0.05-0.46, respectively).
CONCLUSIONS: COVID-19 remains the major driver of absenteeism among HCP.